Military Nutrition Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, USA.
Mil Med. 2022 Oct 29;187(11-12):1381-1388. doi: 10.1093/milmed/usab315.
Anthropometrics and body composition characteristics differentiate many types of athletes and are related to performance on fitness tests and tasks in military personnel. Soldiers competing to enter elite units must demonstrate physical fitness and operational competence across multiple events. Therefore, this study determined whether anthropometrics and body composition predicted physical performance and selection for special forces training among soldiers attending the rigorous Special Forces Assessment and Selection (SFAS) course.
Soldiers attending the SFAS course between May 2015 and March 2017 were enrolled in a longitudinal, observational study. Anthropometrics (height, body mass, and body mass index [BMI]; n = 795) and body composition measured by dual-energy X-ray absorptiometry (percentage body fat, fat mass, lean mass, bone mineral content [BMC], and bone mineral density [BMD]; n = 117) were assessed before the course start. Associations with physical performance were determined with correlation coefficients. Associations with selection were determined with analyses of variance and t-tests; effect sizes were calculated as Cohen's d. The U.S. Army Research Institute of Environmental Medicine Institutional Review Board (IRB) initially approved this study, and the U.S. Army Medical Research and Development Command IRB approved the continuing review.
Lower percentage body fat and fat mass predicted better performance on all assessments: Army Physical Fitness Test (APFT), pull-ups, SFAS run, loaded road march, obstacle course, and land navigation (P ≤ .05). Higher lean mass predicted better performance on the loaded road march (P ≤ .05). Lower body mass and BMI predicted better performance on APFT, pull-ups, run, and obstacle course; higher body mass and BMI predicted better performance on the loaded road march (P ≤ .05). Shorter stature predicted better performance on push-ups (APFT) and pull-ups; taller stature predicted better performance on SFAS run and loaded road march (P ≤ .05). On average, the selected soldiers were taller (179.0 ± 6.6 vs. 176.7 ± 6.7 cm), had higher body mass (85.8 ± 8.8 vs. 82.1 ± 9.6 kg), BMI (26.8 ± 2.2 vs. 26.3 ± 2.6 kg/m2), lean mass (67.2 ± 7.3 vs. 61.9 ± 7.6 kg), BMC (3.47 ± 0.40 vs. 3.29 ± 0.56 kg), and BMD (1.34 ± 0.10 vs. 1.28 ± 0.10 g/cm2), and lower percentage body fat (17.3 ± 3.4 vs. 20.1 ± 4.5%) and fat mass (14.2 ± 3.7 vs. 15.8 ± 4.4 kg) (P ≤ .05). Effect sizes were largest for lean mass (Cohen's d = 0.71) and percentage body fat (d = 0.70), followed by BMD (d = 0.60), body mass (d = 0.40), fat mass (d = 0.39), BMC (d = 0.37), height (d = 0.35), and BMI (d = 0.21). Body mass adjustment attenuated associations between height and selection.
Anthropometrics and body composition are predictors of physical performance and SFAS success. Since these measures are modifiable (excluding height), they may be the focus of intervention studies aiming to improve performance in arduous military training courses, sports that require competition in multiple events, and occupations that have varied physical demands, such as firefighting, law enforcement, and construction.
人体测量学和身体成分特征区分了许多类型的运动员,与军人的健身测试和任务表现相关。竞争进入精英部队的士兵必须在多个项目中展示身体素质和操作能力。因此,本研究旨在确定人体测量学和身体成分是否可以预测士兵参加严格的特种部队评估和选拔(SFAS)课程的身体表现和选拔。
2015 年 5 月至 2017 年 3 月期间参加 SFAS 课程的士兵被纳入一项纵向观察研究。在课程开始前评估了 795 名士兵的人体测量学(身高、体重和体重指数[BMI])和通过双能 X 射线吸收法测量的身体成分(体脂百分比、体脂量、瘦体重、骨矿物质含量[BMC]和骨密度[BMD])(n=117)。使用相关系数确定与身体表现的相关性。使用方差分析和 t 检验确定与选拔的相关性;计算效应大小作为 Cohen's d。美国陆军研究所在环境医学机构审查委员会(IRB)最初批准了这项研究,美国陆军医疗研究与发展司令部 IRB 批准了持续审查。
较低的体脂百分比和体脂量预测所有评估的表现更好:陆军体能测试(APFT)、引体向上、SFAS 跑步、负重行军、障碍课程和陆地导航(P≤.05)。较高的瘦体重预测负重行军表现更好(P≤.05)。较低的体重和 BMI 预测 APFT、引体向上、跑步和障碍课程表现更好;较高的体重和 BMI 预测负重行军表现更好(P≤.05)。较短的身高预测俯卧撑(APFT)和引体向上表现更好;较高的身高预测 SFAS 跑步和负重行军表现更好(P≤.05)。平均而言,入选的士兵身高较高(179.0±6.6 厘米与 176.7±6.7 厘米),体重较大(85.8±8.8 千克与 82.1±9.6 千克),BMI(26.8±2.2 千克/平方米与 26.3±2.6 千克/平方米),瘦体重(67.2±7.3 千克与 61.9±7.6 千克),BMC(3.47±0.40 千克与 3.29±0.56 千克),BMD(1.34±0.10 克/厘米 2 与 1.28±0.10 克/厘米 2),体脂百分比较低(17.3±3.4%与 20.1±4.5%)和体脂量较低(14.2±3.7 千克与 15.8±4.4 千克)(P≤.05)。效应大小最大的是瘦体重(Cohen's d=0.71)和体脂百分比(d=0.70),其次是 BMD(d=0.60)、体重(d=0.40)、体脂量(d=0.39)、BMC(d=0.37)、身高(d=0.35)和 BMI(d=0.21)。体重调整减弱了身高与选拔之间的相关性。
人体测量学和身体成分是身体表现和 SFAS 成功的预测因素。由于这些措施是可改变的(排除身高),它们可能是干预研究的重点,旨在提高艰苦军事训练课程、需要在多个项目中竞争的运动以及需要不同身体需求的职业(如消防、执法和建筑)的表现。