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      Heart rate variability and occupational stress—systematic review

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          Abstract

          The aim of this systematic review was to explore studies regarding association between occupational stress and heart rate variability (HRV) during work. We searched PubMed, Web of Science, Scopus, Cinahl and PsycINFO for peer-reviewed articles published in English between January 2005 and September 2017. A total of 10 articles met the inclusion criteria. The included articles were analyzed in terms of study design, study population, assessment of occupational stress and HRV, and the study limitations. Among the studies there were cross-sectional (n=9) studies and one longitudinal study design. Sample size varied from 19 to 653 participants and both females and males were included. The most common assessment methods of occupational stress were the Job Content Questionnaire (JCQ) and the Effort-Reward Imbalance (ERI) questionnaire. HRV was assessed using 24 h or longer Holter ECG or HR monitoring and analyzed mostly using standard time-domain and frequency-domain parameters. The main finding was that heightened occupational stress was found associated with lowered HRV, specifically with reduced parasympathetic activation. Reduced parasympathetic activation was seen as decreases in RMSSD and HF power, and increase in LF/HF ratio. The assessment and analysis methods of occupational stress and HRV were diverse.

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          Most cited references48

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          Heart rate variability: a review.

          Heart rate variability (HRV) is a reliable reflection of the many physiological factors modulating the normal rhythm of the heart. In fact, they provide a powerful means of observing the interplay between the sympathetic and parasympathetic nervous systems. It shows that the structure generating the signal is not only simply linear, but also involves nonlinear contributions. Heart rate (HR) is a nonstationary signal; its variation may contain indicators of current disease, or warnings about impending cardiac diseases. The indicators may be present at all times or may occur at random-during certain intervals of the day. It is strenuous and time consuming to study and pinpoint abnormalities in voluminous data collected over several hours. Hence, HR variation analysis (instantaneous HR against time axis) has become a popular noninvasive tool for assessing the activities of the autonomic nervous system. Computer based analytical tools for in-depth study of data over daylong intervals can be very useful in diagnostics. Therefore, the HRV signal parameters, extracted and analyzed using computers, are highly useful in diagnostics. In this paper, we have discussed the various applications of HRV and different linear, frequency domain, wavelet domain, nonlinear techniques used for the analysis of the HRV.
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            Adverse health effects of high-effort/low-reward conditions.

            J Siegrist (1996)
            In addition to the person-environment fit model (J. R. French, R. D. Caplan, & R. V. Harrison, 1982) and the demand-control model (R. A. Karasek & T. Theorell, 1990), a third theoretical concept is proposed to assess adverse health effects of stressful experience at work: the effort-reward imbalance model. The focus of this model is on reciprocity of exchange in occupational life where high-cost/low-gain conditions are considered particularly stressful. Variables measuring low reward in terms of low status control (e.g., lack of promotion prospects, job insecurity) in association with high extrinsic (e.g., work pressure) or intrinsic (personal coping pattern, e.g., high need for control) effort independently predict new cardiovascular events in a prospective study on blue-collar men. Furthermore, these variables partly explain prevalence of cardiovascular risk factors (hypertension, atherogenic lipids) in 2 independent studies. Studying adverse health effects of high-effort/low-reward conditions seems well justified, especially in view of recent developments of the labor market.
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              An advanced detrending method with application to HRV analysis.

              An advanced, simple to use, detrending method to be used before heart rate variability analysis (HRV) is presented. The method is based on smoothness priors approach and operates like a time-varying finite-impulse response high-pass filter. The effect of the detrending on time- and frequency-domain analysis of HRV is studied.
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                Author and article information

                Journal
                Ind Health
                Ind Health
                INDHEALTH
                Industrial Health
                National Institute of Occupational Safety and Health, Japan
                0019-8366
                1880-8026
                16 June 2018
                November 2018
                : 56
                : 6
                : 500-511
                Affiliations
                [1 ]Institution of Public Health and Clinical Nutrition, Ergonomics, Faculty of Health Sciences, School of Medicine, University of Eastern Finland, Finland
                [2 ]Philosophical Faculty, School of Educational Sciences and Psychology, University of Eastern Finland, Finland
                [3 ]Department of Applied Physics, Faculty of Science and Forestry, University of Eastern Finland, Finland
                [4 ]Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Finland
                Author notes
                *To whom correspondence should be addressed. E-mail: susanna.jarvelin@ 123456uef.fi
                Article
                2017-0190
                10.2486/indhealth.2017-0190
                6258751
                29910218
                756aa16a-6a92-42b2-9230-28baed575d01
                ©2018 National Institute of Occupational Safety and Health

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/ )

                History
                : 26 October 2017
                : 04 June 2018
                Categories
                Review Article

                occupational health,occupational stress,heart rate variability,autonomic nervous system,work

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