Cargando…
Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns – Baependi Heart Study
BACKGROUND: Heart rate variability (HRV) is a noninvasive method for assessing autonomic function. Age, sex, and chronic conditions influence HRV. OBJECTIVES: Our aim was to evaluate HRV measures exploring differences by age, sex, and race in a sample from a rural area. METHODS: Analytical sample (n...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ubiquity Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583712/ https://www.ncbi.nlm.nih.gov/pubmed/33150136 http://dx.doi.org/10.5334/gh.873 |
_version_ | 1783599439738306560 |
---|---|
author | Geovanini, Glaucylara Reis Vasques, Enio Rodrigues de Oliveira Alvim, Rafael Mill, José Geraldo Andreão, Rodrigo Varejão Vasques, Bruna Kim Pereira, Alexandre Costa Krieger, Jose Eduardo |
author_facet | Geovanini, Glaucylara Reis Vasques, Enio Rodrigues de Oliveira Alvim, Rafael Mill, José Geraldo Andreão, Rodrigo Varejão Vasques, Bruna Kim Pereira, Alexandre Costa Krieger, Jose Eduardo |
author_sort | Geovanini, Glaucylara Reis |
collection | PubMed |
description | BACKGROUND: Heart rate variability (HRV) is a noninvasive method for assessing autonomic function. Age, sex, and chronic conditions influence HRV. OBJECTIVES: Our aim was to evaluate HRV measures exploring differences by age, sex, and race in a sample from a rural area. METHODS: Analytical sample (n = 1,287) included participants from the 2010 to 2016 evaluation period of the Baependi Heart Study, a family-based cohort in Brazil. Participants underwent 24-hour Holter-ECG (Holter) monitoring. To derive population reference values, we restricted our analysis to a ‘healthy’ subset (i.e. absence of medical comorbidities). A confirmatory analysis was conducted with a subgroup sample that also had HRV derived from a resting ECG 10’-protocol obtained during the same time period. RESULTS: The ‘healthy’ subset included 543 participants. Mean age was 40 ± 14y, 41% were male, 74% self-referred as white and mean body-mass-index was 24 ± 3kg/m(2). Time domain HRV measures showed significant differences by age-decade and by sex. Higher values were observed for males across almost all age-groups. Parasympathetic associated variables (rMSSD and pNN50) showed a U-shaped distribution and reversal increase above 60y. Sympathetic-parasympathetic balance variables (SDNN, SDANN) decreased linearly by age. Race differences were no significant. We compared time domain variables with complete data (Holter and resting ECG) between ‘healthy’ versus ‘unhealthy’ groups. Higher HRV values were shown for the ‘healthy’ subset compared with the ‘unhealthy’ group. CONCLUSION: HRV measures vary across age and sex. A U-shaped pattern and a reversal increase in parasympathetic variables may reflect an age-related autonomic dysfunction even in healthy individuals that could be used as a predictor of disease development. |
format | Online Article Text |
id | pubmed-7583712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Ubiquity Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75837122020-11-03 Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns – Baependi Heart Study Geovanini, Glaucylara Reis Vasques, Enio Rodrigues de Oliveira Alvim, Rafael Mill, José Geraldo Andreão, Rodrigo Varejão Vasques, Bruna Kim Pereira, Alexandre Costa Krieger, Jose Eduardo Glob Heart Original Research BACKGROUND: Heart rate variability (HRV) is a noninvasive method for assessing autonomic function. Age, sex, and chronic conditions influence HRV. OBJECTIVES: Our aim was to evaluate HRV measures exploring differences by age, sex, and race in a sample from a rural area. METHODS: Analytical sample (n = 1,287) included participants from the 2010 to 2016 evaluation period of the Baependi Heart Study, a family-based cohort in Brazil. Participants underwent 24-hour Holter-ECG (Holter) monitoring. To derive population reference values, we restricted our analysis to a ‘healthy’ subset (i.e. absence of medical comorbidities). A confirmatory analysis was conducted with a subgroup sample that also had HRV derived from a resting ECG 10’-protocol obtained during the same time period. RESULTS: The ‘healthy’ subset included 543 participants. Mean age was 40 ± 14y, 41% were male, 74% self-referred as white and mean body-mass-index was 24 ± 3kg/m(2). Time domain HRV measures showed significant differences by age-decade and by sex. Higher values were observed for males across almost all age-groups. Parasympathetic associated variables (rMSSD and pNN50) showed a U-shaped distribution and reversal increase above 60y. Sympathetic-parasympathetic balance variables (SDNN, SDANN) decreased linearly by age. Race differences were no significant. We compared time domain variables with complete data (Holter and resting ECG) between ‘healthy’ versus ‘unhealthy’ groups. Higher HRV values were shown for the ‘healthy’ subset compared with the ‘unhealthy’ group. CONCLUSION: HRV measures vary across age and sex. A U-shaped pattern and a reversal increase in parasympathetic variables may reflect an age-related autonomic dysfunction even in healthy individuals that could be used as a predictor of disease development. Ubiquity Press 2020-10-21 /pmc/articles/PMC7583712/ /pubmed/33150136 http://dx.doi.org/10.5334/gh.873 Text en Copyright: © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Geovanini, Glaucylara Reis Vasques, Enio Rodrigues de Oliveira Alvim, Rafael Mill, José Geraldo Andreão, Rodrigo Varejão Vasques, Bruna Kim Pereira, Alexandre Costa Krieger, Jose Eduardo Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns – Baependi Heart Study |
title | Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns – Baependi Heart Study |
title_full | Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns – Baependi Heart Study |
title_fullStr | Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns – Baependi Heart Study |
title_full_unstemmed | Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns – Baependi Heart Study |
title_short | Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns – Baependi Heart Study |
title_sort | age and sex differences in heart rate variability and vagal specific patterns – baependi heart study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583712/ https://www.ncbi.nlm.nih.gov/pubmed/33150136 http://dx.doi.org/10.5334/gh.873 |
work_keys_str_mv | AT geovaniniglaucylarareis ageandsexdifferencesinheartratevariabilityandvagalspecificpatternsbaependiheartstudy AT vasqueseniorodrigues ageandsexdifferencesinheartratevariabilityandvagalspecificpatternsbaependiheartstudy AT deoliveiraalvimrafael ageandsexdifferencesinheartratevariabilityandvagalspecificpatternsbaependiheartstudy AT milljosegeraldo ageandsexdifferencesinheartratevariabilityandvagalspecificpatternsbaependiheartstudy AT andreaorodrigovarejao ageandsexdifferencesinheartratevariabilityandvagalspecificpatternsbaependiheartstudy AT vasquesbrunakim ageandsexdifferencesinheartratevariabilityandvagalspecificpatternsbaependiheartstudy AT pereiraalexandrecosta ageandsexdifferencesinheartratevariabilityandvagalspecificpatternsbaependiheartstudy AT kriegerjoseeduardo ageandsexdifferencesinheartratevariabilityandvagalspecificpatternsbaependiheartstudy |