OBJECTIVETo assess the impact of work-related musculoskeletal disorders (WRMDs) on work ability among workers.

METHODSA total of 1686 workers in various occupations, such as administration and education, were enrolled as subjects using the random cluster sampling method. The WRMDs and work ability of all subjects were evaluated using standardized Nordic questionnaires for the analysis of musculoskeletal symptoms and the Work Ability Index (WAI) scale, respectively. Comparison of work ability and its classification between the disease group and the non-disease group was performed by paired t test, RxC table χ2 test, and the Wilcoxon rank-sum test. The relationship between work duration and work ability was analyzed by the Spearman correlation test and a multi-level model.

RESULTS(1). The work ability of workers in the disease group was significantly lower than that in the non-disease group (P<0.0 1). (2) There were significant differences in work ability between workers with different work durations (<10 years, 10-20 years, and ≥20 years) (F=22.124, P< 0.01). With the increase in work duration, the work ability of workers declined in both groups, and the work ability of workers in the disease group (Spearman coefficient rs=-0. 172, P<0.01) had a more significant decline than that in the non-disease group (Spearman coefficient rs=-0.104, P<0.01). WRMDs were important risk factors for the decrease in work ability among workers. (3) There were significant differences in constituent ratios and levels of work ability classification between the disease group and the non-disease group (χ2=121.097, P<0.01; Z=-10.699, P<0.01). The proportions of workers with poor and medium work ability in the disease group were significantly higher than those in the non-disease group, while the proportion of works with excellent work ability in the disease group was significantly lower than that in the non-disease group. The similar characteristics in constituent ratios and levels of work ability classification could be found between the disease group and the non- disease group in various occupations (P<0.01).

CONCLUSIONWRMDs have a harmful effect on the work ability of workers, and the work ability of workers substantially declines with the increase in exposure time (work duration).

Humans ; Musculoskeletal Diseases ; physiopathology ; Occupational Health ; Occupations ; Risk Factors ; Surveys and Questionnaires ; Work Performance

OBJECTIVETo characterize the distribution of work-related musculoskeletal disorders (WRMD) among the occupational population.

METHODSA total of 1686 people of various occupations were recruited with random cluster sampling. Standardized Nordic questionnaires for the analysis of musculoskeletal systems were used to evaluate WRMD at the neck, shoulder, or lower back in the past one year. The annual prevalence of WRMD was determined. Difference analysis was performed with t-test, ANOVA, or chi-square test. The relationship between personal characteristics and WRMD was analyzed by unconditional logistic regression.

RESULTS(1) WRMD were most frequently observed at the neck, followed by the lower back, and was least observed at the shoulder (P < 0.05). The prevalence of WRMD among mental workers was significantly higher than those among physical workers and mental-physical workers (P < 0.01). The prevalence of WRMD among female workers was significantly higher than that among male workers (P < 0.05). (2) In general, the prevalence of WRMD significantly rose with the increases in age (<30, 30∼, 40∼, and ≥ 50 years) or working years (<10, 10∼, and ≥ 20 years) (P < 0.05). (3) In the face of sickness or injury, physical workers and mental workers showed a relatively high absence rate but a relatively low medical visiting rate (13.05%). (4) Unconditional logistic regression analysis showed that mental work, gender, and working year were the main influential factors for WRMD among workers.

CONCLUSIONWorkers of different types of occupation, genders, ages, and working years have different risks of WRMD at the neck, shoulder, and lower back.

Adult ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Musculoskeletal Diseases ; epidemiology ; Occupational Diseases ; epidemiology