Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest

Bibliographic Details
Main Author: Materko,Wollner
Publication Date: 2018
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2018000100006
Summary: This study aimed to determine a model for stratifying the maximum oxygen uptake (VO2max) based on heart rate variability (HRV) parameters at rest. It was applied 70 young adult physically active male. After recording the resting tachogram with a heart rate monitor for 5 min, a maximal incremental test was performed to measure VO2max. Based on VO2max percentile, participants were divided into two groups of 35: high (HG) and low (LG) aerobic fitness group. Groups were compared according to: (1) VO2max; (2) Classical HRV parameters and the cardiac deceleration rate (CDR). HG presented significant higher VO2max than LG (48.61 ± 6.70 vs 34.62 ± 3.81 ml.kg-1.min-1). The HG higher values in the time domain HRV parameters, as well as in the high frequency contents in the frequency domain. Also, CDR index was significant higher for HG than LG (p<0.01). The model for predicting VO2max was obtained by backward stepwise multivariate logistic regression assuming as independent variables CDR and pNN50. This model presented 85.74% positive predictive value, 88.51% negative predictive value and 87.16% total accuracy. In conclusion, the use of the proposed model was able to stratify the level of aerobic fitness in young healthy adult males at rest.
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spelling Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at restheart rate variabilitycardiac deceleration rateaerobic fitnesspower spectral densityThis study aimed to determine a model for stratifying the maximum oxygen uptake (VO2max) based on heart rate variability (HRV) parameters at rest. It was applied 70 young adult physically active male. After recording the resting tachogram with a heart rate monitor for 5 min, a maximal incremental test was performed to measure VO2max. Based on VO2max percentile, participants were divided into two groups of 35: high (HG) and low (LG) aerobic fitness group. Groups were compared according to: (1) VO2max; (2) Classical HRV parameters and the cardiac deceleration rate (CDR). HG presented significant higher VO2max than LG (48.61 ± 6.70 vs 34.62 ± 3.81 ml.kg-1.min-1). The HG higher values in the time domain HRV parameters, as well as in the high frequency contents in the frequency domain. Also, CDR index was significant higher for HG than LG (p<0.01). The model for predicting VO2max was obtained by backward stepwise multivariate logistic regression assuming as independent variables CDR and pNN50. This model presented 85.74% positive predictive value, 88.51% negative predictive value and 87.16% total accuracy. In conclusion, the use of the proposed model was able to stratify the level of aerobic fitness in young healthy adult males at rest.Edições Desafio Singular2018-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2018000100006Motricidade v.14 n.1 2018reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2018000100006Materko,Wollnerinfo:eu-repo/semantics/openAccess2024-02-06T17:20:13Zoai:scielo:S1646-107X2018000100006Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:07:45.986081Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest
title Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest
spellingShingle Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest
Materko,Wollner
heart rate variability
cardiac deceleration rate
aerobic fitness
power spectral density
title_short Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest
title_full Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest
title_fullStr Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest
title_full_unstemmed Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest
title_sort Stratification of the level of aerobic fitness based on heart rate variability parameters in adult males at rest
author Materko,Wollner
author_facet Materko,Wollner
author_role author
dc.contributor.author.fl_str_mv Materko,Wollner
dc.subject.por.fl_str_mv heart rate variability
cardiac deceleration rate
aerobic fitness
power spectral density
topic heart rate variability
cardiac deceleration rate
aerobic fitness
power spectral density
description This study aimed to determine a model for stratifying the maximum oxygen uptake (VO2max) based on heart rate variability (HRV) parameters at rest. It was applied 70 young adult physically active male. After recording the resting tachogram with a heart rate monitor for 5 min, a maximal incremental test was performed to measure VO2max. Based on VO2max percentile, participants were divided into two groups of 35: high (HG) and low (LG) aerobic fitness group. Groups were compared according to: (1) VO2max; (2) Classical HRV parameters and the cardiac deceleration rate (CDR). HG presented significant higher VO2max than LG (48.61 ± 6.70 vs 34.62 ± 3.81 ml.kg-1.min-1). The HG higher values in the time domain HRV parameters, as well as in the high frequency contents in the frequency domain. Also, CDR index was significant higher for HG than LG (p<0.01). The model for predicting VO2max was obtained by backward stepwise multivariate logistic regression assuming as independent variables CDR and pNN50. This model presented 85.74% positive predictive value, 88.51% negative predictive value and 87.16% total accuracy. In conclusion, the use of the proposed model was able to stratify the level of aerobic fitness in young healthy adult males at rest.
publishDate 2018
dc.date.none.fl_str_mv 2018-05-01
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 http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2018000100006
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-107X2018000100006
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Edições Desafio Singular
publisher.none.fl_str_mv Edições Desafio Singular
dc.source.none.fl_str_mv Motricidade v.14 n.1 2018
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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