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Objective@#To investigate the infertility rate and influencing factors of female workers in China's nine industries.@*Methods@#Using multi-stage sampling method, from January to November in 2016. A cross-sectional survey was conducted on the infertility of 33 685 female workers in the nine industries including medical and health, petrochemical, metallurgy, railway, machinery manufacturing and electronics,a questionnaire survey. First, three provincial capitals were randomly selected in seven regions. And then we consulted and communicated with the hospital of the provincial city's occupational disease prevention and treatment, marking and coding the target enterprise within its jurisdiction, In these enterprises, we randomly selected five companies. Finally, all women workers who meet the inclusion criteria were surveyed in those enterprises which were drawn. Use the"female workers reproductive health questionnaire" to collect female workers demographic status, occupational status and reproductive status and other data. The single factor analysis of infertility was performed by chi-square test. Multivariate analysis of infertility was carried out by logistic regression model.@*Results@#The age of female workers in the nine industries was (35.98±7.98) years. The infertility rate for one year of female workers in typical industry was 24.81% (8 358/33 685), the infertility rate for two years being13.47% (4 537/33 685), the infertility rate for two years being 10.78% (3 632/33 685). Compared to the east China region, the infertility rate was the highest in the south region (OR=1.90, 95%CI: 1.66-2.17). Compared to non-working women, the infertility rate was the highest among railroad (OR=1.68, 95%CI: 1.43-1.98) and financial industries (OR=1.64, 95%CI: 1.38-1.95). Occupational exposure to heavy metals (OR=1.15, 95%CI:1.04-1.27) and occupational exposure to hazardous physical factors (OR=1.09, 95%CI:1.01-1.17) were infertility risk factors.@*Conclusion@#The infertility rate of female workers in the nineindustries was high. And the region, industry, occupational exposure to heavy metals and occupational exposure to hazardous physical factors, were independent risk factors for infertility.
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Objective@#To investigate the distribution of shift work of female workers in different industries and the relationship between shift work and reproductive health, then provide reference for the female workers' labor protection.@*Methods@#From June to September 2016, cluster sampling questionnaire survey was performed among female workers from 11 industries including electronics, medicine and health, pharmacy. To investigate the general information, shift-work information, reproductive health and childbearing history of these female workers.@*Results@#A total of 63 711 usable questionnaires were collected, resulting in a response rate of 96.94%.A total of 13 546 workers worked in shifts, accounting for 21.26%, the highest proportion was in the medical industry 30.61%, metallurgy 30.81%, petrochemical engineerin 26.78% respectively. Compared with the workers who did not work in shifts, those who worked in shifts had significantly higher rate of abnormal menstruation, rate of reproductive system infection in married workers, the rate of infertility (χ2=19.108、10.673、21.510, P<0.05) ; Compared with the workers who did not work in nightshifts, those who worked in nightshifts had significantly higher rate of abnormal menstruation, rate of reproductive system infection among married workers and rate of infertility (χ2=140.043、71.901、29.024, P<0.01) .@*Conclusion@#The highest rate of shift work was in the medical industry, metallurgy, petrochemical engineering industry. Workers who worked in shifts have serious reproductive health issues, the occurrence of abnormal menstruation, reproductive system infection and infertility may associated with shift work.
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Objective to investigate the situation of occupational health of nurses,so as to provide a reference for protecting the health of nurses. Methods Cluster sampling method was employed in this study. totally 1 204 nurses of two three-level general hospital and a cancer hospital in Bei-jing were randomly surveyed with homemade health of nurses′cross-sectional questionnaire,and a nurse medical examination report was access at the same time. Results there was statistically significant difference in the incidence of nurses work pressure and work fatigue in different hospitals and different departments(P < 0.05). 95.18% of the nurses undergo regular medical examinations,of which 56.97% were found abnormal. the dif-ferences in the incidence rate of abnormal medical examination results in nurses were statistically significant among different hospital and different de-partments(P < 0.05). Conclusion Great job stress and work fatigue are observed in nurses,and they have health problems. It is necessary for the hospital to take appropriate interventions to improve physical and mental health nurses.
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<p><b>OBJECTIVE</b>To investigate the prevalence of malignant tumors in nurses and its influencing factors and to provide a reference for protecting the health of nurses.</p><p><b>METHODS</b>Cluster sampling was used to randomly survey 1204 married nurses working in one tumor hospital and two tertiary general hospital in Beijing, China, from June to August in 2014. Using the homemade health questionnaire and medical examination reports, the prevalence of malignant tumors in nurses was analyzed.</p><p><b>RESULTS</b>The prevalence of malignant tumors in nurses was 18.3‰, and the prevalence of malignant tumors in the tumor hospital was the highest, reaching 40.1‰. The prevalence of malignant tumors varied significantly between nurses in different hospitals (P<0.05) and in different departments (P<0.05). The malignant tumors in nurses mainly included breast cancer, thyroid cancer, and cervical cancer. The mean age of nurses suffering from malignant tumors was 41 years, and the mean length of service was 20 years. The hospital and department where nurses worked, as well as their age and length of service, were significantly associated with malignant tumors (P<0.05).</p><p><b>CONCLUSION</b>The prevalence of breast cancer, thyroid cancer, and cervical cancer is high in nurses surveyed, particularly those working in the tumor hospital. Further in-depth analysis of the reasons is needed to take preventive interventions for protecting the health of nurses.</p>