Racial/ethnic disparities in exposure to e-cigarette advertising among U.S. youth.

OBJECTIVES: This study aims to assess exposure to e-cigarette advertising across multiple marketing channels among U.S. youth and to examine whether racial/ethnic disparities exist in exposure to e-cigarette advertisements. STUDY DESIGN: This is a cross-sectional study. METHODS: Cross-sectional data were drawn from a longitudinal survey of participants recruited from two nationally representative panels (NORC's AmeriSpeak® and GfK's KnowledgePanel). A total of 2043 youth aged 13-17 completed the initial 2018 survey, and 2013 youth completed the follow-up survey in 2019 (including a replenishment sample of 690 youth). Outcome variables were self-reported e-cigarette advertisement exposure in the past three months through various sources, such as television, point of sale, and online/social media. Generalized estimating equation models were used to estimate the adjusted odds ratios (AOR) of the association between racial/ethnic identity and e-cigarette advertisement exposure. RESULTS: The prevalence of reported exposure to e-cigarette advertisements through any channel was 79.8% (95% CI: 77.1-82.2) in 2018 and 74.9% (95% CI: 72.5-77.1) in 2019, respectively. Point of sale was the most common source of e-cigarette advertisement exposure in both years. Non-Hispanic Black and non-Hispanic Asian youth were more likely to report exposure to e-cigarette advertisements through television (AOR = 2.07, 95% CI: 1.44-2.99 and AOR = 2.11, 95% CI: 1.17-3.82, respectively) and online/social media (AOR = 1.61; 95% CI: 1.11-2.33 and AOR = 1.99, 95% CI: 1.10-3.59, respectively) channels compared with non-Hispanic White youth. CONCLUSIONS: A substantial proportion of U.S. youth reported exposure to e-cigarette advertising through a variety of marketing channels. Significant racial/ethnic disparities existed, with non-Hispanic Black and Asian youth reporting more marketing exposure than their non-Hispanic White counterparts.

Simulated effect of tobacco tax variation on population health in California.

OBJECTIVES: This study simulated the effects of tobacco excise tax increases on population health. METHODS: Five simulations were used to estimate health outcomes associated with tobacco tax policies: (1) the effects of price on smoking prevalence; (2) the effects of tobacco use on years of potential life lost; (3) the effect of tobacco use on quality of life (morbidity); (4) the integration of prevalence, mortality, and morbidity into a model of quality adjusted life years (QALYs); and (5) the development of confidence intervals around these estimates. Effects were estimated for 1 year after the tax's initiation and 75 years into the future. RESULTS: In California, a $0.50 tax increase and price elasticity of -0.40 would result in about 8389 QALYs (95% confidence interval [CI] = 4629, 12,113) saved the first year. Greater benefits would accrue each year until a steady state was reached after 75 years, when 52,136 QALYs (95% CI = 38,297, 66,262) would accrue each year. Higher taxes would produce even greater health benefits. CONCLUSIONS: A tobacco excise tax may be among a few policy options that will enhance a population's health status while making revenues available to government.