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Background As the population ages, there has been a growing focus on the decline in fertility. Research has identified age and fertility history as the primary influencing factors. Nevertheless, there is a deficiency in fundamental data regarding the fertility status among different industries. Objective To investigate the fertility status and influencing factors among female workers aged 22-35 years in different industries. Methods From July 2020 to February 2021, a cross-sectional survey was conducted using a staged sampling approach. This survey specifically targeted 22-35-year-old married female workers with a history of pregnancy in industries such as education, healthcare, finance, and telecommunications, totaling 22903 participants. The survey encompassed industry, demographic characteristics, pregnancy history, time to pregnancy (TTP), and other influencing factors. The influencing factors of decline in fertility were identified by chi-square test and Cox proportional hazards regression. Subsequent industry-specific Cox proportional hazards regression models were used to compared fertility decline patterns across a spectrum of industries after selected influencing factors were adjusted. Results Among the 22903 respondents, 19194 valid questionnaires were collected, with a valid recovery rate of 83.8%. The cumulative pregnancy rates (CRP) of 1-6 months and 1-12 months for the 22-35-year-old female workers were 67.23% and 91.33% respectively. The multivariate analysis showed that region, age, education level, personal annual income, housework time, coping style, gravidity, parity, and spontaneous abortion were influencing factors of fertility decline (P<0.05). Female workers with ≥3 gravidities and ≥2 spontaneous abortions had a higher risk of fertility decline, with hazard ratios (HR) and associated 95% confidence interval (95%CI) of 0.633 (0.582, 0.688) and 0.785 (0.670, 0.921) respectively (P<0.01). Compared to the education industry, the healthcare and finance industries showed a higher risk of fertility decline, with HR (95%CI) values of 0.876 (0.834, 0.920) and 0.909 (0.866, 0.954), respectively (P<0.05). These two HR (95%CI) values remained statistically significant [0.899 (0.852, 0.948) and 0.882 (0.833, 0.934) respectively, P<0.05)] after further adjustment with nine influencing factors such as region and age. Conclusion Regions, age, education level, personal annual income, housework time, coping style, pregnancy and childbirth times, and natural abortion times are influencing factors of fertility decline in female workers. Compared to the education industry, the healthcare and finance industries have a higher risk of declining fertility.
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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 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 explore the significances of expression of tumor associated macrophages ( TAMs) and its correlation with microvessel density ( MVD) in triple negative breast cancer ( TNBC) .Methods Immunohistochemistry was used to detect TAMs and MVD expression in 108 TNBC tissues and to analyze the cor-relation between TAMs with clinicopathological features ,prognosis and MVD.Results The expression of TAMs was correlated with the tumor size,lymph node metastasis,histological grade,TNM stage and MVD,but had no statistically significant association with age .TAMs was correlated with 5 year disease free survival ( DFS) and over-all survival( OS);MVD was correlated with 5 year DFS, while no correlation with OS .Univariate and multivariate analyses showed that TAMs was an independent unfavorable prognostic factor for patients with TNBC .Conclusion High infiltration of TAMs indicated poor survival rate for patients with TNBC .The infiltration of TAMs was a new,important risk factor for TNBC recurrence .TAMs were closely related to MVD ,by promoting tumor angiogen-esis,thereby promoting TNBC growth ,invasion and metastasis ,and further affect the prognosis of patients with TN-BC.
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Node negative breast cancer is a prevalent form of breast cancer .With the improvement of breast cancer screening and disease awareness ,the rates of node negative breast cancer are gradually increasing . Although node negative breast cancer patients have much lower recurrence rates as compared with node positive patients,node-negative breast cancer is unequal to a low risk disease .Thus,it is important for oncologist to esti-mate the risk factors of node negative disease ,to carry out risk assessment and to guide the best regimen for these patients.In current review ,we discuss the value of traditional prognostic factors and new prognostic factors ,such as the urokinase -type plasminogen activator/plasminogen activator inhibitor 1,oncotype DX,MammaPrint and tumor associated macrophages ,on the predictive and treatment decisions in node negative breast cancer .
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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>