biostudies-literatureLiu JCenter for Tobacco ProductsNIDA NIH HHSNational Cancer InstituteNCI NIH HHSNational Institutes of HealthNational Institute on Drug Abuse257-265https://www.ebi.ac.uk/biostudies/studies/S-EPMC9877189biostudies-literatureUnknown58(2)<i>Background:</i> The prevalence of e-cigarette use among young people remains high. Young people are susceptible to e-cigarette advertising, although potential heterogeneity in perceptions of e-cigarette ads with respect to age and e-cigarette use history remains unexplored. We aimed to assess differences in perceptions of e-cigarette ads and product use intention, by age and e-cigarette use status. <i>Methods</i>: Participants from an online convenience sample (<i>N</i> = 497, <i>M</i>_age=31.9) viewed two randomly selected e-cigarette ads and reported their perceptions of the ads and product use intention. We used mixed effects linear regression models to estimate associations between age group (18-20 years, 21-25 years, 26+ years), e-cigarette use status (never, former, and Substance use & misuseHow Age and E-cigarette Use Status Interact to Influence E-cigarette Ad Perceptions.PMC9877189T32 CA057711K99 CA260718R00DA046563R00 DA046563T32CA229114T32 CA229114T32CA172009K99CA260718T32 CA172009L60 CA264533T32CA057711-27R00 CA260718Liu JLee DNStevens EMVazquez-Otero CPatterson JGWedel AVKeller-Hamilton BfalseHow Age and E-cigarette Use Status Interact to Influence E-cigarette Ad Perceptions.<i>Background:</i> The prevalence of e-cigarette use among young people remains high. Young people are susceptible to e-cigarette advertising, although potential heterogeneity in perceptions of e-cigarette ads with respect to age and e-cigarette use history remains unexplored. We aimed to assess differences in perceptions of e-cigarette ads and product use intention, by age and e-cigarette use status. <i>Methods</i>: Participants from an online convenience sample (<i>N</i> = 497, <i>M</i>_age=31.9) viewed two randomly selected e-cigarette ads and reported their perceptions of the ads and product use intention. We used mixed effects linear regression models to estimate associations between age group (18-20 years, 21-25 years, 26+ years), e-cigarette use status (never, former, and 2023-01-01T00:00:00Z20232025-04-04T03:00:35.779Z2025-04-04T03:00:35.779ZS-EPMC98771893651078610.1080/10826084.2022.2155479