Adolescents and Young Adults Who Vape or Are Susceptible to Vaping: Characteristics, Product Preferences, and Beliefs

Socio-ecological factors that influence youth vaping: perspectives from Western Australian school professionals, parents and young people

PURPOSE

To understand from the perspectives of school professionals, parents and young people the socio-ecological factors that may facilitate and prevent e-cigarette use among young people in Perth, Western Australia.

METHODS

Purposive sampling was used to recruit school professionals, parents and young people for one-on-one (n = 35) or joint (n = 3) interviews (in-person n = 11 or online n = 27). Data were analysed using thematic analysis and classified into four domains based on the socio-ecological model: i) individual, ii) interpersonal, iii) organizational/community and iv) societal/policy.

RESULTS

Factors that were found to support vaping among young people included sensation-seeking and risk-taking behaviour; a low-risk perception of vapes; attractive characteristics of vapes; ease of access; perception vaping is a social activity; and lack of knowledge about vaping among parents and school professionals. Vaping prevention messages originating from the familial, educational and community spheres are lacking but wanted by adults and young people.

CONCLUSIONS

The pervasiveness of the e-cigarette trade and persistent challenges related to surveillance and enforcement need to be addressed to reduce exposure and access to e-cigarettes. A mixture of "hard" and "soft" public policy tools involving key stakeholders in a range of settings is needed to prevent e-cigarette access and uptake by young people.

Susceptibility to e-cigarette among high school students: a study based on the ecological model of health behavior

Introduction

Youth e-cigarette (EC) use has rapidly increased in the last few years. It is crucial to identify the susceptible youth and prevent them from EC uptake. This study was conducted to investigate factors that affect youth susceptibility to EC use.

Methods

This study employed a cross-sectional survey design, utilizing multi-center stratified cluster sampling method to select two junior high schools and two senior high schools in Shanghai, Guangzhou, and Chengdu. One-third of classes of each grade in the selected schools were involved in this survey. After obtaining the informed consent of parents, an anonymous and self-administered questionnaire was distributed to students. Questionnaire was designed based on the Ecological Models of Health Behavior. Associations between EC susceptibility and covariates were identified using multivariate logistic regression.

Results

Among 2,270 students who had never vaped, 38.0% were susceptible to ECs. Logistic regression analysis identified factors on different levels affecting the susceptibility. Individual factors included senior high school students (OR = 1.34, 95% CI: 1.08-1.65), sensation seeker (OR = 1.11, 95%CI: 1.08-1.14), poor academic performance (OR = 1.24, 95% CI: 1.01-1.54), ever cigarette user (OR = 2.27, 95% CI: 1.29-4.01), unaware of the second-hand smoke from vaping (OR = 1.56, 95% CI: 1.25-1.96), agreeable with "I do not want to hang around vapers" (OR = 0.79, 95% CI: 0.64-0.97), agreeable with "ECs are more fashionable than cigarette" (OR = 2.50, 95% CI: 1.72-3.62) and favorable attitudes toward vaping (OR = 5.09, 95% CI: 3.78-6.85) were significantly associated with susceptibility to ECs. At interpersonal level, students who believe they would not be punished by parents for vaping increased susceptibility (OR = 1.27, 95% CI:1.01-1.59). At community level, exposure of EC advertising (OR = 1.81, 95% CI:1.46-2.25), exposure to hazard information (OR = 0.76, 95% CI: 0.59-0.97) and seeing vaping in daily life (OR = 2.11, 95% CI: 1.62-2.74), were statistically significantly associated with youth susceptibility to ECs.

Conclusion

EC susceptibility was observed in a substantial proportion of adolescents who had never vaped, influenced by factors on different levels. This research underscores the urgent need for comprehensive intervention strategies to prevent the youth susceptibility to ECs.

Identifying promising themes and messages for youth vaping prevention: A national study

Use of e-cigarettes and vapes among adolescents continues to be a major public health concern. Health communication efforts can discourage e-cigarette use among adolescents by influencing beliefs and behavior. However, to do so, studies need to identify the most promising themes and messages based on the latest evidence about the harms of e-cigarettes and vaping. Participants were a nationally representative sample of 1,603 US adolescents aged 13-17 years, recruited in the summer of 2022. Adolescents were randomly assigned to view 7 vaping prevention statements (one from each theme: nicotine addiction, chemical harms, health symptoms, mental health, organ effects, cosmetic effects, and monetary cost) and 1 control statement (vape litter theme) from a pool of 46 statements that were developed through a systematic process. Participants rated each statement on perceived message effectiveness (PME), awareness, and believability. Results of linear mixed models indicated that all vaping prevention themes out-performed control messages on PME, with chemical harms and organ effects having the largest effects, followed by nicotine addiction and then other themes. For most message themes, PME effects were stronger for youth susceptible to vaping compared to non-susceptible youth and users. Both awareness and believability predicted higher levels of PME. In secondary analyses, we found that statements specifying the target ("you") and longer statements were also rated higher on PME. Results suggests that the most potent vaping prevention messages for adolescents are those that focus on vape chemicals and the potential of vaping to damage organs and increase disease risk.

Factors associated with susceptibility to e-cigarette use among Australian adolescents

BACKGROUND

Preventing uptake of e-cigarette use among adolescents is critical to minimizing vaping-related harms. To inform the development of effective prevention programs and policies, this study explored potential determinants of susceptibility to e-cigarette use among young Australians.

METHODS

A cross-sectional online survey was administered to 12- to 17-year-old Australians who had never smoked nor vaped (N = 973; 53 % women). The survey assessed susceptibility to e-cigarette use (curiosity about use, willingness to use, and intentions to use) and a comprehensive range of potential correlates that included individual, social, and environmental factors. Regression analyses were conducted to identify factors significantly correlated with each of the dependent variables.

RESULTS

Susceptibility to e-cigarette use was observed in 45 % of respondents. Individual factors associated with susceptibility included respondents' (i) overall opinion of e-cigarettes, (ii) attitudes toward e-cigarettes, (iii) affect regulation expectancies, and (iv) quitting perceptions. Significant social factors included both descriptive and injunctive norms, specifically: perceiving that use is ok for people of one's age, approval from important others to use, and having at least one family member or close friend who vapes.

CONCLUSION

Susceptibility to vaping was observed in a substantial proportion of adolescents who have never smoked. Shifting attitudes and social norms around e-cigarette use appears critical to reducing susceptibility. Recommended prevention efforts include the development of communications addressing misperceptions about the benefits of vaping on affect regulation and stricter regulations on e-cigarette advertising to reduce young Australians' exposure to claims that may result in favourable attitudes to e-cigarette use.

Short report: Factors contributing to young people's susceptibility to e-cigarettes in four countries

BACKGROUND

Identifying young people who are susceptible to e-cigarettes is important for developing interventions designed to discourage uptake. Current evidence in a broader range of national contexts is needed given recent surges in youth e-cigarette use in many countries and the constantly evolving nature of vaping products and the promotional strategies used by the industry to increase their appeal.

METHODS

A cross-sectional online survey was administered to around 1000 15-30 year olds in each of four countries: Australia, China, India, and the United Kingdom (total n = 4007). The survey assessed demographic characteristics, e-cigarette and tobacco use, exposure to e-cigarette advertising, and number of friends and family members who vape. Those who had never used e-cigarettes (n = 1589) were assessed for susceptibility (curiosity about e-cigarettes, intentions to use in the next 12 months, and likely use if offered by a friend). Mixed effects logistic regression analysis was used to identify factors associated with susceptibility to e-cigarette use.

RESULTS

Susceptibility to e-cigarette use was apparent among 54% of respondents from Australia, 61% from India, 62% from the UK, and 82% from China. Factors positively associated with susceptibility were tobacco use, exposure to advertising, higher income, and having friends and family members who vape. Factors negatively associated with susceptibility were perceptions of harmfulness and education.

CONCLUSION

The results indicate the need across a diverse range of countries for interventions designed to address substantial proportions of young people who are likely to be susceptible to e-cigarette use.

National Youth tobacco surveys (2014-2019) show increasing beliefs in the harm and relative addiction of e-cigarettes but decreasing associations between those beliefs and e-cigarette use

BACKGROUND

To evaluate the potential efficacy of increasing harm and relative addiction beliefs in discouraging e-cigarette use, we examined how adolescents' beliefs about e-cigarettes have changed over 6 years and how the predictive validity of these beliefs has changed over time.

METHODS

Using data from the 2014-2019 National Youth Tobacco Survey (NYTS) (grades 6-12; N = 117,472), we evaluated the association between adolescents' beliefs about the harm and relative addiction of e-cigarettes and current e-cigarette use, as well as susceptibility to use. Logistic regressions and pairwise contrasts were used to analyze changes in these beliefs and determine how well these beliefs predict ever use, current use, and susceptibility to use over time.

RESULTS

E-cigarette harm and relative addiction beliefs tended to increase over time. In most years, these beliefs were negatively associated with e-cigarette use, including ever use, current use, and susceptibility to use. Interactions between these beliefs were also observed in some years such that harm belief better predicted use when e-cigarettes were also perceived as more addictive. Survey year also interacted with health harm and relative addiction beliefs such that the predictive validity of these beliefs for e-cigarette use decreased over time.

CONCLUSIONS

Beliefs about e-cigarette harm and relative addiction have increased over time and predict use of, and susceptibility to, e-cigarettes among US adolescents. However, the predictive validity of these beliefs has decreased over time. Future research should explore the reasons for the decreased predictive validity of health beliefs in e-cigarette use and identify constructs that predict adolescent e-cigarette use over and above general harm and relative addiction beliefs.

Social Network Influences on Adolescent E-cigarette Use

Background: Determine if individual adolescent vaping is associated with the vaping behavior of their school-based friendships; whether that association stems from peer influence or peer selection; and whether it varies by age. Methods: Two wave longitudinal survey of 1,208 students in one Midwestern US school district. Students were asked if they ever vaped and to name their seven closest friends within the school district. A roster of all eligible students was pre-loaded into the survey to facilitate network data collection. Terms for network exposure, the proportion of vaping friends; and selection, the number of new friends who vape, were created. Logistic regression and Stochastic Actor Oriented Models were used to test both influence and selection effects. Results: A cross-sectional logistic regression model indicated that friend vaping was associated with individual vaping (AOR = 4.96, p < 0.01); and lagged logistic models indicated that increased friend vaping was associated with individual vaping initiation (AOR = 1.72, p < 0.05). Selecting new friends who vape was also associated with becoming a vaper (AOR = 1.25, p < 0.01). Both influence and selection were present for those less than 14 years old. Conclusions: This is the first study to use social network analysis to show that adolescents who vape or initiate vaping are more likely to do so if their friends vape, and/or they make new friends who vape. Prevention and cessation programs should address the role of friend influence and selection on e-cigarette use; particularly at younger ages.

What’s in the message? An analysis of themes and features used in vaping prevention messages

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As youth vaping grows, vaping prevention campaigns are emerging rapidly.

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Our study systematically examines prevention messages used by public health groups.

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Nicotine addiction and chemicals were the most common message themes.

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Most messages included imagery, yet just over half had a message source.

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Results can guide message testing and highlight messaging gaps.

Introduction

Federal, state, local, and non-government officials have developed and implemented a variety of vaping prevention messages to curtail the vaping epidemic among youth in the US. This study sought to collect a comprehensive set of vaping prevention messages and characterize the themes and features of those messages.

Methods

We used a two-fold search strategy to identify messages, utilizing the existing content database from Vaping Prevention Resource (vapingprevention.org) and supplementing those messages with web searches. Potential messages were included if they were vaping prevention-oriented, appropriate or relevant for youth, and in a static web or print format.

Results

A total of 220 messages met criteria. Messages were coded on the presence or absence of 37 objective features within five categories: message themes, imagery, text features, message perspective, and other (e.g., source). The most common themes were nicotine addiction (32%), chemicals (30%), health effects (24%), and industry targeting (19%). Eighty-five percent of messages included imagery, with 27% showing a vaping device, 22% showing smoke or vapor, and 21% showing a person’s face. Just over half (56%) included a message source.

Conclusions

Vaping prevention messages for youth have commonly focused on addiction and health risks of vaping, and they vary on a series of text and image features. Further research is needed to understand the efficacy of messaging approaches in preventing vaping among youth.