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Central markers of obesity affect heart rate variability independent of physical activity in young adults
INTRODUCTION: Obesity is considered to be a risk factor for a variety of cardiovascular conditions. Various markers for obesity are used to evaluate effect of obesity on cardiovascular autonomic activity. In light of conflicting reports on effect of obesity on heart rate variability (HRV), use of ob...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480774/ https://www.ncbi.nlm.nih.gov/pubmed/36119331 http://dx.doi.org/10.4103/jfmpc.jfmpc_1970_21 |
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author | Banerjee, Anushna Singh, Nikhilesh Raju, Aruna Gupta, Richa |
author_facet | Banerjee, Anushna Singh, Nikhilesh Raju, Aruna Gupta, Richa |
author_sort | Banerjee, Anushna |
collection | PubMed |
description | INTRODUCTION: Obesity is considered to be a risk factor for a variety of cardiovascular conditions. Various markers for obesity are used to evaluate effect of obesity on cardiovascular autonomic activity. In light of conflicting reports on effect of obesity on heart rate variability (HRV), use of obesity indices, and the effect of physical activity on HRV, we evaluated autonomic activity in young Indian obese adults using revised Indian and World Health Organization (WHO) body mass index (BMI) guidelines for obesity, waist circumference (WC), and waist–hip ratio (WHR) taking into consideration the level of physical activity. METHODS: The study was conducted on 91 young healthy adults. Height, weight, waist, and hip circumference were recorded to determine BMI and WHR. Five-minute electrocardiogram (ECG) was recorded for assessment of HRV. Physical activity was assessed by the WHO Global Physical Activity Questionnaire (GPAQ). RESULTS: Waist circumference showed a negative correlation with the time domain parameters of HRV and high frequency normalized units (HFnu) while a positive correlation with low frequency normalized units (LFnu). In multiple linear regression analysis, time domain indices, HFnu and total power decreased while LFnu increased with an increase in WC. The result was supported by the similar effect of waist–hip ratio categories on HRV in analysis of covariance (ANCOVA). Physical activity had no effect on HRV. CONCLUSION: Central obesity parameters are better predictors of effect of obesity on HRV independent of the effect of physical activity. |
format | Online Article Text |
id | pubmed-9480774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-94807742022-09-17 Central markers of obesity affect heart rate variability independent of physical activity in young adults Banerjee, Anushna Singh, Nikhilesh Raju, Aruna Gupta, Richa J Family Med Prim Care Original Article INTRODUCTION: Obesity is considered to be a risk factor for a variety of cardiovascular conditions. Various markers for obesity are used to evaluate effect of obesity on cardiovascular autonomic activity. In light of conflicting reports on effect of obesity on heart rate variability (HRV), use of obesity indices, and the effect of physical activity on HRV, we evaluated autonomic activity in young Indian obese adults using revised Indian and World Health Organization (WHO) body mass index (BMI) guidelines for obesity, waist circumference (WC), and waist–hip ratio (WHR) taking into consideration the level of physical activity. METHODS: The study was conducted on 91 young healthy adults. Height, weight, waist, and hip circumference were recorded to determine BMI and WHR. Five-minute electrocardiogram (ECG) was recorded for assessment of HRV. Physical activity was assessed by the WHO Global Physical Activity Questionnaire (GPAQ). RESULTS: Waist circumference showed a negative correlation with the time domain parameters of HRV and high frequency normalized units (HFnu) while a positive correlation with low frequency normalized units (LFnu). In multiple linear regression analysis, time domain indices, HFnu and total power decreased while LFnu increased with an increase in WC. The result was supported by the similar effect of waist–hip ratio categories on HRV in analysis of covariance (ANCOVA). Physical activity had no effect on HRV. CONCLUSION: Central obesity parameters are better predictors of effect of obesity on HRV independent of the effect of physical activity. Wolters Kluwer - Medknow 2022-06 2022-06-30 /pmc/articles/PMC9480774/ /pubmed/36119331 http://dx.doi.org/10.4103/jfmpc.jfmpc_1970_21 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Banerjee, Anushna Singh, Nikhilesh Raju, Aruna Gupta, Richa Central markers of obesity affect heart rate variability independent of physical activity in young adults |
title | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
title_full | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
title_fullStr | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
title_full_unstemmed | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
title_short | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
title_sort | central markers of obesity affect heart rate variability independent of physical activity in young adults |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480774/ https://www.ncbi.nlm.nih.gov/pubmed/36119331 http://dx.doi.org/10.4103/jfmpc.jfmpc_1970_21 |
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