需要护理的老年人用前臂围度估算阑尾瘦质量公式的发展。

Daisuke Takagi, Masatoshi Kageyama
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引用次数: 0

摘要

目的:在估计方程中使用前臂围度(FC)来预测需要护理的老年人的阑尾瘦质量(ALM)尚不清楚。方法:本横断面研究针对132名年龄≥65岁需要护理的参与者。采用生物电阻抗分析法(BIA)测定ALM。用数字式手测力仪测量握力(HS)。在最大肿胀部位用卷尺测量FC。通过多元回归分析,建立了用FC估计bia测量的ALM的方程。此外,我们通过Bland-Altman分析研究了bia测量的ALM与估计方程计算的ALM之间的系统误差。结果:建立了四个估计方程。代表性模型(FC + HS + age)的r、调整后R2和SEE分别为0.86、0.73和2.01 (kg) (p < 0.05)。相比之下,bia测量的ALM与Bland-Altman分析估计方程计算的ALM之间存在系统误差。结论:本研究开发了使用FC的公式,该公式可以预测ALM,对水肿的影响较小,但在需要护理的老年人中可能会高估或低估ALM。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of Estimate Formulas for Appendicular Lean Mass Using Forearm Circumference in Older Adults Requiring Care.

Development of Estimate Formulas for Appendicular Lean Mass Using Forearm Circumference in Older Adults Requiring Care.

Development of Estimate Formulas for Appendicular Lean Mass Using Forearm Circumference in Older Adults Requiring Care.

Objectives: The use of forearm circumference (FC) in the estimation equation to predict appendicular lean mass (ALM) in older adults who require care remains unclear.

Methods: This cross-sectional study targeted 132 participants aged ≥65 years requiring care. The ALM was measured with bioelectrical impedance analysis (BIA). Handgrip strength (HS) was measured with a digital hand dynamometer. FC was measured at the site of maximum swelling using a tape measure. Multiple regression analysis was conducted to develop an equation for estimating BIA-measured ALM using FC. Moreover, we investigated a systematic error by Bland-Altman analysis between BIA-measured ALM and ALM calculated by the estimation equation.

Results: We developed the four estimation equations. The values of r, adjusted R2, and SEE in the representative model (FC + HS + age) were 0.86, 0.73, and 2.01 (kg), respectively (p < 0.05). In contrast, a systematic error was identified between the BIA-measured ALM and ALM calculated by the estimation equations by the Bland-Altman analysis.

Conclusions: This study developed the formula using FC, which can predict ALM with less influence of edema, but it may over- or underestimate ALM in older adults requiring care.

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