tag:blogger.com,1999:blog-41658475267176142762024-03-16T13:52:32.683-05:00Move to ImproveDr. Nessler shares his calling and passion for injury prevention and performance enhancement using the most current research and technologies available. As a passionate educator, he is driven to share with all the latest peer reviewed journals in sports medicine and orthopedics and what that means to how we train and treat our athletes.
Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.comBlogger320125tag:blogger.com,1999:blog-4165847526717614276.post-43504369404530194982021-05-20T10:53:00.003-05:002021-05-20T10:53:48.432-05:00Changes to Move to Improve Blog - Please Read Below<p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;">We are incredibly excited to announce the launch of dorsaVi’s new blog focusing on the ViPerform Athletic Movement Index (AMI)!<span class="Apple-converted-space"> </span><o:p></o:p></p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;"><o:p> </o:p></p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;">This is a continuation of Trent’s amazing blog content, except through this new platform, we will also be keeping you up to date with dorsaVi’s amazing AMI technology. With interesting research articles, compelling case studies, and engaging interviews and webinar clips; from interviewees, such as Dr Trent Nessler himself and 10-41 Strength and Physical Therapy, dorsaVi customers.<o:p></o:p></p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;"><o:p> </o:p></p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;">This blog is a quick, easy way to keep apprised of our AMI! A space where we hope to provide you with tailored content and well-researched posts. We hope you will check it out, here:<span class="Apple-converted-space"> </span><a href="https://dorsaviami.blogspot.com/" style="color: #0563c1;">https://dorsaviami.blogspot.com/</a>, enjoy our content, and subscribe!</p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;"><br /></p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;">A Note From Trent Nessler, PT, MPT, DPT - Founder ViPerform AMI and Co-Founder Combat Athlete Science Institute</p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;"><br /></p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;"><i>Thank you all for the tremendous support since the inception of this blog in 2008. This has truly been a labor of love of mine. However, with growing demands and obligations, I have had to move this blog to the above DorsaVi blog site. This blog will be focused on the ViPerform AMI, our current research with and all the amazing things we are learning from mass data capture. I am also the Senior Sports Medicine Contributor on <a href="http://www.SportsEdTv.com">www.SportsEdTv.com</a> and will continue providing the latest in research on injury prevention and performance enhancement in athletics. </i></p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;"><i><br /></i></p><p class="MsoNormal" style="caret-color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 11pt; margin: 0in; text-size-adjust: auto;"><i>For more information, please go to my website at <a href="http://www.drtrentnessler.com">www.drtrentnessler.com</a> and our new website at <a href="http://www.combatathletescienceinstitute.com">www.combatathletescienceinstitute.com</a>. </i></p>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com2tag:blogger.com,1999:blog-4165847526717614276.post-79214988437425849732020-10-26T04:00:00.007-05:002020-10-26T04:00:00.190-05:00The Dreaded ACL Injury - Is There A Solution? _ Part V<p></p><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: left;">Last week in our discussion, we talked about the squatting motion and how some of the deficits that we note in this motion could add to weakness and some of the pathological movements we see that put our athletes at risk for injury. This despite the fact that these movement patterns may have existed for years and been reinforced as a part of their strength training program does not mean that it cannot be corrected or not a problem. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Some authors will tell you to stop the athlete from doing squats until this motion can be corrected. Frankly, I feel this is the worst thing you can do. One reason is that athletes and coaches who feel squats are a fundamental part of their training are much less likely to do or be compliant with your recommendations if you start out with this. Secondly, you don’t need to do that to correct it. If you recall from the previous blog, I mentioned that these motions that we see in non-weighted conditions tend to get worse in weighted conditions. That said, you can reduce the weight that the athlete does and get to a point where they can perform the squat without the abnormal movement. This will be at a much lighter weight than they are use to using but, this is creating a foundation from which they will build on. What we see is that athletes who correct this motion will increase their weight and many times PR above their previous PR. This makes sense because now that they are actively engaging the opposite side to the same degree and you are able to progress further than previous. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Believe it or not, there is a big controversy on whether or not fatigue increases your risk of ACL injury. Personally, I think we just have not figured out yet to accurately assess this in the research. There are studies that show that an increase in fatigue does add to an increase in frontal plane motion at the knee (Brazen et al Clic J Sport Med 2010) and that an increase in fatigue results in an increase in dynamic valgus at the knee and an increase in ground reaction forces at the knee (Nessler et al Cur Rev Musculoskelet Med 2017). We also know that fatigue leads to a decrease in maximal volitional contraction of the gluteus medius which leads to an increase in frontal plane motion (Weist et al Am J Sport Med 2004). These are all things that lead to an increased risk of injury. However, you don’t need to be a scientist or researcher to know this. As a coach, we see all the time. When our athlete’s get tired on the field their movement becomes less efficient and performance faulters. When a wrestler gets tired and they go to shoot in, this is less explosive and we see more dynamic valgus on their plant leg. I firmly believe, we have not figured out how to assess fatigue accurately in the research.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-MngS0b50M_M/X5BPrF_PkKI/AAAAAAAAHN0/Ah4OLdFEYDskhaRtyLAm5MkkqxtBMaVawCLcBGAsYHQ/s147/Picture1.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="147" data-original-width="136" src="https://1.bp.blogspot.com/-MngS0b50M_M/X5BPrF_PkKI/AAAAAAAAHN0/Ah4OLdFEYDskhaRtyLAm5MkkqxtBMaVawCLcBGAsYHQ/s0/Picture1.png" /></a></div>If you look at the studies being done to assess fatigue state in an athlete, most are using different protocols. There is no consistency in the protocols used to assess fatigue in an athlete. However, there is ONE protocol that has been shown to impact lower limb biomechanics in athletes (Quamman et al J Athl Train 2012) and it is called the FAST-FP (Functional Agility Short Term Fatigue Protocol). The FAST-FP is a great protocol that coaches can use to see the impact that fatigue and poor biomechanics will have on their athletes. This 4 ½ minute protocol that takes the athlete through a multidirectional (varying directions) as a part of the protocol. Considering, you will very accurately see where their flaws are in their movement and this can give us some further indication of some kinds of training we can do (which we will talk about next week). </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">The FAST-FP protocol has 4 exercises that are performed.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">•<span style="white-space: pre;"> </span>Starts with a 31cm step up for 30 seconds to the beat of a metronome at 220 bts/min. </div><div class="separator" style="clear: both; text-align: left;">•<span style="white-space: pre;"> </span>5 yard L-drill (depicted here) </div><div class="separator" style="clear: both; text-align: left;">•<span style="white-space: pre;"> </span>5 vertical jumps at 80% max</div><div class="separator" style="clear: both; text-align: left;">•<span style="white-space: pre;"> </span>5 yard agility latter (1st set and 3rd set done forward with high knees, 2nd and 4th set done sideways with high knees) </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">This is repeated four times without any rest. This is a great protocol for coaches who want to truly see how poor movement is impacting their athletes. For our high-level athletes (DI soccer and MMA athletes) we will run them through this prior to our movement assessment. In our higher end athletes, this will often lead to us identifying 30-40% more folks that we should include as a part of our program. Folks who’s movement changes so much that there an increased risk of injury and which we also know will negatively impact their performance. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">For coaches, this is simple and quick protocol you can implement to see the direct impact on your athlete. The key to this test is to make sure you are pushing them through. Don’t let them do it with 50% effort. I push all my athletes going through this to give me maximal effort the whole way through. That said, you should exercise caution on the step up. On the third and fourth time through, the athlete is extremely tired. It is not uncommon for the athlete to trip attempting to do the step at this point. I will typically slow them down a little on this part for safety reasons and push them hard through the remainder of the protocol. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Having done this with a 1000+ athletes, we have learned a lot. As such, it has been a main driver for implementation of the injury prevention program we used. We will talk about this in detail next week. For anyone interested in the FAST-FP protocol, follow me on Instagram at BJJPT_acl_guy and DM for the protocol. Happy to share.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Next week, we conclude this discussion by talking about fatigue state training. What is it and how do we do. I hope you found this information useful and looking forward to sharing more with you.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><div><div style="font-family: "times new roman";"><div><div style="margin: 0px;"><br class="Apple-interchange-newline" /><br /></div></div><div><div style="background-color: white; color: #545454; font-family: arial, tahoma, helvetica, freesans, sans-serif; font-size: 14.85px;"><div style="font-family: "times new roman"; line-height: 18.4px;"><div align="center" class="MsoNormal" style="line-height: 18.4px; margin-bottom: 10pt; text-align: center;"><div style="text-align: start;"><div style="border: 1pt solid; padding: 1pt 4pt;"><div style="line-height: 18.4px; padding: 0in;"><div class="separator" style="clear: both;"><span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 25 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the President for Vitality at Rebound and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div></div></div></div></div></div></div></div></div></div></div></div><p></p>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com1tag:blogger.com,1999:blog-4165847526717614276.post-22443747936898424472020-10-12T11:33:00.000-05:002020-10-12T11:33:20.334-05:00The Dreaded ACL Injury - Part IV <p>Over the course of the last couple of weeks, we have talked about the dreaded ACL (anterior cruciate ligament) injury. One of the keys in preventing these devastating injuries is education about how they occur and how we as clinicians, coaches, parents and athletes can identify what puts an athlete at risk. Over the last 2 weeks, I talked about two ways we can identify those that are at risk. One is having an athlete perform a single leg squat and what we should look for when they are performing that motion. Secondly, we talked about core testing. Not only what types of core testing to do but what things we should look for when the athlete is performing the core testing. </p><p>Identifying these flaws in these movements not only help to identify those that are at risk but also give us a clear indication of what to do to prevent. In a single leg squat for example, if the athlete’s knee is going in toward midline during the performance of the test, when we train them, don’t let them do that! Is it really that simple? Yes, it is. If your athlete cannot do 10 reps of a single leg squat without letting the knee go in towards midline, have them do as many as they can with proper form. When they can no longer control the motion and do with proper form, simply stop or better yet, regress the exercise. </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-d-K4yBB9kVU/X4SE1JUJyLI/AAAAAAAAHNA/xPvAfYeodE4oOxHE8RpCTDWIVe0c2tEYACLcBGAsYHQ/s203/Picture1.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="136" data-original-width="203" src="https://1.bp.blogspot.com/-d-K4yBB9kVU/X4SE1JUJyLI/AAAAAAAAHNA/xPvAfYeodE4oOxHE8RpCTDWIVe0c2tEYACLcBGAsYHQ/s0/Picture1.png" /></a></div>What do I mean by regression of the exercise? Simply using the same exercise but just an easier form. This allows building up of strength and endurance while pushing proper form. In a single leg squat, instead of having the opposite leg up off the ground, have them rest the opposite foot on the ground in a split squat or reverse lunge position like depicted here. This provides much more stability and is a much easier form of the exercise. Have them do this until they can no longer prevent their knee from going in toward midline. At that point stop. The goal is always to have them do as many as they can in the single leg squat position (with opposite foot off the ground). Using this technique however will not only train the proper movement pattern but also build their strength and endurance. You can take this exact same approach with the core movements well. Focus on technique and constantly progress to push strength and endurance with. <p></p><p>The last movement we will discuss on evaluating is the squat. Why the squat? One of the number one reasons is that we know that athletes who improve their performance on the squatting motion will increase their vertical jump and sprint speed. Squatting motion is an excellent movement to improve explosive power. In most athletic situations, this is also a movement that most athletes will be doing as a part of their training throughout their athletic career. </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-A30Vw1BVp8c/X4SE_uacF1I/AAAAAAAAHNE/hb92NjDk0xE-BwGr9S_-tqSyEDozZmzWQCLcBGAsYHQ/s162/Picture2.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="162" data-original-width="112" src="https://1.bp.blogspot.com/-A30Vw1BVp8c/X4SE_uacF1I/AAAAAAAAHNE/hb92NjDk0xE-BwGr9S_-tqSyEDozZmzWQCLcBGAsYHQ/s0/Picture2.png" /></a></div>To evaluate the squat, I will demonstrate a proper squat for the athlete. Verbal instruction in the motion will result in the athlete doing what you describe and NOT their natural motion. I will demonstrate with my feet shoulder width apart and squat to a 90 degrees knee flexion. My knees will be slightly over my toes and my chest in an upright position with my arms crossed in front. I will ask the athlete to perform 20 reps in a slow and controlled fashion. <p></p><p>Looking at the athlete from behind, visualize (or better yet have stand in front of) a plumb line that runs through the center of the skull, cervical spine all the way down the sacrum. As the athlete performs the squatting motion, their hips should remain relatively equal distance from the plumb line. If not, then the athlete is shifting his/her weight to one side. </p><p>This shifting is a common motion that we first identified back in early 2000s and we call this a lateral shift. In 2012, was the first research paper to describe this was published and the authors termed this a lateral displacement of the pelvis during a squatting motion. As we initially suspected, this lateral shift results in several things:</p><p>•<span style="white-space: pre;"> </span>Increase in weight distribution to the side you are shifting to</p><p>•<span style="white-space: pre;"> </span>Increase in EMG (muscle activation) to the side you are shifting to</p><p>•<span style="white-space: pre;"> </span>Increase in GRF on the side you are shifting to</p><p>There is a whole slew of additional things that occur with this shifting motion but the key is the loading is abnormal and you don’t load the way the system was designed to be loaded. With increase force on one side versus the other, this adds to a wearing and tearing on that side which can add to injury. Same time, if the muscles are more active on one side versus the other, then strength will never ever be symmetrical unless this is addressed. In addition, what we see is that if you can see this under body weight conditions, when the athlete goes into the weight room and starts doing this under a weighted bar, this motion gets even worse. This means when squatting #225, the load on the spine, hips and lower limb is greater on one side than it is on the other. For optimal performance AND injury reduction, we must balance this out. </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-Uer8m8HqMaM/X4SFI9-dsAI/AAAAAAAAHNM/18ceCUNGFDcdteFILAqutZLHorcwbEi_gCLcBGAsYHQ/s162/Picture3.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="162" data-original-width="135" src="https://1.bp.blogspot.com/-Uer8m8HqMaM/X4SFI9-dsAI/AAAAAAAAHNM/18ceCUNGFDcdteFILAqutZLHorcwbEi_gCLcBGAsYHQ/s0/Picture3.png" /></a></div>Looking at the athlete from the side view, the other motion that we look for in the squatting motion is how much flexion does the athlete get during the motion. Does their chest go down toward their knees or do they stop moving at the hips and flex forward in the spine. This motion puts a tremendous amount of load on the lumbar spine and can lead to low back injuries but also can perpetuate weakness. If an athlete has a lot of lumbar flexion during the course of the squatting motion, we know from force plate data that this brings your center of gravity forward. This can result in an increase in quadriceps activation and decreased activation of the posterior chain. What we are looking for is more of an equal distribution of the force through the foot which means there is more natural activation of anterior chain activation to posterior chain activation. This is easily corrected with a good strength coach educating them in proper squatting technique or a sports medicine physical therapist.<p></p><p>Next week, we conclude this discussion by talking about fatigue state training. What is it and how do we do. I hope you found this information useful and looking forward to sharing more with you.</p><p>*Dr. Nessler is a practicing physical therapist with over 23 years sports medicine clinical experience. He is a nationally recognized expert in the area of athletic movement assessment and injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program, author of a college textbook on this subject and published researcher. Trent has performed >5000 athletic movement assessments in the US and abroad. He is the President of Rebound Vitality providing injury prevention services for the tactical athlete and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. Follow Dr. Nessler on Instagram @ BJJPT_ACL_GUY or Twitter @ ACL_prevention. www.drtrentnessler.com* </p><p><br /></p><p><br /></p>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com3tag:blogger.com,1999:blog-4165847526717614276.post-79445325561712950952020-10-05T04:00:00.001-05:002020-10-05T04:00:04.926-05:00The Dreaded ACL Injury - Is There A Solution - Part III<p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Last week, we started a deep dive into what are some of the positions that the knee gets into that causes the non-contact ACL (dynamic valgus) and how we can assess that. However, non-contact ACL injuries are very complex and there are a lot of things feeding into this. One that is often ignored is the contribution of the core. First of all, when I talk about the core, what I am referring to is the section from the knees to the chest. From an anatomical point of view, this includes the majority of the structures that impact the core. Structures and tissues that attach to or directly influence loading to the core or kinetic energy transfer across the system. Some would argue that anything from the foot to the head would impact core, which I agree, but from a training perspective, we are sticking with my definition. <o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Before we get into the core’s impact on ACL injuries, I wanted to give you some interesting facts on the core. The core is a critical part of sports performance and yet it is so often ignored as a part of what we do with our training. In baseball, studies have shown that if you increase core stability (which is a combination of strength and endurance) you can improve pitching performance in MLB pitchers (<i><span style="font-size: 10.5pt;">Chaudhari et al J Strength Con Re 2011</span></i>). It has also been shown that improving core stability in MLB pitchers results in a 3-fold decreased risk of shoulder and elbow injuries including UCL injuries (Tommy John) and labral injuries in the shoulder (<i><span style="font-size: 10.5pt;">Chaudhari et al Am J Sport Med 2014</span></i>). Core also plays a key role on overall athletic performance. Improvements in core stability has been shown to increase vertical jump in basketball players (<i><span style="font-size: 10.5pt;">Hoshikawa et al J Strength Con Res 2013</span></i>) and improve sprint speed in sprinters (<i><span style="font-size: 10.5pt;">Tong et al Phy Ther Sport 2014</span></i>). Improvements in dynamic postural stability (which comes from the core) have been shown in several studies to reduce the risk for concussion (<i><span style="font-size: 10.5pt;">Johnston et al Am J Sport Med 2019, Garner et al In J Kines Sport Science 2020</span></i>).<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">As interesting as those facts are, the core also plays a key role in preventing of ACL injuries. Studies as far back as 2013 (<i><span style="font-size: 10.5pt;">Frank et al Am J Sports med 2013</span></i>) have shown a strong correlation to poor core stability and an increase in risk for ACL injuries. Some recent studies have even indicated certain test positions we can use for the core which have a higher predictive value for determining ACL risk (<i><span style="font-size: 10.5pt;">DeBlaiser et al Am J Sport Med 2019</span></i>). So how do we test?<o:p></o:p></p><br /><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-wGOVlqzFUbc/X1vv5XY0FvI/AAAAAAAAHKQ/DuM-_MKyBsIFwVDZG9BJP1AuN-_l6x4wgCLcBGAsYHQ/s460/Picture1.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="170" data-original-width="460" src="https://1.bp.blogspot.com/-wGOVlqzFUbc/X1vv5XY0FvI/AAAAAAAAHKQ/DuM-_MKyBsIFwVDZG9BJP1AuN-_l6x4wgCLcBGAsYHQ/s320/Picture1.png" width="320" /></a></div>The two main test we use from DeBlaiser’s study are the plank and the side plank. The key with the both of these tests or training is the proper position. If you are going to train or test it, train or test it right!<o:p></o:p><p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Plank – feet should be all the way together (not depicted), knees straight, hips AND spine neutral, shoulders and elbows at 90 degrees and downward angulated gaze (depicted).<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Test – hold for 1-minute period of time. What you are looking for:<o:p></o:p></p><p class="MsoListParagraphCxSpFirst" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">1.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Can they maintain for 1-minute period of time?<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">2.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Do they hike their hips up or slump in the spine? If they do, at what time point do they do that?<o:p></o:p></p><p class="MsoListParagraphCxSpLast" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">3.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Do one of their hips drop?<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Biomechanically and physiologically, what happens during this test tells us a lot. For our purposes here, we are going to stick with just recognizing these things and making sure when we train that we don’t let it occur. <o:p></o:p></p><br /><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNapu3lqgih93sWks-2Fnq99PU6adibch4GmtT4swUhrw9goebnCcFRqe9o41XQj_9sTvnxptJ9kg1dZEsAJcydfnXJZirYU6zD4JahP8ePL3mYNn0_vaC25eujM-QQ6Cdh9KHaGjVE36N/s376/Picture2.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="250" data-original-width="376" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNapu3lqgih93sWks-2Fnq99PU6adibch4GmtT4swUhrw9goebnCcFRqe9o41XQj_9sTvnxptJ9kg1dZEsAJcydfnXJZirYU6zD4JahP8ePL3mYNn0_vaC25eujM-QQ6Cdh9KHaGjVE36N/s320/Picture2.png" width="320" /></a></div>Side Plank – feet should be together (depicted), knees straight, hips AND spine neutral. The feet should be aligned with the knees which are aligned with the hips which are aligned with the shoulders. Shoulder and elbow should be at 90 degrees and not allowing shoulders to roll forward. Should maintain a forward gaze (depicted).<o:p></o:p><p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Test – hold for 1-minute period of time. <o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><br /></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><br /></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">What you are looking for:<o:p></o:p></p><p class="MsoListParagraphCxSpFirst" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">1.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Can they maintain for 1-minute period of time?<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">2.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Do they hike their hips up or drop? If they do, at what time point do they do that?<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">3.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Do their shoulders roll forward? If they do, at what time point do they do that?<o:p></o:p></p><p class="MsoListParagraphCxSpLast" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">4.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Does their shin drop to the ground? If it does, at what time point do they do that?<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Again, this gives us a starting point of things to recognize and train. Simply preventing these movements during both the plank test and side plank will dramatically improve core stabilization and mitigate the risk for injury in your athlete. Aside from the prevention of injury, improved performance on these movements mean the athlete will be more equipped to transfer kinetic energy from the hips to the core to the shoulders. What this means improved performance for the overhead athlete (baseball pitch velocity, volleyball serve speed and power). Improved stability of the core also means that the quads, hams and hip musculature is now pulling on a stable base and therefore able to produce more force. This means they are able to sprint faster and jump higher. A win-win.<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Next week, we will dig into how squatting impacts injury risk and performance. More importantly, what should we be looking for and how do we address? I hope you found this information useful and looking forward to sharing more with you.<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><div style="background: white; border: 1pt solid windowtext; padding: 1pt 4pt;"><p class="separator" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: none; font-family: "Times New Roman", serif; font-size: 12pt; line-height: 13.8pt; margin: 0in; padding: 0in;"><span style="color: #545454; font-size: 9pt;">Dr. Nessler is a practicing physical therapist with over 23 years sports medicine clinical experience. He is a nationally recognized expert in the area of athletic movement assessment and injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program, author of a college textbook on this subject and published researcher. Trent has performed >5000 athletic movement assessments in the US and abroad. He is the President of Rebound Vitality providing injury prevention services for the tactical athlete and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span><span style="color: #545454; font-size: 11pt;"><o:p></o:p></span></p></div><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com1tag:blogger.com,1999:blog-4165847526717614276.post-35849935906581673252020-09-28T04:00:00.000-05:002020-09-28T04:00:04.461-05:00The Dreaded ACL - Is There A Solution - Part II<p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Last time, we started our discussion talking about anterior cruciate ligament (ACL) injuries and the impact that anterior cruciate ligament reconstructions (ACLR) have on future performance. We ended the discussion asking the questions, what is it that leads to these injuries, how can we assess this as parents and coaches and what can we do about it? First, lets look at what leads to these injuries. <o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-Jp1UgFILanc/X1viaaOc2dI/AAAAAAAAHJU/Fs_ss9cz5DQDoAJ2b9GPf_yvi2NEDZ9wQCLcBGAsYHQ/s224/Picture1.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="224" data-original-width="164" src="https://1.bp.blogspot.com/-Jp1UgFILanc/X1viaaOc2dI/AAAAAAAAHJU/Fs_ss9cz5DQDoAJ2b9GPf_yvi2NEDZ9wQCLcBGAsYHQ/s0/Picture1.png" /></a></div>The majority of ACL injuries are non-contact in orientation (<i><span style="font-size: 10.5pt;">Nessler et al Cur Rev Musculo Med 2017</span></i>) meaning there is not contact with another player or external object. Typically, these occur when an athlete plants their foot and cuts off in another direction. We typically see the knee fall in towards the midline and hear the dreaded “pop”. Sometimes the athlete can keep going and sometimes the fall down immediately with pain. Their knee falling toward midline is called a dynamic valgus position at the knee which has been identified as the main mechanism for injury in professional athletes (<i><span style="font-size: 10.5pt;">Johnston et al Am J Sport Med 2018</span></i>) as well as recreational and high school athletes (<i><span style="font-size: 10.5pt;">Owusu-Akyaw et al Am J Sport Med 2018, Nessler et al Int J Athl Ther Train 2013</span></i>). The interesting thing is that you can identify those athletes that this is more likely to occur with. As a basketball or volleyball coach, you see this all the time but may not recognize it for what it is. If you are watching your players shoot or go up to block a shot during practice and as they load to jump up, watch what their knees do. Do they collapse toward midline? What you will see, is that some fall a little and some fall a whole lot. This happens in high school, college, professional and Olympic athletes. Why is that? <o:p></o:p><p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">There are a lot of factors that can result in this dynamic valgus position. One thing is large growth spurts. For our 12-14 year old athletes that go through a massive growth spurt you will typically see this start to develop. With the big change in height often comes a decrease in their sense of body awareness (<i><span style="font-size: 10.5pt;">Nessler et al Curr Rev Musculo Med 2017</span></i>) which often leads to that awkward movement patterns we see in our younger athletes. If this is never addressed, which it is often not, then this remains. In addition, weakness in the quadriceps (<i><span style="font-size: 10.5pt;">Smith et al Am J Sport med 2015, Ho et al J Physio 2015</span></i>) can lead to increase in dynamic valgus. Considering this, how can we, as non-clinicians and without high tech equipment analyze this? The easiest way to do this is have your athlete do 10 single leg squats. What you want to watch for is:<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-x5Uzfn7TFTg/X1vikOje7EI/AAAAAAAAHJY/utE9BAjyutAAN5rDIjrGWVDLx-gcxYmGwCLcBGAsYHQ/s378/Picture2.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="378" data-original-width="224" height="320" src="https://1.bp.blogspot.com/-x5Uzfn7TFTg/X1vikOje7EI/AAAAAAAAHJY/utE9BAjyutAAN5rDIjrGWVDLx-gcxYmGwCLcBGAsYHQ/s320/Picture2.png" /></a></div><br /> <p></p><p class="MsoListParagraphCxSpFirst" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">1.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Can they perform the task?<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">2.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Is there symmetry between the right side and left? Do they look the same?<o:p></o:p></p><p class="MsoListParagraphCxSpMiddle" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">3.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Does their knee fall in toward midline (middle)?<o:p></o:p></p><p class="MsoListParagraphCxSpLast" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in 0in 0in 0.5in; text-indent: -0.25in;">4.<span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span>Do they lose their balance?<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">If you see an athlete like what is depicted here, we see several things. One is that there is a significant difference between her right leg and her left leg. Her right knee is going in toward midline while her left is not. The fact that there is a difference between both sides and that one knee goes in toward midline will not only impact her risk but also impact her performance. (<i><span style="font-size: 10.5pt;">Melick et al Br J Sport Med 2016</span></i>) Secondly, what we would most likely see is when performing the single leg squats on her right side, she is more likely to lose her balance than she would on her left side (<i><span style="font-size: 10.5pt;">Markstrom et al Am J Sport Med 2020, Pappas et al Clinic J Sport Med 2011</span></i>). <o:p></o:p></p><br /><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-7jPJK5vInes/X1vitJMiTQI/AAAAAAAAHJg/wFuPsevypxwkuWYGxmqSRN3rDhnLLTQ-wCLcBGAsYHQ/s298/Picture3.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="298" data-original-width="278" src="https://1.bp.blogspot.com/-7jPJK5vInes/X1vitJMiTQI/AAAAAAAAHJg/wFuPsevypxwkuWYGxmqSRN3rDhnLLTQ-wCLcBGAsYHQ/s0/Picture3.png" /></a></div>Although there is a lot of debate about this, fatigue also plays into this. We know that as you fatigue, there and increase in this motion at your knee (<i><span style="font-size: 10.5pt;">Brazen et al Clinic J Sport Med 2010</span></i>), increase in forces at your knee (<i><span style="font-size: 10.5pt;">Nessler et al Curr Rev Mucolo Med 2017</span></i>) and a decrease in control of the muscles that control your hip and knee (<i><span style="font-size: 10.5pt;">Weist et al Am J Sport Med 2004</span></i>). One thing we know, is that when we fatigue our athletes with our standardized protocol, we see a significant impact on the way they move. The protocol we use is called the FAST-FP or functional agility short term fatigue protocol (<i><span style="font-size: 10.5pt;">Quamman et al J Athl Train 2012</span></i>) which has been show be one of the few protocols to actually draw out this dynamic valgus position we are looking to assess. It is this knowledge that has actually led to our prevention approach which we call <i>fatigue state training</i>. We will talk about this in detail later, but it is one of the key concepts we have implemented that we feel has resulted in such a significant impact on our injury rates as well as athletic performance in our athletes. Although we are using this to prevent the initial injury, studies are also now showing that this is especially critical if an athlete has had an ACLR. After an ACLR, fatigue has a bigger impact on movement and overall risk (<i><span style="font-size: 10.5pt;">Benjaminse et al Sport Health 2019</span></i>). Considering this, fatigue state training should be a critical part of returning any athlete to sport after an ACLR. <o:p></o:p><p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;">Some additional factors that we can assess that directly impact this dynamic valgus and risk of injury and impact performance are how you squat and core strength. We will discuss this more in depth in our next blog. I hope you found this information useful and looking forward to sharing more with you.<o:p></o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><div style="background: white; border: 1pt solid windowtext; padding: 1pt 4pt;"><p class="separator" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: none; font-family: "Times New Roman", serif; font-size: 12pt; line-height: 13.8pt; margin: 0in; padding: 0in;"><span style="color: #545454; font-size: 9pt;">Dr. Nessler is a practicing physical therapist with over 23 years sports medicine clinical experience. He is a nationally recognized expert in the area of athletic movement assessment and injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program, author of a college textbook on this subject and published researcher. Trent has performed >5000 athletic movement assessments in the US and abroad. He is the President of Rebound Vitality providing injury prevention services for the tactical athlete and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span><span style="color: #545454; font-size: 11pt;"><o:p></o:p></span></p></div><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-58642232682447318352020-09-21T04:00:00.002-05:002020-09-21T04:00:06.758-05:00The Dreaded ACL Injury - Is There A Solution? <p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in; text-align: justify;"><span style="font-size: 12pt; text-align: left;"></span></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-GVabpAu6RWQ/X1vf9uFPAnI/AAAAAAAAHI0/Ygai18volzUr5-ROHMvt3AlpVI1lkcxnACLcBGAsYHQ/s376/Picture1.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="376" data-original-width="342" height="320" src="https://1.bp.blogspot.com/-GVabpAu6RWQ/X1vf9uFPAnI/AAAAAAAAHI0/Ygai18volzUr5-ROHMvt3AlpVI1lkcxnACLcBGAsYHQ/s320/Picture1.png" /></a></div><br /><span style="font-family: inherit;">Whether you are a parent, an athlete or a coach, when you think about one of the most dreaded sports injuries for an athlete to have, the ACL or anterior cruciate ligament often rises to the top mind.<span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">All of us have either had personal experience with or know someone that has suffered an ACL injury.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">This topic became a huge passion for me and a part of a higher calling when I had 22 young athletes come into my sports physical therapy practice over a 2-week period with an ACLR (anterior cruciate ligament reconstruction). </span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">I knew I had to do something about it.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">As a master’s degree level PT, I knew I needed to know more so went back to school to do my doctorate to focus on biomechanics and motor learning.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">That was in the year 2000.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">I wanted to learn what was leading to these injuries and how could we prevent.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">I was determined to try to find out as much as I could, to become a part of the solution versus just treating these athletes the same way we always have.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">To change this trend, I knew we had to do something very different.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">This is one reason I have spent the last 20 years investigating ways to prevent these injuries in athletes as both a treating clinician and as a researcher.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">In 2017, we commercially launched a technology to assess movement patterns that we now know put athletes at risk for these injuries.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">Since then, we have collected data on over 20,000 athletes and have >20M data points related to movement and risk.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">With this level of mass data, we are learning more than we ever have before and are leading the research by ~3-5 years.</span><span style="font-size: 12pt; text-align: left;"> </span><span style="font-size: 12pt; text-align: left;">In this series, I hope to share with you what we have learned and some really exciting things that are being done on the prevention side that you can implement today to make a difference.</span><span style="font-size: 12pt; text-align: left;"> </span></span><p></p><p class="MsoNormal" style="font-size: 12pt; margin: 0in;"><span style="font-family: inherit;"><o:p></o:p></span></p><p class="MsoNormal" style="font-size: 12pt; margin: 0in;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-oQ2OJu9TOag/X1vgGbSnVQI/AAAAAAAAHJA/ekDhEaC1NRIF5_f-GolN8RkJEjjsg1OawCPcBGAYYCw/s350/Picture2.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><span style="font-family: inherit;"><img border="0" data-original-height="350" data-original-width="254" height="320" src="https://1.bp.blogspot.com/-oQ2OJu9TOag/X1vgGbSnVQI/AAAAAAAAHJA/ekDhEaC1NRIF5_f-GolN8RkJEjjsg1OawCPcBGAYYCw/s320/Picture2.png" /></span></a></div><div style="text-align: left;"><span style="font-family: inherit;"><br /></span></div><div style="text-align: left;"><span style="font-family: inherit;">The first thing that became apparent was that education is the foundation to creating ch<span style="font-size: 12pt;">ange.</span><span style="font-size: 12pt;"> </span><span style="font-size: 12pt;">To that end, it is important to understand the scope of this problem or epidemic. In the US alone, there are 250,000+ ACL injuries (</span><i style="font-size: 12pt;"><span style="font-size: 10.5pt;">AAOSM Annual Conference 2016</span></i><span style="font-size: 12pt;">) resulting in over a $5B annual health care cost for the primary injury alone. This does not include the 79% of ACLR athletes that develop knee arthritis in 12 years (</span><i style="font-size: 12pt;"><span style="font-size: 10.5pt;">Holm et al Am J Sport Med 2012</span></i><span style="font-size: 12pt;">) or the 28</span><span style="font-size: 12pt;">% that have a revision in 2 years (</span><i style="font-size: 12pt;"><span style="font-size: 10.5pt;">Rousseau et al Am J Sport Med 2019</span></i><span style="font-size: 12pt;">). So if a 12 year old tears their ACL, they start developing arthritis by the time they are 24 and have a high probability of reinjury! If you were to consider this additional cost (arthritis and reinjury), this would be well over a $10B annual health care costs. </span></span></div><p></p><p class="MsoNormal" style="font-size: 12pt; margin: 0in;"><span style="font-family: inherit;"><o:p></o:p></span></p><p class="MsoNormal" style="font-size: 12pt; margin: 0in;"><o:p><span style="font-family: inherit;"> </span></o:p></p><div style="margin: 0in; text-align: left;"><span style="font-family: inherit;">As disappointing as those stats are, what really is heart breaking is that a younger athlete (14-16 years old) who tears their ACL, 1 in 4 of them will suffer a second ACL injury at some point in their athletic career (<i>Wiggins et al Am J Sport Med 2016</i>). Even worse, if a high school athlete tears their ACL prior to a college athletic career, they are 50% more likely to end up on the disabled list in college, cost the university 50% more in health care costs and are 8 times more likely to suffer an ACL injury during their college athletic career (<i>Rugg et al Am J Sport Med 2014</i>). Obviously, preventing the initial ACL injury is key. But is that possible? Before we talk about that, how many athletes go back to play their sport after an ACLR? </span></div><p class="MsoNormal" style="margin: 0in;"><span style="font-family: inherit;"><o:p></o:p></span></p><span style="font-family: inherit;"><br /></span><p class="MsoNormal" style="margin: 0in;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-4hHu3Wa3t5c/X1vg1puY1TI/AAAAAAAAHJI/P6D3sk27m6E1yIS4lCQLJyu8w3Vk3riswCLcBGAsYHQ/s350/Picture3.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><span style="font-family: inherit;"><img border="0" data-original-height="286" data-original-width="350" src="https://1.bp.blogspot.com/-4hHu3Wa3t5c/X1vg1puY1TI/AAAAAAAAHJI/P6D3sk27m6E1yIS4lCQLJyu8w3Vk3riswCLcBGAsYHQ/s320/Picture3.png" width="320" /></span></a></div><span style="font-family: inherit;">If you ask most surgeons how many of their athletes return to sport following an ACLR, most will tell you 85-95%. That is awesome, but what does that mean? Does that may mean the athlete goes back and sits on the sidelines or plays half their regular time? It couldn’t mean that right? Most of us assume return to sport means back at the same level they were before and at 100% previous level of performance. But sadly, that simply is not the case. Looking at the research, you would think professional athletes would fair much better than most. When looking at NFL football players who have had an ACLR, what we see is that their athletic performance is decreased (decreased sprint speed, percentage of tackles is down, etc) for up to two years following return to sport after an ACLR (<i>Mia et al Am J Sport Med 2017</i>). Keep in mind, the mean time for return to play in professional football players is 10.4 months (<i>Logstaffee et al Am J Sport med 2020</i>). If you include the time it takes for them to get back to play plus their decreased performance once returned, this is a three year impact! Coaches, think what this does for your overall team’s performance if this is one of your key players! What the studies also show is that their professional career is decreased by 2 years (<i>Mia et al Am J Sport Med 2017</i>). This is professional athletes. Folks who have 24 hour access to some of the best health care and some of the latest technology and advances in sports science available. Folks who have rehab 2 times per day and an athletic trainer at their beckon and call. Knowing all this, it just further stresses the fact that we have to prevent the initial injury from occurring. Can we really prevent these injuries? The quick answer is, we can prevent a large percentage of these. Up to 80%. But first, we have to know what put them at risk and how do we as athletes, parents, coaches and sports medicine professionals address.<o:p></o:p></span><p></p><p class="MsoNormal" style="margin: 0in;"><o:p><span style="font-family: inherit;"> </span></o:p></p><p class="MsoNormal" style="margin: 0in;"><span style="font-family: inherit;">Next blog, we will start that discussion. What is it that leads to these injuries, how can we assess this as parents and coaches and what can we do about it. Hope you found this information useful and looking forward to helping you keep your athletes in the game. </span><span style="font-family: Calibri, sans-serif; font-size: 12pt;"><o:p></o:p></span></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><div style="background: white; border: 1pt solid windowtext; padding: 1pt 4pt;"><p class="separator" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: none; font-family: "Times New Roman", serif; font-size: 12pt; line-height: 13.8pt; margin: 0in; padding: 0in;"><span style="color: #545454; font-size: 9pt;">Dr. Nessler is a practicing physical therapist with over 23 years sports medicine clinical experience. He is a nationally recognized expert in the area of athletic movement assessment and injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program, author of a college textbook on this subject and published researcher. Trent has performed >5000 athletic movement assessments in the US and abroad. He is the President of Rebound Vitality providing injury prevention services for the tactical athlete and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span><span style="color: #545454; font-size: 11pt;"><o:p></o:p></span></p></div><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p style="font-family: "Times New Roman", serif; font-size: 12pt; margin: 0in 0in 12pt;"><o:p> </o:p></p><p align="center" class="separator" style="font-family: "Times New Roman", serif; font-size: 12pt; margin: 0in; text-align: center;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com1tag:blogger.com,1999:blog-4165847526717614276.post-74113351379849696372020-09-14T04:00:00.003-05:002020-09-14T04:00:00.843-05:002020 Sports Season: Proceed With Caution - A Clinical Commentary<div class="separator"><p style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-QGs_94AQ_9Y/X1vnrFVFzBI/AAAAAAAAHJw/_yC9xRvYTfwyk8-JgHOo-SbD95QmDT1sgCLcBGAsYHQ/s259/download.jpeg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="194" data-original-width="259" src="https://1.bp.blogspot.com/-QGs_94AQ_9Y/X1vnrFVFzBI/AAAAAAAAHJw/_yC9xRvYTfwyk8-JgHOo-SbD95QmDT1sgCLcBGAsYHQ/s0/download.jpeg" /></a></div>As a sports medicine physical therapist, I have been blessed to work with high school, collegiate and professional athletes for 24+ years. As most of you know, I have devoted the majority of my professional career to a calling. The calling of prevention. Although it started in ACL prevention, it has expanded to all preventable lower limb injuries. This started over 20 years ago and is a part of what I do every hour, every day. With the commercial launch of the DorsaVi ViPerform AMI (athletic movement index), adoption in professional, collegiate and sports rehabilitation, this has allowed access to a level of data that previously was unobtainable in our industry. With this work and associated research, this has afforded me the opportunity to travel and work with the industries best orthopedic surgeons, physical therapists and athletic trainers in the US.<p></p></div><p>COVID-19 has impacted all our lives in ways we may not full realize yet. One thing that happened across the US, was that there were 10s of thousands of athletes who had ACL reconstructions (ACLR) who were no longer able to continue with their one on one physical therapy. Most had access to their therapists via telehealth. As good as that may be, it is never as good as one on one physical therapy. For some athletes, this was only a minor inconvenience lasting only a couple of weeks. However, for 1000s of our athletes, this meant months of no one on one therapy. These athletes had to rely on what their PT could see over the computer, instruct over the computer and the hope that the athlete continued with their individualized program correctly. One of the things we do prior to returning an athlete to sport is we run them through a series of tests (ViPerform AMI). This test measures how stable the athlete is through a series of sport related movements. This gives us a good indication on whether or not the athlete is physically ready for the rigorous demands of sports and stable enough to not stress their reconstructed ACL. </p><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/NsFegaDbg0g" width="320" youtube-src-id="NsFegaDbg0g"></iframe></div><p>For definition purposes, I am going to refer post-COVID. What I mean is athletes who have been undergoing rehab via telehealth and not had traditional regular pre-COVID PT. This DOES not refer to athletes who have had COVID. Having defined that, if we compare our athletes who have been tested at 6 months, 9 months and 12 months post ACLR pre-COVID to those who we testing now post COVID, we see an alarming drastic difference. Those athletes who we are testing post COVID have much greater quadriceps deficit, much less control of dynamic valgus in single limb performance, much greater speeds of valgus in single limb testing and less pelvic and core control. These athletes, on the average, are 3-4 months behind what we see in pre-COVID test results. This is extremely alarming since these athletes think they are at 6 or 9 months post ACL when in reality, they are functionally where they are typically at when at the 3 to 6 months post op mark. </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://1.bp.blogspot.com/-BokrPmVgS_k/X1vs4W4wAQI/AAAAAAAAHKA/FqVW0YiERZQUitX0S4Bv5-FP1yj3rdNFQCLcBGAsYHQ/s629/Speed-Ladder-Drill1-629x419.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="419" data-original-width="629" src="https://1.bp.blogspot.com/-BokrPmVgS_k/X1vs4W4wAQI/AAAAAAAAHKA/FqVW0YiERZQUitX0S4Bv5-FP1yj3rdNFQCLcBGAsYHQ/s320/Speed-Ladder-Drill1-629x419.jpg" width="320" /></a></div>I don't ever preach what someone should do but as a parent of an athlete and someone who functions in this area 24/7, if my child had an ACLR and their rehab was done during COVID-19, I would seriously consider taking a season off to prepare for next season. Statistics for re-injury with return to sport are not great. Mark my words, this year, it will be 2 to 3 times what it has been in the past. In addition to the ACLR athlete, we also have a high incidence of ACL injuries in athletics in the US during a normal season. This year, we are starting seasons with 1/2 of the normal conditioning time coming off an unprecedented time in our history when athletes did NOT have access to training facilities. For 80-90% of athletes, this means they are going into a season in a deconditioned state. One thing that the research is very clear on is if you take a deconditioned athlete into a normal sports season with normal preseason conditioning, the likelihood of injury is high. Now you shorten the pre-season conditioning and you compound that problem even more. <p></p><p>I don't say this to discourage athletics this season. I say this to encourage us to think through what this should look like on an athlete by athlete basis. I, as well as many of the leading experts in sports medicine, have a great fear of the injuries we will see this year. We think we are about to see an unprecedented number of ACL injuries and concussion. That is why I am devoting the next two series to The Dreaded ACL Injury and Concussion. I will put screenings you can do with your athlete as well as some exercises to improve performance. For those looking to get their athlete assessed, there are over 400 providers across the US using the Viperform AMI. Feel free to DM on instagram @bjjpt_ACL_guy or twitter @ ACL_prevention. I hope you enjoy this series, God Bless and keep safe.</p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><div style="background: white; border: 1pt solid windowtext; padding: 1pt 4pt;"><p class="separator" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: none; font-family: "Times New Roman", serif; font-size: 12pt; line-height: 13.8pt; margin: 0in; padding: 0in;"><span style="color: #545454; font-size: 9pt;">Dr. Nessler is a practicing physical therapist with over 23 years sports medicine clinical experience. He is a nationally recognized expert in the area of athletic movement assessment and injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program, author of a college textbook on this subject and published researcher. Trent has performed >5000 athletic movement assessments in the US and abroad. He is the President of Rebound Vitality providing injury prevention services for the tactical athlete and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span><span style="color: #545454; font-size: 11pt;"><o:p></o:p></span></p></div><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p><p class="MsoNormal" style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0in;"><o:p> </o:p></p>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-23931187430906468182020-09-07T04:00:00.001-05:002020-09-07T04:00:06.689-05:00One hour Q&A with Dr. Nessler - Part III<div>Last couple of weeks I started this series in an effort to give back to my faithful viewers, I decided to try something a little different for this series where I broke down a one hour Q&A into small 2-3 minute snippets. This will be the last in this series. I hope you enjoy and if this is something you would like to see more of or some specific questions, please message me on either instagram or twitter (both below) and I am happy to address.</div><div><br /></div><div><b><i>Question 7: How does movement impact all lower kinetic chain injuries?</i></b></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/0fAQCvvGWbM" width="320" youtube-src-id="0fAQCvvGWbM"></iframe></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div><br /></div><div><b><i>Question 8: How much room do you need to perform a comprehensive assessment?</i></b></div><div><br /></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/5tB_EZXSN2o" width="320" youtube-src-id="5tB_EZXSN2o"></iframe></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div><b><i>Question 9: What research do you cite when talking to MDs about movement assessment?</i></b></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/otuH2cD0MB8" width="320" youtube-src-id="otuH2cD0MB8"></iframe></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div><br /></div><div><b><i>Question 10: How long does it take to perform a comprehensive assessment and is technology like this affordable?</i></b></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/vjWUbCmnFus" width="320" youtube-src-id="vjWUbCmnFus"></iframe></div><div><br /></div><div>As always, I appreciate all our followers and hope you find the information we provide useful in your practice with your athletes. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div><div><div style="font-family: "times new roman";"><div><div style="margin: 0px;"><br /></div></div><div><div style="background-color: white; color: #545454; font-family: arial, tahoma, helvetica, freesans, sans-serif; font-size: 14.85px;"><div style="font-family: "times new roman"; line-height: 18.4px;"><div align="center" class="MsoNormal" style="line-height: 18.4px; margin-bottom: 10pt; text-align: center;"><div style="text-align: start;"><div style="border: 1pt solid; padding: 1pt 4pt;"><div style="line-height: 18.4px; padding: 0in;"><div class="separator" style="clear: both; font-size: 14.85px; text-align: left;"><span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div><div><span style="font-size: 9pt; line-height: 12.84px;"><br /></span></div></div></div></div></div></div></div></div></div></div>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com8tag:blogger.com,1999:blog-4165847526717614276.post-66335502958522753592020-08-31T04:00:00.001-05:002020-08-31T04:00:03.078-05:00One hour Q&A with Dr. Nessler - Part II<div>Last week I started this series in an effort to give back to my faithful viewers, I decided to try something a little different for this series where I broke down a one hour Q&A into small 2-3 minute snippets. I hope you enjoy and if this is something you would like to see more of or some specific questions, please message me on either instagram or twitter (both below) and I am happy to address.</div><div><br /></div><div><b><i>Question 4: Is there an ROI for the patient and the practice with technology like this?</i></b></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/BYp0NQW7Vjo" width="320" youtube-src-id="BYp0NQW7Vjo"></iframe></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div><br /></div><div><b><i>Question 5: How does concussion impact lower kinetic chain injuries?</i></b></div><div><br /></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/-t7zQ8KhYoI" width="320" youtube-src-id="-t7zQ8KhYoI"></iframe></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div><br /></div><div><b><i>Question 6: Why do you use wearable sensor technology?</i></b></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/EK8y_SsHeaU" width="320" youtube-src-id="EK8y_SsHeaU"></iframe></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div><br /></div><div>I hope you found this information valuable. Next week, we will have the next three Q&A from the webinar. As always, I appreciate all our followers and hope you find the information we provide useful in your practice with your athletes. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div><div><div style="font-family: "times new roman";"><div><div style="margin: 0px;"><br /></div></div><div><div style="background-color: white; color: #545454; font-family: arial, tahoma, helvetica, freesans, sans-serif; font-size: 14.85px;"><div style="font-family: "times new roman"; line-height: 18.4px;"><div align="center" class="MsoNormal" style="line-height: 18.4px; margin-bottom: 10pt; text-align: center;"><div style="text-align: start;"><div style="border: 1pt solid; padding: 1pt 4pt;"><div style="line-height: 18.4px; padding: 0in;"><div class="separator" style="clear: both; font-size: 14.85px; text-align: left;"><span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div><div><span style="font-size: 9pt; line-height: 12.84px;"><br /></span></div></div></div></div></div></div></div></div></div></div>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-57483017858656545652020-08-24T04:00:00.001-05:002020-08-24T04:00:07.860-05:00One hour Q&A with Dr. Nessler<div>Over the last 15+ years I have had the pleasure of divulging into one of my true passions. Teaching. I initially started teaching for MDs, DCs, PTs, ATCs and strength coaches back in 1997. Since then, I have been blessed to teach all over the US and abroad. I love sharing the passion for what we do, how we do it and what we are learning. Last year alone, I was blessed to teach at 35+ conferences in the US. Since COVID-19, this has led to an entirely new way of teaching for me, virtually. Although I fully anticipated this to be the year that I did a lot less teaching, it has actually turned out to be one of the busiest teaching years yet. </div><div><br /></div><div>This blog was initially started as a way to provide the athletes I treated with an avenue to get reliable evidence based information. However, it has expanded to be much more than that. Today, we get over 100 views a day and majority of these are professionals looking for evidence based information. I am honored you would come here for that. You have no idea how seriously I take that. Over the five history of this blog, I have never done a video Q&A. Recently, however, I was afforded the opportunity to take live Q&A about movement, what we are learning and how we can apply this to our practice. </div><div><br /></div><div>In an effort to give back to my faithful viewers, I decided to try something a little different for this series. I have broken this one hour Q&A into small 2-3 minute snippets. I hope you enjoy and if this is something you would like to see more of or some specific questions, please message me on either instagram or twitter (both below) and I am happy to address.</div><div><br /></div><div><b><i>Question 1: What was the inspiration to start looking at movement at the depth you do for the last 20 years?</i></b></div><div><br /></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/uz7B5vG_rbk" width="320" youtube-src-id="uz7B5vG_rbk"></iframe></div><div><br /></div><div><b><i>Question 2: How did you choose the movements that you look at and why?</i></b></div><div><br /></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/Cd0jOypHn0A" width="320" youtube-src-id="Cd0jOypHn0A"></iframe></div><div><br /></div><div><b><i>Question 3: How are you evaluating movement for making more informed return to play decisions?</i></b></div><div><br /></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/IS-jgTDg5t4" width="320" youtube-src-id="IS-jgTDg5t4"></iframe></div><div><br /></div><div><br /></div><div>I hope you found this information valuable. Next week, we will have the next three Q&A from the webinar. As always, I appreciate all our followers and hope you find the information we provide useful in your practice with your athletes. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div><div><div style="font-family: "times new roman";"><div><div style="margin: 0px;"><br /></div></div><div><div style="background-color: white; color: #545454; font-family: arial, tahoma, helvetica, freesans, sans-serif; font-size: 14.85px;"><div style="font-family: "times new roman"; line-height: 18.4px;"><div align="center" class="MsoNormal" style="line-height: 18.4px; margin-bottom: 10pt; text-align: center;"><div style="text-align: start;"><div style="border: 1pt solid; padding: 1pt 4pt;"><div style="line-height: 18.4px; padding: 0in;"><div class="separator" style="clear: both; text-align: left;"><span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div><div><span style="font-size: 9pt; line-height: 12.84px;"><br /></span></div></div></div></div></div></div></div></div></div></div>Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-72021152309838608512020-08-17T04:00:00.000-05:002020-08-17T04:00:01.596-05:00Poor Movement = Decreased Athletic Performance - Part IVLast week we concluded this discussion looking at the impact that pathokinematics has on flexibility. This week, we will conclude this series by looking at the impact pathokinematics has on balance.<br />
<br />
<div class="MsoNormal" style="line-height: 150%; margin: 0in 0in 0pt;">
<b style="mso-bidi-font-weight: normal;"><i style="mso-bidi-font-style: normal;"><span style="font-size: 13pt; line-height: 150%;">Balance and Lower Extremity Control<o:p></o:p></span></i></b></div>
<br />
Balance is physical equilibrium or
the ability to maintain stability produced by even distribution of weight on
each side of a vertical axis.<span style="mso-spacerun: yes;"> </span>In humans,
there are three factors that influence balance.<span style="mso-spacerun: yes;">
</span>These are<span style="color: blue; font-family: times new roman, serif;">:</span><o:p></o:p><br />
<br />
<div style="line-height: 150%; margin-left: 0.25in; mso-list: l1 level1 lfo2; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: "symbol"; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><u>The <span style="mso-bidi-font-weight: bold;">Vestibular
System</span></u>: complex mechanism in the inner ear that controls
balance by monitoring the position of your head.<o:p></o:p></div>
<br />
<div style="line-height: 150%; margin-left: 0.25in; mso-list: l1 level1 lfo2; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: "symbol"; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><u>The <span style="mso-bidi-font-weight: bold;">Visual
System</span>:</u> uses input from your eyes to detect changes in the
floor surface.<o:p></o:p></div>
<br />
<div style="line-height: 150%; margin-left: 0.25in; mso-list: l1 level1 lfo2; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="font-family: "symbol"; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><u>The <span style="mso-bidi-font-weight: bold;">Somatosensory/Proprioception
System</span></u>: Uses sensory input from your lower extremities to give
your brain feedback about the body’s relationship to the floor.<o:p></o:p></div>
<br />
Some authors argue that there is a
fourth component that influences balance which is a psychological component:<span style="mso-spacerun: yes;"> </span>the fear of falling.<span style="mso-spacerun: yes;"> </span>For our purposes and for the athletic
population, we will address only the three factors listed above.<span style="mso-spacerun: yes;"> </span>Of those factors, pathokinematics has the
largest influence on the somatosensory system or proprioception.<span style="mso-spacerun: yes;"> </span>So prior to talking about the impact pathokinematics
has on the somatosensory system or proprioception, we must first define
proprioception.<span style="mso-spacerun: yes;"> </span><o:p></o:p><br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://2.bp.blogspot.com/-9eCxrcQVhx4/VgHTHOq1ivI/AAAAAAAAC-o/8D5biTorSRo/s1600/6.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="186" src="https://2.bp.blogspot.com/-9eCxrcQVhx4/VgHTHOq1ivI/AAAAAAAAC-o/8D5biTorSRo/s320/6.jpg" width="320" /></a></div>
<a href="http://4.bp.blogspot.com/-b7xHUOzP2og/VgHTPkpggEI/AAAAAAAAC-w/smWyZAPUGxk/s1600/7.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="237" src="https://4.bp.blogspot.com/-b7xHUOzP2og/VgHTPkpggEI/AAAAAAAAC-w/smWyZAPUGxk/s320/7.png" width="320" /></a>Proprioception is the sense of the
relative position of neighboring parts of the body, joint position and the strength
of effort being employed during movement.<span style="mso-spacerun: yes;">
</span>This complex sense is provided by multiple systems (<u>Neuroscience</u>,
2nd edition, by Purves et al. 2001)<span class="st1"> </span>including the inner
ear (bony labyrinth) and sensory r<span class="st1">eceptors in the joint
capsule, in the musculotendinous junction (golgi tendon organ) and within the
muscle (muscle spindle).<span style="mso-spacerun: yes;"> </span>Stimulation of
these systems contributes to our sense of awareness of where our body is in
space.<span style="mso-spacerun: yes;"> </span>Several factors that can
negatively impact this input are injury, pain and/or abnormal movements (bad
technique) performed over time.<span style="mso-spacerun: yes;"> </span>With
regard to this last factor, we need to remember that poor movement patterns
repeated over time result in repetitive stimulation of these systems in these
altered positions.<span style="mso-spacerun: yes;"> </span>This, in a sense, “teaches”
the fibers that this is the “correct movement or posture” when in fact, it is
not. <o:p></o:p></span><br />
<span class="st1"></span><br />
<span class="st1">The same is true with pathokinematics over
time.<span style="mso-spacerun: yes;"> </span>The body becomes accustomed to
moving in this way, and the athlete senses that this is normal movement---it
“feels” right.<span style="mso-spacerun: yes;"> </span>Again, let’s use the example
of the athlete above who squats with the obvious lateral shift.<span style="mso-spacerun: yes;"> </span>Because he has trained his body over the span
of months to squat in this way (or he has <i style="mso-bidi-font-style: normal;">allowed</i>
himself, knowingly or unknowingly, to squat in this way) his body perceives
this as “normal.”<span style="mso-spacerun: yes;"> </span>When moved into a more
anatomically correct movement pattern, he feels awkward, weak and perceives the
positions and motions as abnormal.<span style="mso-spacerun: yes;"> </span>This
is due in part to the proprioceptors in his lower extremity.<span style="mso-spacerun: yes;"> </span>They must be re-trained to sense this “new”
position as correct relative to space.</span><o:p></o:p><br />
<br />
<a href="http://2.bp.blogspot.com/-GKqND3cY5cE/VgHTXn39sDI/AAAAAAAAC-4/e55i5t1PD2g/s1600/8.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="320" src="https://2.bp.blogspot.com/-GKqND3cY5cE/VgHTXn39sDI/AAAAAAAAC-4/e55i5t1PD2g/s320/8.png" width="208" /></a>So, let’s examine this concept in
more depth as it relates to performance by looking at proprioception or balance
in the core and hip (marked in red in the photograph).<span style="mso-spacerun: yes;"> </span>A decrease in proprioception and balance in
the core and hip can lead to many performance limitations, and we see this especially
in many of our female athletes.<span style="mso-spacerun: yes;"> </span>Such a
deficiency in proprioception can present itself in the form of an inability of
the athlete to disassociate lumbar spine motion from hip motion, as in the
example of lumbopelvic disassociation.<span style="mso-spacerun: yes;">
</span>Also if one has weak hips, particularly in the stabilizing muscles of
the hip such as the gluteus medius and other smaller and/or deeper stabilizers,
(gluteus minimus, gemelli, obturators, tensor fasciae latae, quadratus femoris),
we might expect to see a reduction in the ability of the athlete to balance,
especially during single limb activities.<span style="mso-spacerun: yes;"> </span><span style="mso-spacerun: yes;"> </span><o:p></o:p><br />
<br />
In an unpublished 2009 study, a
group of examiners assessed 3 different movement screens commonly used in
sports medicine and implemented these during collegiate and high school
physicals over the span of 3 years.<span style="mso-spacerun: yes;"> </span>Subjects consisted of 600 male and female
athletes ranging in age of 15 years old to 20 years old.<span style="mso-spacerun: yes;"> </span>One of screens used during this study was the
Star Excursion Balance Test.<span style="mso-spacerun: yes;"> </span>One of the
key movements being assessed during this test by examiners was posterior medial
movement (shown above).<span style="mso-spacerun: yes;"> </span>This motion
requires a significant amount of proprioception in the hip as well as gluteus
medius strength in order to stabilize the knee in a closed kinetic chain
situation like this one.<span style="mso-spacerun: yes;"> </span>Male athletes
performed favorably on this movement with 80% of subjects able to perform the
test to within 10 cm of the contralateral limb.<span style="mso-spacerun: yes;">
</span>Female athletes performed less favorably, with less than 55% of subjects
able to perform the test to within 10 cm of the contralateral limb.<span style="mso-spacerun: yes;"> </span>Most examiners noted that females would first
lose control at the hip and fall into a trendelenburg (versus pronating at the
foot first) which would be followed by loss of control at the knee which would
lead to the knee moving into a valgus position.<span style="mso-spacerun: yes;">
</span><o:p></o:p><br />
<br />
One of the questions one might ask
at this point is whether or not it is the pathokinematics that lead to
significant reductions in balance and lower extremity control over time or is
it the reductions in balance and lower extremity control that lead to pathokinematics?<span style="mso-spacerun: yes;"> </span>Again, it is the question of the egg before
the chicken or the chicken before the egg.<span style="mso-spacerun: yes;">
</span>Although we don’t know the answer to this question, we <i style="mso-bidi-font-style: normal;">do know</i> is that both present together in
a majority of cases and if we improve proprioception, then we also see a
corresponding improvement in pathokinematics.<span style="mso-spacerun: yes;">
</span>And, of course improved balance, body control and movement all lead to
athletic performance improvement and reduction in injuries.<br />
<br />
<div class="MsoNormal" style="line-height: 150%; margin: 0in 0in 0pt;">
<b style="mso-bidi-font-weight: normal;"><i style="mso-bidi-font-style: normal;"><span style="font-size: 13pt; line-height: 150%;">Reaction Time<o:p></o:p></span></i></b></div>
<br />
The last performance related area
we would like to address that is directly affected by pathokinematics is
reaction time.<span style="mso-spacerun: yes;"> </span>Before we discuss the
impact of pathokinematics on reaction time, let’s review some basic concepts on
reaction time.<span style="mso-spacerun: yes;"> </span>Reaction time, in the most
simplistic terms, is a combination of:<br />
<br />
<div class="MsoListParagraphCxSpFirst" style="line-height: 150%; margin: 0in 0in 0pt 0.5in; mso-list: l0 level1 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">1.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";"> </span></span><!--[endif]-->Perception
time – time from which the athlete senses the need for movement (my opponent is
moving to the right) to the time the athlete chooses the appropriate response
(response selection – I need to cut to the left).<span style="mso-spacerun: yes;"> </span>This is often referred to as processing time
as it is the time that it takes for the person to sense a stimulus, the brain
to process it and then select the appropriate movement.<span style="mso-spacerun: yes;"> </span>This requires visual input, the processing of
that input in the higher centers of the brain, and then a selection of the
appropriate motor program (in the primary motor cortex).<span style="mso-spacerun: yes;"> </span>There are a lot of factors that impact
perception time or processing time<a href="file:///C:/Users/108371/Documents/Textbook/Blog/Chapter%204.docx" name="_ednref7" style="mso-endnote-id: edn7;" title=""><span class="MsoEndnoteReference"><span style="mso-special-character: footnote;"><!--[if !supportFootnotes]--><span class="MsoEndnoteReference"><span style="font-family: "times new roman" , "serif"; font-size: 12pt;"><span style="color: blue;">[vii]</span></span></span><!--[endif]--></span></span></a>.<span style="mso-spacerun: yes;"> </span>These include but are not limited to:<o:p></o:p></div>
<br />
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">a.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Mental alertness</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">b.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Mental rehearsal</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">c.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Age</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">d.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Vision</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">e.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Distraction level</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">f.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Fatigue<o:p></o:p></div>
<br />
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 0.5in; mso-list: l0 level1 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">2.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";"> </span></span><!--[endif]-->Movement
time – once the response is selected, movement time is the time that it takes
the athlete to execute the required movement.<span style="mso-spacerun: yes;">
</span>There are a lot of factors that impact movement time.<span style="mso-spacerun: yes;"> </span>These include but are not limited to:<o:p></o:p></div>
<br />
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">a.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Age</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">b.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Gender</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">c.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Fatigue</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">d.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Exercise</div>
<div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">e.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Stimulus drugs</div>
<div class="MsoListParagraphCxSpLast" style="line-height: 150%; margin: 0in 0in 0pt 1in; mso-add-space: auto; mso-list: l0 level2 lfo1; text-indent: -0.25in;">
<!--[if !supportLists]--><span style="mso-list: Ignore;">f.<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span><!--[endif]-->Illness<o:p></o:p></div>
<br />
Understanding the components of
reaction time and the factors which positively or negatively impact reaction
time gives us a better understanding of how pathokinematics can play a role in
limiting performance by increasing reaction time.<span style="mso-spacerun: yes;"> </span>For example, if an athlete demonstrates significant
pathokinematics resulting in altered length tension relationships, decreased
efficiency of movement, poor proprioception, and decreased endurance, then one
can easily see how reaction time would be negatively impacted.<span style="mso-spacerun: yes;"> </span>This is especially true and more evident in
later phases of the game when an athlete’s pathokinematics may become more
pronounced and the efficiency of the system becomes compromised to an even greater
degree due to fatigue and other contributing factors.<span style="mso-spacerun: yes;"> </span><o:p></o:p><br />
<o:p></o:p><br />
<o:p>I</o:p>n sports in which speed and explosive
movements are important, reaction times are imperative to overall athletic
performance.<span style="mso-spacerun: yes;"> </span>Improvement of factors that
result in decreased efficiency throughout the system and the resulting
efficient transfer of energy across that system, can and will result in the
reduction of time from initiation of a given movement to full execution of that
movement<a href="file:///C:/Users/108371/Documents/Textbook/Blog/Chapter%204.docx" name="_ednref8" style="mso-endnote-id: edn8;" title=""><span class="MsoEndnoteReference"><span style="mso-special-character: footnote;"><!--[if !supportFootnotes]--><span class="MsoEndnoteReference"><span style="font-family: "times new roman" , "serif"; font-size: 12pt;"><span style="color: blue;">[viii]</span></span></span><!--[endif]--></span></span></a>.<span style="mso-spacerun: yes;"> </span>By improving the strength and endurance of
the entire kinetic chain, we can capture, conduct and channel all available
power generated by the athlete more effectively and efficiently, and by
improving this energy transfer, we thus improve performance.<o:p></o:p><br />
<br />
Reaction time, like all of the
other sports performance fundamentals discussed in this chapter, including pain
and pain prevention, efficiency, energy conservation, endurance, power, speed,
flexibility, balance and lower extremity control, has a direct correlation to pathokinematics.<span style="mso-spacerun: yes;"> </span>In addition, it’s important to note that each
of these performance considerations is affected by the others.<span style="mso-spacerun: yes;"> </span>This results in a powerful compounding effect
when any one or more is present.<span style="mso-spacerun: yes;"> </span>In
other words, when pathokinematics lead to a deficit in any one of these or any
other sports performance area, all other areas are affected as well.<o:p></o:p><br />
<br />
<div>
I hope you found this information valuable. As always, I appreciate all our followers and hope you find the information we provide useful in your practice with your athletes. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-62740277731268858692020-08-10T04:00:00.000-05:002020-08-10T04:00:05.451-05:00Poor Movement = Decreased Athletic Performance - Part IIILast week we began to discuss the impact that poor movement has on athletic performance. We concluded our discussion by looking at the impact that poor movement (pathokinematics) has on power generation. We continue that discussion looking at the impact on power.<br />
<br />
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In addition to increasing the
amount of force that can be produced by a muscle or muscle group, when we
improve length/tension relationships, we also increase the efficiency of
movement.<span style="mso-spacerun: yes;"> </span>With an increase in efficiency
in movement comes decreased time to produce the movement, as well as an
increase in the force that is able to be generated.<span style="mso-spacerun: yes;"> </span>Without any change at all to cardiovascular
output, efficiency and endurance, if we simply increase the ability of the
muscle to produce more force with less energy demand, in a shorter period of
time, not only does power in the pure sense increase, but overall endurance
improves as well. <br />
<br />
There are a lot of standardized
tests to assess muscular power in athletics but the two most commonly used are
the <i style="mso-bidi-font-style: normal;">Sargent Jump Test</i> and the <i style="mso-bidi-font-style: normal;">Stair Sprint Test</i>.<span style="mso-spacerun: yes;"> </span>The Sargent Jump Test was developed by
Harvard’s gymnastic coach, Dudley Sargent in the early 1900s and it is still
used today as an assessment of power output and maximal vertical height (it is
also known as the Vertical Jump Test).<span style="mso-spacerun: yes;"> </span>There
are some variations to the test.<span style="mso-spacerun: yes;"> </span>But in
the most basic form, the athlete stands next to a wall sideways, reaches up
with the arm closest to the wall fully extended, keeping the feet flat on the
floor, and the highest point at which the fingers tips reach up on the wall is
marked.<span style="mso-spacerun: yes;"> </span>Then the athlete performs a
maximal vertical jump marking the point at which the finger tips reach at the
peak of the jump.<span style="mso-spacerun: yes;"> </span>This is performed 3
times and the average of the three is calculated. <br />
<br />
The Stair Sprint Test has been
found to be highly reliable and valid for measuring explosive power and is
endorsed by the American College of Sports Medicine.<span style="mso-spacerun: yes;"> </span>In this test, the athlete is timed while
sprinting a given distance on ascending stairs.<span style="mso-spacerun: yes;">
</span>The force is the athlete’s weight and the time is how long it takes to
ascend the given distance.<span style="mso-spacerun: yes;"> </span>In this particular
test, the athlete improves, i.e., increases his or her power output, by
decreasing the time it takes to ascend the stairs.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://1.bp.blogspot.com/-v1XNCbtIdC8/VgHRkcCfqAI/AAAAAAAAC-c/rIerzxiTjj8/s1600/5.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="https://1.bp.blogspot.com/-v1XNCbtIdC8/VgHRkcCfqAI/AAAAAAAAC-c/rIerzxiTjj8/s1600/5.png" /></a></div>
It is easy to see the effect that
movement patterns would have on the Stair Sprint Test when we look at another example.<span style="mso-spacerun: yes;"> </span>Using the Step Up Test to assess
an athlete’s movement pattern, we can see that when this particular athlete
ascends (steps up) the right hip falls into an adducted position and the right
femur rotates internally.<span style="mso-spacerun: yes;"> </span>When this
occurs, two things happen:<span style="mso-spacerun: yes;"> </span>First, there
is an immediate loss of energy in the kinetic chain.<span style="mso-spacerun: yes;"> </span>Second, these changes in the stepping up
action alter the length/tension relationships in the lower body.<span style="mso-spacerun: yes;"> </span>Since this test is designed to demonstrate
efficiency of movement (or lack thereof) and a corresponding maximal use of
energy, each of these occurrences has a dramatic impact on power output.<span style="mso-spacerun: yes;"> </span>In the position in which we see this athlete,
the muscles cannot contract maximally and much of the explosive power she needs
to climb the stair is lost.<span style="mso-spacerun: yes;"> </span>Test results
show a longer length of time to complete the task or movement as a result.<span style="mso-spacerun: yes;"> </span><br />
<span style="mso-spacerun: yes;"></span><br />
<span style="mso-spacerun: yes;"></span>In sports, speed and power are
sometimes used interchangeably.<span style="mso-spacerun: yes;"> </span>Speed is
defined as distance traveled per unit of time.<span style="mso-spacerun: yes;">
</span>From a calculation standpoint, the only difference between a speed
calculation and a power calculation is that the power calculation takes the
athlete’s weight into account, or the weight of an object that is being moved
by the athlete.<span style="mso-spacerun: yes;"> </span>We can easily see then the
impact that abnormal movement or pathokinematics has on power.<span style="mso-spacerun: yes;"> </span>Therefore we can deduce that pathokinematics
in this, or any, athlete would similarly impact speed due to the loss of energy
in the kinetic chain and the inability of the muscles to contract maximally and
generate the greatest amount of explosive power in the shortest amount of time.<br />
<br />
<b style="mso-bidi-font-weight: normal;"><i style="mso-bidi-font-style: normal;"><span style="font-size: 13pt; line-height: 150%;">Flexibility</span></i></b><br />
<b style="mso-bidi-font-weight: normal;"><i style="mso-bidi-font-style: normal;"><span style="font-size: 13pt; line-height: 150%;"></span></i></b><br />
<b style="mso-bidi-font-weight: normal;"><i style="mso-bidi-font-style: normal;"><span style="font-size: 13pt; line-height: 150%;"></span></i></b>Flexibility is simply the ability
to move your muscles through their full range of motion.<span style="mso-spacerun: yes;"> </span>Factors that influence flexibility include:<o:p></o:p><br />
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structure)<o:p></o:p></div>
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Since the late 80’s or early 90’s there
has not been much research conducted on factors that influence flexibility or
how we can influence flexibility with training.<span style="mso-spacerun: yes;">
</span>Even so, in a clinical and athletic training setting we do see the
impact that pathokinematic movement patterns have on flexibility.<span style="mso-spacerun: yes;"> </span>If, for example, an athlete has a significant
lateral shift with a squat, then this movement pattern is going to be carried
over to every squatting motion he performs, outside of sports <i style="mso-bidi-font-style: normal;">and</i> during sports.<span style="mso-spacerun: yes;"> </span>This includes such activities of daily living
as sitting down on a chair, sitting on his bed, sitting and rising from the commode,
and getting in and out of a car.<span style="mso-spacerun: yes;"> </span>As a
result of imbalances in the body during this movement alone, overall flexibility
will be greatly affected, which of course translates to performance.<span style="mso-spacerun: yes;"> </span>We know that flexibility is critical for all
sports and many athletic trainers, coaches and other professionals who work in
the field of athletics believe that for the total time spent, flexibility
training may in fact be the most important and the most beneficial activity
across all sports.<o:p></o:p><br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://3.bp.blogspot.com/-PI5JO0475Os/VgHPueDtVlI/AAAAAAAAC-U/9rL5gd_gDg0/s1600/4.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://3.bp.blogspot.com/-PI5JO0475Os/VgHPueDtVlI/AAAAAAAAC-U/9rL5gd_gDg0/s1600/4.png" /></a></div>
Looking at one of our previous
examples, we can easily see how pathokinematic movement can increase tightness in
the body from the core down, reduce flexibility and contribute to an ever
increasing reduction in performance.<span style="mso-spacerun: yes;">
</span>This athlete, performing the squat test, is clearly shifting to the
right, as shown previously.<span style="mso-spacerun: yes;"> </span>He is also unable
to keep his back in alignment while bearing most of his weight on the right
side.<span style="mso-spacerun: yes;"> </span>This shift is lengthening the
hamstring and the quadriceps on the left and shortening them on the right, as
shown.<span style="mso-spacerun: yes;"> </span>This means that over time, he is
likely to become less flexible on the right side of his body than he is on the left.<span style="mso-spacerun: yes;"> </span>This further reinforces the shift, making it
worse over time in a vicious cycle.<span style="mso-spacerun: yes;"> </span>In addition,
due to this particular abnormal movement and the associated inflexibility and
abnormal force attenuation it causes in the lower kinetic chain, it is likely
that this athlete will also become much less flexible in the lumbar spine, and
eventually also in the thoracic and cervical spine.<span style="mso-spacerun: yes;"> </span>This can lead to imbalances in running gait,
excess (and inefficient, energy zapping) motion in the hips, pain in the L5/S1 region
of the lower back, pain traveling up the back into the mid and upper back and
neck, and compromised power output through the transmitting core.<span style="mso-spacerun: yes;"> </span><o:p></o:p><br />
<br />
A couple of last points related to
flexibility in this example that are worth noting is first that as a part of his
abnormal movement or pathokinematics, this athlete’s arms move forward as he
squats.<span style="mso-spacerun: yes;"> </span>He does this as a compensatory
strategy in order to prevent himself from falling over.<span style="mso-spacerun: yes;"> </span>So, not only is his inflexibility adding to
abnormal force attenuation, it also adds to a loss of balance as well.<span style="mso-spacerun: yes;"> </span>Again, this further increases the loss of
kinetic energy and ultimately decreases the efficiency of the entire system.<span style="mso-spacerun: yes;"> </span>Over time, this athlete is likely to become
more and more inflexible in the hip flexor group as well, which is critical for
football and other activities of daily living such as walking and running as
discussed above.<span style="mso-spacerun: yes;"> </span>These factors related
to flexibility can ultimately lead to other kinds of injuries and pain with
activity down the line.<span style="mso-spacerun: yes;"> </span>Of course we can
also easily see the performance impact limited mobility has on speed, power and
endurance on the football field. <o:p></o:p><br />
<br />
<div>
I hope you found this information valuable. Next week, we will continue our discussion on how movement can impact balance and control. As always, I appreciate all our followers and hope you find the information we provide useful in your practice with your athletes. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-27601863340379754332020-08-03T04:00:00.000-05:002020-08-03T04:00:08.978-05:00Poor Movement = Decreased Athletic Performance - Part IILast week we introduced the concept that poor movement (pathokinematics) negatively impacts athletic performance. We will continue that discussion looking at the impact that pathokinematics has on movement efficiency and energy.<br />
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<b style="mso-bidi-font-weight: normal;"><i style="mso-bidi-font-style: normal;"><span style="font-size: 13pt; line-height: 150%;">Efficiency, Energy Conservation and Endurance<o:p></o:p></span></i></b></div>
<br />
Another way that pathokinematics,
or movement that falls outside the norm can impact performance is by increasing
the amount of energy required to move the body in order to perform the function
or participate in the sport.<span style="mso-spacerun: yes;"> </span>If the
system is working properly, the limbs are controlled easily and efficiently and
the least amount of energy is used to move the body---to walk or run.<span style="mso-spacerun: yes;"> </span>However, simple tightness
or weakness in any part of the body can have a dramatic effect on the quality and
efficiency of movement and therefore the energy required to move a certain
distance within a certain amount of time. This is often seen when there is hip flexor tightness. During the running cycle, one of two things happens. They shorten their stride length to compensate for the tightness (makes running less efficient) or they rotate in their lumbar spine to make up for the lost motion (which can lead to low back pain).<o:p></o:p><br />
<br />
Of course if natural stride length
is shortened, as in the walking/running example, it also takes <i style="mso-bidi-font-style: normal;">more</i> steps to travel the same distance,
and consequently more energy.<span style="mso-spacerun: yes;"> </span>This lost energy
cannot then be used to extend the time of exercise or the speed of leg turnover
in running or walking.<span style="mso-spacerun: yes;"> </span>Sometimes, only
one hip flexor is tight, which can cause the stride length to be
asymmetrical.<span style="mso-spacerun: yes;"> </span>Such asymmetry also decreases
the efficiency of movement, and again more energy is required to travel the
same distance.<span style="mso-spacerun: yes;"> </span>So, it is not only more <i style="mso-bidi-font-style: normal;">difficult</i> to move when moving the body
in “unusual” ways, but it also <i style="mso-bidi-font-style: normal;">takes
longer</i> to move the body the same distance at any given speed.<span style="mso-spacerun: yes;"> </span>Both the increased difficulty and the
increased length of time it takes to move require additional energy
expenditure.<o:p></o:p><br />
<br />
Muscular endurance is defined as
the ability of a muscle or group of muscles to sustain repeated contractions
against resistance for a sustained period of time.<span style="mso-spacerun: yes;"> </span>Factors that influence endurance are:<o:p></o:p><br />
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</span></span></span><!--[endif]--><u>VO2 Max</u> – also known as “maximal oxygen
uptake,” is a measure of the maximum ability of the body to transport and use
oxygen during a specific period of time while engaged in intense exercise<o:p></o:p></div>
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</span></span></span><!--[endif]--><u>Lactate Threshold</u> – the exercise
intensity at which lactic acid starts to accumulate in the blood stream,
sometimes referred to as anaerobic threshold<span style="mso-spacerun: yes;">
</span><o:p></o:p></div>
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<!--[if !supportLists]--><span style="font-family: "symbol"; mso-bidi-font-family: Symbol; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">·<span style="font-size-adjust: none; font-stretch: normal; font: 7pt/normal "Times New Roman";">
</span></span></span><!--[endif]--><u>Exercise Economy</u> – the efficiency of the
technique (movement) the athlete has in his or her respective sport<o:p></o:p></div>
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Improvements in the first two
factors come with endurance, power and cardiovascular training.<span style="mso-spacerun: yes;"> </span>However, improvement in exercise economy
(which is impacted by the quality of movement) has a direct effect on efficiency
and consequently, energy conservation.<span style="mso-spacerun: yes;">
</span>In the walking/running example above a simple improvement in stride
length can result in improved efficiency of the movement and entire system,
leading to less energy expenditure, which results in improved athletic
endurance---in this case, the ability to run for a longer period of time before
having to stop. This is where a good running assessment and orthopedic assessment come into play. Getting someone who knows not only how to assess your running gait but also performing a detailed orthopedic exam to see where the limitations are that may be leading to your altered running gait. <o:p></o:p><br />
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<o:p> </o:p><b style="mso-bidi-font-weight: normal;"><i style="mso-bidi-font-style: normal;"><span style="font-size: 13pt; line-height: 150%;">Power and Speed<o:p></o:p></span></i></b></div>
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Power is defined as the rate of
work being done per unit of time.<span style="mso-spacerun: yes;"> </span>In
athletics, we calculate power equal to force over time (P = F/T) or the amount
of time that it takes to move<span style="color: #ff6600;"> </span>an object (a
weight, sled, bike or your body weight) a given distance.<span style="color: #ff6600;"><span style="mso-spacerun: yes;"> </span></span>Power can
be increased by either increasing the amount of force applied or by reducing
the amount of time it takes to move the object.<span style="mso-spacerun: yes;">
</span>So, improvement in power output can be influenced in two ways: increasing force or decreasing time.<o:p></o:p><br />
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Pathokinematics have just as big,
or perhaps an even bigger relationship to power output than pain, efficiency,
energy conservation and endurance.<span style="mso-spacerun: yes;"> </span>To
explain this, we must first talk about muscles and specifically, length and
tension relationships.<span style="mso-spacerun: yes;"> </span><br />
<br />
Muscles work in a
length and tension relationship.<span style="mso-spacerun: yes;"> </span>There
are optimal lengths at which muscles produce the maximum amount of force (see the graph above).<span style="mso-spacerun: yes;"> </span>If a muscle is in a position
that is shorter or longer than this optimal position, then the strength or
force that the muscle can produce is decreased.<span style="mso-spacerun: yes;"> </span>Take for example, the bicep curl
exercise.<span style="mso-spacerun: yes;"> </span>When someone performs a bicep
curl, there are stages during the motion that the exercise is more or less
difficult.<span style="mso-spacerun: yes;"> </span>Typically greater effort is
required at the beginning of the curl and at the end of the curl.<span style="mso-spacerun: yes;"> </span>Your bicep is strongest in the mid-range of
the motion, and so it is at this point that the least amount of energy is
required to move the weight or curl the arm upward.<span style="mso-spacerun: yes;"> </span>It is at this point that the tension the
muscle is able to produce is at its highest, relative to its length, and
therefore this is the optimal range of motion in which the bicep can produce the
most force.<b style="mso-bidi-font-weight: normal;"><span style="color: red;"><span style="mso-spacerun: yes;"> </span><o:p></o:p></span></b><br />
<br />
This same concept carries over to
all other body movement.<span style="mso-spacerun: yes;"> </span>Abnormal
movement patterns or pathokinematics move the body, including all its joints,
ligaments, tendons and muscles outside the “optimal” range.<span style="mso-spacerun: yes;"> </span>Length/tension relationships in the muscles
are drastically altered when we move abnormally and consequently, less force
can be produced by the muscles.<span style="mso-spacerun: yes;"> </span>To
illustrate this point, let’s take a look at the following example.<span style="mso-spacerun: yes;"> </span><o:p></o:p><br />
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The young man in this photo is a
football player who is having difficulty performing in his sport following an
injury.<span style="mso-spacerun: yes;"> </span>Performance tests such as the
vertical jump and 40 yard dash show a marked deterioration as compared to his
pre-injury results.<span style="mso-spacerun: yes;"> </span>He has been performing
squats as a part of his rehabilitation and training routine in order to
strengthen the injured limb and thereby improve his performance results.<span style="mso-spacerun: yes;"> </span>However, he is having difficulty
understanding why he continues to have such a large strength deficit on the
left side.<span style="mso-spacerun: yes;"> </span>When we view his squat, it is
apparent to even the casual observer that there are several issues that might
contribute to such a strength deficit on the left side and the resulting
decrease in performance on these performance tests as well as on the football
field.<span style="mso-spacerun: yes;"> </span><o:p></o:p><br />
<br />
When we consider length/tension
relationships, we know that if asymmetrical movement patterns like the one seen
in this photograph are not corrected, none of this athlete’s muscles from the
lower back down will ever be as strong as they could be, nor will they be able
to produce as much power as they would in a more symmetrical movement pattern.<span style="mso-spacerun: yes;"> </span>Part of his overall weakness is actually the
result of weakness in his right side as well as his left.<span style="mso-spacerun: yes;"> </span>The right, in this example, will always be
worked more than the left due to the marked weight shift to that side, which
obviously causes more of the load burden to be borne on that side.<span style="mso-spacerun: yes;"> </span>However, because there is also a dramatic
change in the length tension relationship on that side, the right side will
never be as strong as it would be either if the exercise was performed
correctly.<span style="mso-spacerun: yes;"> </span>Because of the high degree of
shift, his left quadriceps is put in a lengthened position while the right is
in a shortened position.<span style="mso-spacerun: yes;"> </span>His left
gluteus medius and maximus are put in lengthened positions and his right in
shortened positions.<span style="mso-spacerun: yes;"> </span>So, as stated
before, even though his right might be stronger, it will not be as strong <i style="mso-bidi-font-style: normal;">as it could be</i> until these
length/tension relationships are corrected and the athlete is able to access
and use the ranges in which his muscles can produce the maximum amount of force.<o:p></o:p><br />
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I hope you found this information valuable. Next week, we will continue our discussion on how movement can impact performance on certain tests. As always, I appreciate all our followers and hope you find the information we provide useful in your practice with your athletes. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-31542764449049632512020-07-27T04:00:00.000-05:002020-07-27T08:34:46.820-05:00Poor Movement = Decreased Athletic PerformanceThroughout the history of this blog I have submitted that pathokinematics negatively affects athletic performance.<span style="mso-spacerun: yes;"> </span>I have examined in depth how pathokinematics
contribute to injury in athletes, looked at the types of injuries we see in
athletes who demonstrate certain kinds of lower extremity pathokinematics and
reviewed several other factors, some seemingly unrelated to movement itself,
that affect athletes and which can contribute to pathokinematics.<span style="mso-spacerun: yes;"> </span>Here I will dive into more detail about how
pathokinematics affect several fundamentals that drive performance.<o:p></o:p><br />
<br />
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<o:p> </o:p><b style="mso-bidi-font-weight: normal;"><i style="mso-bidi-font-style: normal;"><span style="font-size: 13pt; line-height: 150%;">Pain During Activity and Sports<o:p></o:p></span></i></b></div>
<br />
The first and most obvious way in
which pathokinematics can affect performance is the fact that certain kinds of
pathokinematics lead to injury over time.<span style="mso-spacerun: yes;">
</span>Injury often brings pain, and even when an athlete is ready to return to
sports activities, he or she may have recurring pain with the activities that
directly or indirectly involve the body part that was injured.<span style="mso-spacerun: yes;"> </span>Additionally, he or she might have pain when
involved in activities where the <i style="mso-bidi-font-style: normal;">movement
patterns</i> are the same as when the injury occurred, since those movement
patterns were likely to have contributed to the injury in the first place.<o:p></o:p><br />
<br />
Let’s look at a specific
example.<span style="mso-spacerun: yes;"> </span>The human body is designed to
function in a given way as we have discussed previously.<span style="mso-spacerun: yes;"> </span>When we allow our bodies to operate outside
the “norm,” movement becomes less efficient, requires more energy, and can
result in tissue break down and injury over time.<span style="mso-spacerun: yes;"> </span>To illustrate this point, let’s look at the
human gait, which is the way we walk.<span style="mso-spacerun: yes;"> </span><o:p></o:p><br />
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Gait occurs in humans thanks to a spinal
reflex (located in the spinal cord in the “central pattern generator”) and
occurs in a predictable and repetitive pattern.<span style="mso-spacerun: yes;">
</span>First, the heel strikes or contacts the ground with the foot slightly
supinated and then the foot pronates to the point of mid-stance, at which time all of
the weight of the body is centered over the foot.<span style="mso-spacerun: yes;"> </span>Next is the “toe off” in which the foot
continues to pronate to allow push off on the 1<sup>st</sup> ray (big toe).<span style="mso-spacerun: yes;"> </span>The foot, ankle, knee, hip and spine all work
together in harmony during each of these defined phases in order to facilitate
forward (in this example) movement of the body while in a standing, upright
position.<span style="mso-spacerun: yes;"> </span>These structures have certain
ranges of motion specifically designed to allow our joints, ligaments, tendons
and muscles to absorb the force of these actions in ways that are not
detrimental to the structures themselves over time and with repetition.<span style="mso-spacerun: yes;"> </span><o:p></o:p><br />
<br />
<a href="http://2.bp.blogspot.com/-tKGbkY7meKI/VgHNmMtRpoI/AAAAAAAAC98/o-4kxGKwwUM/s1600/2.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="320" src="https://2.bp.blogspot.com/-tKGbkY7meKI/VgHNmMtRpoI/AAAAAAAAC98/o-4kxGKwwUM/s320/2.jpg" width="265" /></a>An athlete (or walker as in the
example above) with excessive tightness of the hip flexors (iliospoas) <span style="mso-spacerun: yes;">
</span>This has two effects.<span style="mso-spacerun: yes;"> First there is a </span>decrease
in the extension of the hip which causes a decrease in stride length.<span style="mso-spacerun: yes;"> </span>A decrease in stride length which means a shorter stride, less distance covered per stride and less force is produced and force absorbed.<span style="mso-spacerun: yes;"> </span>Because the stride is
shorter and less distance is covered for every foot strike, this means performance is impacted. Since there is less
absorption of ground reaction forces in the lower limb, this means greater risk for injury.<span style="mso-spacerun: yes;"> </span>Less force absorbed in the lower limb means
that force (which does not change) is absorbed further up the chain or in the sacral
and lumbar spine.<span style="mso-spacerun: yes;"> </span>This pattern of decreased hip extension is often associated with a compensatory
increase in spinal extension and rotation in the lumbar spine.<span style="mso-spacerun: yes;"> </span>When this occurs, we can observe several motions
at the hip.<span style="mso-spacerun: yes;"> </span>Excessive rotation
(transverse plane motion) and excessive anterior and posterior tilt (sagittal
plane motion) can be observed at toe off on the side where there is a decrease
in stride length.<span style="mso-spacerun: yes;"> </span>The result of this
type of motion in the transverse plane is excessive shear wear on the articular
surfaces in the lumbar spine, especially in the areas of the L5/S1
vertebrae.<span style="mso-spacerun: yes;"> </span>It is well documented that articular cartilage is weakest when subjected to shearing forces and
therefore this can be a source of lower back pain for runners and walkers.<span style="mso-spacerun: yes;"> This lack of hip extension can also lead to weakness of the gluteus maximus on the involved side. As a powerful hip extensor, if the hip does not go into full extension, then this muscle can not achieve its maximal strength potential.</span><br />
<br />
Weakness in the gluteus medius muscle
of the hip can further contribute to lower back pain in this population because
weakness in this muscle can lead to excessive hip motion in the coronal plane (side
to side and up and down).<span style="mso-spacerun: yes;"> </span>So in the example above we can see a direct link between pathokinematic movement (excessive hip
motion in both the transverse, sagittal and coronal planes) in runners and
walkers that can lead to pain (lower back in this case), which exponentially
increases the likelihood of decreased performance.<span style="mso-spacerun: yes;"> </span><span style="mso-spacerun: yes;"> </span>Obviously,
the greater degree of pathokinematics we see in an athlete, the greater the
likelihood of more significant amounts, degrees and durations of pain,
particularly during times when speed and/or endurance requirements are high.<o:p></o:p><br />
<br />
Estimates are that 80% of the
population suffers from one form or another of low back pain<span style="font-family: "times new roman" , serif;"> </span>and consequently this type of problem affects many athletes and decreases their
ability to perform.<span style="mso-spacerun: yes;"> </span>The most common area
for low back pain is in the region of the intervertebral disc at L5/S1,
which is often caused by wear directly attributable to pathokinematic movement
in the lumbar spine and hip seen in runners and walkers.<span style="mso-spacerun: yes;"> </span>So, whether it is the ability of an athlete
to sustain speeds and run long distances without pain or the ability of an
athlete to get into and stay in the aero position on a bicycle, low back pain
will dramatically impact performance.<span style="mso-spacerun: yes;"> </span>Of
course, it is obvious that low back pain would also be a limiter in lifting
sports, bending sports or sports that require full body speed and agility, such
as basketball and volleyball.<span style="mso-spacerun: yes;"> </span>A
particularly notable sport in which athletes often complain of lower back pain
is golf.<span style="mso-spacerun: yes;"> </span>Often when looking at a golf
swing, we see tightness in the hip flexor muscles that cause lower back issues
over time.<span style="mso-spacerun: yes;"> </span><br />
<span style="mso-spacerun: yes;"><br /></span>
<span style="mso-spacerun: yes;">For a good dynamic hip flexor stretch, try this stretch to help prevent lack of hip extension. </span><br />
<span style="mso-spacerun: yes;"><br /></span>
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I hope you found this a valuable series. As always, I appreciate all our followers and hope you find the information we provide useful in your practice with your athletes. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-78689834556545172812020-07-20T04:00:00.000-05:002020-07-21T15:50:34.146-05:00Does Sport Specialization Increase Risk For Injury - Part II<a href="https://2.bp.blogspot.com/-wn3rJP_kHeQ/Wk6hjzCw8DI/AAAAAAAAE0k/zD3zh63tqVw7nerhL9kkzvuahVxlw7TNQCLcBGAs/s1600/TaylorHS1.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="1200" data-original-width="1600" height="240" src="https://2.bp.blogspot.com/-wn3rJP_kHeQ/Wk6hjzCw8DI/AAAAAAAAE0k/zD3zh63tqVw7nerhL9kkzvuahVxlw7TNQCLcBGAs/s320/TaylorHS1.jpg" width="320" /></a>Last week we looked at a study by McGuine et al Am J Sport Med 2017. In this study, the authors showed that if an athlete specializes in a sport that they are more likely to suffer a lower extremity injury than athletes who do not specialize. As a parent or coach, we may push our young athlete to specialize in sport thinking that this is going to help them perform better in the sport and increase their likelihood of succeeding in that sport. What that means is different for everyone. It may mean that they just perform better or that they make the varsity team or that they will improve the likelihood that they will get a college scholarship. At the same time, many of us do not realize we are actually putting them at great risk for injury. According to Rugg et al Am J Sport Med 2014, if an athlete suffers a knee or ACL injury prior to a division I career, they are 8 times more likely to suffer a knee injury or ACL injury during their Division I career. This pure fact is preventing some university's from recruiting athletes with a previous knee history. So, instead of helping our athlete, we may actually be jeopardizing their chances for a athletic scholarship.<br />
<br />
What if I told you that athletes that specialize actually do not play better than athletes that play multiple sports. Sound counter intuitive doesn't it?<br />
<br />
<b>Reference Article:</b><br />
<span style="font-family: "times new roman" , serif; font-size: 10pt;">Rugg
C, Kadoor A, Feeley B, Pandya N. </span><i style="font-family: "Times New Roman", serif; font-size: 10pt;">The effects of playing multiple high
school sports on national basketball association players’ propensity for
injury and athletic performance. </i><span style="font-family: "times new roman" , serif; font-size: 10pt;">Am J Sport Med.</span><span style="font-family: "times new roman" , serif; font-size: 10pt;"> </span><span style="font-family: "times new roman" , serif; font-size: 10pt;">Published online before print. 2018.</span><br />
<ol start="1" style="margin-top: 0in;" type="1">
</ol>
<a href="https://1.bp.blogspot.com/-oLzO2MwOhJE/Wk6oLa8AATI/AAAAAAAAE04/hceBCZMJh0gsuk9MJC0wyvACZz1QQlplACLcBGAs/s1600/Bulls.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="261" data-original-width="379" height="220" src="https://1.bp.blogspot.com/-oLzO2MwOhJE/Wk6oLa8AATI/AAAAAAAAE04/hceBCZMJh0gsuk9MJC0wyvACZz1QQlplACLcBGAs/s320/Bulls.png" width="320" /></a><b>Purpose:</b><br />
The purpose of this study was to determine if National Basketball Association (NBA) players who play multiple sports as adolescence are less likely to get injured. In addition, do these multisport athletes have higher participation rates in terms of games played and career length over their single sport athlete counterparts.<br />
<br />
<b>Methods:</b><br />
First round draft picks from 2008-2015 in the NBA were included in this study. From publically available records from the internet, the following data for each athlete was obtained:<br />
<br />
<ul>
<li>Participation in high school sports</li>
<li>Major injuries sustained in the NBA</li>
<li>Percentage of games played in the NBA</li>
<li>Whether the athlete was sill active in the NBA</li>
</ul>
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Athletes who participated in sports in addition to basketball during high school were defined as mulitsport athletes and were compared with athletes who participated only in basketball in high school. Breakdown of the multisport and single sport athlete data is represented below.<br />
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<b>Results:</b><br />
237 NBA athletes were included in this study of which 36 (15%) were multisport athletes and 201 (85%) were single sport athletes in high school. The multisport cohort played in statistically significantly greater percentage of total games (78.4% vs. 72.8%) with a p value of .001 (remember p <.05 is statically significant). Multisport athletes were less likely to sustain a major injury during their career (25% vs. 43%) with a p value of .03. A greater percentage of multisport athletes were active in the league at the time of the data collection, indicating increased longevity in the NBA (94% vs. 81%) with a p value of .03.<br />
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What does this mean? Simply stated that this appears to show that multisport athletes played more games per season, had longer NBA careers and were injured less. Although this is a good sample size and over 7 year period, the number of multisport athletes is still relatively low. Was this 15% purely representative of those freakish athletes that were just super talented and could play any sport no matter what? That is hard to say. Or is it that as a result of them playing multiple sports they are freakish athletes? More likely, it is a combination of the two.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDtlZ7cqLrYhdvbYbp_NzyVebaLUEmJN7XeGXbefbh0WQRJmxFLQOvRN4hj4tUea4t_ovDbDjnf464CprfUt5spUHOGNYW3WW4WPPg0DFOWp3CZrz-SVMXWZ16rVvWn5V2t1sqb1yFpUFm/s1600/troy+volleyball.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="464" data-original-width="500" height="296" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDtlZ7cqLrYhdvbYbp_NzyVebaLUEmJN7XeGXbefbh0WQRJmxFLQOvRN4hj4tUea4t_ovDbDjnf464CprfUt5spUHOGNYW3WW4WPPg0DFOWp3CZrz-SVMXWZ16rVvWn5V2t1sqb1yFpUFm/s320/troy+volleyball.png" width="320" /></a>One thing we do know for sure is that multisport athletes due get injured less than single sport athletes. We also know that by playing multiple sports, the training effect is much greater. Those athletes who play multiple sports have a better kinesthetic awareness, better neuromuscular control, better agility and overall better athleticism. Just like cross training, better prepares you physically rather than just doing one form of training, so does playing multiple sports. That is why you see so many athletes today adding cross training to their routines. In the off season, they are not playing their main sport, but rather biking, lifting weights, swimming. We know this adds to recovery and helps to strength areas of weakness that may not be addressed during normal seasonal performnce of our sport. Anecdotally, we have seen this in the clinic and now we are starting to see this represented in the research. Just because we do not have a plethora of studies showing us this, it does make sense both from a physiological, neurological and psychological perspective.<br />
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So, the next time you have an athlete or parent thinking about playing a single sport, keep this in mind. Single sport athletes get injured more and may not perform as good as multisport athletes.<br />
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Help us ring in 2020 sports season right by spreading the word and helping to prevent athletic injuries. #ViPerformAMI #ACLPlayItSafe #ResearchThatWorks</div>
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<span style="font-size: 9pt; line-height: 13.8px;"><span style="font-family: inherit;"><span style="font-family: "calibri";">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment.<span style="mso-spacerun: yes;"> </span>He is the developer of a 3D athletic biomechanical analysis, ACL Play It Safe and Run Safe programs, is an author of a college textbook on this subject and has personally performed >5000 athletic movement assessments.<span style="mso-spacerun: yes;"> </span>He is president of Vitality (a Divsion of Rebound), involved in several national research projects in the area of movement assessment and serves as a consultant to teams and organizations in the area of athletic movement assessment and RTSport testing.<span style="mso-spacerun: yes;"> He is also a competitive purple belt in Brazilian Jiu Jitsu and team physical therapist for several competitive teams. </span></span></span></span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-32357679993404609732020-07-13T04:00:00.000-05:002020-07-13T04:00:05.822-05:00Does Sport Specialization Increase Risk for Injury?Sports has a lot of positive impacts on kids. Studies show that kids that participate in sports have an improved quality of life, are less likely to smoke, to be truant and more likely to get better grades and stay in school. Under the right coach and with the right team, this can also provide a lot of positive influences to kids in a time and age where they really need this. With over 7.8 million kids participating in interscholastic sports each year, sports injuries are going to happen. Our goal is always to minimize those that we can.<br />
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Obviously with the focus of our discussions through the history of this blog, we tend to focus a lot on lower extremity injuries and specifically knee injuries. Why is that? Ingram et al AM J Sport Med 2008 showed that the most commonly reported athletic injury between the ages of 15 and 25 is an injury to the knee. Further, Fernandez et al Acad Emerg Med 2007 showed that lower extremity injuries accont for 60-75% of all injuries in high school athlete populations. Rechel et al J Trauma 2011 showed that 50-60% of all athletic injuries requiring surgery where injuries to the knee. If you include the low back injuries in these numbers, then you encompass >75% of athletic injuries that occur and hence why our focus primarily on the lower kinetic chain.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXnIBLEaK2t1MGVKfmXiDit1esebu4Cv_1skAZxDFuBOW6AGgbJj40h2WvwPmWLAj8cm21kCBfcngiVG7op4xCNMskkwGTT-SNZjYxQNjSRQUZ4EBinGi0i6CT5sVNmjwzyirN4VbekkMi/s1600/Andrews+and+Wilk.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="480" data-original-width="640" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXnIBLEaK2t1MGVKfmXiDit1esebu4Cv_1skAZxDFuBOW6AGgbJj40h2WvwPmWLAj8cm21kCBfcngiVG7op4xCNMskkwGTT-SNZjYxQNjSRQUZ4EBinGi0i6CT5sVNmjwzyirN4VbekkMi/s320/Andrews+and+Wilk.png" width="320" /></a>Over the course of the last several years, we have discussed various strategies on how we can help reduce these injury rates, especially in our younger athletes. I have been blessed throughout my career to work along side some of the industries best in the field of sports medicine. As such, it has led to some amazing learning opportunities. Two of the pioneers in this area, from an educational perspective, innovation perspective and research perspective, is Kevin Wilk, DPT, FAPTA (with Champion Sports Medicine - Alabama) and Dr. James Andrews (Andrews Institute - Florida). Both of these sports medicine legends have and continue to be a huge influence on who I am professionally and what we do. Dr. Andrews is the founding member of the American Orthopaedic Society for Sports Medicine's STOP Campaign. STOP (link on the right hand of this blog) stands for Sports Trauma and Overuse Prevention and is a national campaign to help educate and prevent youth sports injuries.<br />
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According to Dr. James Andrews, the nation's leading expert in sports related injuries, one of the leading causes of preventable sports related injuries is early sports specialization. Why is that? It use to be when I played sports, it was a seasonal thing. You played your sport during the spring or fall and then when the season was over you either played another sport or you did something else. Today however, sports are all year round. Where a soccer player may start their season with the school, then once that is over, the athlete then move on to play with their club or travel team resulting in the athlete sometimes playing the same sport all year long. Parents unknowingly think this will help them become a better athlete. Give them a competitive edge. Yet the reality is, they are also increasing their risk for injury. Is this true? What does the research tell us?<br />
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Reference Article<br />
<span style="font-family: "times new roman" , serif; font-size: 10pt;">McGuine
T, Post E, Hetzel S, Brooks A, Trigsted S, Bell D. </span><i style="font-family: "Times New Roman", serif; font-size: 10pt;">A
prospective study on the effect of sport specialization on lower extremity
injury rates in high school athletes.
</i><span style="font-family: "times new roman" , serif; font-size: 10pt;">Am J Sports Med. 45:2706-2712. 2017.</span><br />
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In this prospective study, the authors set out to determine if sport specialization was associated with increase risk for lower extremity injuries in high school athletes.<br />
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Methods: Participants in this study where interscholastic athletes in grades 9 through 12th. Athletes were recruited from 29 Wisconsin high schools during the 2015-2016 school year. Participants completed a questionnaire identifying their sport and history of lower extremity injuries. Sports specialization of low, moderate or high was determined using a previously published 3-point sale. Athletic trainers reported all lower extremity injuries that occurred during the school year. Statistical analysis was performed on the data.<br />
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Results: A total of 1544 athletes participated in the study, 780 females and 764 males. A break down of the subject by sport is in the table below. Mean age was 16.1 y/o +/- 1.1 years. These athletes completed 2843 athletic seasons and participated in 167,349 athletic exposures.<br />
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235 participants (15.2%) sustained a total of 276 lower extremity injuries that caused them to miss a median of 7.0 days. Injuries occurred most often to the ankle (34.4%), knee (25%) and upper leg (12.7%). Injuries included ligament sprains (40.9%), muscle/tendon strains (25.4%) and tendinitis/tenosynovitis (19.6%). Statistical significance is determined by a P value <.05. The incidence for lower extremity injury for those that had moderate sport specialization was p = .03 and for those that had high sport specialization was p = .02.<br />
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What this indicates is that the more the athlete specializes in a single sport versus multiple sports, the higher the likelihood for them to suffer a lower extremity injury. Next week we will look at one additional study and why sport specialization may be leading to an increase in risk.<br />
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Help us ring in 2018 right by spreading the word and helping to prevent athletic injuries. #ViPerformAMI #ACLPlayItSafe #ResearchThatWorks</div>
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<span style="font-size: 9pt; line-height: 13.8px;"><span style="font-family: inherit;"><span style="font-family: "calibri";">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment.<span style="mso-spacerun: yes;"> </span>He is the developer of a 3D athletic biomechanical analysis, ACL Play It Safe and Run Safe programs, is an author of a college textbook on this subject and has personally performed >5000 athletic movement assessments.<span style="mso-spacerun: yes;"> </span>He is president of Vitality (a Divsion of Rebound), involved in several national research projects in the area of movement assessment and serves as a consultant to teams and organizations in the area of athletic movement assessment and RTSport testing.<span style="mso-spacerun: yes;"> He is also a competitive purple belt in Brazilian Jiu Jitsu and team physical therapist for several competitive teams. </span></span></span></span></div>
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<br />Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-46972502909849588992020-07-06T04:00:00.000-05:002020-07-06T04:00:05.288-05:00Neuroplasticity and ACLR Rehab - Part V<div>
<a href="https://1.bp.blogspot.com/-P71fXfSDqOI/XvJHVUw-SaI/AAAAAAAAHEk/N6HlwQC5MPsyYWQ6tNa4C8bdx7CskRt-wCPcBGAYYCw/s1600/Capture.PNG" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="451" data-original-width="818" height="176" src="https://1.bp.blogspot.com/-P71fXfSDqOI/XvJHVUw-SaI/AAAAAAAAHEk/N6HlwQC5MPsyYWQ6tNa4C8bdx7CskRt-wCPcBGAYYCw/s320/Capture.PNG" width="320" /></a>Last week we talked about some specific training strategies we could used based on the most current research. Strategies that will work on external focus (result of the movement) versus internal focus (focus on the movement itself). We gave two specific examples of exercises that will work on external focus and which will create neuroplasticity in the higher centers and reduce risk of reinjury with return to sport. <br />
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Working with multiple centers around the US and attempting to create consistency in the way that this training is applied can sometimes be difficult which results in a significant variance in outcomes from center to center, state to state and nationally. As such, we have recently identified a technology that allows us to create more consistency. By using this technology, we can implement this type of training, standardize how it is implemented and through the use of specific protocols, create much more consistency in the results we get regardless of the clinician. <br />
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<a href="https://www.thequickboard.com/">Quick Board, LLC</a> is a company that developed a sensor board that will Bluetooth to an Ipad. The Ipad has the Quick Board app that communicates to the sensor board. This large sensor board has five circles on it, spaced apart all of which contain sensors underneath. The app has a diagram that is positioned and looks identical to the sensor board. For each test, the athlete watches a standardized video instruction which shows the athlete what the test is and exactly how it is performed. <br />
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After watching the video, the athlete is instructed to keep their eyes on the Ipad. The Ipad will highlight one of the targeted circles that the athlete is to touch. Without looking, the athlete is to reach and touch the corresponding circle. As soon as the athlete touches the circle, the sensor is activated. This will record not only the time it takes to touch the circle (from time appeared on the app to actual touch) but also the accuracy (did they touch the right circle). From this, there are a lot of things that can be measured including:<br />
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<li>Average reaction time for each sensor location for:</li>
<ul>
<li>Single color exercises </li>
<li>Discrimination tasks - only touch blue versus red (or another color)</li>
<li>Go or no go tasks - measuring error rate and reaction time with</li>
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<li>Average contact time for each sensor location - how long the foot is on the sensor </li>
<li>Accuracy - measure of correct touches versus errors</li>
<li>Vertical jump (based on fight time and body weight)</li>
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<li>Jump height </li>
<li>Reactive strength </li>
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Limb symmetry index (LSI) can also be measured in all of these measures. This way you can see the variance in the operative and non-operative time as they progress through the rehab process. This was developed by a strength and conditioning coach and found a lot of success in using this in performance training. Athletes that would improve their performance on these measures were also improving their sprint speed and power. Based on these results, there has been a large adoption of this technology in professional sports from basketball to football. </div>
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However, this also has huge applications in lower kinetic chain rehabilitation. I use this with all my lower kinetic chain rehab but specifically with my ACLs. In addition to seeing the changes that occur in sprint speed and vertical jump, we are also seeing huge improvements in:<br />
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<li>Performance on TSK-11 - improved scores indicating decreased fear of reinjury</li>
<li>Improve performance on the ViPerform AMI. Specific areas of improvement:</li>
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<li>Improved control of frontal plane motion (degree of motion and speed) on:</li>
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<li>Single leg squat</li>
<li>Single leg hop</li>
<li>Single leg hop plant</li>
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<li>Improved LSI across all measures </li>
<li>Improved scores on full return to sport testing at 9 and 12 months </li>
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I have no financial tie to this product nor incentive to say this other than it works. If you are looking for something to address neuroplasticity training and incorporate with your ACLR rehab, then this is an ideal tool. We are currently conducting several studies looking at the impact of implementing this training device with our ACLR athletes. Based on the things we know that matter and that we measure, how is this training impacting those results? <br />
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<a href="https://1.bp.blogspot.com/-KHR55Np3BuU/XcV-sdZhiaI/AAAAAAAAG0Q/UBXkxGXq8LUn1K2cBLssEMYaX8ZSNxYXwCPcBGAYYCw/s1600/SLSquat.PNG" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="426" data-original-width="846" height="201" src="https://1.bp.blogspot.com/-KHR55Np3BuU/XcV-sdZhiaI/AAAAAAAAG0Q/UBXkxGXq8LUn1K2cBLssEMYaX8ZSNxYXwCPcBGAYYCw/s400/SLSquat.PNG" width="400" /></a>By using this technology, we are seeing a direct impact on the biomechanics that we measure with our wearable sensor technology (ViPerform AMI) and on the TSK-11 numbers we see in our athletes. We know when these numbers improve on our assessment and the TSK-11 that risk of reinjury with return to sport goes down. We know by improving LSI that risk goes down and athletic performance goes up. We know improvement on our return to sport assessment (ViPerform AMI and 3D Sprint Assessment) equates to decreased risk of reinjury and improved athletic performance. We also know that we can create more consistency in the way that this type of training is implemented from site to site regardless of the clinician (as long as they follow the simple instructions...). <br />
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Whether you choose to implement this device or not, addressing neuroplasticity is and should be a critical part of your rehab, especially with ACLR. We now know there are changes that occur in the higher centers that DO NOT self correct and we MUST do targeted interventions to address. If we don't do that, we are returning our athlete to the field and competition with a heightened level of risk. <br />
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I hope you found this a valuable series. As always, I appreciate all our followers and hope you find the information we provide useful in your practice with your athletes. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-46099667388466929052020-06-29T04:00:00.000-05:002020-06-29T04:00:01.982-05:00Neuroplasticity and ACLR Rehabilitation - Part IV<div>
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Last week, we started our discussion talking about explicit strategies (internal focus on the movement itself) and implicit strategies (external focus on the movement effect). These are types of training or verbal instructions we give to patients during performance of rehabilitation exercises. What the studies show is that implicit strategies have a better carry over to sport and create greater neuroplastic changes in the higher centers (specifically the motor cortex, somatosensory area and cerebellum). These types of changes reduces risk for reinjury with return to play as these are the patterns the athlete resorts to during functional activity. <br />
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In our last discussion, we talked about the difference between these two strategies and when using one form of training or instruction may be indicated versus another form. We also discussed how your verbal instructions can significantly alter movement and I gave the specific example of how this can alter the movement when performing a functional movement assessment. <br />
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When looking at how this might impact our training, we can look at the study by <a href="https://pubmed.ncbi.nlm.nih.gov/25042094/">Benjaminse et al Phys Ther Sport 2015</a>. In this systematic review, the authors looked a different forms of training. For this example, we will use the ACLR specifically and doing single limb training. Based on the data we have collected on over 18,000 athletes with the ViPerform AMI, we know control of both the magnitude of frontal plane motion and speed of valgus during single limb performance is critical. If athletes can control this during training and functional activities (sports) then we know we have impact or mitigate some of the risk with them returning to play. Based on the neuroplasticity research, there are some innovative ways do accomplish this.<br />
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Using a single leg balance on an unstable surface as an example. In this exercise, I want the athlete to control the magnitude of frontal plane motion and speed of that motion. In exercise A, I am placing a mirror in front of the athlete and asking them to control their knee, Don't let the knee go in toward midline. In this instance, I am using an internal focus, focusing on the movement. In exercise B, I give the athlete a PVC pipe and ask them to keep the bar horizontal. In this example, I am using external focus, focusing on the result of the movement. <br />
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What we see here is the result. In exercise A, although the athlete is successful at controlling her frontal plane motion, she also has a lot of hip motion occurring. At the same time, what we find (or according to the research) is that this does not carry over as much to her actual movement in sport. In exercise B, we see that not only is she maintaining better alignment at the knee but her hip position is also much better. Considering this may have better carry over to sport, then this might be a strategy that I employ. At the same time, I can add additional stresses to the system to make her maintain that positioning and posturing while specifically targeting her areas of weakness. If you go back to our blog where we talked about <a href="https://aclprevention.blogspot.com/2020/05/efficient-movement-drives-performance_18.html">rapid neuromuscular response (RNMR)</a> training, you can see some specific exercises targeting that. <br />
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In the next example, using a single leg squat. In exercise A, I am placing a mirror in front of the patient and asking them to perform a single leg squat and asking them to keep their knee over their toe and not allow their knee to go in towards midline. This is again a form of internal focus where I am focusing on the movement. In exercise B, I am placing a cone in front of the athlete and asking them to reach toward the cone with their knee. This is a form or external focus or a focus on the result of the movement. <br />
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Again, what you see in exercise A is that the athlete, although better, still has some increase in frontal plane motion at the knee and has a lot more motion at the hips. In exercise B, we not only have better control of frontal plane motion but also much better positioning and posturing of the entire kinetic chain and core. <br />
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Again, these are two examples but you can see how internal focus versus external focus can be applied with our training. That said, I want to be clear. Although the research does say that external focus does have a better carry over to sport and functional activity, as with all training, I believe there the need to use both forms of training. Similar to OKC and CKC exercise. Research supports use of CKC exercise but I strongly believe that both OKC and CKC exercise have a place in rehabilitation and performance training. To focus on just one, I think you miss part of the picture.<br />
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I hope you found this valuable and next week, we will continue this discussion. Specifically, next week I will talk about a device we are using in our ACLR rehab that addresses all this as well as some of the results we are seeing with. As always, I appreciate all our followers and hope you find this useful in your practice. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I also just launched a new website, <a href="http://www.drtrentnessler.com/">www.drtrentnessler.com</a>. My vision is to create a movement revolution in the world of ACL rehab. Check it out, hear more about my story and where we are headed. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical, is Vice Chairman of Medical Services for USA Obstacle Racing and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-38454906945956426542020-06-22T04:00:00.000-05:002020-06-22T04:00:01.414-05:00Neuroplasticity and ACLR Rehabilitation: Part III<div>
<a href="https://1.bp.blogspot.com/-M7f5r5GJWJQ/Uv6MWjzjUOI/AAAAAAAAFxM/udisPZQ2SOUJ5oz1w1hxR8VU-mSV_a4ogCPcBGAYYCw/s1600/ouch.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="223" data-original-width="376" height="189" src="https://1.bp.blogspot.com/-M7f5r5GJWJQ/Uv6MWjzjUOI/AAAAAAAAFxM/udisPZQ2SOUJ5oz1w1hxR8VU-mSV_a4ogCPcBGAYYCw/s320/ouch.png" width="320" /></a>Last week, we discussed in detail the Grooms study which showed that there are in fact some changes that occur in the higher centers in the brain after an ACL injury. As much as we think our typical rehabilitation will address this, the reality is and the studies show, these deficits remain unless they are specifically addressed. These remaining deficits may be one additional factor that leads to increased reinjury rates post ACLR. <br />
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When talking about neuroplasticity and how do we effectively train to improve these deficits that occur, you will hear some talk about the constrained-action hypothesis. This hypothesis suggests that an internal attentional focus could be negative on an athlete, causing them to interfere with their body's natural movements. In other words, there are two types of focus, internal focus and external focus. <br />
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<li>Internal focus is where there is a focus on body movements. Typical instructions we give that drive this type of focus is - don't let your knees go in toward midline, don't let your knee go over your toes, etc.</li>
<li>External focus is where there is a focus on the movement effect. Typical instructions we give that drive this type of training is - when you jump, try to touch the hanging ball, when you jump, try to jump past the line.</li>
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<a href="https://pubmed.ncbi.nlm.nih.gov/21079917/">Benjaminse et al Knee Surg Sports Traumatol Artho 2011</a> showed that explicit strategies require an internal focus on the movement itself and is less likely to transfer to the sport itself. However, Implicit strategies require external focus on the movement effect and are more likely to transfer over to sport. At this point, you may be saying to yourself, well that is great but what the heck does that mean? <a href="https://pubmed.ncbi.nlm.nih.gov/25042094/">Benjaminse et al Phys Ther Sport 2015</a> performed a systematic review demonstrating the effect of internal focus and external focus instructions on jump landing technique. What the authors found was that external focused instruction resulted in better motor performance and movement technique than internal focused instruction. </div>
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Based on all this, there are some major takeaways from what we have learned so far. </div>
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<li>Be mindful of the instructions we use when we are instructing athletes</li>
<li>Verbal instructions have a direct effect on motor performance </li>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhyoqGSw1K7_dl7DgHhJoZulRhbnh7akkbMKlCUhFbm1bzd5v1RQDhA2dxQG4AFrZ_GHGWhCO1e4dFngVwc1NtbMajM4ikyCx0WR7j3y3iYdXj5VELVAyhdlYH-srTYEEOFBCfK9xBXzJxo/s1600/2822_26_28-side-side-box-jumps.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="336" data-original-width="431" height="249" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhyoqGSw1K7_dl7DgHhJoZulRhbnh7akkbMKlCUhFbm1bzd5v1RQDhA2dxQG4AFrZ_GHGWhCO1e4dFngVwc1NtbMajM4ikyCx0WR7j3y3iYdXj5VELVAyhdlYH-srTYEEOFBCfK9xBXzJxo/s320/2822_26_28-side-side-box-jumps.jpg" width="320" /></a>I am going to digress here for a moment but we will return to talk about some specific training applications to training. We have noticed something similar when doing our 3D movement analysis. When providing instruction to the athlete,for example, on the full squat test, we find the more verbal instruction we give to the athlete the less natural their actual movement is. </div>
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<li> Example 1 - I ask the athlete to perform a squatting motion to 90 degrees with the feet shoulder width apart while keeping their chest up and not allowing their heels to come off the floor.</li>
<li>Example 2 - I demonstrate a squat and then ask them to repeat the motion.</li>
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In example 1, I will get the motion that I described. This may not be the natural motion the athlete uses when doing squats but rather their interpretation of what I have described. In example 2, I will get a squatting motion that is more natural to what the athlete typically does. In this case, where I am attempting to get a 3D baseline movement assessment, I am want to get their natural motion. Therefore, I use very little instruction and more demonstration (example 2).</div>
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That being said, if you go purely by the research, this would suggest that we don't ever use some form of internal focus training. Personally, I think there is a place for that. If you have someone that has a profound dynamic valgus that they demonstrate during all high level functional activity then I am going to work on that. I will do some targeted training where I will have them control the frontal plane motion of their knee. I think this is important to build some foundational strength so that when we move to more aggressive sport specific movements that they are able to control that motion. When I get to that level of training, they then have the base strength and endurance to maintain frontal plane control at which point I will move to some more of an external focus. </div>
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Next week, we will discuss this topic a little more in depth and get into some specific training ideas based on what we are learning. As always, I appreciate our views and hope you find this useful. If you do, please follow me on instragram @bjjpt_acl_guy and Twitter @acl_prevention. I am constantly posting the latest research in injury prevention and sports medicine. Don't miss out and please share with your colleagues, athletes and training partners and again follow us on instagrm @ bjjpt_acl_guy and twitter @acl_prevention. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical, is Vice Chairman of Medical Services for USA Obstacle Racing and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-75849373798423251692020-06-15T04:00:00.001-05:002020-06-15T04:00:02.696-05:00Neuroplasticity and ACLR Rehabilitation - Part II<div>
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Last week, we started our discussion about neuroplasticity and how there may be changes in the higher centers of the brain that occur following an injury. One of the studies we mentioned was the study by <a href="https://www.jospt.org/doi/full/10.2519/jospt.2017.7003">Grooms et al J Orthop Sport Phys Ther 2017</a>. The purpose of this study was to compare differences in brain activity during knee flexion and extension exercises in those that had an ACLR compared to matched controls.<br />
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<b>Methods:</b><br />
15 athletes who were average of 38 months post ACLR where compared to 15 matched controls. Healthy matched controls were matched on age, sex, height, mass, extremity dominance, education level, sport participation and physical activity level. All subjects filled out an <a href="https://www.hss.edu/secure/files/WSMC-ikdc.pdf">IKDC</a> (international knee documentation committee) questionnaire. <br />
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Each subject had a functional MRI performed while they performed a unilateral leg extension/flexion exercise depicted below. Each subject performed the task for 30 seconds rested 30 seconds and performed 4 blocks of movement and 5 blocks of rest. Brain activity was mapped during the course of the exercise and comparisons to matched controls were made.<br />
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<b>Conclusion:</b><br />
ACLR patients had significantly lower scores on the IKDC when compared to matched controls. The ACLR group had increased activation in the contralateral motor cortex, contralateral lingual gyrus and ipsilateral somatosensory area. There was also diminished activation in the ipsilateral motor cortex and ipsilateral cerebellum. <br />
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What this tells us is that there is altered activation in regions of the brain that are responsible for sensory, motor and sensory-visual-spacial processing. Obviously these are key areas and proper functioning is a key part of successful return to sport performance as well as mitigating injury risk with return to sport. If you consider the two studies I spoke about last week, this may be one reason we still see these biomechanical deficits so far out from surgery despite the fact that they have had surgery. The fact that these subjects are 38 months post op, tells you that these deficits DO NOT self correct. <br />
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One perfect example is a lateral shift. As much as we think we catch it, correct it and prevent it in our ACL rehab, the reality is that there are a lot of therapist that do not. The fact that we see this in mass physicals with college athletes who had an ACLR back in high school some 3 years ago tells us we did not catch it then. The reality is, we have to do ACL rehab better. Addressing the neuroplastic changes is a perfect example. <br />
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Next week, we will take a look at a case study of an athlete with an athlete that is 11 months post ACLR. The athlete was being evaluated for RTSport and we will see what the results were. We will follow this up by some motor learning studies with ACL rehab to get some specific examples of exercise techniques we can deploy as a part of rehab.<br />
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Have you followed my instragram @bjjpt_acl_guy lately? If not, you are missing out. I am constantly posting the latest research in injury prevention and sports medicine. Don't miss out and please share with your colleagues, athletes and training partners and please be sure to follow us on instagrm @ bjjpt_acl_guy and twitter @acl_prevention. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical, is Vice Chairman of Medical Services for USA Obstacle Racing and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-62879836805286323982020-06-08T04:00:00.000-05:002020-06-08T04:00:14.207-05:00Neuroplasticity and ACLR Rehabilitation <a href="https://1.bp.blogspot.com/-YlqjUjZdngQ/UfFSZGQA3GI/AAAAAAAAFxM/jSLm8brJBJIKkqxLEITUDl6A2rj7hX6OACPcBGAYYCw/s1600/Psychology%2B1.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="1600" data-original-width="1600" height="320" src="https://1.bp.blogspot.com/-YlqjUjZdngQ/UfFSZGQA3GI/AAAAAAAAFxM/jSLm8brJBJIKkqxLEITUDl6A2rj7hX6OACPcBGAYYCw/s320/Psychology%2B1.jpg" width="320" /></a>One of the most challenging aspects of treating athletes who have had an ACLR comes at the conclusion of rehabilitation when we are attempting to make that final return to sport decision. Throughout the rehab process, we do everything we can to ensure that the athlete is physically and mentally ready for return to sport. We hope that the training methods we have implemented have prepared them for this. But what if I told you there is an aspect that we typically miss. <br />
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Have you heard of neuroplasticity? Defined, neuroplasticity is the ability of the brain to form and reorganize synaptic connections, especially in response to learning or experience or following injury. This has become an area of increased focus in ACLR because we know there are changes that occur in the higher centers (brain) after an ACLR. If these changes are not addressed as a part of our rehab, then they can remain and increase the athlete's risk of reinjury with return to sport (RTSport). At this point you may be saying to yourself, not my patients. With the functional training that I do, by the time they are ready for RTSport, we have addressed this. Have you?<br />
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Some recent studies have highlighted a sobering fact. We are not as good as we think we are. <a href="https://pubmed.ncbi.nlm.nih.gov/30943079/">King et al Am J Sport Med 2019</a> performed 3D motion capture on 156 athletes that were 9 months post op ACLR and compared those to healthy controls. The subjects performed:<br />
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<li>Bilateral vertical drop jump test</li>
<li>Single leg vertical drop jump test</li>
<li>Single leg hop for distance</li>
<li>Planned and unplanned change in direction task</li>
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What the authors found was there was an asymmetry in loading in the bilateral vertical jump test and greater asymmetries in single limb testing. Considering all these athletes had gone through rehabilitation and were progressed for RTSport, there was obviously something missing in the rehab process that allowed this degree of asymmetry to continue to exist. </div>
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" /></a>When you look at athletes who have gone back to sport and who are doing some kind of strength and conditioning with the team, then surly this must be corrected and resolved. <a href="https://pubmed.ncbi.nlm.nih.gov/31373856/">Ithurburn et al Am J Sport Med 2019</a> took this one step further and looked at athletes who had RTSport and were 2 years out post ACLR. In this study, the authors looked at 64 male and female athletes and did 3D motion capture during bilateral and single limb vertical jump testing. What the authors found was bilateral vertical jump test significantly improved with improved symmetry but single limb vertical drop jump test still demonstrated significant asymmetry. </div>
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So despite going back to their normal routine, sports, sports training, weight lifting, etc, there still remained a significant deficit that puts that athlete at a greater risk of reinjury. So what are we missing? One, we need to do a better job of testing "biomechanical" factors throughout the course of rehab to ensure the interventions we are doing are in fact positively changing these. But two, we need to make sure we are addressing the neuroplastic changes that occur. </div>
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Neuroplasticity also known as brain plasticity or neural plasticity is the ability of the brain to change throughout one's lifetime. We know, for example, in stroke patients, that the brain has the ability to adapt and change as a result of the neural insult to the brain and can remap neural pathways so that non-damaged areas can take on some of the function of the damaged sections. That is neuroplasticity. In neuro rehabilitation settings we know this and can deploy certain techniques that will aid in this facilitating this process or neural adaptation in the brain. This aids to improved function despite the initial neural insult. In sports medicine, we rarely think about the changes that occur in the higher centers (in the brain) with an orthopedic injury.<br />
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However, next week, we will start looking at some recent studies, like the study by <a href="https://www.jospt.org/doi/full/10.2519/jospt.2017.7003">Grooms et al J Orthop Sport Phys Ther 2017</a> which highlights some of these neuroplastic changes that occur post ACLR. This will lead into some specific training and programming we can do to change. Stay tuned as I am super excited to share with you.<br />
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Have you followed my instragram @bjjpt_acl_guy lately? If not, you are missing out. I am constantly posting the latest research in injury prevention and sports medicine. Don't miss out and please share with your colleagues, athletes and training partners and please be sure to follow us on instagrm @ bjjpt_acl_guy and twitter @acl_prevention. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</div>
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical, is Vice Chairman of Medical Services for USA Obstacle Racing and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-46362396575785689472020-06-01T04:00:00.000-05:002020-06-01T04:00:08.778-05:00Efficient Movement Drives Performance & Mitigates Risk - Part VILast week, we started our discussion about quadriceps weakness and how this can influence movement and a patient's perception on their functional ability. This was specific to those who have had an ACL reconstruction. However, that being said, I think there is a lot we can learn from this and which we can apply to any athlete. It gives us some guidance on some things we can assess (isometric quadriceps strength and single leg squat/hop) as well as some thing we can do in our training to help reduce these deficits, improve performance and mitigate injury risk.<br />
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However, I think one question that comes out of this discussion is why does this persist after an ACL reconstruction if they are doing rehab and what can we do to change it. Why does it persist? I think there are a lot of complexity to this question.<br />
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<a href="https://1.bp.blogspot.com/-khzIZTu5TuE/Xr72erTLnkI/AAAAAAAAHBk/zJfIeF90HssOKJavvL3qwND5d2HJJc-lwCLcBGAsYHQ/s1600/ACLR.PNG" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="233" data-original-width="620" height="120" src="https://1.bp.blogspot.com/-khzIZTu5TuE/Xr72erTLnkI/AAAAAAAAHBk/zJfIeF90HssOKJavvL3qwND5d2HJJc-lwCLcBGAsYHQ/s320/ACLR.PNG" width="320" /></a></div>
One aspect is that there are neuroplastic changes that occur in the brain following an injury. There has been an increasing body of evidence that is showing that there are changes that occur in the higher centers (brain) after an lower limb injury. Studies are showing that some of the neuroplastic changes that are occurring remain after rehabilitation and after the athlete has been returned to play. It is speculated that some of these neurological changes that occur could be one reason for the higher reinjury rates after an athlete returns to play. If we could identify where these changes are, then this might guide us on what type of training we could do which would improve and reduce reinjury rates.<br />
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<a href="https://1.bp.blogspot.com/-_OTSferm958/Xr74WfaS5PI/AAAAAAAAHBw/SZ6mDLWXn3gMADLM6gifPbgqfNPBCmbIACLcBGAsYHQ/s1600/ACLR2.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="588" data-original-width="234" height="320" src="https://1.bp.blogspot.com/-_OTSferm958/Xr74WfaS5PI/AAAAAAAAHBw/SZ6mDLWXn3gMADLM6gifPbgqfNPBCmbIACLcBGAsYHQ/s320/ACLR2.png" width="127" /></a><a href="https://www.jospt.org/doi/full/10.2519/jospt.2017.7003">Grooms et al J Orthop Sports Phys Ther 2017</a> looked at 15 ACL reconstructed athletes who were cleared to return to sport and compared them to 15 matched controls. Each participant filled out an IKDC (which we talked about last week) and had a functional MRI. A functional MRI is an MRI that is done while the athlete is performing a task (pictured above). In this study, the task was performing knee extension while having an MRI. <br />
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What this study showed was that the athletes who had poor scores on the IKDC (their perceived functional ability of their knee) did in fact have diminished activity in the ipsilateral motor cortex and ipsilateral cerebellum. What does that mean? Essentially, this means that these athletes had altered activation in areas of their brains which is responsible for sensory, motor and sensory-visual-spacial processing. We are going to dive into this subject a lot more on the next blog series but this information clearly guides us on types of exercises we can add to our rehab and our performance training that is going to improve input in these areas resulting in improved performance and mitigating risk of injury.<br />
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I touch on this here, because this may be one reason that we see some of the things we do in rehab. For the athlete that has massive lateral shift (shifting weight to one side during squatting), this may be from these higher center neuroplastic changes. In addition, the changes in the primary motor cortex could be one additional reason that the quadriceps have difficulty firing and why an asymmetry in quadriceps develop continues even at the point of return to sport. So, how can we change this and can we use exercises to increase input to these higher centers?<br />
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Sadly, I think it is not as complex as we make it. Applying some simple concepts early on in the rehab process will aid in elevating a lot of this. Some examples:<br />
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<li><b>Correct a lateral shift ASAP.</b> The first time you start any type of squats, partial, sit to stand or whatever it is, correct the lateral shift. Do not let this persist. Training this motion and allowing this lateral shift starts creating these movement patterns as the default movement pattern in the higher centers. This means this will be the movement they resort to when they sit, get down to the commode, sit in a car, on their bed ect. This will then be the movement pattern they will carry over to functional squatting, training activities and sport. WE must correct it and correct it right away. </li>
<li><b>Start working recruitment of the quadriceps right away</b>. If they can't do the motion concentrically, start them doing it eccentrically. Muscles are stronger eccentrically and I have often found we can use this to start recruiting muscles the athlete is having a difficult time recruiting. Try this technique. Take an athlete that can't do a long arc quad set or a straight leg. Raise their leg for them up to the end range of motion then have them hold it. Do this for a couple of reps then have them slowly lower it. Do that for 5 reps then have them do it immediately concentrically after completing an eccentric contraction. They can do it! Why? We have reengaged that synaptic pathway and got it firing again. </li>
<li><b>Add BFR to your routine.</b> Blood flow restriction training is a great tool we can use to recruit more of the muscle. By using BFR, you create a blockage of the venous return which causes a buildup of blood within the muscle (buildup of blood in the muscle resulting in back flow preventing more oxygenated blood from entering). As result, muscle gets <i>super</i> pumped up and creates a hypoxic state. This is due to less oxygenated blood coming in all while the task or load continues to be performed. This decrease in O2 causes a fatigue and an increase in motor unit recruitment and more whole muscle activation. This is how we get more of the muscle involved and greater recruitment of the whole muscle versus partial and hence more hypertrophy. </li>
<li><b>BFR alone not enough - add electrical stimulation</b>. We know that electrical stim (ES) can aid in recruiting more motor units within the muscle when done with low level exercise (leg raises, short arc quads, long arc quads). You can increase the impact of both the ES and the BFR by combining the two. </li>
<li><b>Single limb performance</b> - single leg activities are absolutely an essential part of your rehab<div class="separator" style="clear: both; text-align: center;">
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program and early. Obviously we want to stick within the guidance of the protocol, but the sooner you can start single limb exercises and single leg squats while controlling the frontal plane motion of the knee the less likely you are to have an issue with quadriceps weakness and risk of reinjury. To promote desired motor patterns we are looking for, it is imperative that the athlete controls frontal plane motion, hip motion and motion at the foot an ankle. Full kinetic chain stability is the key. </li>
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All these techniques aid in increasing motor unit recruitment, more of the whole muscle contraction and aid in developing desired motor patterns in the higher centers. This is just the beginning. Keeping in mind, there are more ways to do this and in our next series, we will talk about specific training techniques we can deploy to create neuroplastic changes and help mitigate risk for reinjury. What I will say, is if you add these techniques to your rehab process, quadriceps atrophy and weakness will not be an issue. <br />
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That concludes this series. Next week, we start to dive into some of the research related to the changes that occur in the higher brain centers and what specific strategies we can do to help retrain.. Stay tuned as I am super excited to share with you. Have you followed my instragram @bjjpt_acl_guy lately? If not, you are missing out. I am constantly posting the latest research in injury prevention and sports medicine. Don't miss out and please share with your colleagues, athletes and training partners and please be sure to follow us on instagrm @ bjjpt_acl_guy and twitter @acl_prevention. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe<br />
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical, is Vice Chairman of Medical Services for USA Obstacle Racing and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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<br />Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-9096983177145150092020-05-25T04:00:00.000-05:002020-05-25T04:00:06.734-05:00Efficient Movement Drives Performance & Mitigates Risk - Part V<div class="separator" style="clear: both; text-align: center;">
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Last week, we discussed rapid neuromuscular response or RNMR and how it is important to include this type of training methodology into our ACL rehab and prevention. We discussed how, by incorporating this type of training methodology, we can reduce risk of injury, train rapid stability in single limb activity and how this can carry over to sport, especially for those who have indirect contacts in sport.<br />
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This week, we will continue this discussion by looking at how quadriceps function impacts both movement and kinesiophobia. Anyone that has dealt with an ACL reconstructed athlete over they years knows that pushing quadriceps strength is vital, something you start very early and can sometimes be something that is very difficult to get. This is going to be the area of focus for us this week as we look at a couple of studies that tie quadriceps strength and symmetry to both biomechanical function in single limb performance, injury risk and kinesiophobia.<br />
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In a study by <a href="https://pubmed.ncbi.nlm.nih.gov/25883169/">Smith et al Am J Sport Med 2015</a>, the authors looked at 75 athletes following ACLR who were cleared for return to sport (RTSport). Each athlete filled out an IKDC (international knee documentation committee form), performed a biodex test for quadriceps strength and had their lower extremity biomechanics measured during a single legged hopping task. What the study showed was that patients who demonstrated the greatest quadriceps deficit at the time of testing also scored poorly on the IKDC and demonstrated movement asymmetries and decreased functional performance on hop testing. <br />
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For those not familiar with, the IKDC is a patient reported outcome that is the patient's self reported or patient's perceived function of their knee during a series of functional activities. The <a href="https://www.hss.edu/secure/files/WSMC-ikdc.pdf">IKDC</a> asks a series of questions related to pain, function, ect and is the patient's perspective of their functional status of their knee during performance of these tasks. Poor performance on this test has been shown in the research to be highly correlated to the actual functional status of the patient's knee. The results of this study would suggest that a decrease in quadriceps strength post ACLR would be associated with a decrease in functional ability in daily activities as well as sporting activities.<br />
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This study also evaluated lower kinetic chain biomechanics during performance of single leg hopping tasks. The results showed a strong correlation (P value <.05) between quadriceps weakness and altered lower kinetic chain biomechanics during single leg hopping. These biomechanical differences noted with quadriceps weakness are also associated with an increased risk for non-contact lower kinetic chain injuries.<br />
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This can give us some guidance, not only from an assessments standpoint but also from a treatment standpoint. Obviously lower chain kinematics are altered when the athlete experiences quadriceps weakness, so one could assume that assessing single limb movements (like a single leg squat) would be one way we could functionally identify this and could use this further as a training method. <br />
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Knowing that poor quadriceps control and decreased function following ACLR is something we often see in sports medicine and rehabilitation, this led <a href="https://www.physiotherapyjournal.com/article/S0031-9406(15)03431-8/abstract">Ho et al J Physio 2015</a> to investigate this. In this study the authors tested 100 athletes post ACL reconstruction who were cleared for RTSport and wanted to see the correlation between quadriceps function, kinesiophobia and quadriceps strength.<br />
This study showed a weak correlation to strength and kinesiophobia but a strong correlation to strength and altered biomechanics during single limb exercises. In looking at this study, it is difficult to really determine the full depth of the methods and how they were carried out. However, the results are somewhat similar to what <a href="https://www.ncbi.nlm.nih.gov/pubmed/7920603">Wilk et al J Ortho Sport Phy Ther 1994</a> showed in this much earlier study. It this study, the authors showed a correlation to quad strength, results on an IKDC and performance of single limb testing. So if quadriceps strength was poor, both IKDC went down as well as symmetry in performance in the single limb testing. However, one thing to keep in mind, for the single limb testing performed in the Wilk study, there was not a measure of biomechanics during performance of the task but rather simply the ability to perform the task. As we know and as pictured above, you can be symmetrical and still be at risk.<br />
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Before we close out this discussion on quadriceps strength, one thing that often comes up is how do you test that. I don't have a $30K or $60K Biodex machine in my clinic to test. Is manual muscle testing alone good enough. Before I answer that, I would refer back to several earlier studies by Wilk et al and <a href="https://content.iospress.com/articles/isokinetics-and-exercise-science/ies6-1-09">Ellenbecker et al Isokin Exer Sci 1996</a>. In the Ellenbecker study, they compared isokinetic testing to standard manual muscle testing. What the study showed is that there is sometimes up to a 28% strength deficit or variance in right to left strength before a "experienced" clinician can pick that up in traditional MMT. So how can we possible test and be reliable? <br />
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With the advent of technology, there are numerous products on the market to help. Hand held computerized dynamoters have come down dramatically in price and you can now get them for under $1000. This is a great alternative to the expensive isokinetic machines and will aid in giving more reliable data. Now all of this was great information to have but the question should be, what do I do with it. <br />
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Next week we will begin to discuss why these deficits continue to remain through rehab and how we can address. Stay tuned as I am super excited to share with you. Have you followed my instragram @bjjpt_acl_guy lately? If not, you are missing out. I am constantly posting the latest research in injury prevention and sports medicine. Don't miss out and please share with your colleagues, athletes and training partners and please be sure to follow us on instagrm @ bjjpt_acl_guy and twitter @acl_prevention. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe<br />
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical, is Vice Chairman of Medical Services for USA Obstacle Racing and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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<br />Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-30600346893712362452020-05-18T04:00:00.000-05:002020-05-18T04:00:00.997-05:00Efficient Movement Drives Performance & Mitigates Risk - Part IV<div class="separator" style="clear: both; text-align: center;">
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<span style="font-family: inherit;">Last week, we introduced the concept of indirect contact ACL injuries and how these occur. Although this may be new knowledge for some, this concept has been out there and well published for the last 4 to 5 years. Considering, this adds another spectrum to the mechanism of ACL injuries, contact, indirect contact and non-contact. We know that we can impact non-contact injuries but can we influence indirect contact? Absolutely. </span><br />
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<span style="font-family: inherit;">Last week, we began to discuss the concept of rapid neuromuscular response or RNMR. This is a form of training where we train the athlete to have a rapid response to an external stimulus which results in whole kinetic chain stability. We typically use perturbation training with this and in our last blog we discussed some simple concepts to keep in mind with perturbation training. With this type of training, we start with some simplistic movements and go to more complex ballistic types of movements. As an example, I will go through a series of single leg exercises from simple to much more complex. The goal of this series is that the athlete is training for stability in single limb performance. When I say that, I want them to control both the magnitude of frontal plane motion and speed at which that motion occurs. </span><br />
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<span style="font-family: inherit;">Last week, we also talked briefly on perturbations and what those are. We also stressed the importance of making sure we are training the types of movement patterns we want (stability). Considering, our stress should not exceed the athlete's ability to provide stability to the stimulus. However, before we move on, we must also discuss the concept of both anticipated and unanticipated perturbations. As far as a progression goes, I will start with anticipated (where the athlete knows this stimulus is coming) to more difficult unanticipated (where athlete does not know what rep the perturbation may occur on). This series we will discuss just an example of a progression keeping in mind there are a lot of ways in which we can alter this and change it up. </span><br />
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<span style="font-family: inherit;">We will go through a series of single leg exercises. Before we do, I would like to highlight some of the things we see when we look at our movement data. </span><br />
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<span style="font-family: inherit;"><b>Hip position</b> - athletes have a very hard time maintaining proper hip position during the course of single leg exercises. As mentioned in the beginning of this <a href="https://aclprevention.blogspot.com/2020/04/efficient-movement-drives-performance.html">blog</a> series, there are some common hip patterns we see where the athlete loses control of the pelvis during single leg tasks. Keeping that in mind, if we do not correct this during single leg training, then this will be a pattern they continue and will carry this over in sports. </span><br />
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<span style="font-family: inherit;"><b>Control frontal plane motion</b> - we have talked a lot about this but this is especially critical in our training. Our goal is to aid them in controlling the speed at which this motion occurs. Are they still going to fall into a dynamic valgus position? Most likely yes. But, when they do, we want them to control the speed at which they fall into that position. Therefore, as a part of our training, we must work on them controlling this motion. If they loose the ability to control this motion, simply step back the exercise. What I mean by this, is if they are doing a single leg squat (where the contralateral limb is off the ground) and unable to control the frontal plane motion, then step them back to a split squat where the contralateral limb is in contact with the ground. This is a more stable position (easier) and they can still work on the neuromuscular control to control this position. This is better than simply stopping the exercise as is or continuing it. Continuing the exercises reinforces the negative movement patterns and stopping does not help build the level of endurance they need to control.</span><br />
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Considering the above, the following is a sequence we will use for RNMR.<br />
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<span style="font-family: inherit;"><b>Single Leg Lunge RNMR Series</b>. This is an exercise we all use a lot and are familiar with. However, in this example </span><br />
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<span style="font-family: inherit;">we will start with the athlete performing a set number of reps and then provide perturbation at a given range. (20 - 45 - 90 degrees knee flexion). </span><br />
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<span style="font-family: inherit;">Once technique is mastered, this is progressed to performing the single leg lunge with the spiral technique. The spiral technique uses the theraband CLX band wrapped around the stance leg in a very specific manner. For specifics on this technique, please refer to the following <a href="https://youtu.be/2-5mGUqQi8A">video</a>. The end of the clx is held by the clinician and can be used to provide perturbations (pulling the band in a medial and diagonal fashion - resulting in an adduction and internal rotation force). This would start with performing this through concentric phases then concentric and eccentric phases. </span><br />
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<span style="font-family: inherit;">Once technique is mastered, then this is progressed to include (without the band) upper and lower body perturbations. From there we move to performing with split squats, to single leg hops. Once technique is mastered, then this would progress from anticipated (knowing this will happen on every rep) to unanticipated. </span><br />
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<span style="font-family: inherit;">Obviously there are 1000s of variations that can be performed with this sequence. You can add doing landing to take off in sprinting. Or running to do a jump with indirect contact, to change in direction (much later phases of rehab). Key is to make sure we are training the movement pattern we want (control of frontal plane motion of the knee and transverse, sagittal and frontal plane motion of the pelvis). </span><br />
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This is just one example but should give you an idea of how we are using perturbation training to aid in creating these rapid neuromuscular responses to control movement. Next week, we will take a dive into how deficits in quadriceps strength can add to kinesiophobia and changes in frontal plane biomechanics. Stay tuned as I am super excited to share with you. Have you followed my instragram @bjjpt_acl_guy lately? If not, you are missing out. I am constantly posting the latest research in injury prevention and sports medicine. Don't miss out and please share with your colleagues, athletes and training partners and please be sure to follow us on instagrm @ bjjpt_acl_guy and twitter @acl_prevention. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe<br />
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical, is Vice Chairman of Medical Services for USA Obstacle Racing and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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<br />Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0tag:blogger.com,1999:blog-4165847526717614276.post-7629322224332953642020-05-11T04:00:00.000-05:002020-05-11T16:10:45.233-05:00Efficient Movement Drives Performance & Mitigates Risk - Part III<a href="https://1.bp.blogspot.com/-BybarGAIFeU/VZWz77OG_QI/AAAAAAAAFxM/_AEXUVwl-oUYWO4O4_JU32Mi7EuXo1bXQCPcBGAYYCw/s1600/1.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="287" data-original-width="460" height="199" src="https://1.bp.blogspot.com/-BybarGAIFeU/VZWz77OG_QI/AAAAAAAAFxM/_AEXUVwl-oUYWO4O4_JU32Mi7EuXo1bXQCPcBGAYYCw/s320/1.jpg" width="320" /></a><span style="font-family: inherit;">Last week, we reviewed a recent study by </span><span class="MsoHyperlink"><a href="https://www.ncbi.nlm.nih.gov/pubmed/32168459">Markstom et al Am J Sports Med 2020</a></span> which looked at ACLR athletes and compared them to controls on several hoping types of tasks. This lead to a discussion about medial hops, some of the things we see with this as well as this concept of knee robustness (ability to tolerate perturbation during functional activities and still maintain joint configuration).<br />
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This is a concept that makes a lot of sense to me and I was first introduced to this ~6 years ago. A lot of this initial work comes out of Australia and is a deep dive into the mechanism for non-contact ACL injuries. We know from the research that ACL injuries occur from non-contact (where there is no contact with an individual or object resulting in the ACL injury) and a contact injury (where there is contact with something or someone that results in the ACL injury). An example of the non-contact ACL injury is when a player has a rapid change in direction and their knee goes into a dynamic valgus and they rupture the ACL. An example of the contact ACL is a another player strikes the knee of an opponent and this ruptures the opponents ACL. We also know from the literature that the majority of injuries are non-contact in orientation (70-80%) and these are the ones we can impact the most with screening and injury prevention techniques.<br />
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<a href="https://1.bp.blogspot.com/-LoAssC53WgQ/Xqly47tc0eI/AAAAAAAAG_k/JjisZAgAMfwGunr8fVw_pQ9bXpOjYokmACLcBGAsYHQ/s1600/header.webp" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="536" data-original-width="858" height="199" src="https://1.bp.blogspot.com/-LoAssC53WgQ/Xqly47tc0eI/AAAAAAAAG_k/JjisZAgAMfwGunr8fVw_pQ9bXpOjYokmACLcBGAsYHQ/s320/header.webp" width="320" /></a>However, there is also another category of ACL injuries called <i>indirect contact</i>. This is where there was contact with the athlete prior to landing and their change of direction. As an example, a soccer player goes up to head a ball (pictured). The player in the red jumps for the ball. In the higher centers in his brain, there is a motor plan that his brain resorts to for effective execution of that motion. For this to work efficiently, his body is in a certain position and he lands with his legs and center of mass in a predictable position. However, what happens, as he heads the ball is that the player in the blue strikes his shoulders in mid-flight. This drastically alters where he lands, where his center of mass is relative to his legs and his feet may not be in the optimal position. When he then changes direction to run after the ball, his body is in the wrong position and he ends up falling into a rapid dynamic valgus and ruptures the ACL.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhynzBktkUctyZj3nOUmP9KmJtnwVk3nt1Z6aBdhNmQDxVq08SR0dIUnzPQ3UC15vwagY5MxFo-1hOU2hNWDw4Hd3lDW1BwIrjUygFgW0Tl83-o5fm3-YdLQl8Mpba7UFz9WBwEluRzemTh/s1600/ACL+4.PNG" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="1443" data-original-width="1047" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhynzBktkUctyZj3nOUmP9KmJtnwVk3nt1Z6aBdhNmQDxVq08SR0dIUnzPQ3UC15vwagY5MxFo-1hOU2hNWDw4Hd3lDW1BwIrjUygFgW0Tl83-o5fm3-YdLQl8Mpba7UFz9WBwEluRzemTh/s320/ACL+4.PNG" width="232" /></a>In a study by <a href="https://www.researchgate.net/publication/286373473_Mechanisms_of_anterior_cruciate_ligament_injuries_in_elite_women's_netball_a_systematic_video_analysis">Stuelcken et al J Sport Sci 2016 </a> the authors performed a systematic video analysis of 16 anterior cruciate ligament injuries sustained in elite level netball players during televised games. Of the 16 injuries, 8 of these were identified as indirect contact ACL injuries. In the indirect contacts a player was jumping in the air to receive or intercept a ball when they received a perturbation in the air. As a result, the athletes landing was unbalanced resulting in excessive loading to the knee that was ultimately injured.<br />
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<span style="font-family: inherit;">This concept of indirect contact is new to many but it has been a concept that has been investigated for the last 10 years. We know that we can create preventative programs to aid in reducing non-contact injuries but is there any form of training that can be done to aid in prevention of indirect contact injuries. Absolutely!</span><br />
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<span style="font-family: inherit;">One concept we talk about a lot with our certification course is the concept of rapid neuromuscular response or RNMR. With this approach to training, we want to teach to the athlete to have a rapid neuromuscular response to external stimulus (indirect contact). This response should be one that results in stability and full kinetic chain stability. In order for this form of training to work, we must first talk about the concept of perturbation training. This is a technique that we often employ in rehabilitation but which is rarely used in performance training. Frankly, there is application in both settings if it is done correctly. </span><br />
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<a href="https://1.bp.blogspot.com/-_TfUkNcVuUY/Xql5rJg3wAI/AAAAAAAAG_8/dT33B5mkg_kjW4DEU4JaUPS5vfsmMndFACLcBGAsYHQ/s1600/perturbation.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="375" data-original-width="562" height="213" src="https://1.bp.blogspot.com/-_TfUkNcVuUY/Xql5rJg3wAI/AAAAAAAAG_8/dT33B5mkg_kjW4DEU4JaUPS5vfsmMndFACLcBGAsYHQ/s320/perturbation.jpg" width="320" /></a><span style="font-family: inherit;">Before we do a deep dive into the training, we must first talk about how perturbations should be done. When I teach this in our courses, I see a lot of different ways that perturbations are applied. Keeping in mind, the goal we are looking to achieve is a rapid neuromuscular response to provide stability to the stimulus applied. So, our stimulus, perturbation, should not be so great that it breaks the athlete resulting in movement. We are looking for stability. </span><br />
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<span style="font-family: inherit;">An example pictured here. I have an athlete in a lunge position and hold their arms out in front of them, palms together (pushing palms together to bring in pec contraction) and asked to stabilize their shoulders, core and LKC. I ask them to not let me move them. I provide perturbations with my hands to their hands, shoulders and knee. My perturbation (or force) does not exceed their ability to stabilize. I want train a motor pattern that results in them stabilizing versus allowing the body to move with the stimulus. These are two very different motor patterns and for prevention and ability to resist indirect contacts, we have to teach to stabilize when these occur. This is one area where I see a lot of folks make a mistake. The force they provide is greater than the athletes ability to stabilize so they are essentially teaching them to break instead of stabilize. As the athlete improves, we obviously provide more and more force but initially we are looking for the rapid response for stability. </span><br />
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<span style="font-family: inherit;">Next week, we will dig a little deeper into this concept of rapid neuromuscular response and how we can train this from simplistic to ballistic movements. Stay tuned as I am super excited to share with you. Have you followed my instragram @bjjpt_acl_guy lately? If not, you are missing out. I am constantly posting the latest research in injury prevention and sports medicine. Don't miss out and please share with your colleagues, athletes and training partners and please be sure to follow us on instagrm @ bjjpt_acl_guy and twitter @acl_prevention. Train hard and stay well. #ViPerformAMI #ACLPlayItSafe</span><br />
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<span style="font-size: 9pt; line-height: 12.84px;">Dr. Nessler is a practicing physical therapist with over 20 years sports medicine clinical experience and a nationally recognized expert in the area of athletic movement assessment and ACL injury prevention. He is the founder | developer of the ViPerform AMI, ViPerform AMI RTPlay, the ACL Play It Safe Program, Run Safe Program and author of a college textbook on this subject. Trent has performed >5000 athletic movement assessments in the US and abroad. He serves as the National Director of Sports Medicine Innovation for Select Medical, is Vice Chairman of Medical Services for USA Obstacle Racing and movement consultant for numerous colleges and professional teams. Trent also a Brazilian Jiu Jitsu purple belt and complete BJJ/MMA junkie. </span></div>
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<br />Dr. Trent Nesslerhttp://www.blogger.com/profile/07100565705002730144noreply@blogger.com0