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Objective@#To investigate needlestick injuries and depression among the female medical staff in a city district.@*Methods@#Using cross-sectional survey methods, female medical staff from selected sixteen hospitals voluntarily participated in questionnaire survey on APP of mobile phone. They Data were uploaded assessment platform, saved by Excel, and analysed by SPSS 22.0 statistical software.@*Results@#The lasted year, Incidence of needlestick injuries was 11.28%. Incidence of needlestick injuries was respectively 5.2%, 9.1% and 16.3% in Class-I hospital, Second-class Hospital and three levels of hospitals(χ2=28.900, P<0.01). And 6.3% Resting no more than 10 days of Incidence of needlestick injuries was 12.5%, others was 6.3%.Night shift no more than 5 days of Incidence of needlestick injuries was 8.5%, others was 15.1%. The rate of not less than 14 of BDI was respectively 18.6%, 29.1% and 32.7% in Class-I hospital, Second-class Hospital and three levels of hospitals (χ2=23.843, P<0.01). In recent one year, the rate of medical staff who have taken annual leave less than 10 days and higher than 10 days scoring over 14 in the Beck(Beck depression inventory, BDI) survey are respectively 29.1% and 17.8% (χ2=10.710, P<0.01). In recent one year, the rate of medical staff who worked in night shift less than 5 days and higher than 5 days each month scoring over 14 in the Beck survey are respectively 23.5% and 31.7%(χ2=8.886, P<0.01). In recent one year, the rate of medical staff who had needle injury and non-needle injury scoring over 14 in the Beck survey are respectively 35% and 25%(χ2=4.782, P<0.05).@*Conclusion@#The needle injury rate, high score rate in Beck survey among the medical staff increased when the level of the hospital they worked for increased. Medical staff should improve their method of rest.
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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 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 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 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.