Department of Diabetes and Clinical Nutrition, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Clin Nutr. 2013 Oct;32(5):777-82. doi: 10.1016/j.clnu.2012.11.017. Epub 2012 Dec 2.
BACKGROUND & AIMS: Predictive equations for basal energy expenditure (BEE) derived from Caucasians tend to overestimate BEE in non-Caucasians. The aim of this study was to develop a more suitable method to estimate BEE in Japanese patients with diabetes using indices readily measured in clinical practice.
BEE was measured by indirect calorimetry under a strict basal condition in 68 Japanese patients with type 1 or type 2 diabetes. The best fitting equation was investigated by multiple regression analysis using of age, sex, and anthropometric indices. The resultant new equation was tested in a separate group of 60 Japanese patients with type 1 or type 2 diabetes, and the accuracy compared with existing equations.
The best-fit equation was BEE [kcal/day] = 10 × (body weight)[kg] - 3 × (age)[y] + 125 (if male) + 750. Adjusted coefficient of determination was 81.0%. Root mean squared errors and accurate prediction in the validation set were 103 kcal/day and 78% for the new equation; 184 and 50 for Harris-Benedict; 209 and 38 for Oxford; 205 and 42 for Liu; and 140 and 63 for Ganpule.
This new equation is simpler and estimates BEE more accurately in Japanese patients with diabetes than the presently used equations do.
基于白种人推导的基础能量消耗(BEE)预测方程往往会高估非白种人的 BEE。本研究旨在开发一种更适合的方法,利用临床实践中易于测量的指标来估算日本糖尿病患者的 BEE。
在严格的基础条件下,通过间接热量法测量 68 例 1 型或 2 型糖尿病日本患者的 BEE。使用多元回归分析,研究年龄、性别和人体测量学指标的最佳拟合方程。在另一个 60 例 1 型或 2 型糖尿病日本患者的独立组中测试新方程,并与现有方程的准确性进行比较。
最佳拟合方程为 BEE[kcal/天] = 10 × (体重)[kg] - 3 × (年龄)[y] + 125(男性)+ 750。调整后的决定系数为 81.0%。新方程的验证集的均方根误差和准确预测率分别为 103 kcal/天和 78%;Harris-Benedict 方程为 184 和 50%;Oxford 方程为 209 和 38%;Liu 方程为 205 和 42%;Ganpule 方程为 140 和 63%。
与目前使用的方程相比,这个新方程更简单,能更准确地估算日本糖尿病患者的 BEE。