Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects

Detalhes bibliográficos
Autor(a) principal: Krüger, Renata Lopes
Data de Publicação: 2014
Outros Autores: Lopes, André Luiz, Gross, Júlia da Silveira, Macedo, Rodrigo Cauduro Oliveira, Teixeira, Bruno Costa, Reischak-Oliveira, Álvaro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Cineantropometria & Desempenho Humano (Online)
Texto Completo: https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2015v17n1p73
Resumo: Prediction equations for basal metabolic rate (BMR) continue to be the most common clinical tool for diet prescription; however, the values estimated may differ from those measured by indirect calorimetry (IC), especially in obese subjects. The objective of this study was to determine the BMR of obese and eutrophic subjects by IC, and to compare the results obtained with those estimated by prediction equations in order to identify whether differences exist between predicted values and those measured by IC. Forty men aged 18 to 30 years were evaluated; of these, 20 were grade 1 obese and 20 were eutrophic. The agreement between the prediction equations and IC was evaluated using Bland-Altman (1986) plots. The results showed a variation between the prediction equations and IC of -19.6% to -91% in obese subjects and of 4.2% to 4.4% in eutrophic subjects. In both groups, the Mifflin-St. Jeor equation (1990) was the most accurate, with a difference of -9.1% compared to IC in obese subjects and of 0.9% in eutrophic subjects. This study indicates the Mifflin-St. Jeor equation to be the most adequate to estimate BMR. However, it is important to measure the BMR of obese subjects more accurately and safely in order to establish the best intervention based on physical exercise and healthy eating.
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spelling Validation of predictive equations for basal metabolic rate in eutrophic and obese subjectsValidação de equações de predição da taxa metabólica basal em sujeitos eutróficos e obesosPrediction equations for basal metabolic rate (BMR) continue to be the most common clinical tool for diet prescription; however, the values estimated may differ from those measured by indirect calorimetry (IC), especially in obese subjects. The objective of this study was to determine the BMR of obese and eutrophic subjects by IC, and to compare the results obtained with those estimated by prediction equations in order to identify whether differences exist between predicted values and those measured by IC. Forty men aged 18 to 30 years were evaluated; of these, 20 were grade 1 obese and 20 were eutrophic. The agreement between the prediction equations and IC was evaluated using Bland-Altman (1986) plots. The results showed a variation between the prediction equations and IC of -19.6% to -91% in obese subjects and of 4.2% to 4.4% in eutrophic subjects. In both groups, the Mifflin-St. Jeor equation (1990) was the most accurate, with a difference of -9.1% compared to IC in obese subjects and of 0.9% in eutrophic subjects. This study indicates the Mifflin-St. Jeor equation to be the most adequate to estimate BMR. However, it is important to measure the BMR of obese subjects more accurately and safely in order to establish the best intervention based on physical exercise and healthy eating.Equações de predição para taxa metabólica basal (TMB) são amplamente utilizadas para prescrição dietética, porém podem apresentar valores diferentes daqueles medidos por calorimetria indireta (CI), principalmente, em indivíduos obesos. O objetivo deste estudo foi verificar os valores de TMB por meio da CI em indivíduos obesos de grau I e eutróficos e comparar com os resultados obtidos pelas equações de predição, a fim de identificar se existe discrepância nos valores obtidos entre o medido pela CI e o estimado pelas equações. O estudo avaliou 40 homens entre 18 e 30 anos, sendo 20 eutróficos e 20 obesos grau I. Foi verificado o grau de concordância entre as equações e CI por meio da metodologia sugerida por Bland e Altman (1986). Os resultados mostram a variação entre os métodos de predição de -19,6% a -9,1%, quando comparadas a CI nos sujeitos obesos, e de -4,2% a 4,4% nos eutróficos. Em ambos os grupos, a equação que mais se aproxima da estimativa real é a de Miflin St. Jeor (1990), com -9,1% de diferença da CI nos sujeitos obesos e 0,9% nos eutróficos. Desta forma, o presente estudo indica a utilização da equação de Mifflin St. Jeor (1990) para estimar a TMB. Entretanto, é fundamental que se consiga medir a TMB de sujeitos obesos de maneira mais precisa e segura, para melhor conduzir a intervenção baseada em exercícios físicos e boa alimentação.Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil2014-12-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion"Avaliado por Pares",Original paperAvaliado por ParesQuase Experimental.application/pdfhttps://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2015v17n1p7310.1590/1980-0037.2015v17n1p73Brazilian Journal of Kinanthropometry and Human Performance; Vol. 17 No. 1 (2015); 73-81Revista Brasileira de Cineantropometria e Desempenho Humano; v. 17 n. 1 (2015); 73-811980-00371415-8426reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online)instname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCenghttps://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2015v17n1p73/28527Krüger, Renata LopesLopes, André LuizGross, Júlia da SilveiraMacedo, Rodrigo Cauduro OliveiraTeixeira, Bruno CostaReischak-Oliveira, Álvaroinfo:eu-repo/semantics/openAccess2018-12-05T08:35:17Zoai:periodicos.ufsc.br:article/31612Revistahttps://periodicos.ufsc.br/index.php/rbcdh/PUBhttps://periodicos.ufsc.br/index.php/rbcdh/oairbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br1980-00371415-8426opendoar:2018-12-05T08:35:17Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC)false
dc.title.none.fl_str_mv Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects
Validação de equações de predição da taxa metabólica basal em sujeitos eutróficos e obesos
title Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects
spellingShingle Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects
Krüger, Renata Lopes
title_short Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects
title_full Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects
title_fullStr Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects
title_full_unstemmed Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects
title_sort Validation of predictive equations for basal metabolic rate in eutrophic and obese subjects
author Krüger, Renata Lopes
author_facet Krüger, Renata Lopes
Lopes, André Luiz
Gross, Júlia da Silveira
Macedo, Rodrigo Cauduro Oliveira
Teixeira, Bruno Costa
Reischak-Oliveira, Álvaro
author_role author
author2 Lopes, André Luiz
Gross, Júlia da Silveira
Macedo, Rodrigo Cauduro Oliveira
Teixeira, Bruno Costa
Reischak-Oliveira, Álvaro
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Krüger, Renata Lopes
Lopes, André Luiz
Gross, Júlia da Silveira
Macedo, Rodrigo Cauduro Oliveira
Teixeira, Bruno Costa
Reischak-Oliveira, Álvaro
description Prediction equations for basal metabolic rate (BMR) continue to be the most common clinical tool for diet prescription; however, the values estimated may differ from those measured by indirect calorimetry (IC), especially in obese subjects. The objective of this study was to determine the BMR of obese and eutrophic subjects by IC, and to compare the results obtained with those estimated by prediction equations in order to identify whether differences exist between predicted values and those measured by IC. Forty men aged 18 to 30 years were evaluated; of these, 20 were grade 1 obese and 20 were eutrophic. The agreement between the prediction equations and IC was evaluated using Bland-Altman (1986) plots. The results showed a variation between the prediction equations and IC of -19.6% to -91% in obese subjects and of 4.2% to 4.4% in eutrophic subjects. In both groups, the Mifflin-St. Jeor equation (1990) was the most accurate, with a difference of -9.1% compared to IC in obese subjects and of 0.9% in eutrophic subjects. This study indicates the Mifflin-St. Jeor equation to be the most adequate to estimate BMR. However, it is important to measure the BMR of obese subjects more accurately and safely in order to establish the best intervention based on physical exercise and healthy eating.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
"Avaliado por Pares",
Original paper
Avaliado por Pares
Quase Experimental.
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2015v17n1p73
10.1590/1980-0037.2015v17n1p73
url https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2015v17n1p73
identifier_str_mv 10.1590/1980-0037.2015v17n1p73
dc.language.iso.fl_str_mv eng
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil
publisher.none.fl_str_mv Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil
dc.source.none.fl_str_mv Brazilian Journal of Kinanthropometry and Human Performance; Vol. 17 No. 1 (2015); 73-81
Revista Brasileira de Cineantropometria e Desempenho Humano; v. 17 n. 1 (2015); 73-81
1980-0037
1415-8426
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instname_str Universidade Federal de Santa Catarina (UFSC)
instacron_str UFSC
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reponame_str Revista Brasileira de Cineantropometria & Desempenho Humano (Online)
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repository.name.fl_str_mv Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC)
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