Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S1679-45082016AO3683 http://hdl.handle.net/11449/159139 |
Resumo: | Objective: To analyze whether the algorithm used for the heart rate variability assessment (fast Fourier transform versus autoregressive methods) influenced its association with cardiovascular risk factors in male adolescents. Methods: This cross-sectional study included 1,152 male adolescents (aged 14 to 19 years). The low frequency, high frequency components (absolute numbers and normalized units), low frequency/high frequency ratio, and total power of heart rate variability parameters were obtained using the fast Fourier transform and autoregressive methods, while the adolescents were resting in a supine position. Results: All heart rate variability parameters calculated from both methods were different (p<0.05). However, a low effect size (<0.1) was found for all parameters. The intra-class correlation between methods ranged from 0.96 to 0.99, whereas the variation coefficient ranged from 7.4 to 14.8%. Furthermore, waist circumference was negatively associated with high frequency, and positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Systolic blood pressure was negatively associated with total power and high frequency, whereas it was positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Body mass index was negatively associated with high frequency, while it was positively associated with low frequency and sympatovagal balance (p values ranged from <0.001 to 0.007). Conclusion: There are significant differences in heart rate variability parameters obtained with the fast Fourier transform and autoregressive methods in male adolescent; however, these differences are not clinically significant. |
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Repositório Institucional da UNESP |
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2946 |
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Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescentsAutonomic nervous systemAdolescentHeart rate/physiologyCardiovascular systemObjective: To analyze whether the algorithm used for the heart rate variability assessment (fast Fourier transform versus autoregressive methods) influenced its association with cardiovascular risk factors in male adolescents. Methods: This cross-sectional study included 1,152 male adolescents (aged 14 to 19 years). The low frequency, high frequency components (absolute numbers and normalized units), low frequency/high frequency ratio, and total power of heart rate variability parameters were obtained using the fast Fourier transform and autoregressive methods, while the adolescents were resting in a supine position. Results: All heart rate variability parameters calculated from both methods were different (p<0.05). However, a low effect size (<0.1) was found for all parameters. The intra-class correlation between methods ranged from 0.96 to 0.99, whereas the variation coefficient ranged from 7.4 to 14.8%. Furthermore, waist circumference was negatively associated with high frequency, and positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Systolic blood pressure was negatively associated with total power and high frequency, whereas it was positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Body mass index was negatively associated with high frequency, while it was positively associated with low frequency and sympatovagal balance (p values ranged from <0.001 to 0.007). Conclusion: There are significant differences in heart rate variability parameters obtained with the fast Fourier transform and autoregressive methods in male adolescent; however, these differences are not clinically significant.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Univ Pernambuco, Recife, PE, BrazilHosp Israelita Albert Einstein, Sao Paulo, SP, BrazilUniv Estadual Paulista, Presidente Prudente, SP, BrazilUniv Sao Paulo, Sao Paulo, SP, BrazilUniv Estadual Paulista, Presidente Prudente, SP, BrazilInst Israelita Ensino & Pesquisa Albert EinsteinUniv PernambucoHosp Israelita Albert EinsteinUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Germano Soares, Antonio HenriqueFarah, Breno QuintellaCucato, Gabriel GrizzoAlbanez Bastos-Filho, Carmelo JoseDestro Christofaro, Diego Giulliano [UNESP]Marques Vanderlei, Luiz Carlos [UNESP]Rodrigues de Andrade Lima, Aluisio HenriqueRitti-Dias, Raphael Mendes2018-11-26T15:31:33Z2018-11-26T15:31:33Z2016-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article196-201application/pdfhttp://dx.doi.org/10.1590/S1679-45082016AO3683Einstein-sao Paulo. Sao Paulo Sp: Inst Israelita Ensino & Pesquisa Albert Einstein, v. 14, n. 2, p. 196-201, 2016.1679-4508http://hdl.handle.net/11449/15913910.1590/S1679-45082016AO3683S1679-45082016000200013WOS:000385717300013S1679-45082016000200013.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEinstein-sao Paulo0,248info:eu-repo/semantics/openAccess2024-01-20T06:32:39Zoai:repositorio.unesp.br:11449/159139Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:29:59.207513Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
spellingShingle |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents Germano Soares, Antonio Henrique Autonomic nervous system Adolescent Heart rate/physiology Cardiovascular system |
title_short |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_full |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_fullStr |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_full_unstemmed |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_sort |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
author |
Germano Soares, Antonio Henrique |
author_facet |
Germano Soares, Antonio Henrique Farah, Breno Quintella Cucato, Gabriel Grizzo Albanez Bastos-Filho, Carmelo Jose Destro Christofaro, Diego Giulliano [UNESP] Marques Vanderlei, Luiz Carlos [UNESP] Rodrigues de Andrade Lima, Aluisio Henrique Ritti-Dias, Raphael Mendes |
author_role |
author |
author2 |
Farah, Breno Quintella Cucato, Gabriel Grizzo Albanez Bastos-Filho, Carmelo Jose Destro Christofaro, Diego Giulliano [UNESP] Marques Vanderlei, Luiz Carlos [UNESP] Rodrigues de Andrade Lima, Aluisio Henrique Ritti-Dias, Raphael Mendes |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Univ Pernambuco Hosp Israelita Albert Einstein Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Germano Soares, Antonio Henrique Farah, Breno Quintella Cucato, Gabriel Grizzo Albanez Bastos-Filho, Carmelo Jose Destro Christofaro, Diego Giulliano [UNESP] Marques Vanderlei, Luiz Carlos [UNESP] Rodrigues de Andrade Lima, Aluisio Henrique Ritti-Dias, Raphael Mendes |
dc.subject.por.fl_str_mv |
Autonomic nervous system Adolescent Heart rate/physiology Cardiovascular system |
topic |
Autonomic nervous system Adolescent Heart rate/physiology Cardiovascular system |
description |
Objective: To analyze whether the algorithm used for the heart rate variability assessment (fast Fourier transform versus autoregressive methods) influenced its association with cardiovascular risk factors in male adolescents. Methods: This cross-sectional study included 1,152 male adolescents (aged 14 to 19 years). The low frequency, high frequency components (absolute numbers and normalized units), low frequency/high frequency ratio, and total power of heart rate variability parameters were obtained using the fast Fourier transform and autoregressive methods, while the adolescents were resting in a supine position. Results: All heart rate variability parameters calculated from both methods were different (p<0.05). However, a low effect size (<0.1) was found for all parameters. The intra-class correlation between methods ranged from 0.96 to 0.99, whereas the variation coefficient ranged from 7.4 to 14.8%. Furthermore, waist circumference was negatively associated with high frequency, and positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Systolic blood pressure was negatively associated with total power and high frequency, whereas it was positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Body mass index was negatively associated with high frequency, while it was positively associated with low frequency and sympatovagal balance (p values ranged from <0.001 to 0.007). Conclusion: There are significant differences in heart rate variability parameters obtained with the fast Fourier transform and autoregressive methods in male adolescent; however, these differences are not clinically significant. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-01 2018-11-26T15:31:33Z 2018-11-26T15:31:33Z |
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://dx.doi.org/10.1590/S1679-45082016AO3683 Einstein-sao Paulo. Sao Paulo Sp: Inst Israelita Ensino & Pesquisa Albert Einstein, v. 14, n. 2, p. 196-201, 2016. 1679-4508 http://hdl.handle.net/11449/159139 10.1590/S1679-45082016AO3683 S1679-45082016000200013 WOS:000385717300013 S1679-45082016000200013.pdf |
url |
http://dx.doi.org/10.1590/S1679-45082016AO3683 http://hdl.handle.net/11449/159139 |
identifier_str_mv |
Einstein-sao Paulo. Sao Paulo Sp: Inst Israelita Ensino & Pesquisa Albert Einstein, v. 14, n. 2, p. 196-201, 2016. 1679-4508 10.1590/S1679-45082016AO3683 S1679-45082016000200013 WOS:000385717300013 S1679-45082016000200013.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Einstein-sao Paulo 0,248 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
196-201 application/pdf |
dc.publisher.none.fl_str_mv |
Inst Israelita Ensino & Pesquisa Albert Einstein |
publisher.none.fl_str_mv |
Inst Israelita Ensino & Pesquisa Albert Einstein |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808129526340780032 |