Prediction of cardiorespiratory fitness from self-reported data in elderly
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
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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Revista Brasileira de Cineantropometria & Desempenho Humano (Online) |
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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) instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
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 |
_version_ |
1822181400971837440 |
dc.identifier.doi.none.fl_str_mv |
10.1590/1980-0037.2017v19n5p545 |