ArticleTobacco prevention & cessation2023
Exposure to e-cigarette advertisements and non-advertising content in relation to use behaviors and perceptions among US and Israeli adults.
Article in Tobacco prevention & cessation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of e-cigarette advertising, promotion, and sponsorship on cognition and behavior: a systematic review of public responses.BMC health services research · 2025Pooled it
- E-cigarettes and erectile dysfunction: biological mechanisms and research challenges.International journal of impotence research · 2026Review
- Cannabis Marketing Strategies in the United States: A Descriptive Analysis of Four Prominent Companies.Substance use & addiction journal · 2025Article
- Exploring social and environmental factors contributing to smoking initiation among Thai adolescents using advanced feature selection techniques.Tobacco prevention & cessation · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAs e-cigarette marketing strategies diversify, it is important to examine exposure to and impact of e-cigarette advertisements and non-advertising content (e.g. on social media) via multiple media channels among adults in different regulatory contexts.
methodsUsing 2021 cross-sectional data among 2222 adults in the US (n=1128) and Israel (n=1094), multivariable regression examined past-month e-cigarette advertisement and non-advertising content exposure in relation to past-month e-cigarette use (logistic regression), as well as use intentions and risk perceptions (linear regressions), controlling for sociodemographics and tobacco use.
resultsOverall, 20.3% reported past-month e-cigarette use (15.5% US, 25.2% Israel), 46.1% any advertisement exposure (28.7% digital media, 25.2% traditional media, 16.8% retail settings), and 34.1% any non-advertising exposure (19.4% social media, 13.6% websites, 12.3% movie/television/theater, 5.8% radio/podcasts). Exposure to digital media advertisements (AOR=1.95; 95% CI: 1.42-2.66), traditional media advertisements (AOR=2.00; 95% CI=1.49-2.68), and social media non-advertising (AOR=1.72; 95% CI: 1.25-2.36) correlated with e-cigarette use. Exposure to traditional media advertisements (β=0.23; 95% CI: 0.08-0.38) and social media non-advertising (β=0.26; 95% CI: 0.09-0.43) correlated with use intentions. Exposure to digital media advertisements (β= -0.32; 95% CI: -0.57 - -0.08), retail setting advertisements (β= -0.30; 95% CI: -0.58 - -0.03), and radio/podcast non-advertising (β= -0.44; 95% CI: -0.84 - -0.03) correlated with lower perceived addictiveness. Radio/podcast non-advertising exposure (β= -0.50; 95% CI: -0.84 - -0.16) correlated with lower perceived harm. However, retail setting advertisement exposure was associated with e-cigarette non-use (AOR=0.61; 95% CI: 0.42-0.87), and traditional media advertisement (β=0.38; 95% CI: 0.15-0.61) and social media non-advertising exposure (β=0.40; 95% CI: 0.14-0.66) correlated with greater perceived addictiveness.
conclusionsE-cigarette-related promotional content exposure across media platforms impacts perceptions and use, thus warranting regulation.
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