在需要护理的老年人中,使用前臂周长计算尾肌瘦质量的估计公式的开发
Daisuke Takagi1, Masatoshi Kageyama2,3
1Department of Shizuoka Physical Therapy, Faculty of Health Science, Tokoha University, Japan.
Journal of frailty, sarcopenia and falls
|March 4, 2025
概括
前臂周长 (FC) 可以预测需要护理的老年人尾肌肉质量 (ALM). 然而,开发的估计方程可能会在这个人群中高估或低估ALM.
科学领域:
- 老年学是一门学科.
- 身体组成分析 身体成分分析
- 临床营养学 临床营养学
背景情况:
- 对于需要护理的老年人来说,准确评估尾肌肉质量 (ALM) 是至关重要的.
- 估计ALM的现有方法可能会受到诸如等因素的影响.
- 在ALM估计方程中,前臂周长 (FC) 对这一人口群体的有用性尚未得到充分证实.
研究的目的:
- 在需要护理的老年人中,使用前臂周长 (FC) 开发和评估尾肌肉量 (ALM) 的估计方程.
- 评估开发的基于FC的ALM估计方程的准确性和潜在偏差.
主要方法:
- 一项涉及132名65岁及以上需要护理的参与者的横截面研究.
- 用生物电阻分析 (BIA) 测量的尾瘦质量 (ALM).
- 多重回归分析以开发使用FC,手握强度 (HS) 和年龄的估计方程;布兰德-阿尔特曼分析以评估系统错误.
主要成果:
- 开发了四个估计方程,该模型包括FC,HS和年龄,显示出代表性匹配 (r=0.86,调整后R2=0.73,SEE=2.01公斤).
- 布兰德-阿尔特曼分析显示,BIA测量的ALM和通过估计方程计算的ALM之间存在系统错误.
- 使用FC开发的配方可以预测ALM,可能会减少的影响.
结论:
- 前臂周长 (FC) 可以纳入方程,以估计需要护理的老年人尾肌肉质量 (ALM).
- 虽然潜在的受影响较小,但开发的基于FC的方程可能会导致该人群中ALM的高估或低估.
- 需要进一步验证,以完善对需要护理的老年人ALM估计.
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