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Objectives: Due to innovation developments new methods can be applied also in the field of occupational health. Results of physiological measurements carried out in the workplace during work support the observation that age and life characteristics of the examined persons, work environment, working system, the working process significantly influence the changes of heart rate variability (HRV) parameters. These sources of information may be useful in developing health-oriented prevention programs.
Methods: The physiological measurements were performed in the workplace in lying (resting) position, during the working process their results (HR, TP, VLF, LH, HF) were processed by correlation and regression analysis and statistically evaluated as a function of age and life characteristics (hypertension, smoking, body mass) and metabolism-syndrome parameters.
Results: Evaluation of the results of nearly 4000 physiological measurements carried out in the workplace of more than 1000 participants showed that age had a close positive correlation with heart rate and close negative correlation with the HRV parameters (TP, VLF, LF, and HF). Considering also life characteristics (hypertension, smoking, body mass index, cholesterol, and triglyceride) beside age, can provide useful information which can be beneficial to develop health-oriented prevention programs.
Conclusions: The results call attention to the possibilities of applying new methods (like HRV analysis) in the field of occupational health and work safety which can be used in the future in education, research, or organization of work, and for interest the health and safety of workers. The developments are multidisciplinary, complex and require the collaboration of physicians, engineers, computer scientists, and mathematicians.
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2. Malik M., Camm J. Dynamic Electrocardiography. 2004. Blackwell Futura. ISBN:0-4051-1960-8
3. Kamath VM, Watanabe AM., Upton RM. A. Heart Rate variability (HRV). CRC Press. 2013. ISBN: 978-1-4398-4980-4
4. Gernot E. Heart Rate variability. 2014. Springer. DOI:10.1007/978-1-4471-4309-3
5. 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
6. Yamasaki Y., M.Kadoma, M Matsuhisa et al. Diurnal heart rate variability in healthy subjects: effects of aging and sex difference. DOI:10.1152/ajphert.1996. 271.1. H303
7. Yeragani VK, E Sobolewski, J Kay, et al. Effects of age on long-term heart rate variability. Cardiovascular Research. Doi:10.1016/s0008-6363(97)00107-7
8. Umetani K, DH Singer, R McCraty et al. Twenty-four hour time domain Heart Rate Variability and Heart Rate: relations to age and gender over nine decades.ROI:10.1016/s0735-1097(97)00554-8
9. Fukusaki C., Kawakuba K., YamamotoY. Assessment of the primary effect of aging on heart rate variability in humans. DOI:10.1007/BF022780/6
10. Braun Ch, P Kowallik, A Freking et al. Demonstration of nonlinear components in heart rate variability of healthy persons. Doi.org/10.1152/ajpheart:1998.275.5H1577
11. Agelink MW, R Malessa, B Baumann et al. Standardized tests of heart rate variability: normal ranges obtained from 309 healthy humans and effects of age, gender and heart rate. DOI:10.1007/BF02322093
12. Kuss O, B Schumann, A Kluttig et al. Time domain parameters can be estimated with less statistical error than frequency domain parameters in the analysis of heart rate variability. doi:10.1016/jelectrocard.2008.02.014 Epub 2008.
13. Vandeput S, B Verheyden, AE Aubert, SV Huffel. Nonlinear heart rate variability in a healthy population: influence of age. DOI:10.1109/CIC.2008.4748975
14. Acharya UR., KP Joseph, N Kannathal, Chao M, J S Suri. Heart rate variability: a review. doi:10.1007/s11517-006-0119-0
15. Acharya UR, N Kannathal, OW. Sing et al. Heart rate analysis in normal subjects of various age groups. doi:10.1186/1475-925x-3-24
16. Goldberger JJ., S Challapalli, RTung, M, .A Parker, A H. Kadish. Relationship of HRV to parasympathetic effect. doi.org/10.1161/01.cir.103.15.1977
17. Corino VD, M Mattencci, LT Mainardi. Analysis of heart rate variability to predict patient age in a healthy population. DOI:10.1055/s-0038-1625405
18. Dietrich DF, Ch Schindler, J Schwartz et al. Heart rate variability in an aging population and its association with lifestyle and cardiovascular risk factors: results of the SAPALDIA study. doi.org/10.1093/europace/enl063
19. Ditrich DF, J Schwartz, Ch Schindler et al. Effects of passive smoking on heart rate and blood pressure: on observational study. doi:10.1093/ije/dym031
20. Amelswort L.G, EG Schouten, AC Maan et al. Occupational determinants of heart rate variability. doi:10.1007/s004200050425
21. Togo F and M Takahasi. Heart Rate Variability in Occupational Health – a Systematic Review. doi: 10.2486/indhealts 47.589
22. Oberlinner C, M G Ott , M Nasterlacch , M Yong. P Messer, A Zober, S Lang Medical program for shift workers – impacts on chronic disease and mortality outcomes. , doi.10.5271/sjweh.1332.
23. 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, ISSN 0014-0139
24. 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 ISBN:0 7484 0060 5
25. Varga J, J Porszasz. Investigation of the exertion requirements and the relation of age by Hungarian miners. Procedings 13th. IEA Congress. Tampere. 1997. From Experience to Innovation. ISBN:951-802-197-X
26. 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. ISBN: 978-945289135
27. Varga J, Opportunities in the measurement of workload based on research results in physiology and ergonomics (in Hungarian) ISSN:1417-1015
28. Varga J, Physioergo method of workplaces survey (in Hungarian) Munkavédelem és Biztonságtechnika. ISSN 0865-3151
29. Varga J, Chapters of Physioergonomics (in Hungarian) Budapest. Bányaegészségügy-Bányabiztonság Alapitvány. ISBN 978-963-08-1338-9. 2012
30. Varga J, I Nagy, L Szirtes, J Porszasz. Physiological strain in the Hungarian mining industry: the impact of physical and psychological factors. doi.org/10.13075/ijomeh.1896.00616