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通过分段生物电阻抗分析确定的四种球类运动中肌肉体积分布的运动间变异性。

Inter-sport variability of muscle volume distribution identified by segmental bioelectrical impedance analysis in four ball sports.

作者信息

Yamada Yosuke, Masuo Yoshihisa, Nakamura Eitaro, Oda Shingo

机构信息

Laboratory of Sports and Health Science, Kyoto Prefectural University of Medicine, Kyoto, Japan ; Japan Society for the Promotion of Science, Tokyo, Japan.

Waseda University Research Institute for Elderly Health, Saitama, Japan.

出版信息

Open Access J Sports Med. 2013 Apr 12;4:97-108. doi: 10.2147/OAJSM.S43512. eCollection 2013.

Abstract

The aim of this study was to evaluate and quantify differences in muscle distribution in athletes of various ball sports using segmental bioelectrical impedance analysis (SBIA). Participants were 115 male collegiate athletes from four ball sports (baseball, soccer, tennis, and lacrosse). Percent body fat (%BF) and lean body mass were measured, and SBIA was used to measure segmental muscle volume (MV) in bilateral upper arms, forearms, thighs, and lower legs. We calculated the MV ratios of dominant to nondominant, proximal to distal, and upper to lower limbs. The measurements consisted of a total of 31 variables. Cluster and factor analyses were applied to identify redundant variables. The muscle distribution was significantly different among groups, but the %BF was not. The classification procedures of the discriminant analysis could correctly distinguish 84.3% of the athletes. These results suggest that collegiate ball game athletes have adapted their physique to their sport movements very well, and the SBIA, which is an affordable, noninvasive, easy-to-operate, and fast alternative method in the field, can distinguish ball game athletes according to their specific muscle distribution within a 5-minute measurement. The SBIA could be a useful, affordable, and fast tool for identifying talents for specific sports.

摘要

本研究的目的是使用节段生物电阻抗分析(SBIA)评估和量化各类球类运动运动员肌肉分布的差异。研究对象为来自四项球类运动(棒球、足球、网球和长曲棍球)的115名男性大学生运动员。测量了体脂百分比(%BF)和瘦体重,并使用SBIA测量双侧上臂、前臂、大腿和小腿的节段肌肉体积(MV)。我们计算了优势侧与非优势侧、近端与远端以及上肢与下肢的MV比率。测量总共包含31个变量。应用聚类分析和因子分析来识别冗余变量。各组之间的肌肉分布存在显著差异,但%BF没有差异。判别分析的分类程序能够正确区分84.3%的运动员。这些结果表明,大学生球类运动运动员已经很好地使自己的体格适应了运动动作,并且SBIA作为一种经济实惠、无创、易于操作且快速的现场替代方法,能够在5分钟的测量时间内根据运动员特定的肌肉分布来区分球类运动运动员。SBIA可能是一种用于识别特定运动人才的有用、经济且快速的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f00/3871051/10aa24271210/oajsm-4-097Fig1.jpg

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