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Fatigue by Analyzing Heart Rate Variability and Its Association Factors among Workers in the same industry  

Jung, Hyun-Jung (Department of Diagnostics, College of Korean Medicine, Deagu Hanny University)
Kim, Seung-Mo (Department of Internal Medicine College of Korean Medicine, Deagu Hanny University)
Back, Young-Doo (Department of clinical pathology of Deagu Health College)
Publication Information
Journal of Society of Preventive Korean Medicine / v.19, no.2, 2015 , pp. 67-74 More about this Journal
Abstract
Objective : The aim of this study was to investigate fatigue-related factors including socio-demographic variables and life styles among workers in the automobile manufacturing industry. Method : The subjects were 22,937 individuals who had received health examination by Korean Medical doctors and responded to questionnaires for 8 months from March to November in 2011. The fatigue index was measured by heart rate variability (HRV) in an automobile manufacturing industry. A multivariate analysis with SPSS version 19.0 was used to examine the relationship between fatigue and other factors including ages, smoke consumption, drinking frequency, exercise frequency, occupational category, conjugal condition. Results : In comparison between normal and very bad level of fatigue, factors of ages, smoking, drinking, and exercise showed significant difference(p<0.05). In addition, when normal and bad fatigue were compared, ages, smoking, exercise also produced significant difference(p<0.05). Furthermore, in normal and good level of fatigue comparison, occupation and smoking yielded significant difference(p<0.05). Finally, in other comparisons between normal and very good fatigue, exercise, smoking and occupation revealed significant difference(p<0.05). Conclusion : The results of this study suggest that age increase affects fatigue negatively, whereas exercise and drinking of once or twice per a week can have positive correlations.
Keywords
Fatigue; Heart Rate Variability; Exercise; Age; Smoke; Drinking;
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Times Cited By KSCI : 6  (Citation Analysis)
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