de Luis D A, Aller R, Izaola O, Romero E
Institute of Endocrinology and Nutrition, Medicine School and Unit of Investigation, Hospital Rio Hortega, University of Valladolid, Valladolid, Spain.
Ann Nutr Metab. 2006;50(3):193-6. doi: 10.1159/000090740. Epub 2006 Jan 10.
The aim of our study was to evaluate the accuracy of the equations to estimate REE in obese patents and develop a new equation in our obese population.
A population of 200 obesity outpatients was analyzed in a prospective way. The following variables were specifically recorded: age, weight, body mass index (BMI), waist circumference, and waist-to-hip ratio. Basal glucose, insulin, and TSH (thyroid-stimulating hormone) were measured. An indirect calorimetry and a tetrapolar electrical bioimpedance were performed. REE measured by indirect calorimetry was compared with REE obtained by prediction equations to obese or nonobese patients.
The mean age was 44.8 +/- 16.81 years and the mean BMI 34.4 +/- 5.3. Indirect calorimetry showed that, as compared to women, men had higher resting energy expenditure (REE) (1,998.1 +/- 432 vs. 1,663.9 +/- 349 kcal/day; p < 0.05) and oxygen consumption (284.6 +/- 67.7 vs. 238.6 +/- 54.3 ml/min; p < 0.05). Correlation analysis among REE obtained by indirect calorimetry and REE predicted by prediction equations showed the next data; Berstein's equation (r = 0.65; p < 0.05), Harris Benedict's equation (r = 0.58; p < 0.05), Owen's equation (r = 0.56; p < 0.05), Ireton's equation (r = 0.58; p < 0.05) and WHO's equation (r = 0.57; p < 0.05). Both the Berstein's and the Ireton's equations overpredicted REE and showed nonsignificant mean differences form measured REE. The Owen's, WHO's, and Harris Benedict's equations underpredicted REE. Our male prediction equation was REE = 58.6 + (6.1 x weight (kg)) + (1,023.7 x height (m)) - (9.5 x age). The female model was REE = 1,272.5 + (9.8 x weight (kg)) - (61.6 x height (m)) - (8.2 x age). Our prediction equations showed a nonsignificant difference with REE measured (-3.7 kcal/day) with a significant correlation coefficient (r = 0.67; p < 0.05).
Previously developed prediction equations overestimated and underestimated REE measured. WHO equation developed in normal weight individuals provided the closest values. The two new equations (male and female equations) developed in our study had a good accuracy.
我们研究的目的是评估用于估计肥胖患者静息能量消耗（REE）的方程的准确性，并在我们的肥胖人群中开发一个新的方程。
前瞻性分析了200名肥胖门诊患者。具体记录了以下变量：年龄、体重、体重指数（BMI）、腰围和腰臀比。测量了基础血糖、胰岛素和促甲状腺激素（TSH）。进行了间接测热法和四极生物电阻抗测量。将间接测热法测得的REE与通过预测方程得出的肥胖或非肥胖患者的REE进行比较。
平均年龄为44.8±16.81岁，平均BMI为34.4±5.3。间接测热法显示，与女性相比，男性的静息能量消耗（REE）更高（1,998.1±432 vs. 1,663.9±349千卡/天；p<0.05），耗氧量也更高（284.6±67.7 vs. 238.6±54.3毫升/分钟；p<0.05）。间接测热法测得的REE与预测方程预测的REE之间的相关性分析显示了以下数据；伯恩斯坦方程（r = 0.65；p<0.05）、哈里斯-本尼迪克特方程（r = 0.58；p<0.05）、欧文方程（r = 0.56；p<0.05）、艾雷顿方程（r = 0.58；p<0.05）和世界卫生组织方程（r = 0.57；p<0.05）。伯恩斯坦方程和艾雷顿方程均高估了REE，且与测得的REE的平均差异无统计学意义。欧文方程、世界卫生组织方程和哈里斯-本尼迪克特方程低估了REE。我们的男性预测方程为REE = 58.6 +（6.1×体重（千克））+（1,023.7×身高（米））-（9.5×年龄）。女性模型为REE = 1,272.5 +（9.8×体重（千克））-（61.6×身高（米））-（8.2×年龄）。我们的预测方程与测得的REE之间的差异无统计学意义（-3.7千卡/天），相关系数显著（r = 0.67；p<0.05）。
先前开发的预测方程高估或低估了测得的REE。在正常体重个体中开发的世界卫生组织方程提供了最接近的值。我们研究中开发的两个新方程（男性和女性方程）具有良好的准确性。
