Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | 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 |
Resumo: | 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. |
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Low accuracy of predictive equations for resting metabolic rate in overweight women after weight lossBaixa precisão de equações preditivas para taxa metabólica de repouso em mulheres com sobrepeso após perda de pesoResting metabolic ratePredictive equationsOverweight womenWeight lossIndirect calorimetryMetabolismo basalSobrepesoRedução de pesoCalorimetria indiretaBackground & 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.CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas GeraisCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUniversidade Federal de Minas GeraisBrasilENF - DEPARTAMENTO DE ENFERMAGEM MATERNO INFANTIL E SAÚDE PÚBLICAENF - DEPARTAMENTO DE NUTRIÇÃOUFMG2023-05-26T19:56:40Z2023-05-26T19:56:40Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdfhttps://doi.org/10.1016/j.nutos.2021.03.0062667-2685http://hdl.handle.net/1843/54016https://orcid.org/0000-0003-3534-1262https://orcid.org/0000-0003-3654-0140https://orcid.org/0000-0002-9814-8649https://orcid.org/0000-0002-3503-4302https://orcid.org/0000-0001-9836-3704https://orcid.org/0000-0002-9621-5422https://orcid.org/0000-0003-2256-8652engClinical nutrition open scienceNayara Mussi MontezeAna Maria Dos Santos RodriguesGabriela Barbosa Pires FagundesLaís Bhering MartinsMaria Isabel Toulson Davisson CorreiaLuana Caroline SantosAntônio Lúcio TeixeiraAdaliene Versiani Matos Ferreirainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2023-05-26T19:56:40Zoai:repositorio.ufmg.br:1843/54016Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2023-05-26T19:56:40Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss Baixa precisão de equações preditivas para taxa metabólica de repouso em mulheres com sobrepeso após perda de peso |
title |
Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss |
spellingShingle |
Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss Nayara Mussi Monteze Resting metabolic rate Predictive equations Overweight women Weight loss Indirect calorimetry Metabolismo basal Sobrepeso Redução de peso Calorimetria indireta |
title_short |
Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss |
title_full |
Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss |
title_fullStr |
Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss |
title_full_unstemmed |
Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss |
title_sort |
Low accuracy of predictive equations for resting metabolic rate in overweight women after weight loss |
author |
Nayara Mussi Monteze |
author_facet |
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 |
author_role |
author |
author2 |
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 |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
Resting metabolic rate Predictive equations Overweight women Weight loss Indirect calorimetry Metabolismo basal Sobrepeso Redução de peso Calorimetria indireta |
topic |
Resting metabolic rate Predictive equations Overweight women Weight loss Indirect calorimetry Metabolismo basal Sobrepeso Redução de peso Calorimetria indireta |
description |
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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2023-05-26T19:56:40Z 2023-05-26T19:56:40Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1016/j.nutos.2021.03.006 2667-2685 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 |
url |
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 |
identifier_str_mv |
2667-2685 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Clinical nutrition open science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais Brasil ENF - DEPARTAMENTO DE ENFERMAGEM MATERNO INFANTIL E SAÚDE PÚBLICA ENF - DEPARTAMENTO DE NUTRIÇÃO UFMG |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais Brasil ENF - DEPARTAMENTO DE ENFERMAGEM MATERNO INFANTIL E SAÚDE PÚBLICA ENF - DEPARTAMENTO DE NUTRIÇÃO UFMG |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Repositório Institucional da UFMG |
collection |
Repositório Institucional da UFMG |
repository.name.fl_str_mv |
Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
repositorio@ufmg.br |
_version_ |
1816829907753238528 |