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

Detalhes bibliográficos
Autor(a) principal: Nayara Mussi Monteze
Data de Publicação: 2021
Outros Autores: 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 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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spelling 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
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