Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome
Main Author: | |
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Publication Date: | 2018 |
Other Authors: | , , , , , , |
Format: | Article |
Language: | eng |
Source: | Brazilian Journal of Medical and Biological Research |
Download full: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018000800610 |
Summary: | Despite the various standard non-linear measurements used in autonomic modulation (AM) assessments usually being applied to long time-series, such analyses can sometimes be applied to shorter term series. To overcome this disadvantage, chaotic global methods were formulated by putting together heart rate variability (HRV) linear methods. Chaos provides information about vegetative function control related to cardiovascular risks. Applying this method can be useful to investigate the complexity of the health condition after resistance training protocols, as a therapeutic intervention in AM in metabolic syndrome individuals (MetS). This study aimed to compare the effects of two resistance training programs (conventional vs functional) in MetS using nonlinear analysis of AM. MetS subjects (n=50) of both sexes aged 40 to 60 years were randomly divided into two programs; a group of 12 people served as a control group. Both groups performed 30 sessions of training. AM was assessed in the chaos domain by chaotic global techniques. The main results showed that both resistance training, functional and conventional, increased chaos when compared to the control group, respectively, observed by chaotic forward parameter (CFP)1 (13.9±17.9 vs 12.8±14.4 vs -2.23±7.96; P≤0.05) and CFP3 (15.4±19.8 vs 21.9±13.2 vs -4.82±11.4; P≤0.05). In addition, 30 sessions of both resistance programs increased chaos, and non-linear analysis enabled discrimination of AM after interventions when compared to the control group. |
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Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndromeAutonomic modulationNonlinear dynamicsMetabolic syndromeResistance trainingExerciseDespite the various standard non-linear measurements used in autonomic modulation (AM) assessments usually being applied to long time-series, such analyses can sometimes be applied to shorter term series. To overcome this disadvantage, chaotic global methods were formulated by putting together heart rate variability (HRV) linear methods. Chaos provides information about vegetative function control related to cardiovascular risks. Applying this method can be useful to investigate the complexity of the health condition after resistance training protocols, as a therapeutic intervention in AM in metabolic syndrome individuals (MetS). This study aimed to compare the effects of two resistance training programs (conventional vs functional) in MetS using nonlinear analysis of AM. MetS subjects (n=50) of both sexes aged 40 to 60 years were randomly divided into two programs; a group of 12 people served as a control group. Both groups performed 30 sessions of training. AM was assessed in the chaos domain by chaotic global techniques. The main results showed that both resistance training, functional and conventional, increased chaos when compared to the control group, respectively, observed by chaotic forward parameter (CFP)1 (13.9±17.9 vs 12.8±14.4 vs -2.23±7.96; P≤0.05) and CFP3 (15.4±19.8 vs 21.9±13.2 vs -4.82±11.4; P≤0.05). In addition, 30 sessions of both resistance programs increased chaos, and non-linear analysis enabled discrimination of AM after interventions when compared to the control group.Associação Brasileira de Divulgação Científica2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018000800610Brazilian Journal of Medical and Biological Research v.51 n.8 2018reponame:Brazilian Journal of Medical and Biological Researchinstname:Associação Brasileira de Divulgação Científica (ABDC)instacron:ABDC10.1590/1414-431x20187459info:eu-repo/semantics/openAccessTurri-Silva,N.Garner,D.M.Moosavi,S.H.Ricci-Vitor,A.L.Christofaro,D.G.D.Netto Junior,J.Vanzella,L.M.Vanderlei,L.C.M.eng2019-03-19T00:00:00Zoai:scielo:S0100-879X2018000800610Revistahttps://www.bjournal.org/https://old.scielo.br/oai/scielo-oai.phpbjournal@terra.com.br||bjournal@terra.com.br1414-431X0100-879Xopendoar:2019-03-19T00:00Brazilian Journal of Medical and Biological Research - Associação Brasileira de Divulgação Científica (ABDC)false |
dc.title.none.fl_str_mv |
Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome |
title |
Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome |
spellingShingle |
Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome Turri-Silva,N. Autonomic modulation Nonlinear dynamics Metabolic syndrome Resistance training Exercise |
title_short |
Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome |
title_full |
Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome |
title_fullStr |
Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome |
title_full_unstemmed |
Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome |
title_sort |
Effects of resistance training protocols on nonlinear analysis of heart rate variability in metabolic syndrome |
author |
Turri-Silva,N. |
author_facet |
Turri-Silva,N. Garner,D.M. Moosavi,S.H. Ricci-Vitor,A.L. Christofaro,D.G.D. Netto Junior,J. Vanzella,L.M. Vanderlei,L.C.M. |
author_role |
author |
author2 |
Garner,D.M. Moosavi,S.H. Ricci-Vitor,A.L. Christofaro,D.G.D. Netto Junior,J. Vanzella,L.M. Vanderlei,L.C.M. |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Turri-Silva,N. Garner,D.M. Moosavi,S.H. Ricci-Vitor,A.L. Christofaro,D.G.D. Netto Junior,J. Vanzella,L.M. Vanderlei,L.C.M. |
dc.subject.por.fl_str_mv |
Autonomic modulation Nonlinear dynamics Metabolic syndrome Resistance training Exercise |
topic |
Autonomic modulation Nonlinear dynamics Metabolic syndrome Resistance training Exercise |
description |
Despite the various standard non-linear measurements used in autonomic modulation (AM) assessments usually being applied to long time-series, such analyses can sometimes be applied to shorter term series. To overcome this disadvantage, chaotic global methods were formulated by putting together heart rate variability (HRV) linear methods. Chaos provides information about vegetative function control related to cardiovascular risks. Applying this method can be useful to investigate the complexity of the health condition after resistance training protocols, as a therapeutic intervention in AM in metabolic syndrome individuals (MetS). This study aimed to compare the effects of two resistance training programs (conventional vs functional) in MetS using nonlinear analysis of AM. MetS subjects (n=50) of both sexes aged 40 to 60 years were randomly divided into two programs; a group of 12 people served as a control group. Both groups performed 30 sessions of training. AM was assessed in the chaos domain by chaotic global techniques. The main results showed that both resistance training, functional and conventional, increased chaos when compared to the control group, respectively, observed by chaotic forward parameter (CFP)1 (13.9±17.9 vs 12.8±14.4 vs -2.23±7.96; P≤0.05) and CFP3 (15.4±19.8 vs 21.9±13.2 vs -4.82±11.4; P≤0.05). In addition, 30 sessions of both resistance programs increased chaos, and non-linear analysis enabled discrimination of AM after interventions when compared to the control group. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 |
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=S0100-879X2018000800610 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018000800610 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1414-431x20187459 |
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 |
Associação Brasileira de Divulgação Científica |
publisher.none.fl_str_mv |
Associação Brasileira de Divulgação Científica |
dc.source.none.fl_str_mv |
Brazilian Journal of Medical and Biological Research v.51 n.8 2018 reponame:Brazilian Journal of Medical and Biological Research instname:Associação Brasileira de Divulgação Científica (ABDC) instacron:ABDC |
instname_str |
Associação Brasileira de Divulgação Científica (ABDC) |
instacron_str |
ABDC |
institution |
ABDC |
reponame_str |
Brazilian Journal of Medical and Biological Research |
collection |
Brazilian Journal of Medical and Biological Research |
repository.name.fl_str_mv |
Brazilian Journal of Medical and Biological Research - Associação Brasileira de Divulgação Científica (ABDC) |
repository.mail.fl_str_mv |
bjournal@terra.com.br||bjournal@terra.com.br |
_version_ |
1754302946641707008 |