Havenetidis Konstantinos, Paxinos Thrasivoulos, Kardaris Dionysios, Bissas Athanassios
a Human Performance-Rehabilitation Laboratory, Faculty of Physical & Cultural Education , Hellenic Army Academy , Vari , Attiki , Greece.
b Carnegie School of Sport , Leeds Beckett University , Leeds , West Yorkshire , UK.
Phys Sportsmed. 2017 May;45(2):114-119. doi: 10.1080/00913847.2017.1298977. Epub 2017 Mar 13.
High values in most of the body composition indices have been related to musculoskeletal injuries, but limited data exists on the accuracy of these diagnoses when detecting musculoskeletal injuries in military populations.
The suitability of body fat percentage, body mass index, fat mass index and fat free mass index to identify injury risk was examined in a group of army officer recruits. All body composition diagnoses were measured in 268 male army officer recruits prior to the commencement of basic combat training. Musculoskeletal injury was identified using codes from the International Classification of Diseases. The area under the curve, in the receiver operating characteristic curve, was used to quantify the overall ability to discriminate between those who were injured and those who were not.
The statistics indicated that all indices, apart from body mass index, had a significant possibility to detect musculoskeletal injury potential (p < 0.05; 61%-63%). The respective cut-off points used to classify individuals as injured were for body fat percentage >22, for fat mass index >6.5 and for fat free mass index <16.5.
Body mass index values can not similarly detect the possibility of occurrence of musculoskeletal injuries in army officer recruits, just as other body composition diagnoses related to fat mass or/and free fat mass. However, the cut off-points related to the overall diagnostic performance of each body composition index should be used with caution and in accordance with the aims of each experimental setting.
大多数身体成分指标的高值与肌肉骨骼损伤有关，但在检测军事人群的肌肉骨骼损伤时，关于这些诊断准确性的数据有限。
在一组陆军军官新兵中，研究了体脂百分比、体重指数、脂肪量指数和去脂体重指数识别损伤风险的适用性。在268名男性陆军军官新兵开始基础战斗训练之前，测量了所有身体成分诊断指标。使用国际疾病分类代码识别肌肉骨骼损伤。采用受试者工作特征曲线下面积来量化区分受伤者和未受伤者的总体能力。
统计数据表明，除体重指数外，所有指标都有显著可能检测出肌肉骨骼损伤潜力（p < 0.05；61%-63%）。将个体分类为受伤的各自临界点为：体脂百分比>22，脂肪量指数>6.5，去脂体重指数<16.5。
体重指数值与其他与脂肪量或/和去脂体重相关的身体成分诊断不同，不能同样检测出陆军军官新兵发生肌肉骨骼损伤的可能性。然而，与每个身体成分指标的总体诊断性能相关的临界点应谨慎使用，并根据每个实验设置的目的来使用。
