1.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.
2. 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 (
3.Analysis of influencing factors of textile workers' occupational stress
Yuan FANG ; Zhaoqiang JIANG ; Jianfei WANG ; Junlin JIA ; Dandan YU ; Lingfang FENG ; Li SHI ; Xinnian GUO ; Man YU ; Hailing XIA ; Min YU ; Jing WANG ; Tao LI ; Li JU ; Jin WANG ; Jianlin LOU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(4):275-278
Objective:To explore the occupational stress status and influencing factors of workers in a textile factory in Zhejiang Provice.Methods:In October 2018, 505 workers from a textile factory in Zhejiang Province were selected as research objects by convenient sampling method. A total of 505 questionnaires were distributed, 495 of which were effective and the effective recovery rate was 98.0%. Job Content Questionnaire (JCQ) and Effort Reward Imbalance Questionnaire (REI) were used to investigate textile workers' occupational stress and analyze its influencing factors. The differences of the composition ratio of different groups were tested by χ 2 test. The influencing factors such as age, gender and occupation on occupational stress were analyzed by multivariate logistic regression. Results:ERI analysis results showed that the high and low occupational stress accounted for 30.1% and 69.9%, respectively. The differences of occupational stress among workers of different job types and working ages were statistically significant ( P<0.05) . The detection rates of high occupational stress of paper workers and spinners were 47.8% (11/23) and 44.8% (30/67) , respectively, higher than other jobs. The detection rate of high occupational stress for workers with more than 5 years of service was 46.4% (13/28) . The results of JCQ analysis showed that there was no statistical significance in the differences of daily working hours and length of service between different gender, education levels, types of work patterns, and occupational stress ( P>0.05) . Job types had significant effects on the occupational stress defined by ERI ( P<0.05) , the risk of occupational stress was 2.151 times than that of the coiler. Conclusion:There are significant differences in occupational stress risk among workers of different types of work in textile industry, so different measures should be taken to prevent and control occupational stress in different jobs.
4.Analysis of influencing factors of textile workers' occupational stress
Yuan FANG ; Zhaoqiang JIANG ; Jianfei WANG ; Junlin JIA ; Dandan YU ; Lingfang FENG ; Li SHI ; Xinnian GUO ; Man YU ; Hailing XIA ; Min YU ; Jing WANG ; Tao LI ; Li JU ; Jin WANG ; Jianlin LOU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(4):275-278
Objective:To explore the occupational stress status and influencing factors of workers in a textile factory in Zhejiang Provice.Methods:In October 2018, 505 workers from a textile factory in Zhejiang Province were selected as research objects by convenient sampling method. A total of 505 questionnaires were distributed, 495 of which were effective and the effective recovery rate was 98.0%. Job Content Questionnaire (JCQ) and Effort Reward Imbalance Questionnaire (REI) were used to investigate textile workers' occupational stress and analyze its influencing factors. The differences of the composition ratio of different groups were tested by χ 2 test. The influencing factors such as age, gender and occupation on occupational stress were analyzed by multivariate logistic regression. Results:ERI analysis results showed that the high and low occupational stress accounted for 30.1% and 69.9%, respectively. The differences of occupational stress among workers of different job types and working ages were statistically significant ( P<0.05) . The detection rates of high occupational stress of paper workers and spinners were 47.8% (11/23) and 44.8% (30/67) , respectively, higher than other jobs. The detection rate of high occupational stress for workers with more than 5 years of service was 46.4% (13/28) . The results of JCQ analysis showed that there was no statistical significance in the differences of daily working hours and length of service between different gender, education levels, types of work patterns, and occupational stress ( P>0.05) . Job types had significant effects on the occupational stress defined by ERI ( P<0.05) , the risk of occupational stress was 2.151 times than that of the coiler. Conclusion:There are significant differences in occupational stress risk among workers of different types of work in textile industry, so different measures should be taken to prevent and control occupational stress in different jobs.