Complex measurements of heart rate variability in obese youths: Distinguishing autonomic dysfunction

Página do item simplificado
dc.contributor.authorGarner, David M.
dc.contributor.authorVanderlei, Franciele Marques [UNESP]
dc.contributor.authorVanderlei, Luiz Carlos Marques [UNESP]
dc.contributor.institutionHeadington Campus
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T16:10:04Z
dc.date.available2019-10-06T16:10:04Z
dc.date.issued2018-01-01
dc.description.abstractIntroduction: Heart rate variability (HRV) can be assessed from RR-intervals. These are derived from an electrocardiographic PQRST-signature and can deviate in a chaotic or irregular manner. In the past, techniques from statistical physics have allowed researchers to study such systems. Objective: This study planned to assess the heart rate dynamics in young obese subjects by nonlinear metrics to heart rate variability. Method: 86 subjects were split equally according to status. Heart rate was recorded with the subjects resting in a dorsal (prone) position for 30 minutes. The complexity of the RR-intervals was assessed by five Entropies, Detrended Fluctuation Analysis, Higuchi and Katz's fractal dimensions Following inconclusive tests of normality we calculated the One-Way Analysis of Variance, Kruskal-Wallis, and the Effect Sizes by Cohen's d significances. Results: It was established that Shannon, Renyi and Tsallis Entropies and the Higuchi and Katz's fractal dimensions could significantly discriminate the two groups. The three entropies were higher in obese youths, suggesting less predictable sets of RR intervals (p < 0.0001; d≈1.0). Whilst the Higuchi (p < 0.003; d ≈0.76) and Katz's (p≈0.02; d≈0.57) fractal dimensions were lower in obese youths. Conclusion: As with chaotic globals an increase in response was detected by three measures of entropy in young obese. This is counter to the decreasing response detected by fractal dimensions. Chaotic globals and entropies are more dependable than fractal dimensions when assessing the responses to obesity.pt
dc.description.affiliationCardiorespiratory Research Group Department of Biological and Medical Sciences Faculty of Health and Life Sciences Oxford Brookes University Headington Campus, Gipsy Lane
dc.description.affiliationDepartment of Physiotherapy UNESP - Univ Estadual Paulista - Presidente Prudente
dc.description.affiliationUnespDepartment of Physiotherapy UNESP - Univ Estadual Paulista - Presidente Prudente
dc.format.extent298-306
dc.identifierhttp://dx.doi.org/10.7322/jhgd.152180
dc.identifier.citationJournal of Human Growth and Development, v. 28, n. 3, p. 298-306, 2018.
dc.identifier.doi10.7322/jhgd.152180
dc.identifier.issn2175-3598
dc.identifier.issn0104-1282
dc.identifier.lattes5860525135106995
dc.identifier.scopus2-s2.0-85058433038
dc.identifier.urihttp://hdl.handle.net/11449/188495
dc.language.isoeng
dc.relation.ispartofJournal of Human Growth and Development
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectDetrended fluctuation analysis
dc.subjectEntropy
dc.subjectFractal dimensions
dc.subjectYouth obesity
dc.titleComplex measurements of heart rate variability in obese youths: Distinguishing autonomic dysfunctionen
dc.typeArtigo
unesp.author.lattes5860525135106995

Arquivos

Coleções

Artigos - Fisioterapia - FCT