[Mental health status in railway female workers and its occupational influencing factors].

Objective: To investigate the mental health status of railway female workers and related influencing factors, and to provide a scientific strategy for labor protection regulations in railway female workers. Methods: Cluster sampling was used to select 5033 female workers from Jinan, Nanning, Qinghai-Tibet, and Wuhan railway systems in China from January to August, 2016. A uniform reproductive health questionnaire, as well as the Symptom Checklist-90 (SCL-90) , was used to investigate their general information (age, marital status, education level, and family income) , work type (day shift, night shift, or work on shift) , work position, and the presence or absence of exposure to occupational hazardous factors. The score on each factor of SCL-90 and the positive rate of mental health status were calculated. Results: The positive rate of mental health status was 10.6% in railway female workers. The workers exposed to occupational hazardous factors had a significantly higher positive rate of mental health status than those not exposed to occupational hazardous factors (14.20% vs 8.02%, P<0.01) . There were significant differences in the positive rate of mental health status between workers with different ages, marital status, education levels, histories of abortion, or annual family income levels (P<0.01) . The scores of somatization (1.54±0.62) and horror (1.28±0.47) in SCL-90 were significantly higher than the Chinese adult norm (P<0.01) . The multivariate logistic regression analysis showed that exposure to occupational hazardous factors, night shift, overwork, and carrying heavy objects were associated with mental health problems (OR=1.797, 95%CI: 1.393-2.318; OR=0.641, 95%CI: 0.498-0.827; OR=0.586, 95%CI: 0.439-0.783; OR=0.580, 95%CI: 0.378-0.890) . Conclusion: Railway female workers have lower levels of mental health than the general population and are under significant occupational stress. Exposure to occupational hazardous factors, night shift, overwork, and carrying heavy objects are associated with the development of mental health problems in railway female workers.