ArticleTobacco induced diseases2024
The intention of college students to use electronic cigarettes: A study based on the theory of innovation diffusion.
Article in Tobacco induced diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Sex Differences in Perceptions and Behavioral Context of Electronic Cigarette Use: A Cross-Sectional Study in Jeddah, Saudi Arabia.International journal of environmental research and public health · 2026Article
- Association between knowledge of electronic cigarettes and HTPs and intentions to use among university students: A cross-sectional study.Tobacco induced diseases · 2026Article
- Exploring the intention to use e-cigarettes and its influencing factors among Thai non-formal education students: A cross-sectional study.Tobacco prevention & cessation · 2026Article
- Cognitive confusion: A cross-sectional study on the cognitive differences between traditional tobacco and e-cigarettes among college students in Zhejiang Province, China.Tobacco induced diseases · 2026Article
- Prevalence and factors associated with intention to use e-cigarettes among lower secondary school students in Bangkok: A cross-sectional study.Tobacco induced diseases · 2026Article
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Authors and funding
7 authors.
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Abstract
introductionThe purpose of this study is to examine the use of electronic cigarettes (e-cigarettes) among college students in Hangzhou, and to analyze the influencing factors of their intention to use e-cigarettes.
methodsUsing a stratified cluster sampling method, 775 students from two universities in Hangzhou were selected for an on-site questionnaire survey from March to April 2022. Adjusted logistic regression analysis was conducted on the influencing factors of use intention, based on innovation diffusion theory.
resultsWithin our sample of college students, 16.5% of students had tried e-cigarettes; 6.32% had used e-cigarettes in the past month, and 8.0% had the intention to use e-cigarettes. There were significant differences in willingness to use e-cigarettes among different genders, economic status, smoking status of close friends around them, and their own use of tobacco and alcohol (p<0.05). The logistic regression model showed that the observability of e-cigarettes (AOR=1.28; p<0.05), personal factors (AOR=1.39; p<0.05), and social systems (AOR=1.63; p<0.05), were all influencing factors of intention to use e-cigarettes.
conclusionsCollege students in Hangzhou have a high intention to use e-cigarettes, and the impacts of the product itself, individual characteristics and the living environment are crucial. It is necessary to strengthen the promotion of tobacco knowledge at the social and family levels to reduce the occurrence of vaping.
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