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Predictive Equations Based on Body Composition for Resting Energy Expenditure Estimation in Adults with Obesity

Author(s):

Dana El Masri, Leila Itani, Dima Kreidieh, Hana Tannir and Marwan El Ghoch*   Pages 1 - 6 ( 6 )

Abstract:


Background and Aim: An accurate estimation of resting energy expenditure (REE) in patients with obesity is crucial. Therefore, we aim to assess the validity of REE predictive equations based on body composition variables in treatment-seeking Arab adults with overweight and obesity.

Methods: Body composition and REE were measured by Tanita BC-418 bioimpedance and Vmax Encore 229 IC respectively, and predictive equations based on fat mass, fat-free mass were used in REE estimations among 87 adults of both genders, in the Outpatient Clinic in the Department of Nutrition and Dietetics at Beirut Arab University (Lebanon). The mean differences between the measured and estimated REE values were calculated to assess accuracy, and the Bland-Altman method was used to assess the level of agreement.

Results: Ten predictive were included. In males, all predictive equations gave significantly different estimates of REE when compared to that measured by IC. On the other hand, in females, the mean difference between the REE value estimated by Huang and Horie-Waitzberg equations and that measured using IC was not significant, and agreement was confirmed using Bland-Altman plots.

Conclusion: We suggest Huang and Horie-Waitzberg equations for accurate REE estimation in females; however, new validated REE estimation equations for males in this population are still needed.

Keywords:

body composition, obesity, resting energy expenditure, indirect calorimetry, predictive equations, body fat

Affiliation:

Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut, Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut, Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut, Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut, Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut



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