Arciero P J, Goran M I, Gardner A M, Ades P A, Tyzbir R S, Poehlman E T
Division of Endocrinology, College of Medicine, University of Vermont, Burlington 05405.
J Am Geriatr Soc. 1993 Apr;41(4):389-95. doi: 10.1111/j.1532-5415.1993.tb06946.x.
To develop a practical and accurate age-specific equation for predicting resting metabolic rate (RMR) in older women and, thereafter, to cross-validate existing equations for predicting RMR in older females.
Cross-sectional validation study.
General Clinical Research Center.
A convenience sample of 75 healthy older women (age 50-81) free of significant cardiovascular or any other non-cardiac disease that may affect cardiovascular function or metabolic rate.
All 75 volunteers were characterized for resting metabolic rate (RMR), body composition, anthropometrics, physical activity, and energy intake.
A practical equation for predicting RMR in older women using easily measured variables was: [RMR (kcal/d) = 7.8 (weight,kg) + 4.7 (standing height, cm) -39.5 (menopausal status; 1-3) + 143.5]. These variables accounted for 59% (R2) of the variation in RMR and predicted RMR within +/- 66 kcal/d. When five previously published equations were applied to our sample of older women to predict RMR, individual predicted values deviated by -31% to 20% from the measured value.
We offer a practical equation to predict RMR in healthy older women based on a measure of body weight, standing height, and menopausal status.
建立一个实用且准确的特定年龄方程，用于预测老年女性的静息代谢率（RMR），并随后对现有的预测老年女性RMR的方程进行交叉验证。
横断面验证研究。
综合临床研究中心。
75名健康老年女性的便利样本（年龄50 - 81岁），无严重心血管疾病或任何其他可能影响心血管功能或代谢率的非心脏疾病。
对所有75名志愿者进行静息代谢率（RMR）、身体成分、人体测量学、身体活动和能量摄入的特征分析。
使用易于测量的变量预测老年女性RMR的实用方程为：[RMR（千卡/天）= 7.8（体重，千克）+ 4.7（身高，厘米）- 39.5（绝经状态；1 - 3）+ 143.5]。这些变量占RMR变化的59%（R2），预测的RMR在±66千卡/天范围内。当将五个先前发表的方程应用于我们的老年女性样本以预测RMR时，个体预测值与测量值的偏差为-31%至20%。
我们提供了一个基于体重、身高和绝经状态测量值来预测健康老年女性RMR的实用方程。
