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Predicting Musculoskeletal Injuries from Psychological, Neurocognitive and Physical Factors in Collegiate Athletes Without Injury History

445 Board #266 May 31 11

00 AM - 12

30 PM

Mokha, Monique 33128; Sprague, Peter 33128; Gatens, Dustin; Orris, Steve; Russo, Steve

Medicine & Science in Sports & Exercise: May 2017 - Volume 49 - Issue 5S - p 120
doi: 10.1249/01.mss.0000517155.06941.80
A-54 Free Communication/Poster - Preparticipation and Injury Risk Assessment Wednesday, May 31, 2017, 7: 30 AM - 12: 30 PM Room: Hall F
Free

Nova Southeastern University, Ft. Lauderdale, FL.

Email: gm588@nova.edu

(No relationships reported)

Musculoskeletal injury (MSI) risk in athletes is thought to be multifactorial in nature and to include psychological, neurocognitive and physical sources. However, most researchers lack the time and resources to assess these multiple factors in large groups of athletes. Examining multiple factors at once may yield improved injury prediction.

PURPOSE: To determine if body fat percentage (high or low BF%), ImPACT reaction time (RT in sec), ImPACT visual motor speed (VMS in sec), Functional Movement Screen (FMS) scores, Beck’s depression indices (BDI), and/or Beck’s anxiety indices (BAI) could predict MSI in athletes without MSI history.

METHODS: Seventy-one [(males, n=35; age, 19.9+1.5 yrs; height, 1.77+0.08m; mass, 73.2+14.6kg) (females, n=36; age, 19.1+1.1 yrs; height, 1.68+0.06m; mass, 70.1+9.4kg)] NCAA Division II athletes without MSI history participated in this prospective cohort study. Data were collected during pre-participation examinations as part of standard protocol. Injuries were tracked for an academic year by each team’s certified athletic trainer via computer software. Pearson Chi-square analyses were used to determine if MSI could be predicted by BF%, RT, VMS, BDI, BAI, presence of a “1” on the FMS, or presence of an asymmetry on the FMS, p<.05. BF% was dichotomized as high or low for males (>15%) and females (>25%).

RESULTS: Twenty-seven athletes (38.0%) sustained a total of 54 MSI. Two of the 7 independent variables were statistically significant predictors of MSI. Athletes with asymmetry on any of the FMS tests (χ2=12.299, p<.001) or high BF% (χ2=5.820, p<.015) were more likely to sustain a MSI. The relative risks for an FMS asymmetry and high BF% were 1.89 (CI: 1.22-2.94, p=.001) and 1.99 (1.06-3.75, p=.015), respectively.

CONCLUSION: Athletes without a history of MSI may be at risk of MSI if they have high BF% or an asymmetry on any of the FMS tests. The neurocognitive and psychological test components may not yield significant injury prediction value in this group. Since BF% and FMS scores are modifiable risk factors clinicians may justify their assessment during pre-participation examinations.

© 2017 American College of Sports Medicine