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Anthropometrical and Physical Fitness Predictors of Operational Military Test Performance in Air Force Personnel

机译:空军人员运营军事考试性能的人培素体育与体质预测因素

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International Journal of Exercise Science 13(4): 1028-1040, 2020. The objective of this study was to verify the relationships between the anthropometrical and physical fitness parameters (measured by the Physical Conditioning Assessment (PCA) of the Aeronautics Command), with the operational performance in the simulated military task performance (SMTP) performed by the infantry military of a Brazilian Air Force (BAF) unit. These evaluations were performed on two distinct days, interspersed by 48h, with PCA on the first day and the SMTP in the second. The distribution of the dependent variable was not normal (Shapiro-Wilk test, p = 0.001). Data are presented as mean and standard deviation, median and interquartile, for variables normally and non-normally distributed, respectively. The correlation between variables was determined using the Spearman’s correlation coefficient. A regression model to predict performance in the SMTP, based on the anthropometrical, physiological and performance variables, was performed. The significance level was set at 5%. Based on the results, there was an association between all the PCA and SMTP variables: weight, lean body mass, trunk flexion, and estimated VO2max based on the distance covered in the 12-minute test. The following equation was generated: SMTP (s) = 350.611 – 1.556 (fat-free mass, in kg) – 0.34 (12-min running distance, in m) – 0.632 (sit-up, in repetitions). The explained variance of the SMTP was 72.3% with an estimated standard error of 3.6s. It was observed that, although the association was diagnosed in some variables, there is a need to analyze possibilities for improvement in the selection of physical fitness tests that are closer to operationality in BAF Infantry military personnel.
机译:国际运动科学杂志13(4):1028-1040,2020。本研究的目的是验证人类计量和物理健康参数之间的关系(通过航空指挥的物理调理评估(PCA)测量),有由巴西空军(BAF)单位的步兵军队执行的模拟军事任务绩效(SMTP)中的运作绩效。这些评估是在两个明显的日子中进行,在第一次与PCA和第二次SMTP中交流48h。依赖变量的分布不正常(Shapiro-wilk测试,p = 0.001)。数据分别显示为平均值和标准偏差,中位数和句子,分别是通常和非正常分布的变量。使用Spearman的相关系数确定变量之间的相关性。进行回归模型,以预测SMTP在SMTP中的性能,基于人类计量,生理和性能变量。显着性水平设定为5%。根据结果​​,所有PCA和SMTP变量之间存在关联:重量,瘦体重,树干屈曲和基于12分钟测试中覆盖的距离的估计VO2MAX。产生了以下等式:SMTP(S)= 350.611-1.556(无脂肪质量,kg) - 0.34(12分钟运行距离,m) - 0.632(仰卧起到,重复坐下)。 SMTP的解释方差为72.3%,估计标准误差为3.6s。观察到,尽管在一些变量中诊断出结合,但需要分析改善的可能性,以便在BAF步兵军事人员中更接近运营的身体健康测试。

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