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国际足球运动员去脂体重的测量方法。

Field Methods to Estimate Fat-free Mass in International Soccer Players.

机构信息

University of Pablo de Olavide, Physical Performance & Sports Research, Seville, Spain.

Experimental and Clinic Medicine, University of Florence, Florence, Italy.

出版信息

Int J Sports Med. 2019 Sep;40(10):619-624. doi: 10.1055/a-0969-8591. Epub 2019 Jul 31.

Abstract

Based on the high financial and logistical costs associated with the assessment of body composition with dual-energy X-ray absorptiometry (DXA), this study determined which field method has the best correlation with DXA data, and developed an equation to estimate fat-free mass (FFM) using the field anthropometric data in international soccer players. A total of 17 international soccer players participated in this study. DXA values provided a criterion measure of FFM. Correlation coefficients, biases, limits of agreement, and differences were used as validity measures, and regression analyses were used to develop the prediction equation. All field methods used to obtain FFM data showed positive correlations (r from 0.90-0.96) with DXA. Only the equation developed by Deurenberg et al. [6] showed no differences from DXA with a low bias. The main strength of this study was providing a valid and accurate equation to estimate FFM specifically in international soccer players.

摘要

基于双能 X 射线吸收法(DXA)评估人体成分所涉及的高昂财务和后勤成本,本研究旨在确定哪种现场方法与 DXA 数据具有最佳相关性,并为国际足球运动员制定一种使用现场人体测量数据估算去脂体重(FFM)的方程。共有 17 名国际足球运动员参与了这项研究。DXA 值提供了 FFM 的标准测量值。相关系数、偏差、协议范围和差异被用作有效性测量指标,回归分析用于开发预测方程。所有用于获取 FFM 数据的现场方法均与 DXA 呈正相关(r 值为 0.90-0.96)。只有 Deurenberg 等人[6]开发的方程显示出与 DXA 无差异,偏差较小。本研究的主要优势在于为国际足球运动员提供了一种有效且准确的 FFM 估算方程。

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