OBJECTIVE: We examined the impact of e-cigarette advertising on e-cigarette use behaviors among youth over time. METHODS: At baseline, 3907 students participated in a youth tobacco surveillance study from 2014-2015 and 2488 students completed a 6-month follow-up. Weighted logistic regression models investigated the recall of e-cigarette advertisements (TV/radio/billboards/retail/Internet) as a risk factor for e-cigarette perceived harm, use, and susceptibility. RESULTS: The odds of ever e-cigarette use was 3 times higher (AOR=2.99; 95% CI, 1.50-5.97) at 6-month follow-up among e-cigarette never-users who recalled e-cigarette advertisements in retail stores at baseline, compared to those who did not. Likewise, the odds of current e-cigarette use and susceptibility to e-cigarette use at 6-month follow-up were 2.03 (95% CI, 1.11-3.72) and 1.77 (95% CI, 1.20-2.61), respectively. Additionally, recall of e-cigarette advertisements on the Internet at baseline was significantly related to current use (AOR=2.17; 95% CI, 1.05-4.48) and susceptibility to use e-cigarettes (AOR=1.72;95% CI, 1.15-2.58) at 6-month follow-up. CONCLUSIONS: Recall of e-cigarette advertisements at point-of-sale and on the Internet was significantly associated with adolescent e-cigarette susceptibility and use, which supports the need to minimize adolescent exposure to these advertisements.
OBJECTIVE: We examined the impact of e-cigarette advertising on e-cigarette use behaviors among youth over time. METHODS: At baseline, 3907 students participated in a youth tobacco surveillance study from 2014-2015 and 2488 students completed a 6-month follow-up. Weighted logistic regression models investigated the recall of e-cigarette advertisements (TV/radio/billboards/retail/Internet) as a risk factor for e-cigarette perceived harm, use, and susceptibility. RESULTS: The odds of ever e-cigarette use was 3 times higher (AOR=2.99; 95% CI, 1.50-5.97) at 6-month follow-up among e-cigarette never-users who recalled e-cigarette advertisements in retail stores at baseline, compared to those who did not. Likewise, the odds of current e-cigarette use and susceptibility to e-cigarette use at 6-month follow-up were 2.03 (95% CI, 1.11-3.72) and 1.77 (95% CI, 1.20-2.61), respectively. Additionally, recall of e-cigarette advertisements on the Internet at baseline was significantly related to current use (AOR=2.17; 95% CI, 1.05-4.48) and susceptibility to use e-cigarettes (AOR=1.72;95% CI, 1.15-2.58) at 6-month follow-up. CONCLUSIONS: Recall of e-cigarette advertisements at point-of-sale and on the Internet was significantly associated with adolescent e-cigarette susceptibility and use, which supports the need to minimize adolescent exposure to these advertisements.
Entities:
Keywords:
e-cigarettes; tobacco advertising; tobacco use; youth use of tobacco alternatives
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