1. Analyzing the mental health status and its impact factors among female nurses in China
Yan TONG ; Zhaoqiang JIANG ; Yixiao ZHANG ; Junlin JIA ; Wei LU ; Jing WANG ; Huijuan TANG ; Min ZHANG ; Xinnian GUO ; Tao LI ; Haiying JIANG ; Wenlan YU ; Jianlin LOU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2018;36(2):115-118
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 (
2.Tumor necrosis factor-a-308 polymorphism and risk of non-Hodgkin lymphoma: a meta-analysis
Xinnian YU ; Shanliang ZHONG ; Mei CHENG
Journal of Leukemia & Lymphoma 2018;27(7):410-414
Objective To investigate the association between the tumor necrosis factor (TNF)-α-308 G>A polymorphism and risk of non-Hodgkin lymphoma (NHL).Methods PubMed,CNKI and Wanfang dataknowledge service platform were searched to obtain relevant literature by using the following terms:lymphoma and (tumor necrosis factor or TNF) and (polymorphism or SNP or variant or mutation).Overall results were combined by using fixed effect model or random effect model.Publication bias was evaluated by using the Begg funnel plot and Egger test.Results Fifteen eligible studies were identified,including 9 738 NHL cases and 10 854 controls.The results of the overall meta-analysis showed that the TNF-α-308 AA genotype was associated with increased risk of NHL in two genetic models (AA vs.GG:OR =1.55,95 % CI 1.30-1.86,I2 =42.4 %;AA vs.AG+GG:OR =1.53,95 % CI 1.27-1.83,I2 =41.8%).Stratified by ethnicity,TNF-α-308 A allele was associated with an increased NHL risk in Caucasians (A vs.G;AA vs.GG;AG vs.GG;AA vs.AG+GG;AA+AG vs.GG) but a decreased risk in Asians (A vs.G;AG vs.GG;AA+AG vs.GG).Conclusion The TNF-o-308 G>A polymorphism is associated with the risk of NHL.