代谢适应因不同的预测方程而波动:基于减肥临床试验的二次分析
Molian Tang1,2, Jialu Wang1, Yi Xiang3
1Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Frontiers in nutrition
|September 15, 2025
概括
减肥期间的代谢适应是复杂的. 这项研究表明,保持无脂肪质量 (FFM) 对于维持休息代谢率 (RMR) 和防止代谢适应至关重要.
科学领域:
- 代谢适应和体重管理
- 机体组成和能源支出.
背景情况:
- 代谢适应 (MA) 在减肥管理中发挥作用.
- 区分真正的MA和无脂肪质量 (FFM) 在休息代谢率 (RMR) 降低中的损失是不清楚的.
研究的目的:
- 重新分析体重减轻试验的数据,以区分MA和FFM减轻.
- 用不同的预测方程来评估RMR和调整RMR (aRMR) 的变化.
主要方法:
- 利用了131名超重/肥胖患者在16周的减肥干预中获得的数据.
- 采用线性混合模型来评估RMR和aRMR的变化,根据各种生理和生活方式因素进行调整.
- 对 aRMR 计算进行卡奇-麦克阿德尔和 BIA 确定方程的比较.
主要成果:
- 观察到体重,BMI,脂肪质量 (FM) 和FFM显著减少.
- 卡奇-麦克阿德尔和BIA方法都显示RMR减少.
- 卡奇-麦克阿德尔aRMR显著增加,而BIA aRMR在第12周显著下降.
结论:
- 在MA发现的差异可能源于不同的预测方程使用.
- 在减肥期间保持FFM对于减轻RMR减少至关重要.
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