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[基于预测方程的不同体力活动水平的运动员的基础代谢率的比较评估]
R M Radjabkadiev1, K V Vybornaya1, A I Sokolov1
1Federal Research Centre for Nutrition, Biotechnology and Food Safety, 109240, Moscow, Russian Federation.
Voprosy pitaniia
|November 20, 2024
概括
精英运动员的基础代谢率 (BMR) 的预测方程显示出显著的差异. 建议使用考虑瘦身量 (LBM) 的方程或生物阻抗分析仪来准确评估能源消耗.
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:
- 评估运动员的能量消耗对于饮食和恢复计划至关重要.
- 评估能源消耗的实验室方法在日常体育活动中通常是不切实际的.
- 预测方程对于估计能源支出至关重要,当直接测量是不可行的.
研究的目的:
- 为了比较来自各种预测方程的精英运动员的基础代谢率 (BMR) 值.
- 评估不同公式在估计运动员的BMR和瘦体质量 (LBM) 中的准确性.
主要方法:
- 分析了180名俄罗斯精英运动员 (107名男性,73名女性) 在四项体育运动中的数据.
- 使用InBody 720生物阻抗分析仪 (卡奇-麦克阿德尔公式) 测量BMR.
- 使用Mifflin-St Jeor,Cunningham,De Lorenzo和Harris-Benedict方程计算了BMR. 这些方程中,每一个方程都包含一个指数.
- 使用InBody 720分析仪确定LBM,并通过Boer,Hume和James方程计算.
主要成果:
- 卡奇-麦克阿德尔方程产生了最低的BMR值. 德洛伦佐 (男性) 和米夫林-圣杰尔 (女性) 方程产生了最高的BMR值,与其他方程相比有显著差异 (3.9-30.8%).
- 坎宁汉公式显示的BMR明显高于卡奇-麦克阿德尔 (约. 男性180卡路里,女性160卡路里).
- 与布尔,詹姆斯和InBody 720分析仪相比,休姆方程显著低估了男性的LBM. 在女性中,InBody 720产生的LBM值最低.
结论:
- 在精英运动员中,BMR的预测方程可以产生不同性别的3.9-30.8%的结果.
- 建议将瘦体质 (LBM) 或生物阻抗分析纳入等式,以更准确地评估运动员的BMR.
- 在没有身体组成分析的情况下使用预测方程时,要认识到测量和计算的BMR值之间的潜在差异.
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