Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss

Background & Aims: The better equation to predict resting metabolic rate (pRMR) to use for overweight individuals mainly after weight loss is unclear. This study aimed to identify the best equation to pRMR in overweight adult women before and after a nutritional intervention aiming to lose weigh...

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Detalles Bibliográficos
Autores: Nayara Mussi Monteze, Ana Maria Dos Santos Rodrigues, Gabriela Barbosa Pires Fagundes, Laís Bhering Martins, Maria Isabel Toulson Davisson Correia, Luana Caroline Santos, Antônio Lúcio Teixeira, Adaliene Versiani Matos Ferreira
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:Brasil
Institución:Universidade Federal de Minas Gerais (UFMG)
Repositorio:Repositório Institucional da UFMG
Idioma:inglés
OAI Identifier:oai:repositorio.ufmg.br:1843/54016
Acceso en línea:https://doi.org/10.1016/j.nutos.2021.03.006
http://hdl.handle.net/1843/54016
https://orcid.org/0000-0003-3534-1262
https://orcid.org/0000-0003-3654-0140
https://orcid.org/0000-0002-9814-8649
https://orcid.org/0000-0002-3503-4302
https://orcid.org/0000-0001-9836-3704
https://orcid.org/0000-0002-9621-5422
https://orcid.org/0000-0003-2256-8652
Access Level:acceso abierto
Palabra clave:Resting metabolic rate
Predictive equations
Overweight women
Weight loss
Indirect calorimetry
Metabolismo basal
Sobrepeso
Redução de peso
Calorimetria indireta
Descripción
Sumario:Background & Aims: The better equation to predict resting metabolic rate (pRMR) to use for overweight individuals mainly after weight loss is unclear. This study aimed to identify the best equation to pRMR in overweight adult women before and after a nutritional intervention aiming to lose weight. Methods: Thirty overweight adult women were enrolled in this study. Subjects underwent 6-month energy-restricted diet intervention. Anthropometrics and body composition measures were evaluated. Nine equations that are widely used to pRMR were performed based on anthropometric and body composition parameters. Measured RMR (mRMR) was obtained by indirect calorimetry. A new equation to predict resting metabolic rate (npRMR) was also developed by multiple regression analysis based on anthropometric and body composition variables. The validity of the equations was investigated through comparisons, accuracy, and agreement tests. Results: Before the nutrition intervention, only the Mifflin equation was similar to mRMR, with a mean difference of 12kcal and 83% of accuracy. The mean weight loss was 4.2% after 6 months. Following weight loss, only the Owen equation was similar to mRMR, with a mean difference of 33 kcal. However, this equation showed low accuracy (63%). All the others equations showed reduction of accuracy, increase of bias and overestimation of RMR. A npRMR was calculated, and this showed a lower mean difference to mRMR with 70% of accuracy. Conclusions: Out of the nine resting metabolic rate equations evaluated only the Mifflin equation was similar to mRMR before intervention. Interestingly, after weight loss none of the assessed equations were reliable to pRMR. Based on that we propose a new equation that showed greater accuracy and lower mean difference when compared with mRMR.