韩国男大学生足球运动员静息能量消耗预测与实测的比较。

Physical activity and nutrition Pub Date : 2022-09-01 Epub Date: 2022-09-30 DOI:10.20463/pan.2022.0015
Sihyung Lee, Kuniko Moto, Taewoong Oh, Motoko Taguchi
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引用次数: 1

摘要

目的:本研究旨在评估使用无脂质量(FFM)预测方程预测的韩国男性大学足球运动员的静息能量消耗(REE)与测量的REE之间的差异。方法:选取15名18-21岁的男大学生足球运动员为研究对象。稀土元素测量采用道格拉斯袋法。采用双能x线吸收仪(DXA)测定体成分。利用5个基于ffm的REE方程,采用t检验、误差计算、回归分析和Bland-Altman方法分析实测REE与预测REE之间的差异。结果:Cunningham(1980)和Haaf and Weijs(2014)的方程显著高估了稀土元素(1808±99 kcal/d)。结论:田口方程可用于预测韩国大学生足球运动员稀土元素。ree预测方程的选择过程必须考虑目标群体的特征。建议未来的研究来评估不同的基于ffm的ree预测方程在不同的韩国运动员中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comparison between predicted and measured resting energy expenditures in Korean male collegiate soccer players.

Comparison between predicted and measured resting energy expenditures in Korean male collegiate soccer players.

Comparison between predicted and measured resting energy expenditures in Korean male collegiate soccer players.

Comparison between predicted and measured resting energy expenditures in Korean male collegiate soccer players.

Purpose: This study aimed to evaluate the differences between predicted resting energy expenditure (REE), using fat-free mass (FFM)-based prediction equations, and measured REE in Korean male collegiate soccer players.

Methods: Fifteen male collegiate soccer players (18-21 years) participated in this study. The REE measurements were conducted using the Douglas bag method. Body composition was measured by dual-energy X-ray absorptiometry (DXA). The differences between the measured REE and predicted REE, using the five FFM-based REE equations, were analyzed using the t-test, calculation of errors, regression analysis, and the Bland-Altman method.

Results: The Cunningham (1980) and ten Haaf and Weijs (2014) equations showed significantly overestimated REE (1,808 ± 99 kcal/d, p <0.01; 1,838 ± 103 kcal/d, p <0.01; respectively), but the Owen (1988), Taguchi (2011), and Kim (2015) equations' estimations were not significantly different from the measured REE (1,589 ± 106 kcal/d, 1,640 ± 124 kcal/d, and 1,622 ± 68 kcal/d, respectively). The Taguchi equation gave the best prediction of REE with the lowest constant error (-6 ± 125) and effect size (-0.05), and a non-significant proportional bias (p = 0.95).

Conclusion: The Taguchi equation is recommended for predicting REE in Korean collegiate soccer players. The selection process of a REE-prediction equation must take into consideration the target population's characteristics. Future studies are recommended to evaluate the validity of the different FFM-based REE-prediction equations in various Korean athletes.

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