E-cigarette advertising exposure in e-cigarette naïve adolescents and subsequent e-cigarette use: A longitudinal cohort study

Camenga, Deepa R.; Gutierrez, Kevin M.; Kong, Grace; Cavallo, Dana A.; Simon, Patricia; Krishnan‐Sarin, Suchitra

doi:10.1016/j.addbeh.2018.02.008

Cited by 112 publications

(97 citation statements)

References 32 publications

(42 reference statements)

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“…All dual and triple substance combinations including this behaviour rose in prevalence towards the end of the examined period, with concurrent vaping and drinking particularly common. The association between e-cigarettes and alcohol, previously observed in other studies ( Morean et al, 2016 ; Schlienz & Lee, 2018 ; Taylor et al, 2017 ), together with data on social media trends ( Camenga et al, 2018 ; Chu et al, 2018 ; Sampasa-Kanyinga & Hamilton, 2018 ), indicates that use of the former is now a social activity ( Pepper et al, 2017 ; Yule & Tinson, 2017 ). This is particularly concerning not only in light of potential feedback effects due to the previously discussed outsize effects of peer behaviour, but also because e-cigarette use has been shown to increase the risk of cigarette smoking ( Barnett et al, 2015 ; Bold et al, 2018 ; Hammond et al, 2017 ), which also often co-occurs with alcohol use in social situations ( Berg et al, 2018 ; Gubner, Thrul, Kelly, & Ramo, 2018 ; Silveira et al, 2018 ), adding an additional layer of risk.…”

Section: Discussionsupporting

confidence: 60%

Trends of poly-substance use among Canadian youth

Zuckermann

Williams

Battista

et al. 2019

Addictive Behaviors Reports

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Introduction Poly-substance use, increasingly understood as a behaviour with uniquely adverse consequences, is on the rise among Canadian youth. High levels of e-cigarette vaping and the recent legalization of recreational cannabis use may result in an acceleration of this trend. The aim of this work was to characterise changes in youth poly-substance use over time, generate baseline data for future investigations, and highlight areas of interest for policy action. Methods Descriptive statistics and regression models explored patterns and trends in concurrent use of multiple substances (alcohol, cigarettes, cannabis, and e-cigarettes) among Canadian high school students taking part in the COMPASS prospective cohort study during Y2 (2013/2014; n = 45,298), Y3 (2014/2015, n = 42,355), Y4 (2015/2016; n = 40,436), Y5 (2016/2017; n = 37,060), and Y6 (2017/2018; n = 34,879). Results Poly-substance use increased significantly over time, with over 50% of students who used substance reporting past-year use of multiple substances by 2017/2018. Male and Indigenous students were significantly more likely to report poly-substance use than female and white students respectively. E-cigarette vaping doubled from Y5 to Y6 and was included in all increasingly prevalent substance use combinations. Conclusions Youth poly-substance use, rising since 2012/2013, saw a particularly steep increase after 2016/2017. Differential effects were observed for distinct demographic subpopulations, indicating tailored interventions may be required. E-cigarette vaping surged in parallel with the observed increase, suggesting a key role for this behaviour in shaping youth poly-substance use.

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Section: Discussionsupporting

confidence: 60%

Trends of poly-substance use among Canadian youth

Zuckermann

Williams

Battista

et al. 2019

Addictive Behaviors Reports

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“…Viewing e-cigarette social media content has been associated with similar outcomes in prior research, although prior research was correlational and most studies did not involve adolescents or distinguish between peer-generated content and advertisements. [25][26][27] Unexpectedly, e-cigarette content exposure (heavy or light) did not interact with content source (peer-generated or advertisement) to influence ecigarette use outcomes. Viewing advertisements, however, did result in greater willingness, intention, attitudes, and norm perceptions.…”

Section: Accepted Manuscriptmentioning

confidence: 87%

“…However, social media posts generated by other young people (i.e., peers) may have an even stronger influence than advertisements on adolescents' e-cigarette use. Three studies [25][26][27] have found associations between e-cigarette use and exposure to e-cigarette content (i.e., advertisements and/or peer-generated posts) on social media; however, these studies were correlational and two 25,26 surveyed college students. College students' behavior may be less influenced by peers than adolescents' behavior, as the impact of social norms can decrease with age.…”

Section: Accepted Manuscript Introductionmentioning

confidence: 99%

Effects of Social Media on Adolescents’ Willingness and Intention to Use E-Cigarettes: An Experimental Investigation

Vogel

Ramo

Rubinstein

et al. 2020

Nicotine &Amp; Tobacco Research

134

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Introduction This study examined effects of experimentally manipulated social media exposure on adolescents’ willingness and intention to use e-cigarettes. Methods Participants were 135 adolescents age 13-18 (52.6% female, M age=15.3) in California. Participants viewed 6 social media posts online in a 2 (post source: peer or advertisement) X 2 (e-cigarette content exposure: heavy or light) between-subjects design. Analyses were weighted to population benchmarks. We examined adolescents’ beliefs, willingness, and intention to use e-cigarettes in association with social media use intensity in daily life and with experimentally manipulated exposure to social media posts that varied by source (peer or advertisement) and content (e-cigarette heavy or light). Results Greater social media use in daily life was associated with greater willingness and intention to use e-cigarettes and more positive attitudes, greater perceived norms, and lower perceived danger of e-cigarette use (all p-values<.01). In tests of the experimental exposures, heavy (versus light) e-cigarette content resulted in greater intention (p=.049) to use e-cigarettes and more positive attitudes (p=.019). Viewing advertisements (versus peer-generated posts) resulted in greater willingness and intention (p-values<.01) to use e-cigarettes, more positive attitudes (p=.003), and greater norm perceptions (p=.009). The interaction effect of post source by post content was not significant for any of the outcomes (all p-values>0.529) Conclusions Greater social media use and heavier exposure to advertisements and e-cigarette content in social media posts are associated with a greater risk for e-cigarette use among adolescents. Regulatory action is needed to prohibit sponsored e-cigarette content on social media platforms used by youth.

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“…Higher levels of online engagement were associated with greater susceptibility to use a tobacco product among tobacco never users as well as current and past tobacco users. A longitudinal study of 1742 never e-cigarette users reported that exposure to e-cigarette advertisements on social media had an effect on subsequent use of e-cigarettes 29. Social media has also been exploited in marketing alcoholic beverages with a transition in emphasis from exposure to engagement noted over recent years.…”

Section: Discussionmentioning

confidence: 99%