Dobratz Jennifer R, Sibley Shalamar D, Beckman Tiffany R, Valentine Bret J, Kellogg Todd A, Ikramuddin Sayeed, Earthman Carrie P
Department of Food Science and Nutrition, University of Minnesota, St. Paul, Minnesota 55108-6099, USA.
JPEN J Parenter Enteral Nutr. 2007 May-Jun;31(3):217-27. doi: 10.1177/0148607107031003217.
The most common clinical method for resting energy expenditure (REE) assessment is prediction equations. The purpose of this study was to elucidate which prediction equation is most accurate for REE assessment in extremely obese women.
Fourteen extremely obese women (mean +/- SD body mass index: 49.8 +/- 6.2 kg/m(2); age: 49 +/- 10 years) were measured for height and weight and REE via indirect calorimetry (IC) by a metabolic cart system. Predicted REE was evaluated by several equations, including Harris-Benedict with actual body weight, Harris-Benedict with several adjustments to body weight, Cunningham, Mifflin-St Jeor, Owen, World Health Organization (WHO), and Bernstein equations. Accuracy was determined by mean difference data (IC REE - equation REE; Student's paired t-test), correlation coefficients, and agreement between methods by Bland-Altman plots. Accuracy was also evaluated on an individual basis, defined by the percentage of individuals within +/-10% of IC REE.
The Mifflin-St Jeor, Harris-Benedict with actual body weight, and the WHO equations were the most accurate in terms of mean predicted REE. The mean predicted REE values by all other equations were different from the IC REE values (p < .1). According to the individual data, the Mifflin-St Jeor was most accurate (14% outside +/-10% IC REE). The Harris-Benedict with actual body weight and WHO equations were less accurate on individual terms, with 29% and 42% of the predicted REE values, respectively, falling outside +/-10% of IC REE.
The Mifflin-St Jeor equation was most accurate method for REE assessment in extremely obese women.
静息能量消耗（REE）评估最常用的临床方法是预测方程。本研究的目的是阐明哪种预测方程对极度肥胖女性的REE评估最为准确。
对14名极度肥胖女性（平均±标准差体重指数：49.8±6.2kg/m²；年龄：49±10岁）测量身高、体重，并通过代谢车系统采用间接测热法（IC）测量REE。通过多个方程评估预测的REE，包括基于实际体重的Harris-Benedict方程、对体重进行多次调整后的Harris-Benedict方程、Cunningham方程、Mifflin-St Jeor方程、Owen方程、世界卫生组织（WHO）方程和Bernstein方程。通过平均差异数据（IC REE - 方程REE；学生配对t检验）、相关系数以及Bland-Altman图评估方法之间的一致性来确定准确性。还根据个体情况评估准确性，定义为预测REE在IC REE的±10%范围内的个体百分比。
就平均预测REE而言，Mifflin-St Jeor方程、基于实际体重的Harris-Benedict方程和WHO方程最为准确。所有其他方程的平均预测REE值与IC REE值不同（p < 0.1）。根据个体数据，Mifflin-St Jeor方程最准确（14%超出IC REE的±10%范围）。基于实际体重的Harris-Benedict方程和WHO方程在个体准确性方面较低，分别有29%和42%的预测REE值超出IC REE的±10%范围。
Mifflin-St Jeor方程是评估极度肥胖女性REE最准确的方法。
