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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A new resting metabolic rate equation for women with class III obesity

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Author(s):
Parenti de Oliveira, Bruno Affonso [1] ; Nicoletti, Carolina Ferreira [1] ; de Oliveira, Cristiana Cortes [1] ; de Souza Pinhel, Marcela Augusta [1] ; Gomes Quinhoneiro, Driele Cristina [1] ; Noronha, Natalia Yumi [1] ; Marchini, Julio Sergio [1] ; Nonino, Carla Barbosa [1]
Total Authors: 8
Affiliation:
[1] Univ Sao Paulo, Sch Med, Dept Internal Med, Ribeirao Preto Campus, Ribeirao Preto, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: NUTRITION; v. 49, p. 1-6, MAY 2018.
Web of Science Citations: 2
Abstract

Objective: Resting metabolic rate (RMR) is an important parameter to guide the nutritional therapy of class III obese patients. The aims of the present study were to develop a predictive equation for RMR estimation in class III obese women using anthropometric indicators and to compare indirect calorimetry with other predictive equations. Methods: This was a cross-sectional study on women with class III obesity (body mass index >40 kg/m(2)). Weight, height, fat-free mass, fat mass, and RMR of all individuals were measured. Multiple linear regression was used to determine the new RMR equation and the Bland-Altman plot was used to analyze the agreement between indirect calorimetry and the results of predictive equations. Results: We evaluated 101 women with obesity class III and a mean age of 36.3 +/- 10 y. The anthropometric and body composition variables used in the new equation had a coefficient of determination of 0.80, and a significant influence on RMR (P = 0.01). Harris-Benedict and World Health Organization equations showed similar bias and limits (181.6, +2 SD = 765.5, -2 SD = -402.2; 156.4, +2 SD = 799.4, -2 SD = -486.6, respectively). The Mifflin-St Jeor and Owen equations showed large clinical bias (mean, 239.2 and 463.9, respectively), and a tendency to overestimate RMR. Conclusion: The prediction equations tested in the study had low accuracy in estimating RMR of women with class III obesity. However, our equation was developed specifically for this population, using variables known to influence their energy expenditure. (C) 2017 Elsevier Inc. All rights reserved. (AU)

FAPESP's process: 15/06624-1 - Molecular markers related to energy metabolism and its association with substrate oxidation and resting metabolic rate in women with morbid obesity before and after bariatric surgery
Grantee:Bruno Affonso Parenti de Oliveira
Support Opportunities: Scholarships in Brazil - Doctorate