Journal
EPIDEMIOLOGY
Volume 33, Issue 4, Pages 523-532Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/EDE.0000000000001491
Keywords
e-Cigarettes; Smoking; Youth; Marginal structural models; Confounding
Categories
Funding
- National Heart, Lung, and Blood Institute [U54HL120163]
- FDA Center for Tobacco Products
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The use of e-cigarettes by youth is associated with subsequent initiation of smoking, and this association persists even after accounting for time-varying factors and confounding variables. It is estimated that over half a million youth in the US started smoking because of previous e-cigarette use.
Background: Youth e-cigarette use is associated with the initiation of combustible cigarette smoking, but prior studies have rarely accounted for time-varying measures of e-cigarette exposure or time-dependent confounding of e-cigarette use and smoking initiation. Methods: Using five waves of the Population Assessment of Tobacco and Health (2013-2019), we estimated marginal structural models with inverse probability of treatment and censoring weights to examine the association between time-varying e-cigarette initiation and subsequent cigarette smoking initiation among e-cigarette- and cigarette-naive youth (12-17 years) at baseline. Time-dependent confounders used as predictors in inverse probability weights included tobacco-related attitudes or beliefs, mental health symptoms, substance use, and tobacco-marketing exposure. Results: Among 9,584 youth at baseline, those who initiated e-cigarettes were 2.4 times as likely to subsequently initiate cigarette smoking as youth who did not initiate e-cigarettes (risk ratio - 2.4, 95% confidence interval [CI] = 2.1, 2.7), after accounting for timedependent confounding and selection bias. Among youth who initiated e-cigarettes, more frequent vaping was associated with greater risk of smoking initiation (risk ratio >= 3 days/month - 1.8, 95% CI = 1.4, 2.2; 1-2 days/month = 1.2; 95% CI = 0.93, 1.6 vs. 0 days/month). Weighted marginal structural model estimates were moderately attenuated compared with unweighted estimates adjusted for baseline-only confounders. At the US population level, we estimated over half a million youth initiated cigarette smoking because of prior e-cigarette use over follow-up. Conclusions: The association between youth vaping and combustible cigarette smoking persisted after accounting for time-dependent confounding. We estimate that e-cigarette use accounts for a considerable share of cigarette initiation among US youth. See video abstract at, http://links.lww.com/EDE/B937.
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