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Examination of the Effectiveness of Predictors for Musculoskeletal Injuries in Female Soldiers

机译:检查女兵肌肉骨骼损伤预测因子的有效性

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摘要

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 injuredon-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 points class="unordered" style="list-style-type:disc">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 soldiersSLTH, 2K run and body fat % are each separate predictors of injury for female soldiers in the CFIC
机译:军事训练期间因受伤而损失的训练天数突显了需要确定一种预测伤害的检查工具。以色列国防军作战健身教练课程(CFIC)的158名女兵自愿参加了这项研究。在研究前至少一个月,所有士兵都没有骨科和神经系统疾病。在课程的第一周,所有参与者进行了一系列的测量。措施包括人体测量,功能运动屏幕(FMS),力量表现(反运动跳跃[CMJ],摔落跳跃,单腿三跳跳跃[SLTH],10米短跑)和2K跑步。在整个3个月的课程中收集了受伤数据。中位数测试用于比较受伤/未受伤的士兵。卡方和/或逻辑回归分析用于检查各种预测因素与损伤之间的关联。与受伤相比,受伤的身体脂肪百分比[%BF]更高(p = 0.04),左腿和右腿的SLTH距离都更短(分别为p = 0.029,p = 0.047)和2K跑步速度较慢(p = 0.044)。未受伤的士兵。 FMS的总得分之间没有差异,但是在受伤组中,一种或多种运动方式的零得分更高(51.35%vs. 30.5%p = 0.0293)。只有%BF,2K行程和SLTH距离是损伤的重要预测因子(分别为p = 0.05,p = 0.02,p = 0.016)。这项研究的结果表明,FMS总分不能预测CFIC中女兵受伤的情况。我们发现%BF,SLTH,2K运行时间,10米短跑时间和零得分在受伤和未受伤的士兵之间有所区别。此外,%BF,2K跑步和SLTH分别是伤害的单独预测因子。要确定预测伤害的阈值得分,还需要进行进一步的研究。要点 class =“ unordered” style =“ list-style-type:disc”> <!-list-behavior = unordered prefix-word = mark-type = disc max-label-size = 0-> 在为期三个月的女兵作战健身教练课程中,总共报告了145例伤害,其中37例是由于至少经过两天的训练而缺席的。 / li> FMS总分不能预测CFIC中女兵受伤的情况。但是,零分表示运动中的疼痛,可能表示潜在的伤害。 %BF,SLTH,10米短跑,2K跑和FMS中的零分数量似乎可以区分受伤和未受伤的士兵 SLTH,2K跑步和体脂%分别是CFIC中女兵受伤的单独预测因素

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