OBJECTIVES To explore the relationship between symptoms of work-related musculoskeletal disorders (WMSDs) and health-related, quality of life (QoL). METHODS WMSDs symptoms were measured by a self-assessed questionnaire on musculoskeletal disorders symptoms and health-related QoL was measured by SF-36. Analysis of variance and logistic regression were used to analyze the relationship between WMSDs and health-related QoL. RESULTS The prevalence of WMSDs was 64.6% in the upper limbs, 44.0% in the low back, and 39.6% in the lower limbs. Subjects with musculoskeletal symptoms had significantly lower scores on all SF-36 dimensions than those without symptoms among all body parts. Compared with the control, the case's odds ratio was higher in all SF-36 dimensions, especially for physical functioning. CONCLUSIONS WMSDs have a negative effect on health-related QoL. The essential prevention of WMSDs requires intervention for health promotion in manufacturing workers.
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OBJECTIVES This study was performed to examine the health status measured by SF-36 and medical facilities utilization according to the health status measured by SF-36 in male workers. METHODS A self-administered questionnaire survey was administered to 786 male workers. RESULTS In bivariate analysis, physical functioning score was significantly different among the workers according to age, educational level, economic level, and job type. The bodily pain score and general health score were significantly different according to the workers'economic level and job type. The vitality score was significantly different according to the workers'age, educational level, economic level, and job type. The social functioning score was significantly different according to the workers'age, marital status, economic level, and job type. The role limitation emotion score was significantly different according to the workers'age, marital status, and job type. The mental health score was significantly different according to the workers'marital status, economic level, and job type (p<0.05). The SF-36 scores increased with higher workers'self-rated health status (p<0.05). The self-rated current health status of the workers was good when their economic status was high, their previous year health status was good and their SF-36 score was high (p<0.05). The rates of morbidity incidence and medical facilities utilization for 1 year were lower when workers'SF-36 score was high (p<0.05). CONCLUSIONS In consideration of the above findings, SF-36 is suitable to measure health status and predict the medical utilization.
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