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Background Women face more reproductive health problems in their whole life cycle. Occupational exposure to harmful factors in the petrochemical industry may have a synergistic effect on women’s existing health problems. Objective To analyze the influencing factors of perimenopausal syndrome (PMS) in female workers in petrochemical industry, and establish a nomogram model of the risk of PMS in female workers, so as to provide a easy and quick health monitoring and evaluation method for female workers. Methods A total of 2653 perimenopausal female workers aged 45-55 years old were selected from a petrochemical enterprise. A questionnaire survey was conducted to collect information on demographic characteristics, occupational characteristics, psychological status, and reproductive health information. The prevalence of PMS of female workers was evaluated by the Kupperman Index Scale, the physical fatigue and mental fatigue were evaluated by the Fatigue Scale. A linear graph prediction model was established by multiple logistic regression. A nomogram was presented and C-index was used to verify the differentiation of the model. Then Bootstrap method was used for internal validation. Results Among the 2653 female worker, a total of 1306 cases (49.2%) presented PMS with a Kupperman score ≥7. The main symptoms were fatigue (79.95%), irritability (71.32%), and insomnia (66.79%). Significant differences in PMS prevalence were found among female workers of different age, body mass index, and working posture groups (P < 0.05). The participants with alcohol drinking, maternal premature or late menopause, hypertension, lack of physical exercise, heavy lifting, sick leave in the last 6 months, combined occupational exposures to dust, chemicals, noise [> 80 dB(A)], or electromagnetic field, and not wearing protective masks, gloves or protective earplugs reported higher prevalence rates of PMS (P < 0.05). The prevalence rate of PMS in female workers with sleep duration ≤ 6 h was higher than that with > 6 h (P < 0.05), and higher in female workers with physical and mental fatigue than in those without (P < 0.05). The results of logistic regression analysis showed that those with maternal premature or late menopause (OR=1.572, 95%CI: 1.320−1.872), hypertension (OR=1.579, 95%CI: 1.127−2.213), alcohol drinking (OR=1.286, 95%CI: 1.080−1.532), no physical exercise (OR=1.598, 95%CI: 1.330−1.920), sleep duration ≤ 6 h (OR=1.853, 95%CI: 1.518−2.263), sick leave in recent 6 months (OR=1.614, 95%CI: 1.226−2.123), physical fatigue (OR=2.384, 95%CI: 1.887−3.012), mental fatigue (OR=5.649, 95%CI: 4.382−7.283), combined exposure to occupational harmful factors (OR=1.329, 95%CI: 1.108−1.593), long-time sitting (OR=2.014, 95%CI: 1.271−3.190), and heavy lifting (OR=1.505, 95%CI: 1.178−1.923) showed a higher risk of reporting PMS (P<0.05). The C-index from the ROC curve of the nomogram model was 0.748 (95%CI: 0.729−0.766). The results of Bootstrap validation showed that the standard curve and the predicted curve almost overlapped, and the absolute error was 0.008, indicating that the model fitness was good. Conclusion PMS in female petrochemical workers may occur due to long-term exposures to multiple factors. The established nomogram model has good predictive ability and could be applied to monitor and evaluate female reproductive health in petroleum industry.
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OBJECTIVE: To analyze the reproductive health status of female employees in an automobile manufacturing industry and its influencing factors. METHODS: By a method of convenient sampling, 989 female employees of an automobile manufacturer were selected as the study subjects. The Female Employees′ Reproductive Health Status Questionnaire was used to investigate and analyze the influencing factors. RESULTS: The prevalence of abnormal menstruation was 23.7%(234/989). The abnormal menstruation was mainly the menstrual cycle disorder, with the prevalence of 15.4%(152/989). The prevalence of reproductive tract infection was 39.1%(387/989), and the top 2 types of infection were cervicitis(12.7%) and vaginitis(12.1%). The results of multivariate logistic regression analysis showed that the risk of abnormal menstruation in night shift workers was higher than that in day shift workers(P<0.05). The risk of abnormal menstruation increased in female workers with the increase of work intensity(P<0.05). Female workers with a history of abortion had higher risk of abnormal menstruation and reproductive tract infection than those without a history of abortion(all P<0.05). Female workers with abnormal menstruation had a higher risk of reproductive tract infection than those with normal menstruation(P<0.01). Married employees had a higher risk of reproductive tract infection than unmarried ones(P<0.01). CONCLUSION: The reproductive health of female workers in the automobile manufacturing industry is related to their marital status, work shift, work intensity and history of abortion.
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OBJECTIVE: To investigate the prevalence and relevant influencing factors of gynecological diseases of grassroot level female medical staffs. METHODS: A total of 2 308 female medical workers from county, town and village in hengxian County of Guangxi Zhuang Autonomous Region were selected as study subjects by cluster sampling method. The basic information, occupational history, reproductive health and fertility of these subjects were investigated by Reproducetive Health Survey Questionnaine of Female Workers. RESULTS: The total prevalence of gynecological diseases in female medical staffs was 21.6%. Among them, the prevalence of genital tract infections was 15.6%, and gynecological tumors was 6.0%. The top three gynecologic diseases were vaginitis(9.2%), uterine fibroids(4.3%) and cervicitis(3.5%). Multivariate logistic regression analysis results indicated that the younger the patients, the higher the risk of reproductive tract infectious diseases(P<0.01), and the lower the risk of gynecological tumors(P<0.01). The risk of reproductive tract infectious diseases and gynecological tumors in married patients was higher than that in unmarried staffs(P<0.05). The higher the number of abortions, the higher the risk of reproductive tract infectious diseases and gynecological tumors(P<0.01). The risk of reproductive tract infectious diseases was higher and the risk of gynecological tumors was lower in female shift workers than that of non-shift workers(P<0.05). CONCLUSION: Vaginitis, uterine fibroids and cervicitis are the main gynecological diseases in grassroot level female medical staffs. The incidence of gynecological diseases is related to age, history of marriage, childbirth and abortion, and work-shifts.
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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 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 investigate the reproductive health status of female workers in the machinery industry and to analysis the effect of workload on their reproductive health.@*Methods@#5 732 female mechanical workers were selected and investigated by the Female Workers' Reproductive Health Questionnaire, which was printed by the occupational health and poisoning control institute of China CDC to collect the information about the reproductive health status of from March to December in 2016.@*Results@#The rate of abnormal menstruation was 27.15%, and the rate of gynecological diseases of female workers was 34.39%. The menstruation abnormality and gynecological diseases rate of female workers with high workload was higher than that female workers with low workload (both P<0.01) . High workload was the independent the risk factor associated with the menstruation abnormality (OR=1.88, 95%CI: 1.54~2.31, P<0.01) and gynecological diseases (OR=1.97, 95% CI: 1.61~2.40, P<0.01) .@*Conclusion@#The workload has a large impact on the reproductive health status of female workers.
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Objective@#To investigate the reproductive health status of female workers engaged in administrative management, and to provide a reference for protecting the reproductive health of female workers. @*Methods@#From April to November, 2016, a cross-sectional survey was performed for 2717 female workers aged 18-60 years and engaged in administrative management from 13 cities and provinces in China, and a questionnaire was used to investigate their general information, occupational hazards in workplace, and reproductive health status, and the reproductive health status of female workers was analyzed. @*Results@#Of all 2 717 female workers, 1 170 had gynecological diseases or symptoms, resulting in an incidence rate of 43.06%, and among these workers, 11.15% had abnormal menstruation, 34.64% had infertility, and 38.76% had a history of abortion. There were significant differences in the rates of abnormal results of gynecological examination, abnormal menstruation, abortion, and infertility between the female workers in different age groups (P<0.01) . Unhealthy living habits and major events were risk factors for gynecological diseases, abnormal menstruation, and abortion (P<0.05) ; bad working status was a risk factor for gynecological diseases and abortion (P<0.05) ; exposure to harmful factors was a risk factor for gynecological diseases and abnormal menstruation (P<0.05) . @*Conclusion@#Living habits, major events, working status, and occupational harmful factors have certain influence on reproductive health of female workers engaged in administrative management. Occupational health protection should be strengthened, working patterns should be improved, self-protection awareness should be raised, and health protection should be enhanced for women of childbearing age to protect and promote the reproductive health of female workers.
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Objective@#To study status of social support and its influencing factors in female migrant workers. @*Methods@#Study participants were selected with a random cluster design from participants 16-60 years old in non-registered residents from 10 districts in one city. Social support revalued scale and general questionnaire were used to survey social support status of female migrant workers in August-December of 2016. @*Results@#There was statistic difference in social support among different districts, occupations, and income of female migrant workers (P<0.05) . Results of multiple linear regression demonstrates that districts, occupations, and income of female migrant workers were associated with social support scale (district standarized β=0.03, occupations standarized β=-0.03, incorue standarized β=0.10, P<0.05) . @*Conclusion@#We should be attentive to self-employed and Low-income participants among female migrant workers.
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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 reproductive health status of female workers in petrochemical industry, and to provide a reference for improving reproductive health status and developing preventive and control measures for female workers in petrochemical industry.@*Methods@#A face-to-face questionnaire survey was performed from January to October, 2016. The Questionnaire on Women's Reproductive Health was used to investigate the reproductive health of female workers in petrochemical industry. The multivariate logistic regression model was used to identify the influencing factors for reproductive health of female workers in petrochemical industry.@*Results@#Among the 7485 female workers, 1 268 (40.9%) had abnormal menstrual period, 1 437 (46.4%) had abnormal menstrual volume, 177 (28.5%) had hyperplasia of mammary glands, and 1 807 (24.6%) had gynecological inflammation. The reproductive system diseases in female workers in petrochemical industry were associated with the factors including age, marital status, education level, unhealthy living habits, abortion, overtime work, work shift, workload, video operation, occupational exposure, positive events, and negative events, and among these factors, negative events (odds ratio[OR]= 1.856) , unhealthy living habits (OR=1.542) , and positive events (OR=1.516) had greater impact on reproductive system diseases.@*Conclusion@#Many chemical substances in the occupational environment of petrochemical industry can cause damage to the reproductive system, which not only affects the health of the female workers, but also poses potential threats to the health of their offspring. Occupational exposure, unhealthy living habits, overtime work, and work shift have great influence on reproductive system diseases in female workers.
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Objective@#To investigate the application of Symptom Checklist-90 (SCL-90) in Chinese nurses.@*Methods@#We performed a literature search for articles in Chinese on the mental health of nurses investigated using the SCL-90 that were published from January 2007 to December 2016. A total of 129 articles were included, involving 178 groups of valid samples as well as 36316 subjects in 27 provinces or cities in China. The metafor package of R 3.2.1 software and Excel were used for meta-analysis and data statistics.@*Results@#Heterogeneity was identified for the nine factors included in the literature data (Q test: P<0.05; I2 test >40%) , so a random effects model was used. For all factors except interpersonal relationship factor, the 95% confidence intervals of the pooled effect sizes did not include 0. For all factors except interpersonal relationship factor (Egger test: P<0.05) , no significant asymmetry or incompleteness appeared in the funnel plots. The fail-safe number of each factor was much larger than 5k+10. The merger scores and mean values of nine factors were higher than the national norm.@*Conclusion@#The SCL-90 is widely used in the study of mental status of Chinese nurses, but the SCL-90 norm for nurses is lacking.
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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 analyze the mental health status and its impact factors among nurses, finding ways to improve the mental health of nurses.@*Methods@#A total of 13 425 female healthcare workers aged from 18 to 65 were selected as study objects. The survey was conducted with unified design questionnaire. The survey included the basic situation of the individuals and SCL-90 questionnaire. Comparing the female doctors, the mental health status and its impact factors of nurses were analyzed.@*Results@#The income, age, education and occupation, which include shift work, heavy work load and overtime work are different between nurses and doctors. The main mental health problems of nurses were obsessive-compulsive symptoms, depressive symptoms and somatization. The results of univariate analysis indicated that shift work, overtime work, and heavy work load affected the positive rate of each factor. The results of multivariate analysis showed that occupation, shift work, overtime work, and heavy work load have significant adverse effects on the positive rate of the total score in female healthcare workers (P<0.01) . The positive rate of each dimension of SCL-90 in nurses is significantly higher than that of doctors.@*Conclusion@#The mental health problems of nurses are significantly higher than doctors. The main reasons are low occupational level and adverse workstyles which include shift work, heavy workload and so on. Health administration and hospital management departments should pay much more attention to the mental health of nurses, improving their mental health through a variety of ways.
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Objective@#To investigate the mental health status of female migrant workers in a city.@*Methods@#From August to December, 2016, cluster random sampling was used to select female migrant workers aged 16-60 years from 10 districts of this city, and Symptom Checklist-90 (SCL-90) and a questionnaire on general status were used.@*Results@#Among these female migrant workers, the detection rates of obsessive-compulsion, hostility, and depression were 6.62%, 4.18%, and 4.10%, respectively. There was a significant difference in the detection rate of mental health issues between the female migrant workers from different districts, with different occupations, or with different education levels (P<0.05) . Districts, occupation, and education level were associated with mental health issues, after adjustment for age (P<0.05) .@*Conclusion@#Although female migrant workers in this city have a high mental health level, the issues such as obsessive-compulsion, hostility, and depression should be taken seriously. Targeted mental health surveys and comprehensive interventions should be implemented to improve the mental health level of female migrant workers.
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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.
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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.
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Objective@#To investigate the reproductive health status of female workers in a railway system and possible influencing factors.@*Methods@#From January to June, 2016, a cross-sectional epidemiological investigation was performed to collect 2 165 female workers aged 17-55 years. A women’s health questionnaire was used to collect the data on their occupation and health, and their reproductive health status was analyzed.@*Results@#The female workers exposed to occupational hazards had significantly higher incidence rates of gynecological diseases, abnormal menstruation, and infertility than those not exposed to such hazards (χ2=32.29, 12.42, and 4.23, respectively, all P<0.05) . There were significant differences in the incidence rates of gynecological diseases, abnormal menstruation, adverse pregnancy outcomes, and pregnancy complications between the female workers with different working forms and states (χ2=17.19, 23.03, 200.65, and 21.28, respectively, all P<0.05) . There were significant differences in the incidence rates of gynecological diseases, abnormal menstruation, and pregnancy complications between the female workers with different behavioral habits (χ2=15.65, 36.23, and 25.35, respectively, all P<0.05) . The logistic regression analysis showed that exposure to occupational hazards, married state, medium-grade professional title or above, work in shifts, sitting for a long time, standing for a long time, and video operation were risk factors for gynecological diseases, and the prevalence rate of gynecological diseases increased with age. Exposure to occupational hazards, night shifts, staying up late, and sitting for a long time were risk factors for abnormal menstruation. Exposure to occupational hazards was a risk factor for infertility. Medium-grade professional title or above was a risk factor for adverse pregnancy outcomes. Married state, medium-grade professional title or above, standing for a long time, and high mobility in job form and state were risk factors for pregnancy complications.@*Conclusion@#Exposure to occupational hazards, job form and state, and unhealthy behavioral habits may affect reproductive health status in female workers in the railway system.
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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>