Fett Carlos A, Fett Waléria C R, Marchini Julio S
Faculdade de Educação Física, Universidade Federal de Mato Grosso, Cuiabá, MT.
Arq Bras Endocrinol Metabol. 2006 Dec;50(6):1050-8. doi: 10.1590/s0004-27302006000600011.
To compare the resting energy expenditure (REE, kcal/d) measured to the disposable equation of literature and to associate this to body composition.
Twenty-eight sedentary women were volunteers [weight: 79 +/- 12 kg; stature: 164 +/- 5 cm; age: 36 +/- 11 years; body mass index (BMI, kg/m(2)): 29 +/- 4]. The body composition was estimated with anthropometry methods; REE was measured by indirect calorimetry and was estimated by the main equations of the literature. Equations were developed to estimate REE and the best of them was REE-Our.
The different time of harvest produced a similar result to REE measured. The Harris and Benedict, FAO/WHO/UNO only weight, and weight plus height, Schofield and REE-Our equations results were statistically similar to REE measured. The Siervo and Falconi, Schofield and Henry and Rees equations did not have correlation with the measured calorimetry. The best-isolated predictor of the REE was the body mass and the best association when adjusted to unit (kg) was lean body mass. The equation developed in the present work was: REE(kcal/d)= 21837 - 14,448 * Weight(kg) + 54,963 * Lean Mass(kg)--9,341 * Stature(cm)--4,349 * Age(years)--19753 * Body Density(g/ml).
The REE prediction equations can prompt to errors and seem to be population specific. The best prediction result was with the equation developed with anthropometrics variables of the volunteers (measured= 1617 +/- 237 kcal/d; REE-Our= 1616 +/- 167 kcal/d).
将测量所得的静息能量消耗（REE，千卡/天）与文献中的可支配方程进行比较，并将其与身体成分相关联。
28名久坐不动的女性志愿者[体重：79±12千克；身高：164±5厘米；年龄：36±11岁；体重指数（BMI，千克/米²）：29±4]。采用人体测量学方法估算身体成分；通过间接测热法测量REE，并根据文献中的主要方程进行估算。开发了估算REE的方程，其中最佳方程为REE-Our。
不同采集时间得到的结果与测量的REE相似。哈里斯和本尼迪克特方程、粮农组织/世界卫生组织/联合国大学仅基于体重的方程、体重加身高的方程、斯科菲尔德方程和REE-Our方程的结果与测量的REE在统计学上相似。西尔沃和法尔科尼方程、斯科菲尔德和亨利与里斯方程与测量的量热法结果无相关性。REE的最佳单一预测指标是体重，调整为单位（千克）时最佳关联指标是瘦体重。本研究中开发的方程为：REE（千卡/天）=21837 - 14448×体重（千克）+54963×瘦体重（千克） - 9341×身高（厘米） - 4349×年龄（岁） - 19753×身体密度（克/毫升）。
REE预测方程可能会产生误差，且似乎具有人群特异性。使用志愿者的人体测量学变量开发的方程预测结果最佳（测量值=1617±237千卡/天；REE-Our=1616±167千卡/天）。
