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1.
Journal of Preventive Medicine ; (12): 471-474, 2022.
Article in Chinese | WPRIM | ID: wpr-923692

ABSTRACT

Objective@#To investigate the prevalence and influencing factors of electronic cigarette (e-cigarette) use among adolescents in Haidian District, Beijing, so as to provide insights into tobacco control among adolescents.@*Methods@#The students in junior high school, high school and vocational high school were recruited from Haidian District using the stratified cluster random sampling method in October of 2019, and subjects' demographic features and use of e-cigarettes were collected using the Questionnaire for Survey on Tobacco Prevalence among Adolescents in China in 2019. The factors affecting e-cigarette use were identified among adolescents using the multivariable logistic regression analysis.@*Results@#A total of 658 adolescents were investigated, including 315 junior high school students ( 47.87% ), 221 high school students ( 33.59% ), and 122 vocational high school students ( 18.54% ), and there were 261 boys ( 39.66% ), and 397 girls ( 60.34% ). There were 605 students that had heard of electronic cigarettes ( 91.95% ), 63 students that had used e-cigarettes (9.57%), and 23 students with current use of e-cigarettes ( 3.50% ), and there were 39 students that had never used electronic cigarettes but had a tendency of use in the future ( 6.55% ). Multivariable logistic regression analysis identified parental smoking ( OR=2.408, 95%CI: 1.179-4.916 ), close friends' smoking ( OR=3.597, 95%CI: 1.715-7.544 ) and cigarette smoking ( OR=23.029, 95%CI: 11.092-47.812 ) as factors affecting e-cigarette use among adolescents.@*Conclusions@#The prevalence of electronic cigarette uses is 9.57% among adolescents in Haidian District, Beijing. Parental smoking, peer smoking and use of cigarettes may facilitate the use of e-cigarettes among adolescents.

2.
Chinese Journal of Industrial Hygiene and Occupational Diseases ; (12): 118-121, 2018.
Article in Chinese | WPRIM | ID: wpr-806004

ABSTRACT

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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