Journal of Sports Science and Medicine
Journal of Sports Science and Medicine
ISSN: 1303 - 2968   
Ios-APP Journal of Sports Science and Medicine
Androit-APP Journal of Sports Science and Medicine
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©Journal of Sports Science and Medicine (2015) 14, 515 - 521

Research article
Examination of the Effectiveness of Predictors for Musculoskeletal Injuries in Female Soldiers
Einat Kodesh1, , Eyal Shargal2, Rotem Kislev-Cohen2, Shany Funk3, Lev Dorfman3, Gil Samuelly1, Jay R. Hoffman4, Nurit Sharvit3
Author Information
1 Department of Physical Therapy, University of Haifa, Israel
2 Sports Medicine and Research, Wingate Institute, Israel
3 Combat Fitness Center, Israel
4 Institute of Exercise Physiology and Wellness, University of Central Florida, USA

Einat Kodesh
‚úČDepartment of Physical Therapy, University of Haifa, Israel
Email: ekodesh@univ.haifa.ac.il
Publish Date
Received: 07-01-2015
Accepted: 20-04-2015
Published (online): 11-08-2015
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ABSTRACT

The amount of training days lost to injury during military training has highlighted the need to identify a screening tool to predict injury. One hundred and fifty-eight female soldiers from the Combat Fitness Instructor Course (CFIC) of the Israel Defense Forces volunteered to participate in this study. All soldiers were free of orthopedic and neurologic conditions for at least one month before the study. All participants performed a battery of measurements during the first week of the course. Measures included anthropometric, functional movement screen (FMS), power performances (counter movement jump [CMJ], drop jump, single leg triple hop jump [SLTH], 10-m sprint) and a 2K run. Injury data was collected throughout the 3 month course. Median tests were used to compare between injured/non-injured soldiers. Chi-square and/or logistic regression analysis was used to examine the association between various predictors and injury. Percent body fat [%BF] was higher (p = 0.04), distance for SLTH was less for both left and right legs (p = 0.029, p = 0.047 respectively) and 2K run was slower (p =0.044) in injured compared to non-injured soldiers. No differences between groups were noted in total FMS score, however more zero scores in one or more movement pattern were found in the injured group (51.35 % vs. 30.5% p=0.0293). Only %BF, 2K run and SLTH distance were significant predictors of injury (p = 0.05, p = 0.02, p =0.016 respectively). The results of this study indicated that the FMS total score is not a predictor of injury in female soldiers in a CFIC. We found that %BF, SLTH, 2K run time, 10 meter sprint time and zero scores differentiated between injured and non-injured soldiers. In addition, %BF, 2K run and SLTH were each found to be separate predictors of injury. Further research is needed to determine threshold scores that predict injury.

Key words: military, combat fitness, functional movement screen, assessment


           Key Points
  • A total of 145 injuries were reported during the three month Combat Fitness Instructor Course in a female soldiers, 37 of these injuries resulted in absence from at least two days of training.
  • FMS total score is not a predictor of injury in female soldiers in a CFIC. However, a score of zero, which is indicative of pain during movement, could serve as a warning sign for potential injury.
  • %BF, SLTH, 10 meter sprint, 2K run and number of zero scores in FMS appear to differentiate between injured and non-injured soldiers
  • SLTH, 2K run and body fat % are each separate predictors of injury for female soldiers in the CFIC
 
 
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