Kodesh Einat, Shargal Eyal, Kislev-Cohen Rotem, Funk Shany, Dorfman Lev, Samuelly Gil, Hoffman Jay R, Sharvit Nurit
Department of Physical Therapy, University of Haifa , Israel.
Sports Medicine and Research, Wingate Institute , Israel.
J Sports Sci Med. 2015 Aug 11;14(3):515-21. eCollection 2015 Sep.
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 pointsA 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 soldiersSLTH, 2K run and body fat % are each separate predictors of injury for female soldiers in the CFIC.
军事训练期间因伤损失的训练天数凸显了识别一种预测损伤的筛查工具的必要性。来自以色列国防军战斗体能教官课程（CFIC）的158名女兵自愿参与了这项研究。在研究前至少一个月，所有士兵均无骨科和神经科疾病。所有参与者在课程的第一周进行了一系列测量。测量包括人体测量、功能性动作筛查（FMS）、力量表现（反向纵跳[CMJ]、跳深、单腿三级跳[SLTH]、10米短跑）和2公里跑。在整个3个月的课程中收集损伤数据。使用中位数检验比较受伤/未受伤士兵之间的情况。使用卡方检验和/或逻辑回归分析来检验各种预测因素与损伤之间的关联。与未受伤士兵相比，受伤士兵的体脂百分比[%BF]更高（p = 0.04），左右腿SLTH的距离更短（分别为p = 0.029、p = 0.047），2公里跑速度更慢（p = 0.044）。两组在FMS总分上没有差异，然而，受伤组在一个或多个动作模式中出现更多零分（51.35%对30.5%，p = 0.0293）。只有%BF、2公里跑和SLTH距离是损伤的显著预测因素（分别为p = 0.05、p = 0.02、p = 0.016）。本研究结果表明，FMS总分不是CFIC中女兵损伤的预测因素。我们发现%BF、SLTH、2公里跑时间、10米短跑时间和零分在受伤和未受伤士兵之间存在差异。此外，%BF、2公里跑和SLTH均被发现是损伤的独立预测因素。需要进一步研究以确定预测损伤的阈值分数。关键点在为期三个月的女兵战斗体能教官课程中，共报告了145起损伤，其中37起损伤导致至少两天未参加训练。FMS总分不是CFIC中女兵损伤的预测因素。然而，零分表明运动时疼痛，可作为潜在损伤的警示信号。%BF、SLTH、10米短跑、2公里跑和FMS中的零分数量似乎可以区分受伤和未受伤士兵。SLTH、2公里跑和体脂百分比分别是CFIC中女兵损伤的独立预测因素。
