Background and Aim: An accurate estimation of Resting Energy Expenditure (REE) in patients with obesity is crucial. Therefore, our aim was to assess the validity of REE predictive equations based on body composition variables in treatment-seeking Arab adults with 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 and 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 the accuracy, and the Bland-Altman method was used to assess the level of agreement. Results: Ten predictive equations were included. In males, all the predictive equations gave significantly different estimates of REE when compared to that measured by IC. On the other hand, in fe-males, the mean difference between the REE value estimated by Huang and Horie-Waitzberg equations and that measured using IC was not significant, and the agreement was confirmed using Bland-Altman plots. Conclusion: Huang and Horie-Waitzberg equations are suggested for accurate REE estimation in fe-males; however, new validated REE estimation equations for males in this population are still needed.

Predictive equations based on body composition for resting energy expenditure estimation in adults with obesity / El Masri, D.; Itani, L.; Kreidieh, D.; Tannir, H.; El Ghoch, M.. - In: CURRENT DIABETES REVIEWS. - ISSN 1875-6417. - 16:4(2020), pp. 381-386. [10.2174/1573399815666191030085915]

Predictive equations based on body composition for resting energy expenditure estimation in adults with obesity

El Ghoch M.
2020

Abstract

Background and Aim: An accurate estimation of Resting Energy Expenditure (REE) in patients with obesity is crucial. Therefore, our aim was to assess the validity of REE predictive equations based on body composition variables in treatment-seeking Arab adults with 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 and 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 the accuracy, and the Bland-Altman method was used to assess the level of agreement. Results: Ten predictive equations were included. In males, all the predictive equations gave significantly different estimates of REE when compared to that measured by IC. On the other hand, in fe-males, the mean difference between the REE value estimated by Huang and Horie-Waitzberg equations and that measured using IC was not significant, and the agreement was confirmed using Bland-Altman plots. Conclusion: Huang and Horie-Waitzberg equations are suggested for accurate REE estimation in fe-males; however, new validated REE estimation equations for males in this population are still needed.
2020
16
4
381
386
Predictive equations based on body composition for resting energy expenditure estimation in adults with obesity / El Masri, D.; Itani, L.; Kreidieh, D.; Tannir, H.; El Ghoch, M.. - In: CURRENT DIABETES REVIEWS. - ISSN 1875-6417. - 16:4(2020), pp. 381-386. [10.2174/1573399815666191030085915]
El Masri, D.; Itani, L.; Kreidieh, D.; Tannir, H.; El Ghoch, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1339567
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