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Differential Association of Adiposity Measures with Heart Rate Variability Measures in Koreans

PURPOSE: Although obesity has been associated with imbalances in cardiac autonomic nervous system, it is unclear whether there are differential relationships between adiposity measures and heart rate variability (HRV) measures. We aimed to examine differences in the relationship between adiposity me...

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Autores principales: Yi, Sang Hoon, Lee, Kayoung, Shin, Dong-Gu, Kim, Jun Su, Ki, Hee-Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521274/
https://www.ncbi.nlm.nih.gov/pubmed/23225799
http://dx.doi.org/10.3349/ymj.2013.54.1.55
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author Yi, Sang Hoon
Lee, Kayoung
Shin, Dong-Gu
Kim, Jun Su
Ki, Hee-Cheol
author_facet Yi, Sang Hoon
Lee, Kayoung
Shin, Dong-Gu
Kim, Jun Su
Ki, Hee-Cheol
author_sort Yi, Sang Hoon
collection PubMed
description PURPOSE: Although obesity has been associated with imbalances in cardiac autonomic nervous system, it is unclear whether there are differential relationships between adiposity measures and heart rate variability (HRV) measures. We aimed to examine differences in the relationship between adiposity measures and HRV indices in a healthy Korean population. MATERIALS AND METHODS: In all, 1409 non-smokers (811 males, 598 females) without known histories of cardiovascular (CV), endocrine, or neurological diseases underwent adiposity measurements [(body mass index (BMI), percentage of body fat mass (PBF), and waist-to-hip ratio (WHR)], the HRV assessment (SDNN, RMSSD, LF, HF, LF/HF, and pNN50), and examination for CV risk factors (fasting glucose, LDL-cholesterol, HDL-cholesterol, triglycerides, hs-CRP, and blood pressure). RESULTS: Compared with BMI and PBF, WHR was more strongly correlated with each HRV index and more likely to predict decreased HRV (<15 percentile vs. ≥15 percentile of each HRV index) in ROC curves analysis. In linear regression analysis, all adiposity measures were inversely associated with each HRV measure before adjusting for age, gender, and CV risk factors (p<0.05). After adjusting for the covariates, WHR was inversely related to RMSSD, LF, and pNN50; PBF with RMSSD, HF, and pNN50; BMI with RMSSD (p<0.05). The inversed association between HRV indices and the gender-specific WHR tertile was significant for subjects with BMI ≥25 kg/m(2), but not for those with BMI <25 kg/m(2). CONCLUSION: WHR and PBF appear to be better indicators for low HRV than BMI, and the association between abdominal adiposity and HRV may be stronger in overweight subjects.
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spelling pubmed-35212742013-01-01 Differential Association of Adiposity Measures with Heart Rate Variability Measures in Koreans Yi, Sang Hoon Lee, Kayoung Shin, Dong-Gu Kim, Jun Su Ki, Hee-Cheol Yonsei Med J Original Article PURPOSE: Although obesity has been associated with imbalances in cardiac autonomic nervous system, it is unclear whether there are differential relationships between adiposity measures and heart rate variability (HRV) measures. We aimed to examine differences in the relationship between adiposity measures and HRV indices in a healthy Korean population. MATERIALS AND METHODS: In all, 1409 non-smokers (811 males, 598 females) without known histories of cardiovascular (CV), endocrine, or neurological diseases underwent adiposity measurements [(body mass index (BMI), percentage of body fat mass (PBF), and waist-to-hip ratio (WHR)], the HRV assessment (SDNN, RMSSD, LF, HF, LF/HF, and pNN50), and examination for CV risk factors (fasting glucose, LDL-cholesterol, HDL-cholesterol, triglycerides, hs-CRP, and blood pressure). RESULTS: Compared with BMI and PBF, WHR was more strongly correlated with each HRV index and more likely to predict decreased HRV (<15 percentile vs. ≥15 percentile of each HRV index) in ROC curves analysis. In linear regression analysis, all adiposity measures were inversely associated with each HRV measure before adjusting for age, gender, and CV risk factors (p<0.05). After adjusting for the covariates, WHR was inversely related to RMSSD, LF, and pNN50; PBF with RMSSD, HF, and pNN50; BMI with RMSSD (p<0.05). The inversed association between HRV indices and the gender-specific WHR tertile was significant for subjects with BMI ≥25 kg/m(2), but not for those with BMI <25 kg/m(2). CONCLUSION: WHR and PBF appear to be better indicators for low HRV than BMI, and the association between abdominal adiposity and HRV may be stronger in overweight subjects. Yonsei University College of Medicine 2013-01-01 2012-11-28 /pmc/articles/PMC3521274/ /pubmed/23225799 http://dx.doi.org/10.3349/ymj.2013.54.1.55 Text en © Copyright: Yonsei University College of Medicine 2013 http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yi, Sang Hoon
Lee, Kayoung
Shin, Dong-Gu
Kim, Jun Su
Ki, Hee-Cheol
Differential Association of Adiposity Measures with Heart Rate Variability Measures in Koreans
title Differential Association of Adiposity Measures with Heart Rate Variability Measures in Koreans
title_full Differential Association of Adiposity Measures with Heart Rate Variability Measures in Koreans
title_fullStr Differential Association of Adiposity Measures with Heart Rate Variability Measures in Koreans
title_full_unstemmed Differential Association of Adiposity Measures with Heart Rate Variability Measures in Koreans
title_short Differential Association of Adiposity Measures with Heart Rate Variability Measures in Koreans
title_sort differential association of adiposity measures with heart rate variability measures in koreans
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521274/
https://www.ncbi.nlm.nih.gov/pubmed/23225799
http://dx.doi.org/10.3349/ymj.2013.54.1.55
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