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Objective@#To investigate the prevalence of reproductive system diseases among female workers in a city and related occupational influencing factors.@*Methods@#From June to September, 2016, a cross-sectional survey was used to select 9 944 female workers from six districts of Beijing and then a face-to-face questionnaire survey was performed. Univariate analysis using chi-square test and multivariate logistic regression analysis were used to investigate the risk factors for reproductive system diseases.@*Results@#The age of 9944 female workers ranged from 18 to 65 years (mean 35.53±9.52 years) , and among them, 7 351 (73.92%) were married. The overall prevalence rate of reproductive system diseases among these 9944 female workers during the past three months was 28.29%, and the prevalence rates of hyperplasia of mammary glands, vaginitis, and hysteromyoma were 15.54%, 11.25%, and 6.77%, respectively. After adjustment for age, marital status, education level, and annual family income, the multivariate logistic regression analysis showed that frequent overtime work (odds ratio[OR]=1.119, 95% confidence interval[CI]: 1.070-1.343) , frequent night shifts (OR=1.198, 95%CI: 1.054-1.361) , standing for a long time (OR=1.197, 95%CI: 1.063-1.347) , sitting for a long time (OR=1.327, 95%CI: 1.191-1.479) , heavy workload (OR=1.429, 95%CI: 1.262-1.615) , exposure to lead (OR=1.696, 95%CI: 1.307-2.201) , exposure to mercury (OR=1.452, 95%CI: 1.086-1.940) , and exposure to ionizing radiation (OR=1.679, 95%CI: 1.424-1.980) were associated with reproductive system diseases.@*Conclusion@#The prevalence of reproductive system diseases among female workers in Beijing is not optimistic. Reproductive system diseases are associated with frequent overtime work, frequent night shifts, standing for a long time, sitting for a long time, heavy workload, and exposure to lead, mercury, and ionizing radiation.
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Objective@#To investigate the status of abnormal menstruation in female nurses in a comprehensive hospital in Beijing, China and related influencing factors.@*Methods@#In July 2016, a cross-sectional survey was performed, and a self-administered questionnaire was used to investigate the status of menstruation and occupation in female nurses in a comprehensive hospital in Beijing. The chi-square test and a multivariate logistic regression analysis were used for statistical analysis.@*Results@#A total of 892 female nurses were investigated, and among them, 485 experienced abnormal menstruation within the past three months, resulting in an abnormal menstruation rate of 54.37%. The female nurses who were exposed to harmful factors during work, negative life events, or high workload had a significantly higher abnormal menstruation rate than those who were not exposed to such factors (χ2=5.199, 16.186, and 10.227, P<0.05 or P<0.01) . Negative life events (odds ratio [OR]=1.813, 95% confidence interval[CI]: 1.317-2.496) and high workload (OR=1.461, 95%CI: 1.112-1.918) were risk factors for abnormal menstruation.@*Conclusion@#Nurses have an abnormal menstruation rate as high as 54.37%, and high workload and negative life events were risk factors for abnormal menstruation in nurses.
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Objective@#To evaluate the mental health of female doctors and nurses.@*Methods@#Investigat the psychologic status of female doctors and nurses using symptom checklist 90. And statistical software was applied to analyze results of symptom checklist 90.@*Results@#There were differences in the score of SCL-90 between doctor and nurse groups, the difference was statistically significant (P<0.05) . Negative life events (OR=2.940) , relative suffer from mental illness (OR=3.683) , shift work (OR=1.611) and heavy workload (OR=2.265) were found to risk factors for the positive of SCL-90.@*Conclusion@#There were differences in the score of SCL-90 between doctor and nurse groups. Negative life events, relative suffer from mental illness, shift workand heavy workload are risk factors for SCL-90 positive of female doctors and nurses.
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Objective@#To evaluate the mental health of occupational females in different industries.@*Methods@#We investigated the psychologic status of Chinese occupational females using symptom checklist 90. And statistical software was applied to analyze results of symptom checklist 90.@*Results@#There were 41, 166 effec-tive questionnaires. The number of positive questionnaires was 14 361, and the positive rate was 34.89%. The positive rate of obsessive-compulsive factor was 24.07%. The positive rate of somatization factor was 16.12%. The positive rate of depression was 15.50%. The median positive item number was 20 (IQR: 34) , and the median split of positive symptoms was 2.11 (IQR: 0.37) . There were differences in the positive rate of SCL-90 scale among different age groups, different regions and different industries, the difference was statistically significant (P<0.05) . The positive rate of SCL-90 for the occupational females was 34.89%. The top three factors of the high-est positive SCL-90 were obsessive-compulsive symptoms, somatization and depression.@*Conclusion@#There were differences in the psychological status of occupational females for different regions, different ages and different occupations.