According to the research, only 63-69% of
college football players return to sport following an ACL reconstruction and only
43% of them return to the same level. Unfortunately,
77% report a “sports disability” in 5 years.
Whether that disability is lack of agility, lack of speed or confidence
on the involved side, the fact remains that 5 years post, a majority of players
still feel limited. The research also
shows us that 20% will have a 2nd ACL injury in 2 years and 79% will
have osteoarthritis in 12 years. So
considering all the research, it is no wonder that players are concerned about
ACL injuries. But, are these
preventable?
Some argue that the recent changes in the NFL
rules related to concussion are resulting in increases in ACL injuries. The theory behind this is that the new
concussion laws have led to players being concerned about hitting high, so most
are hitting players lower. Hence, if
they are hitting lower, knees are more susceptible to these injuries and
therefore this could account for the increase in ACL injuries. Although this may be true, according to the
data from this season, over 66% (42 of the recorded 63) of the ACL injuries
that occurred in the 2013/14 NFL season are non-contact in
orientation. This means that there was
no contact with another player and therefore the change in the concussion rules
would not account for the increase. If
that is the case, then why the increase?
If the answer was simple, then we would not have the current
problem. There are a lot of reasons for
non-contact injuries. Some of the most
common:
- Change in type of playing surface. With change in surface types, there is often a change in co-efficient of friction. If the co-efficient of friction is too high or too low, this can result in players slipping (too low) or catching their feet (too high) when changing direction.
- Change in shoe wear. With changes in shoe wear, you can also have changes in co-efficient of friction. This will again result in the same scenario as above.
- Change in pre-season reporting or training. If players are reporting to their teams for preseason training later, this could account for a decreased impact of the preconditioning routine the players will go through prior to onset of the season. On the other hand, if there is a change in the training philosophy that is applied, this could account for decreased strength, endurance or mobility prior to onset of the season.
- Not addressing biomechanics known to be associated with ACL injuries. There is a plethora of research about the biomechanics associated with ACL injuries which has been well published for the last 10 years. Despite this, the majority of teams have yet to implement measures that directly assess these mechanics.
Some of these can be easily determined whether
or not they are contributing to the increase in ACL injuries. This
would simply take looking at the individual injuries, where they occurred (field)
and if any of the above conditions have or had been met. However, when you analyze the data, you can
see some trends. For example, the
graph above shows ACL injuries by team.
According to the data, San Francisco, Carolina and Cincinnati account
for 24% of the ACL injuries that have occurred thus far. But, what is even more telling is when you
look at ACL injuries by position.
According to the data, the following positions accounted for 65% of the
ACL injuries that have occurred thus far.
- Wide Receivers – 23.8%
- Line Backer – 15.9%
- Offensive Lineman – 14.3%
- Corner Back – 11.1%
Although the data is not clear on the
potential cause, one thing is for sure, we must do something different. Insanity = Doing the same thing over and over
and expecting a different outcome. If
things are not done differently, then we can expect the same outcome and sadly,
those that suffer the most are the players.
One thing is clear; we must start to use the research to guide our
intervention strategies. The research is
very clear what kind of mechanics lead to an ACL injury. As depicted in the picture here, these
mechanics often lead to increased stress to the ACL and all other tissues of
the lower kinetic chain. If corrected,
according to the research, the rate of ACL injuries is decreases and
performance in vertical jump and sprint speed are also improved. Current methodology being used in the NFL is
not capturing these motions and therefore identifying those at risk is not as
easily seen. So, is there a better way?
Absolutely. There is a test out there that measures the movements we know put players at risk. Now, it is even automated using the most advanced 3D technology available and scores every rep. So there is no interpretation errors and it can detect minor changes in movement. The 3D-DMA™ is the only assessment of this
nature on the market, it is very physically challenging (bring in fatigue) and uses the
same movements used by the scientist to identify these poor movement patterns
know to put athletes at risk. The DMA™
also consist of 50% single limb test and has a portion of it which assesses the
contribution of the core. By performing the battery of tests and with
the results of each test feeding (in part and whole) to the diagnostic capabilities
of the assessment, the examiner is lead to the “root cause” of the movement
patterns observed.
Whatever is done, something different needs to
be done. As Einstein says, you can't expect different results if you are doing things the same. ACL injuries have had a trend
of increases in the NFL since 2005. This increase has occurred despite the NFL’s
implementing a movement screen to aid in preventing injuries and specifically
ACL injuries. But, are you screening movements
known to be associated with ACL injuries? Are you quantifying adduction in the frontal plane. If one looks at the data and the trends among the NFL, then the answer
is clear!
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