OBJECTIVES To determine the synthetic risk factors of musculoskeletal disorders, and to examine effect on musculoskeletal symptoms of physical work intensity and change of work intensity. METHODS Self-administered questionnaraire survey was conducted on 588 motor engine assembly workers, in Chanwon, Kyungnam provance, Korea, from April 1 to May 31, 2003. The contents of the questionnaire investigation included general characteristic items, workrelated characteristic items, presence of musculoskeletal symptoms, ergonomic risk factors items, job stress items, current physical work intensity and changes of work intensity items. The results underwent statistical analysis with frequency test, t-test, and logistic regression. The statistical significance level was 0.05, and SAS(v8.1) was used. RESULTS Multiple logistic regression analysis was used to examine the relationship between risk factors and musculoskeletal symptoms. From the results, significant variables were high Quick Exposure Check (QEC) score, high job demand control, physical work intensity, change of work intensity. CONCLUSION Among the known risk factors of musculoskeletal disorders, the outbreak of musculoskeletal symptoms was confirmed to be correlated with age, tenure, ergonomic risk factors, and job stress. Physical work intensity and the changes of work intensity were also related to musculoskeletal symptoms.
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BACKGROUND S: The objective of this study is to explore the relationships of working hours and work intensity with sleep disturbance among 12-hour shift workers in the automobile factory in Korea. METHODS A questionnaire and a sleep diary were distributed among 2200 (25% of total workers) and 300 workers who were randomly selected in the 8700 workers in one car factory. Among the 300 randomely selected workers, who were randomly selected, 262 workers filled out a sleep diary. For a questionnaire, 2200 (25%) among 8700 workers were randomly selected, 1200 (54% response rate) of whom filled out the questionnaire. The cross-sectional questionnaire and the sleep diary during 14 consecutive days were distributed and collected by workers' representatives, who were trained for the participatory action research in this study. One hundred and sixty workers' sleep diaries and questionnaires were merged by the same worker and used for the analysis in this study. Logistic regression analysis for repeated measurements was modeled using the prevalence of severe sleepiness at work (i.e. Karonlinska Sleepiness Scale 7 or higher) as dependent variable and working hours, sleep pattern, work intensity and health behaviours as independent variables. RESULTS The prevalence of severe sleepiness at the end of work was more than 60% after finishing night shift in the automobile factory. The main risk factors related to the severe sleepiness at the end of work were the night shift, long working hours more than 10 hours, the higher frequency of night shift per month, less free time between shifts, poor quality of sleep, deficit of sleeping hours and intensified work (reducing tendency of rest time per day and increasing tendency of additional working time) such as increasing tendency of absolute surplus value. DISCUSSION We suggest that the 12-hour shift system, long working hours, intensified work and poor quantity as well as quality of sleep were the main risk factors for the severe sleepiness among the shift workers in the automobile factory in Korea.
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