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

(E-pub Ahead of Print)

Author(s): Dana El Masri, Leila Itani, Dima Kreidieh, Hana Tannir, Marwan El Ghoch*.

Journal Name: Current Diabetes Reviews

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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

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1573399815666191030085915
Price: $95