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通过生物电阻抗分析评估足球运动员肌肉质量的新参数提案。

Proposal of a New Parameter for Evaluating Muscle Mass in Footballers through Bioimpedance Analysis.

作者信息

Levi Micheli Matteo, Cannataro Roberto, Gulisano Massimo, Mascherini Gabriele

机构信息

Exercise Science Laboratory Applied to Medicine "Mario Marella", Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy.

Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.

出版信息

Biology (Basel). 2022 Aug 6;11(8):1182. doi: 10.3390/biology11081182.

Abstract

The evaluation of muscle mass in athletes correlates with sports performance directly. Bioimpedance vector analysis is a growing method of assessing body composition in athletes because it is independent of predictive formulas containing variables such as body weight, ethnicity, age, and sex. The study aims to propose a new parameter (Levi’s Muscle Index, LMI) that evaluates muscle mass through raw bioelectrical data. A total of 664 male footballers underwent bioimpedance assessment during the regular season. LMI was correlated with body cell mass (BCM) and phase angle (PA) to establish efficacy. The footballers were 24.5 ± 5.8 years old, 180.7 ± 5.9 cm tall and weighed 76.3 ± 7.1 kg. The relationships were: LMI-BMI: r = 0.908, r2 = 0.824, p < 0.001; LMI-PA: r = 0.704, r2 = 0.495, p = 0.009 and PA-BCM: r = 0.491, r2 = 0.241, p < 0.001. The results obtained confirm that LMI could be considered a new parameter that provides reliable information to evaluate the muscle mass of athletes. Furthermore, the higher LMI-BCM relationship than PA-BCM demonstrates specificity for muscle mass evaluation in athletes regardless of body weight, ethnicity, age, and sex.

摘要

运动员肌肉量的评估与运动表现直接相关。生物电阻抗矢量分析是一种在运动员中日益流行的身体成分评估方法,因为它不依赖于包含体重、种族、年龄和性别等变量的预测公式。本研究旨在提出一种通过原始生物电数据评估肌肉量的新参数(利维肌肉指数,LMI)。共有664名男性足球运动员在常规赛期间接受了生物电阻抗评估。将LMI与身体细胞质量(BCM)和相位角(PA)相关联以确定其有效性。这些足球运动员的年龄为24.5±5.8岁,身高180.7±5.9厘米,体重76.3±7.1千克。相关性如下:LMI与体重指数(BMI):r = 0.908,r² = 0.824,p < 0.001;LMI与PA:r = 0.704,r² = 0.495,p = 0.009;PA与BCM:r = 0.491,r² = 0.241,p < 0.001。所得结果证实,LMI可被视为一个能为评估运动员肌肉量提供可靠信息的新参数。此外,LMI与BCM的关系高于PA与BCM的关系,这表明LMI在评估运动员肌肉量方面具有特异性,不受体重、种族、年龄和性别的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fca0/9405331/b2229908a1ea/biology-11-01182-g001.jpg

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