| Summary: | 碩士 === 高雄醫學大學 === 公共衛生學研究所 === 91 === The aim of this cross-sectional study was using a questionnaire to survey the prevalence of musculoskeletal symptoms among urban bus drivers, and to examine associations between those suspected risk factors and symptoms. All bus drivers be employed at present by the Kaohsiung City Bus and Ferry Service Administration were our study population（N= 662）. Sending self-administered questionnaires proceeded in March 2003. The participation rate was 85.6%（n=573）, of these, the number of effective questionnaires was 480.
Results of this survey indicate that the lifetime prevalence of musculoskeletal symptoms among drivers was highest for the low back（31.5%）, neck（30%）and shoulders（26.7%）regions, in that order. Furthermore, the percentage of subjects with musculoskeletal symptoms during the previous year to seek medical treatment was lower significantly. Subjects which have had musculoskeletal symptoms in past felt those symptoms associated with their work was significantly more than subjects with opposite opinion.
In univariate correlation analyses of various risk factors, the results suggest an u-shaped relation of 1-year prevalence with age. And taller drivers comparison with the reference group had a significantly increased risk for the neck, shoulders, upper back and wrist symptoms. Heavy drivers or drivers with large BMI have a higher risk of wrist and knee symptoms significantly. Moreover, the risk of the neck, shoulders, low back, hip and knee symptoms was lower significantly in drivers that exercise more frequently. Current or ex-smokers had significantly increased neck and low back symptoms risk. In addition, habits of drinking or chewing a betel palm also increased risk of the neck, shoulders, low back, wrist and knee symptoms significantly. But most of these results had no statistical significant after adjusted by multiple logistic regression.
About effects with factors of the physical workload, the result couldn’t find the existing of a exposure-response effect between the duration of work and the 1-year prevalence of symptoms. Suggest that a health-work effect and other confounding factors couldn’t be excluded. Otherwise, the relationship between weekly working hours and the prevalence of symptoms seemed that the risk arise with the work time, but had no significant by chi-squire test and regression analysis. The analytical result of the rest time of a daily work didn’t reveal a protect effect for drivers expectably.
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