Identification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability

Purpose: This cohort study evaluated the effectiveness of noninvasive heart rate variability (HRV) analysis to assess the risk of cardiovascular disease over a period of 8 years. Methods: Personal and working characteristics were collected before biochemistry examinations and 5 min HRV tests from th...

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Autores principales:	Ying-Chuan Wang, Chung-Ching Wang, Ya-Hsin Yao, Wei-Te Wu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	early monitoring heart rate variability cardiovascular diseases professional bus driver cohort study Medicine R
Acceso en línea:	https://doaj.org/article/0c51465d2cd84d9bb0a18da412726adb
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spelling	oai:doaj.org-article:0c51465d2cd84d9bb0a18da412726adb2021-11-11T16:36:52ZIdentification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability10.3390/ijerph1821114861660-46011661-7827https://doaj.org/article/0c51465d2cd84d9bb0a18da412726adb2021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11486https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Purpose: This cohort study evaluated the effectiveness of noninvasive heart rate variability (HRV) analysis to assess the risk of cardiovascular disease over a period of 8 years. Methods: Personal and working characteristics were collected before biochemistry examinations and 5 min HRV tests from the Taiwan Bus Driver Cohort Study (TBDCS) in 2005. This study eventually identified 161 drivers with cardiovascular disease (CVD) and 627 without between 2005 and 2012. Estimation of the hazard ratio was analyzed by using the Cox proportional-hazards model. Results: Subjects with CVD had an overall lower standard deviation of NN intervals (SDNN) than their counterparts did. The SDNN index had a strong association with CVD, even after adjusting for risk factors. Using a median split for SDNN, the hazard ratio of CVD was 1.83 (95% CI = 1.10–3.04) in Model 1 and 1.87 (95% CI = 1.11–3.13) in Model 2. Furthermore, the low-frequency (LF) index was associated with a risk of CVD in the continuous approach. For hypertensive disease, the SDNN index was associated with increased risks in both the continuous and dichotomized approaches. When the root-mean-square of the successive differences (RMSSDs), high frequency (HF), and LF were continuous variables, significant associations with hypertensive disease were observed. Conclusions: This cohort study suggests that SDNN and LF levels are useful for predicting 8 year CVD risk, especially for hypertensive disease. Further research is required to determine preventive measures for modifying HRV dysfunction, as well as to investigate whether these interventions could decrease CVD risk among professional drivers.Ying-Chuan WangChung-Ching WangYa-Hsin YaoWei-Te WuMDPI AGarticleearly monitoringheart rate variabilitycardiovascular diseasesprofessional bus drivercohort studyMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11486, p 11486 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	early monitoring heart rate variability cardiovascular diseases professional bus driver cohort study Medicine R
spellingShingle	early monitoring heart rate variability cardiovascular diseases professional bus driver cohort study Medicine R Ying-Chuan Wang Chung-Ching Wang Ya-Hsin Yao Wei-Te Wu Identification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability
description	Purpose: This cohort study evaluated the effectiveness of noninvasive heart rate variability (HRV) analysis to assess the risk of cardiovascular disease over a period of 8 years. Methods: Personal and working characteristics were collected before biochemistry examinations and 5 min HRV tests from the Taiwan Bus Driver Cohort Study (TBDCS) in 2005. This study eventually identified 161 drivers with cardiovascular disease (CVD) and 627 without between 2005 and 2012. Estimation of the hazard ratio was analyzed by using the Cox proportional-hazards model. Results: Subjects with CVD had an overall lower standard deviation of NN intervals (SDNN) than their counterparts did. The SDNN index had a strong association with CVD, even after adjusting for risk factors. Using a median split for SDNN, the hazard ratio of CVD was 1.83 (95% CI = 1.10–3.04) in Model 1 and 1.87 (95% CI = 1.11–3.13) in Model 2. Furthermore, the low-frequency (LF) index was associated with a risk of CVD in the continuous approach. For hypertensive disease, the SDNN index was associated with increased risks in both the continuous and dichotomized approaches. When the root-mean-square of the successive differences (RMSSDs), high frequency (HF), and LF were continuous variables, significant associations with hypertensive disease were observed. Conclusions: This cohort study suggests that SDNN and LF levels are useful for predicting 8 year CVD risk, especially for hypertensive disease. Further research is required to determine preventive measures for modifying HRV dysfunction, as well as to investigate whether these interventions could decrease CVD risk among professional drivers.
format	article
author	Ying-Chuan Wang Chung-Ching Wang Ya-Hsin Yao Wei-Te Wu
author_facet	Ying-Chuan Wang Chung-Ching Wang Ya-Hsin Yao Wei-Te Wu
author_sort	Ying-Chuan Wang
title	Identification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability
title_short	Identification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability
title_full	Identification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability
title_fullStr	Identification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability
title_full_unstemmed	Identification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability
title_sort	identification of a high-risk group of new-onset cardiovascular disease in occupational drivers by analyzing heart rate variability
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0c51465d2cd84d9bb0a18da412726adb
work_keys_str_mv	AT yingchuanwang identificationofahighriskgroupofnewonsetcardiovasculardiseaseinoccupationaldriversbyanalyzingheartratevariability AT chungchingwang identificationofahighriskgroupofnewonsetcardiovasculardiseaseinoccupationaldriversbyanalyzingheartratevariability AT yahsinyao identificationofahighriskgroupofnewonsetcardiovasculardiseaseinoccupationaldriversbyanalyzingheartratevariability AT weitewu identificationofahighriskgroupofnewonsetcardiovasculardiseaseinoccupationaldriversbyanalyzingheartratevariability
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Identification of a High-Risk Group of New-Onset Cardiovascular Disease in Occupational Drivers by Analyzing Heart Rate Variability

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