Recasens M A, Barenys M, Fernández-Ballart J, Sola R, Blanch S, Salas Salvadó J
Unidad de Investigación en Nutrición y Crecimiento Humano, Facultad de Medicina y Ciencias de Salud, Universitat Rovira i Virgili, Tarragona.
Med Clin (Barc). 1994 Apr 2;102(12):451-5.
The equations available for the prediction of basal energy expenditure (BEE) may not be applicable in morbid obese individuals since the contribution of the fat free mass (FFM) over the BEE is not constant. The aim of this study was to obtain new equations for the prediction of BEE which are specific for patients with morbid obesity.
In 26 women with morbid obesity age, weight, body composition by bioelectric impedance and BEE by open circuit indirect calorimetry were determined. The BEE observed was compared with that estimated from the previously described equations. The multiple regression method was used to obtain the BEE prediction equations.
Upon comparison of the BEE observed with the BEE estimated by the described equations a significant relation was found between both parameters. The differences were also significant except when the Harris-Benedict equation was used. Multiple regression analysis demonstrated that when the variables of body composition were included, the FFM explained 75% of the variation in BEE and on forcing the entrance of fatty mass, the explanation increased to 79%. When only the anthropometric variables were included, weight explained 69% of the variation.
In morbid obesity, most of the equations described for estimating basal energy expenditure are not applicable. New equations are reported for the prediction of energy expenditure.
现有的用于预测基础能量消耗(BEE)的公式可能不适用于病态肥胖个体,因为去脂体重(FFM)对BEE的贡献并非恒定不变。本研究的目的是获得针对病态肥胖患者的预测BEE的新公式。
对26例病态肥胖女性测定其年龄、体重、通过生物电阻抗法测定的身体成分以及通过开路间接量热法测定的BEE。将观察到的BEE与根据先前描述的公式估算的BEE进行比较。采用多元回归方法获得BEE预测公式。
将观察到的BEE与根据所述公式估算的BEE进行比较时,发现这两个参数之间存在显著关系。除使用哈里斯-本尼迪克特公式外,差异也具有显著性。多元回归分析表明,当纳入身体成分变量时,FFM解释了BEE变化的75%,当强制纳入脂肪量时,解释率提高到79%。当仅纳入人体测量学变量时,体重解释了69%的变化。
在病态肥胖中,大多数描述的用于估算基础能量消耗的公式并不适用。报告了预测能量消耗的新公式。