1.Association between Job Stress, Psychosocial Well-being and Presenteeism, Absenteeism: Focusing on Railroad Workers.
Inn Shil RYU ; Dae Soon JEONG ; In Ah KIM ; Jae Hoon ROH ; Jong Uk WON
Korean Journal of Occupational and Environmental Medicine 2012;24(3):263-273
OBJECTIVES: The purpose of this study was to determine the current status of presenteeism and absenteeism among railroad workers as well as to investigate whether or not job stress level and psychosocial well-being status are associated with presenteeism and absenteeism. METHODS: As the cross-sectional design, a self-reported questionnaire using the Korean Occupational Stress Scale(KOSS), Psychosocial Well-being Index(PWI), and Work Productivity and Impairment-General Health(WPAI-GH) was administered to railroad workers. Univariate and multivariate logistic regressions were used to analyze the association between job stress, psychosocial well-being status and presenteeism, absenteeism in 1,099 subjects. RESULTS: Among the study subjects, 52.0% and 22.0% experiened presenteeism and absenteeism, respectively. Job stress level in railroad workers was higher than that in general workers. Multivariate logistic regression with presenteeism as the dependent variable showed an elevated odds ratio of 3.56(95% CI 1.48-8.54) in the highest job stress group, and an odds ratio of 3.20(95% CI 1.94-5.26) in the high-risk psychosocial stress group. There was no significant association between job stress level and absenteeism, whereas weak association between psychosocial stress and absenteeism was found. CONCLUSIONS: Since railroad workers have a high level of job stress and elevated experience of presenteeism, a management strategy is required to control presenteeism and absenteeism in order to promote railroad workers' health and safety.
Absenteeism
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Efficiency
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Logistic Models
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Odds Ratio
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Questionnaires
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Railroads
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Sick Leave
2.Comparison of Cardiovascular Disease Characteristics According to the Employment Status among Emergency Department Patients.
Jeong Bae RHIE ; Inn Shil RYU ; In Chul JEONG ; Yoo Seok PARK ; Yong Su LIM ; Sun Hyu KIM ; Jong Uk WON
Korean Journal of Occupational and Environmental Medicine 2011;23(2):164-172
OBJECTIVES: The object of this study was to indentify characteristics of cardiovascular disease in the employed population in comparson with the non-employed group. METHODS: The study subjects were patients aged 20~65 from 3 university based hospital emergency centers and a structured questionnaire were used for comparing the characteristics of cardiovascular disease according to employment status. Multivariate logistic regression was used to analyze the association between employment status and cardiovascular disease risk factors. RESULTS: Among the patients, 573 people were employed (482 males, 91 females) and 251 were non-employed (117 males, 134 females). Compared to the non-employed group, the employed group was distinctive in that it contained patients of younger age, had a male dominant gender distribution, and a higher proportion of smoking and drinking patients. The employed group was less likely to be previously-diagnosed with diabetes, hypertension, chronic renal failure, cardiovascular disease, or cerebrovascular disease. The employed group was generally more stressed out but there was no significant differences in sleeping time. Infarction was more frequent in the employed group, but hemorrhage was more frequent in the non-employed group. According to the multivariate logistic regression analysis results, the odds ratio of drinking and stress was 1.89(95% CI: 1.25~2.86) and 2.68(95% CI: 1.80~3.99) respectively. CONCLUSIONS: Infarction was more frequent in the employed group. Drinking and stress were also more frequent in the employed group. The results of this study don't necessarily mean that stress and drinking are more important than other risk factors but, it means stress and drinking control are more important in the employed group compared to the non-employed group.
Aged
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Cardiovascular Diseases
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Drinking
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Emergencies
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Employment
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Hemorrhage
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Humans
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Hypertension
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Infarction
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Kidney Failure, Chronic
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Logistic Models
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Male
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Odds Ratio
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Questionnaires
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Risk Factors
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Smoke
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Smoking