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预测军事人群损伤风险的运动测试的应用:标准数据的制定。

Application of Athletic Movement Tests that Predict Injury Risk in a Military Population: Development of Normative Data.

作者信息

Teyhen Deydre S, Shaffer Scott W, Butler Robert J, Goffar Stephen L, Kiesel Kyle B, Rhon Daniel I, Boyles Robert E, McMillian Daniel J, Williamson Jared N, Plisky Phillip J

机构信息

Doctoral Program in Physical Therapy, US Army-Baylor University, ATTN: MCCS-HMT, 3151 Scott Road, Suite 1301, Fort Sam Houston, TX 78234-7579.

Doctor of Physical Therapy Program, Duke University, Duke University Medical Center, Durham, NC 27708.

出版信息

Mil Med. 2016 Oct;181(10):1324-1334. doi: 10.7205/MILMED-D-15-00297.

DOI:10.7205/MILMED-D-15-00297
PMID:27753571
Abstract

UNLABELLED

Performance on movement tests helps to predict injury risk in a variety of physically active populations. Understanding baseline measures for normal is an important first step.

OBJECTIVES

Determine differences in physical performance assessments and describe normative values for these tests based on military unit type.

METHODS

Assessment of power, balance, mobility, motor control, and performance on the Army Physical Fitness Test were assessed in a cohort of 1,466 soldiers. Analysis of variance was performed to compare the results based on military unit type (Rangers, Combat, Combat Service, and Combat Service Support) and analysis of covariance was performed to determine the influence of age and gender.

RESULTS

Rangers performed the best on all performance and fitness measures (p < 0.05). Combat soldiers performed better than Combat Service and Service Support soldiers on several physical performance tests and the Army Physical Fitness Test (p < 0.05). Performance in Combat Service and Service Support soldiers was equivalent on most measures (p < 0.05).

CONCLUSIONS

Functional performance and level of fitness varied significantly by military unit type. Understanding these differences will provide a foundation for future injury prediction and prevention strategies.

摘要

未标注

运动测试表现有助于预测各类体育活动人群的受伤风险。了解正常的基线测量值是重要的第一步。

目的

确定体能评估的差异,并根据军事单位类型描述这些测试的标准值。

方法

对1466名士兵进行了力量、平衡、灵活性、运动控制以及陆军体能测试表现的评估。基于军事单位类型(游骑兵、战斗部队、战斗勤务部队和战斗勤务支援部队)进行方差分析以比较结果,并进行协方差分析以确定年龄和性别的影响。

结果

游骑兵在所有表现和体能指标上表现最佳(p < 0.05)。在多项体能测试和陆军体能测试中,战斗部队士兵比战斗勤务部队和勤务支援部队士兵表现更好(p < 0.05)。战斗勤务部队和勤务支援部队士兵在大多数指标上表现相当(p < 0.05)。

结论

功能表现和体能水平因军事单位类型而异。了解这些差异将为未来的受伤预测和预防策略提供基础。

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