Curtin Exercise Physiology Laboratory (FISEX), School of Physical Education, University of Campinas (UNICAMP).
J Nutr Health Aging. 2013 Mar;17(3):211-4. doi: 10.1007/s12603-012-0395-3.
The resting energetic dispenses on postmenopausal stage should be well known in order to elaborate obesity prevention programs.
The aim of this study was to compare the resting metabolic rate (RMR) measured by indirect calorimetry (RMRmeasured) with predictive equations (RMRestimated) and verify which preexisting equation is more indicated for this population, in inactive, postmenopausal women.
43 postmenopausal women volunteered for the present study.
RMRestimated value was achieved by indirect calorimetry. The predictive equations used were: Harris-Benedict equation (HB), Henry e Ree (HR), Mifflin-St Jeor equation (MSJ), World Health Organization equation (WHO) and Female Brazilian Population (FBP). Body composition was obtained through skinfolds method.
All equations showed significant difference values for kcal/day (p<0.00001) (HB 1313.07±73.46; HR 1310.95±81.41; MSJ 1207.93±93.17; WHO 1375.73±61.01 and FBP 1250.05±73.54 kcal/day) in relation to RMRestimated (1063.79±157.82). The WHO equation was the one which most overestimated the RMR values with a difference of more than 300 kcal/day.
None of the equations to approach, in this study showed precision in the estimative of RMR, all prediction equations overestimated RMR values in Brazilians' postmenopausal women, although the MSJ predictive equation showed the greater approximation of RMRmeasured for this population.
目的：本研究旨在比较间接测热法（RMRmeasured）测量的静息代谢率（RMR）与预测方程（RMRestimated），并验证哪种现有方程更适合该人群，即处于不活跃状态的绝经后女性。
设计：43 名绝经后妇女自愿参加本研究。
测量：RMRestimated 值通过间接测热法获得。使用的预测方程有：Harris-Benedict 方程（HB）、Henry e Ree（HR）、Mifflin-St Jeor 方程（MSJ）、世界卫生组织方程（WHO）和巴西女性人口方程（FBP）。身体成分通过皮褶厚度法获得。
结果：所有方程的千卡/天值均有显著差异（p<0.00001）（HB 为 1313.07±73.46；HR 为 1310.95±81.41；MSJ 为 1207.93±93.17；WHO 为 1375.73±61.01；FBP 为 1250.05±73.54 千卡/天），与 RMRestimated（1063.79±157.82）相比。WHO 方程高估了 RMR 值，差值超过 300 千卡/天。
结论：在本研究中，没有一个方程能够精确地预测 RMR，所有预测方程都高估了巴西绝经后女性的 RMR 值，尽管 MSJ 预测方程对该人群的 RMRmeasured 具有更高的近似性。
