Relationships between metabolic factors and Heart Rate Variability parameters. Prevention in occupational health.

Main Article Content

J. Varga K. Kardos I. Nagy L. Szirtes


The rhythmic functioning of the human body is influenced by many factors. The development of innovation in recent decades has made it possible to study heart rate variability.

Objectives: (1) obtaining more accurate information than previously available to understand the complex effects on the human body, (2) logical exploration of the directions and magnitudes of variations in the metabolic factors and HRV parameters, (3) drawing attention to the importance of understanding these complex effects and to use them for prevention in occupational health.

Methods: Using non-invasive methods of the HRV analysis, physiological measurements were taken at workplaces with the participation of people at work, both at rest in lying position and during work. In the present study, we focused on analysing the measurement data from groups where, due to the workplace conditions (e.g. chemical safety regulations), clinical laboratory test results were also available. Measurement results were evaluated using the SPSS software system and other advanced mathematical methods.

Results: Of the more than 5,000 physiological measurements carried out at the workplace over nearly 20 years, 571 had measurement results that could be used to analyze changes in the individuals’ metabolism and heart rate. These analyses enabled us to assess the reported relationships, by taking into account (1) the combined changes in heart rate, blood pressure, blood glucose, cholesterol, triglyceride, body weight and HRV parameters, (2) the effects of age, years of service and life characteristics, and (3) the mathematical reliability criteria. On the basis of the available sample size and individual characteristics, groups with favorable and unfavorable conditions were formed. Differences in the data of these groups compared to each other and to the mean demonstrate the striking nature of the results. The reliability of the results was ensured by the mathematical methods used in the analysis.

Conclusion: The simultaneous variations of metabolic syndrome factors and HRV parameters highlight the potential and the importance of using new methods developed through innovation.

Article Details

How to Cite
VARGA, J. et al. Relationships between metabolic factors and Heart Rate Variability parameters. Prevention in occupational health.. Medical Research Archives, [S.l.], v. 10, n. 1, jan. 2022. ISSN 2375-1924. Available at: <>. Date accessed: 28 nov. 2022. doi:
Research Articles


1. Malik M. and Camm J. Dynamic Electrocardiography. 2004. Blackwell Futura. ISBN:0-4051-1960-8
2. Kamath V. M, Watanabe A. M., Upton R. M. A. Heart Rate variability (HRV). CRC Press. 2013. ISBN:978-1-4398-4980-4
3. Gernot E. Heart Rate variability. 2014. Springer. DOI:10.1007/978-1-4471-4309-3
4. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability standards of measurements, physiological interpretation and clinical use. Circulation. 1996; PMID:8737210
5. Harison M. Wadswort. Handbook of Statistical Methods for Engineers and scientists. 1990; ISBN: 0-07- 067674-7
6. Beckers F. et al. Aging and nonlinear heart rate control in a healthy population. Am J Physio Heart Circ Physio. doi: 10.1152/ajpheart.00903.2005
7. Rajenda A., Joseph K. Paul, Kannathal N., Chou Min Lin, Jasjit S. Sari. Heart rate variability: a review. Med Bio Eng Comput 2006. DOI 10.1007/s11517-006-0119-0
8. Sztajzel Juan. Heart rate variability: a noninvasive electrocardiographic method to measure the autonomic nervous system. Swiss Med Wkly. 2004: 134
9. Togo Fumiharu and Takahashi Masaya. Heart Rate Variability in Occupational Health – a Systematic Review. Industrial Health 2009. 47
10. European Guidelines on cardiovascular disease prevention in clinical practice 8version 2012). European Heart Journal (2012. doi: 10.1093/eurhealtj/ehs092
11. Zhang Yiyi et al. Association of blood pressure and cholesterol levels during young adulthood with later cardiovascular events. Journal of the American College of Cardiology (JACC). DOI:10.1016/j.jacc.2019.03.529
12. Liang Wang et al. Resting heart rate and the risk of developing impaired fasting glucose and diabetes: the Kailuan prospective study. Int. J. Epidemiology. 2015, doi: 10.1093/ije/dyv 079
13. Stephen W. Farell et al. Moderate to high levels of cardiorespiratory fitness attenuate the effects of triglyceride to High-Density Lipoprotein Cholesterol ratio on Coronary Heart Disease mortality in man. MAYO CLINIC. 2017 2017.08.015
14. Vincent Pichot et al. Wavelet transform to quantify heart rate variability and to assess its instantaneous changes. The American Physiological Society. 1999 , 8750-7587/99
15. Goldberger J. et al. Relationship of heart rate variability to parasympathetic effects. Circulation 2001.
16. Oberliner Chistoph et al. Metabolic syndrome in a large chemical company: Prevalence in a screened worksite sample. Acta Diabetologica 2008, 45
17. Whitmann M. et al. Comparison of heart rate blood pressure product versus age-predicted maximum heart rate as predictors of cardiovascular events during exercise stress echocardiography. Am. J. Cardiol 2019. doi:101016/jamcard.2019.05.027
18. Yanping Li. Healthy lifestyle and life expectancy free of cancer, cardiovascular disease, and type 2 diabetes. BMJ.2020. doi: 101136/bmj.1669.
19. Prevention in the connected age. XXII Word Congress on Safety and Health at Work. September 20-23. 2021
20. Varga J. , J. Porszasz, S. Kovacs. Work load and adaptation in Hungarian mines. Complex physiological measurements. Designing for Everyone Proceedings of 11-th Congress IEA Paris 1991 Taylor-Francis, pp:302-304
21. Varga J., S. Kovacs, J. Fazekas. Classification of mine-work using the result of working place physiological measurements. XII-th Congress of IEA Toronto. 1993
22. Varga J., J. Porszasz Investigation of the exertion requirements and the relation of age by Hungarian miners. XIII. Congress IEA Tampere. 1997.
23. Varga J., J. Porszasz, J. Fazekas. Characterization of the complex load of miners utilizing the data increment in heart rate, body temperature and other physiological variables during work. XIV Congress of IEA. San Diego. 2000.
24. Varga J. Opportunities in the measurement of workload based on research results in physiology and ergonomics (in Hungarian) Foglalkozás-egészségügy 2009; 13 (4), 24-32.
25. Varga J. Assessment of workplaces with the physioergonomics method (in Hungarian) Munkavédelem és Biztonságtechnika. 2012; 24 (3) 16-23.
26. Varga J. Chapters of Physioergonomics (in Hungarian) Budapest. Bányaegészségügy-bányabiztonság Alapitvány. ISBN 978-963-08-1338-9. 2012
27. Varga J., I. Nagy, L. Szirtes, J. Porszasz Physiological strain in the Hungarian mining industry: the impact of physical and psychological factors. IJOEM 2016; 29 (4), 1 – 15.
28. Varga J., K. Kardos, I. Nagy, F. Kudasz, L. Szirtes. Effects of age and life characteristics on variations of heart rate variability parameters among active manual workers. Medical Research archives vol 9 issue 10.

Most read articles by the same author(s)