- Public Health and Nutrition
- Educational Technology and Pedagogy
- Cardiovascular Health and Risk Factors
- Media, Gender, and Advertising
- Artificial Intelligence in Healthcare
- Media Studies and Communication
- Asian Culture and Media Studies
Beijing Normal University
2025
Chinese Center For Disease Control and Prevention
2020-2022
Objective: To describe the current situation on quit intention and attempts among smokers aged 15 years above in China explore main factors affecting their smoking cessation behaviors. Methods: The subjects were people China. A stratified multi-phased randomized cluster sampling method was used. survey covered 200 districts/counties 31 provinces (autonomous regions municipalities directly under central government), including 19 376 investigation. data weighted with SAS 9.4 for complex...
Objective: To investigate secondhand smoke (SHS) exposure among non-current smokers aged 15 and over its influencing factors in China 2010 2018. Methods: The 2018 Adult Tobacco Surveys used multistage stratified cluster random sampling methods to obtain national representative samples across 31 provinces (autonomous regions municipalities) China. This study selected as the research subjects describe general demographic characteristics, perceptions of SHS hazards, attitudes towards smoking...
With the continuous development of informatization, big data has been increasingly used in prevention and control chronic diseases, which a significant considerable influence on public health. This paper briefly introduces definition, characteristics classification healthy data, focusing analysis methods their applications tertiary prevention, as well challenges technology, management, sharing quality, ethics privacy, with aim providing more research approaches for application disease control.
Objective: To investigate the exposure to tobacco advertisements and promotions among Chinese adults aged 15 above, identify publicity channels forms of advertising promotion in 2010 2018, implicate further control measures China. Methods: A multistage, stratified, randomized cluster sampling design was used 2018 China Adult Tobacco Survey, with national representativeness. 13 354 19 376 permanent residents were selected surveys. SAS 9.4 software applied for data analysis, all weighted based...
Objective: To describe the relapse status of smokers aged ≥15 years in China, and investigate main factors influencing their behavior. Methods: The data this study cames from 2018 China Adult Tobacco Survey, covering 400 committees or villages 200 districts counties 31 provinces (autonomous regions municipalities) China. relevant smoking relapsing residents were collected by face-to-face interview. Software SAS 9.4 was used to clean analyze data, logistic regression model for rate. Results:...