Nagai Takashi, Lovalekar Mita, Wohleber Meleesa F, Perlsweig Katherine A, Wirt Michael D, Beals Kim
Warrior Human Performance Research Center & Neuromuscular Research Laboratory, Department of Sports Medicine and Nutrition, School of Health and Rehabilitation Sciences, University of Pittsburgh, USA.
Warrior Human Performance Research Center & Neuromuscular Research Laboratory, Department of Sports Medicine and Nutrition, School of Health and Rehabilitation Sciences, University of Pittsburgh, USA.
J Sci Med Sport. 2017 Nov;20 Suppl 4:S11-S16. doi: 10.1016/j.jsams.2017.10.023. Epub 2017 Oct 24.
Musculoskeletal injuries have negatively impacted tactical readiness. The identification of prospective and modifiable risk factors of preventable musculoskeletal injuries can guide specific injury prevention strategies for Soldiers and health care providers.
To analyze physiological and neuromuscular characteristics as predictors of preventable musculoskeletal injuries.
Prospective-cohort study.
A total of 491 Soldiers were enrolled and participated in the baseline laboratory testing, including body composition, aerobic capacity, anaerobic power/capacity, muscular strength, flexibility, static balance, and landing biomechanics. After reviewing their medical charts, 275 male Soldiers who met the criteria were divided into two groups: with injuries (INJ) and no injuries (NOI). Simple and multiple logistic regression analyses were used to calculate the odds ratio (OR) and significant predictors of musculoskeletal injuries (p<0.05).
The final multiple logistic regression model included the static balance with eyes-closed and peak anaerobic power as predictors of future injuries (p<0.001).
The current results highlighted the importance of anaerobic power/capacity and static balance. High intensity training and balance exercise should be incorporated in their physical training as countermeasures.
肌肉骨骼损伤对战术准备产生了负面影响。识别可预防的肌肉骨骼损伤的前瞻性和可改变风险因素可为士兵和医护人员指导具体的损伤预防策略。
分析生理和神经肌肉特征作为可预防肌肉骨骼损伤的预测指标。
前瞻性队列研究。
共招募491名士兵并参与基线实验室测试,包括身体成分、有氧能力、无氧功率/能力、肌肉力量、柔韧性、静态平衡和落地生物力学。在查阅他们的病历后,将符合标准的275名男性士兵分为两组:受伤组(INJ)和未受伤组(NOI)。采用简单和多元逻辑回归分析计算比值比(OR)和肌肉骨骼损伤的显著预测指标(p<0.05)。
最终的多元逻辑回归模型包括闭眼静态平衡和峰值无氧功率作为未来损伤的预测指标(p<0.001)。
当前结果突出了无氧功率/能力和静态平衡的重要性。高强度训练和平衡训练应纳入他们的体能训练中作为应对措施。