首页> 外文期刊>Military Medicine: Official Journal of AMSUS, The Society of the Federal Health Agencies >Prediction of simulated battlefield physical performance from field-expedient tests.
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Prediction of simulated battlefield physical performance from field-expedient tests.

机译:通过野外方便的测试预测模拟战场的物理性能。

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摘要

Predictive models of battlefield physical performance can benefit the military. To develop models, 32 physically trained men (mean +/- SD: 28.0 +/- 4.7 years, 82.1 +/- 11.3 kg, 176.3 +/- 7.5 cm) underwent (1) anthropometric measures: height and body mass; (2) fitness tests: push-ups, sit-ups, 3.2-km run, vertical jump, horizontal jump; (3) simulated battlefield physical performance in fighting load: five 30-m sprints prone to prone, 400-m run, obstacle course, and casualty recovery. Although greater body mass was positively associated with better casualty recovery performance, it showed trends toward poorer performance on all the other fitness and military performance tests. Regression equations well predicted the simulated battlefield performance from the anthropometric measures and physical fitness tests (r = 0.77-0.82). The vertical jump entered all four prediction equations and the horizontal jump entered one of them. The equations, using input from easy to administer tests, effectively predict simulated battlefield physical performance.
机译:战场物理性能的预测模型可以使军队受益。为了建立模型,对32名经过身体训练的男人(平均+/- SD:28.0 +/- 4.7岁,82.1 +/- 11.3 kg,176.3 +/- 7.5 cm)进行了以下研究:(1)人体测量:身高和体重; (2)体能测试:俯卧撑,仰卧起坐,3.2公里跑步,垂直跳,水平跳; (3)模拟战场在战斗负荷下的物理性能:五个俯卧30米的短跑,400米跑,障碍航向和伤亡恢复。尽管更大的体重与更好的人员伤亡恢复表现成正相关,但在所有其他健身和军事表现测试中,表现出表现较差的趋势。回归方程可以通过人体测量和身体适应性测试很好地预测了模拟战场的表现(r = 0.77-0.82)。垂直跳变进入所有四个预测方程,水平跳变进入其中之一。这些方程式使用易于执行的测试输入,可以有效地预测模拟战场的物理性能。

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