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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.
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