Prediction of cardiorespiratory fitness from self-reported data in elderly

Detalhes bibliográficos
Autor(a) principal: Maranhao Neto, Geraldo A
Data de Publicação: 2017
Outros Autores: Oliveira, Aldair J, Pedreiro, Rodrigo, Marques Neto, Silvio, Luz, Leonardo G, Silva, Henrique C, Farinatti, Paulo TV
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Cineantropometria & Desempenho Humano (Online)
DOI: 10.1590/1980-0037.2017v19n5p545
Texto Completo: https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2017v19n5p545
Resumo: Cardiorespiratory fitness (CRF) is associated with several health outcomes. Some non-exercise equations are available for CRF estimation. However, little is known about the validation of these equations among elderly. The aim of this study was to exam the validity of non-exercise equations with self-reported information in elderly. Participants (n= 93) aged 60 to 91 years measured CRF using maximal cardiopulmonary exercise test. Five non-exercise equations were selected. Data included in the equations (age, sex, weight, height, body mass index, physical activity and smoking) were self-reported. Coefficient of determination (R2) of linear regressions with laboratory-measured VO2 peak ranged from 0.04 to 0.64. The Bland-Altman plots showed higher agreement between achieved and predicted CRF obtained by Jackson and colleagues, and Wier and colleagues equations. On the other hand, the other equations showed lower agreement and overestimation. Our findings provide evidences that two non-exercise equations, previously developed, could be used on the prediction of CRF among elderly.
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spelling Prediction of cardiorespiratory fitness from self-reported data in elderlyPredição da aptidão cardiorrespiratória através de dados auto-relatados em idososCardiorespiratory fitness (CRF) is associated with several health outcomes. Some non-exercise equations are available for CRF estimation. However, little is known about the validation of these equations among elderly. The aim of this study was to exam the validity of non-exercise equations with self-reported information in elderly. Participants (n= 93) aged 60 to 91 years measured CRF using maximal cardiopulmonary exercise test. Five non-exercise equations were selected. Data included in the equations (age, sex, weight, height, body mass index, physical activity and smoking) were self-reported. Coefficient of determination (R2) of linear regressions with laboratory-measured VO2 peak ranged from 0.04 to 0.64. The Bland-Altman plots showed higher agreement between achieved and predicted CRF obtained by Jackson and colleagues, and Wier and colleagues equations. On the other hand, the other equations showed lower agreement and overestimation. Our findings provide evidences that two non-exercise equations, previously developed, could be used on the prediction of CRF among elderly.A aptidão cardiorrespiratória (ACR) está associada a vários desfechos de saúde. Algumas equações sem exercício estão disponíveis para estimar a ACR. No entanto, pouco se sabe sobre a validação dessas equações entre os idosos. O estudo foi desenvolvido com o objetivo de examinar a validade de equações sem exercício com informações auto-relatadas em idosos. Os participantes (n = 93) com idades entre 60 e 91 anos foram submetidos ao teste de exercício cardiopulmonar máximo para avaliar a ACR. Cinco equações sem exercício foram selecionadas. Os dados incluídos nas equações (idade, sexo, peso, altura, índice de massa corporal, atividade física e tabagismo) foram auto-relatados. O coeficiente de determinação (R2) das regressões lineares com o VO2 pico, medido em laboratório, variou de 0,04 a 0,64. Os gráficos de Bland-Altman mostraram maior concordância entre a ACR obtida e prevista por Jackson e colaboradores, e equações de Wier e colaboradores. Por outro lado, as demais equações mostraram menor concordância e superestimação. Nossos resultados fornecem evidências de que duas equações sem exercício, previamente desenvolvidas, poderiam ser usadas na estimação da ACR em idosos. Universidade Federal de Santa Catarina. Florianópolis, SC. Brasil2017-12-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion"Avaliado por Pares",Original articleAvaliado por ParesArtigos Originaisapplication/pdfhttps://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2017v19n5p54510.1590/1980-0037.2017v19n5p545Brazilian Journal of Kinanthropometry and Human Performance; Vol. 19 No. 5 (2017); 545-553Revista Brasileira de Cineantropometria e Desempenho Humano; v. 19 n. 5 (2017); 545-5531980-00371415-8426reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online)instname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCenghttps://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2017v19n5p545/35463Copyright (c) 2017 Revista Brasileira de Cineantropometria e Desempenho Humanoinfo:eu-repo/semantics/openAccessMaranhao Neto, Geraldo AOliveira, Aldair JPedreiro, RodrigoMarques Neto, SilvioLuz, Leonardo GSilva, Henrique CFarinatti, Paulo TV2018-09-03T11:33:42Zoai:periodicos.ufsc.br:article/49494Revistahttps://periodicos.ufsc.br/index.php/rbcdh/PUBhttps://periodicos.ufsc.br/index.php/rbcdh/oairbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br1980-00371415-8426opendoar:2018-09-03T11:33:42Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC)false
dc.title.none.fl_str_mv Prediction of cardiorespiratory fitness from self-reported data in elderly
Predição da aptidão cardiorrespiratória através de dados auto-relatados em idosos
title Prediction of cardiorespiratory fitness from self-reported data in elderly
spellingShingle Prediction of cardiorespiratory fitness from self-reported data in elderly
Prediction of cardiorespiratory fitness from self-reported data in elderly
Maranhao Neto, Geraldo A
Maranhao Neto, Geraldo A
title_short Prediction of cardiorespiratory fitness from self-reported data in elderly
title_full Prediction of cardiorespiratory fitness from self-reported data in elderly
title_fullStr Prediction of cardiorespiratory fitness from self-reported data in elderly
Prediction of cardiorespiratory fitness from self-reported data in elderly
title_full_unstemmed Prediction of cardiorespiratory fitness from self-reported data in elderly
Prediction of cardiorespiratory fitness from self-reported data in elderly
title_sort Prediction of cardiorespiratory fitness from self-reported data in elderly
author Maranhao Neto, Geraldo A
author_facet Maranhao Neto, Geraldo A
Maranhao Neto, Geraldo A
Oliveira, Aldair J
Pedreiro, Rodrigo
Marques Neto, Silvio
Luz, Leonardo G
Silva, Henrique C
Farinatti, Paulo TV
Oliveira, Aldair J
Pedreiro, Rodrigo
Marques Neto, Silvio
Luz, Leonardo G
Silva, Henrique C
Farinatti, Paulo TV
author_role author
author2 Oliveira, Aldair J
Pedreiro, Rodrigo
Marques Neto, Silvio
Luz, Leonardo G
Silva, Henrique C
Farinatti, Paulo TV
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Maranhao Neto, Geraldo A
Oliveira, Aldair J
Pedreiro, Rodrigo
Marques Neto, Silvio
Luz, Leonardo G
Silva, Henrique C
Farinatti, Paulo TV
description Cardiorespiratory fitness (CRF) is associated with several health outcomes. Some non-exercise equations are available for CRF estimation. However, little is known about the validation of these equations among elderly. The aim of this study was to exam the validity of non-exercise equations with self-reported information in elderly. Participants (n= 93) aged 60 to 91 years measured CRF using maximal cardiopulmonary exercise test. Five non-exercise equations were selected. Data included in the equations (age, sex, weight, height, body mass index, physical activity and smoking) were self-reported. Coefficient of determination (R2) of linear regressions with laboratory-measured VO2 peak ranged from 0.04 to 0.64. The Bland-Altman plots showed higher agreement between achieved and predicted CRF obtained by Jackson and colleagues, and Wier and colleagues equations. On the other hand, the other equations showed lower agreement and overestimation. Our findings provide evidences that two non-exercise equations, previously developed, could be used on the prediction of CRF among elderly.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
"Avaliado por Pares",
Original article
Avaliado por Pares
Artigos Originais
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2017v19n5p545
10.1590/1980-0037.2017v19n5p545
url https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2017v19n5p545
identifier_str_mv 10.1590/1980-0037.2017v19n5p545
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufsc.br/index.php/rbcdh/article/view/1980-0037.2017v19n5p545/35463
dc.rights.driver.fl_str_mv Copyright (c) 2017 Revista Brasileira de Cineantropometria e Desempenho Humano
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Revista Brasileira de Cineantropometria e Desempenho Humano
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. 19 No. 5 (2017); 545-553
Revista Brasileira de Cineantropometria e Desempenho Humano; v. 19 n. 5 (2017); 545-553
1980-0037
1415-8426
reponame:Revista Brasileira de Cineantropometria & Desempenho Humano (Online)
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instname_str Universidade Federal de Santa Catarina (UFSC)
instacron_str UFSC
institution UFSC
reponame_str Revista Brasileira de Cineantropometria & Desempenho Humano (Online)
collection Revista Brasileira de Cineantropometria & Desempenho Humano (Online)
repository.name.fl_str_mv Revista Brasileira de Cineantropometria & Desempenho Humano (Online) - Universidade Federal de Santa Catarina (UFSC)
repository.mail.fl_str_mv rbcdh@contato.ufsc.br || portaldeperiodicos.bu@contato.ufsc.br
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dc.identifier.doi.none.fl_str_mv 10.1590/1980-0037.2017v19n5p545