运动员休息代谢率预测方程的准确性:通过元分析进行系统审查
Jack Eoin Rua O'Neill1, Clare A Corish2, Katy Horner3
1Institute for Sport and Health and School of Public Health, Physiotherapy and Sport Science, University College Dublin, Belfield, Dublin 4, Ireland. jack.o-neill.1@ucdconnect.ie.
Sports medicine (Auckland, N.Z.)
|August 26, 2023
概括
十半方程是预测运动员休息代谢率 (RMR) 的最准确和精确方法. 避免表现不佳的方程,并根据人口特征进行选择以获得最佳结果.
科学领域:
- 运动科学 运动科学 运动科学
- 人体生理学 人体生理学
- 营养科学 营养科学
背景情况:
- 休息代谢率 (RMR) 预测方程广泛用于运动员.
- 这些方程的准确性和精度可以显著变化.
- 进行了系统性审查和元分析,以确定运动员最可靠的RMR预测方程.
研究的目的:
- 系统地审查和元分析运动员的RMR预测方程.
- 为了确定最准确的方程 (预测与测量的RMR).
- 确定最精确的方程 (测量RMR的10%内的百分比).
主要方法:
- 在主要的科学数据库 (PubMed,CINAHL,SPORTDiscus,Embase,Web of Science) 进行系统搜索,截至2021年11月.
- 包括随机对照试验和观察性研究,将测量RMR (间接热量计) 与成年运动员预测的RMR进行比较.
- 叙事综合和随机效应的元分析,以及探索异质性的子组分析.
主要成果:
- 在29项研究中评估了100个RMR预测方程,共有1430名参与者.
- 五个方程与测量RMR没有显著差异;十半的异质性最小 (I2=0%).
- 十半方程表现出最高的精度,80.2%的参与者在测量RMR的±10%以内.
结论:
- 建议使用十半方程 (利用年龄,体重和身高) 作为最准确和精确的方法来预测大多数运动员群体的RMR.
- 某些方程始终表现不佳,应该避免使用.
- 选择与运动员群体的特定特征 (如性别,运动,地位) 相匹配的方程对于最佳结果至关重要.
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