Exercise and non-exercise aerobic power prediction models using six-minute walk test
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | MedicalExpress (São Paulo. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292016000500002 |
Resumo: | BACKGROUND AND OBJECTIVE: A simple, low-cost approach commonly used to objectively analyze the cardiorespiratory fitness of individuals with different health conditions is the six-minute walk test (6-MWT). Our objective was to develop peak aerobic power prediction using the six-minute walk test in healthy older men. METHODS: We measured body composition (body mass [BM], body mass index [BMI], fat percentage [FAT]) and peak aerobic power breath-by-breath during cardiopulmonary exercise testing (CPET [velocity, heart rate [HR] and VO2 at the anaerobic threshold and peak]) and a 6-MWT (distance [D], weight by distance [WxD], HR and oxygen consumption [VO2] at peak) in 76 healthy older men aged 65 to 80 years (69.1 ± 0.3 yrs-old). RESULTS: We observed significant correlations for VO2peak during the 6-MWT as a function of WxD (R = 0.75, P < 0.0005), BM (R = 0.56, P < 0.0005), D (R = 0.43, P = 0.0004) and maximum HR (R = 0.37, P = 0.001). Distance correlated significantly with FAT (R = -0.43, P = 0.005), BMI (R = -0.36, P = 0.021) and age (R = -0.31, P < 0.045), whereas WxD correlated with BM (R = 0.86, P<0.005).The inclusion of WxD increased the R2 from 0.65 to 0.74 and decreased the estimative error while yielding the following equation (R = 0.86, standard error of the estimate (SEE) = 182.1 mL•min-1, P < 0.0005) to predict VO2peak: VO2peak = 962.2 + (0.037 x WxD) + (8.565 x maximum HR). A non-exercise model was obtained by univariate regressions but not multiple regressions. The FAT (R = 0.43, SEE = 702.2 m, P < 0.005) yielded the best model for predicting distance, i.e., distance = 702.2 - (3.067 x FAT). CONCLUSION: Our prediction model seems to accurately estimate VO2peak in healthy older men primarily when WxD is considered. |
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Exercise and non-exercise aerobic power prediction models using six-minute walk testAgingCardiorespiratory FitnessMaleMaximal Oxygen Uptake BACKGROUND AND OBJECTIVE: A simple, low-cost approach commonly used to objectively analyze the cardiorespiratory fitness of individuals with different health conditions is the six-minute walk test (6-MWT). Our objective was to develop peak aerobic power prediction using the six-minute walk test in healthy older men. METHODS: We measured body composition (body mass [BM], body mass index [BMI], fat percentage [FAT]) and peak aerobic power breath-by-breath during cardiopulmonary exercise testing (CPET [velocity, heart rate [HR] and VO2 at the anaerobic threshold and peak]) and a 6-MWT (distance [D], weight by distance [WxD], HR and oxygen consumption [VO2] at peak) in 76 healthy older men aged 65 to 80 years (69.1 ± 0.3 yrs-old). RESULTS: We observed significant correlations for VO2peak during the 6-MWT as a function of WxD (R = 0.75, P < 0.0005), BM (R = 0.56, P < 0.0005), D (R = 0.43, P = 0.0004) and maximum HR (R = 0.37, P = 0.001). Distance correlated significantly with FAT (R = -0.43, P = 0.005), BMI (R = -0.36, P = 0.021) and age (R = -0.31, P < 0.045), whereas WxD correlated with BM (R = 0.86, P<0.005).The inclusion of WxD increased the R2 from 0.65 to 0.74 and decreased the estimative error while yielding the following equation (R = 0.86, standard error of the estimate (SEE) = 182.1 mL•min-1, P < 0.0005) to predict VO2peak: VO2peak = 962.2 + (0.037 x WxD) + (8.565 x maximum HR). A non-exercise model was obtained by univariate regressions but not multiple regressions. The FAT (R = 0.43, SEE = 702.2 m, P < 0.005) yielded the best model for predicting distance, i.e., distance = 702.2 - (3.067 x FAT). CONCLUSION: Our prediction model seems to accurately estimate VO2peak in healthy older men primarily when WxD is considered.Mavera Edições Técnicas e Científicas Ltda2016-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292016000500002MedicalExpress v.3 n.5 2016reponame:MedicalExpress (São Paulo. Online)instname:Mavera Edições Científicas e Técnicas Ltda-MEinstacron:METC10.5935/MedicalExpress.2016.05.02info:eu-repo/semantics/openAccessRaso,VagnerMatsudo,Sandra Marcela MahechaSantana,Marcos Gonçalves deBoscolo,Rita AuréliaViana,Valter Antônio RochaGrassmann,VivianeTufik,SergioMello,Marco Túlio deeng2016-11-04T00:00:00Zoai:scielo:S2358-04292016000500002Revistahttp://www.medicalexpress.net.brhttps://old.scielo.br/oai/scielo-oai.php||medicalexpress@me.net.br2358-04292318-8111opendoar:2016-11-04T00:00MedicalExpress (São Paulo. Online) - Mavera Edições Científicas e Técnicas Ltda-MEfalse |
dc.title.none.fl_str_mv |
Exercise and non-exercise aerobic power prediction models using six-minute walk test |
title |
Exercise and non-exercise aerobic power prediction models using six-minute walk test |
spellingShingle |
Exercise and non-exercise aerobic power prediction models using six-minute walk test Raso,Vagner Aging Cardiorespiratory Fitness Male Maximal Oxygen Uptake |
title_short |
Exercise and non-exercise aerobic power prediction models using six-minute walk test |
title_full |
Exercise and non-exercise aerobic power prediction models using six-minute walk test |
title_fullStr |
Exercise and non-exercise aerobic power prediction models using six-minute walk test |
title_full_unstemmed |
Exercise and non-exercise aerobic power prediction models using six-minute walk test |
title_sort |
Exercise and non-exercise aerobic power prediction models using six-minute walk test |
author |
Raso,Vagner |
author_facet |
Raso,Vagner Matsudo,Sandra Marcela Mahecha Santana,Marcos Gonçalves de Boscolo,Rita Aurélia Viana,Valter Antônio Rocha Grassmann,Viviane Tufik,Sergio Mello,Marco Túlio de |
author_role |
author |
author2 |
Matsudo,Sandra Marcela Mahecha Santana,Marcos Gonçalves de Boscolo,Rita Aurélia Viana,Valter Antônio Rocha Grassmann,Viviane Tufik,Sergio Mello,Marco Túlio de |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Raso,Vagner Matsudo,Sandra Marcela Mahecha Santana,Marcos Gonçalves de Boscolo,Rita Aurélia Viana,Valter Antônio Rocha Grassmann,Viviane Tufik,Sergio Mello,Marco Túlio de |
dc.subject.por.fl_str_mv |
Aging Cardiorespiratory Fitness Male Maximal Oxygen Uptake |
topic |
Aging Cardiorespiratory Fitness Male Maximal Oxygen Uptake |
description |
BACKGROUND AND OBJECTIVE: A simple, low-cost approach commonly used to objectively analyze the cardiorespiratory fitness of individuals with different health conditions is the six-minute walk test (6-MWT). Our objective was to develop peak aerobic power prediction using the six-minute walk test in healthy older men. METHODS: We measured body composition (body mass [BM], body mass index [BMI], fat percentage [FAT]) and peak aerobic power breath-by-breath during cardiopulmonary exercise testing (CPET [velocity, heart rate [HR] and VO2 at the anaerobic threshold and peak]) and a 6-MWT (distance [D], weight by distance [WxD], HR and oxygen consumption [VO2] at peak) in 76 healthy older men aged 65 to 80 years (69.1 ± 0.3 yrs-old). RESULTS: We observed significant correlations for VO2peak during the 6-MWT as a function of WxD (R = 0.75, P < 0.0005), BM (R = 0.56, P < 0.0005), D (R = 0.43, P = 0.0004) and maximum HR (R = 0.37, P = 0.001). Distance correlated significantly with FAT (R = -0.43, P = 0.005), BMI (R = -0.36, P = 0.021) and age (R = -0.31, P < 0.045), whereas WxD correlated with BM (R = 0.86, P<0.005).The inclusion of WxD increased the R2 from 0.65 to 0.74 and decreased the estimative error while yielding the following equation (R = 0.86, standard error of the estimate (SEE) = 182.1 mL•min-1, P < 0.0005) to predict VO2peak: VO2peak = 962.2 + (0.037 x WxD) + (8.565 x maximum HR). A non-exercise model was obtained by univariate regressions but not multiple regressions. The FAT (R = 0.43, SEE = 702.2 m, P < 0.005) yielded the best model for predicting distance, i.e., distance = 702.2 - (3.067 x FAT). CONCLUSION: Our prediction model seems to accurately estimate VO2peak in healthy older men primarily when WxD is considered. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292016000500002 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292016000500002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/MedicalExpress.2016.05.02 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Mavera Edições Técnicas e Científicas Ltda |
publisher.none.fl_str_mv |
Mavera Edições Técnicas e Científicas Ltda |
dc.source.none.fl_str_mv |
MedicalExpress v.3 n.5 2016 reponame:MedicalExpress (São Paulo. Online) instname:Mavera Edições Científicas e Técnicas Ltda-ME instacron:METC |
instname_str |
Mavera Edições Científicas e Técnicas Ltda-ME |
instacron_str |
METC |
institution |
METC |
reponame_str |
MedicalExpress (São Paulo. Online) |
collection |
MedicalExpress (São Paulo. Online) |
repository.name.fl_str_mv |
MedicalExpress (São Paulo. Online) - Mavera Edições Científicas e Técnicas Ltda-ME |
repository.mail.fl_str_mv |
||medicalexpress@me.net.br |
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1754734597087690752 |