Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study

The purpose of the study was to examine the development of a multiple linear regression model to estimate heart rate variability (HRV) parameters using easy-to-measure independent variables in preliminary experiments. HRV parameters (time domain: SDNN, RMSSD, NN50, pNN50; frequency domain: TP, VLF,...

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Autores principales:	Sung-Woo Kim, Hun-Young Park, Won-Sang Jung, Kiwon Lim
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/bba866a4b96945269a81ffa79ece6c2a
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spelling	oai:doaj.org-article:bba866a4b96945269a81ffa79ece6c2a2021-12-01T22:34:02ZPredicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study0046-95801945-724310.1177/00469580211056201https://doaj.org/article/bba866a4b96945269a81ffa79ece6c2a2021-11-01T00:00:00Zhttps://doi.org/10.1177/00469580211056201https://doaj.org/toc/0046-9580https://doaj.org/toc/1945-7243The purpose of the study was to examine the development of a multiple linear regression model to estimate heart rate variability (HRV) parameters using easy-to-measure independent variables in preliminary experiments. HRV parameters (time domain: SDNN, RMSSD, NN50, pNN50; frequency domain: TP, VLF, LF, HF) and the independent variables (e.g., sex, age, body height, body weight, BMI, HR, HR max , HRR) were measured in 75 healthy adults (male n = 27, female n = 48) for estimating HRV. The HRV estimation multiple linear regression model was developed using the backward elimination technique. The regression model’s coefficient of determination for the time domain variables was significantly high (SDNN = R 2 : 72.2%, adjusted R 2 : 69.8%, P < .001; RMSSD = R 2 : 93.1%, adjusted R 2 : 92.1%, P < .001; NN50 = R 2 : 78.0%, adjusted R 2 : 74.9%, P < .001; pNN50 = R 2 : 89.1%, adjusted R 2 : 87.4%, P < .001). The coefficient of determination of the regression model for the frequency domain variable was moderate (TP = R 2 : 75.6%, adjusted R 2 : 72.6%, P < .001; VLF = R 2 : 41.6%, adjusted R 2 : 40.3%, P < .001; LF = R 2 : 54.6%, adjusted R 2 : 49.2%, P < .001; HF = R 2 : 67.5%, adjusted R 2 : 63.4%, P < .001). The coefficient of determination of time domain variables in the developed multiple regression models was shown to be very high (adjusted R 2 : 69.8%–92.1%, P < .001), but the coefficient of determination of frequency domain variables was moderate (adjusted R 2 : 40.3%–72.6%, P < .001). In addition to the equipment used for measuring HRV in clinical trials, this study confirmed that simple physiological variables could predict HRV.Sung-Woo KimHun-Young ParkWon-Sang JungKiwon LimSAGE PublishingarticlePublic aspects of medicineRA1-1270ENInquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 58 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Public aspects of medicine RA1-1270
spellingShingle	Public aspects of medicine RA1-1270 Sung-Woo Kim Hun-Young Park Won-Sang Jung Kiwon Lim Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study
description	The purpose of the study was to examine the development of a multiple linear regression model to estimate heart rate variability (HRV) parameters using easy-to-measure independent variables in preliminary experiments. HRV parameters (time domain: SDNN, RMSSD, NN50, pNN50; frequency domain: TP, VLF, LF, HF) and the independent variables (e.g., sex, age, body height, body weight, BMI, HR, HR max , HRR) were measured in 75 healthy adults (male n = 27, female n = 48) for estimating HRV. The HRV estimation multiple linear regression model was developed using the backward elimination technique. The regression model’s coefficient of determination for the time domain variables was significantly high (SDNN = R 2 : 72.2%, adjusted R 2 : 69.8%, P < .001; RMSSD = R 2 : 93.1%, adjusted R 2 : 92.1%, P < .001; NN50 = R 2 : 78.0%, adjusted R 2 : 74.9%, P < .001; pNN50 = R 2 : 89.1%, adjusted R 2 : 87.4%, P < .001). The coefficient of determination of the regression model for the frequency domain variable was moderate (TP = R 2 : 75.6%, adjusted R 2 : 72.6%, P < .001; VLF = R 2 : 41.6%, adjusted R 2 : 40.3%, P < .001; LF = R 2 : 54.6%, adjusted R 2 : 49.2%, P < .001; HF = R 2 : 67.5%, adjusted R 2 : 63.4%, P < .001). The coefficient of determination of time domain variables in the developed multiple regression models was shown to be very high (adjusted R 2 : 69.8%–92.1%, P < .001), but the coefficient of determination of frequency domain variables was moderate (adjusted R 2 : 40.3%–72.6%, P < .001). In addition to the equipment used for measuring HRV in clinical trials, this study confirmed that simple physiological variables could predict HRV.
format	article
author	Sung-Woo Kim Hun-Young Park Won-Sang Jung Kiwon Lim
author_facet	Sung-Woo Kim Hun-Young Park Won-Sang Jung Kiwon Lim
author_sort	Sung-Woo Kim
title	Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study
title_short	Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study
title_full	Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study
title_fullStr	Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study
title_full_unstemmed	Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study
title_sort	predicting heart rate variability parameters in healthy korean adults: a preliminary study
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/bba866a4b96945269a81ffa79ece6c2a
work_keys_str_mv	AT sungwookim predictingheartratevariabilityparametersinhealthykoreanadultsapreliminarystudy AT hunyoungpark predictingheartratevariabilityparametersinhealthykoreanadultsapreliminarystudy AT wonsangjung predictingheartratevariabilityparametersinhealthykoreanadultsapreliminarystudy AT kiwonlim predictingheartratevariabilityparametersinhealthykoreanadultsapreliminarystudy
_version_	1718404123970240512

Predicting Heart Rate Variability Parameters in Healthy Korean Adults: A Preliminary Study

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