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Updated: Jun 25, 2025

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
Published on: May 24, 2017
Adolescent's explicit and implicit cigarette cognitions predict experimentation with both cigarettes and e-cigarettes
Christopher Cappelli1, James Russell Pike2, Bin Xie3
1Department of Health and Human Sciences, Loyola Marymount University, Los Angeles, CA, USA.
Abstract:
Background: Past year, month, and lifetime adolescent e-cigarette use rates remain persistently high, despite falling cigarette use rates. Previous investigations have noted a strong relationship between an individual's positive and negative cognitions related to a behavior, and subsequent initiation of that behavior.Objective: This investigation was conducted to determine the impact positive and negative explicit and implicit cigarette-related cognitions may have on the use of cigarettes and e-cigarettes among at-risk, cigarette-naive adolescents.Methods: A three-year longitudinal investigation evaluated the relationship between cigarette-related cognitions and subsequent cigarette and e-cigarette use among 586 alternative high school students (female: 50.8%; mean age: 17.4 years; Hispanic/Latino: 75.0%) who had never smoked cigarettes at the baseline assessment. Multilevel logistic regression models were used to generate demographics-adjusted odds ratios (OR) and 95% confidence intervals (95% CI).Results: Students with higher positive explicit cigarette cognitions at the baseline had greater odds of subsequent cigarette use (OR = 1.72, 95% CI 1.11-2.68). If students also reported an increase over time in positive (OR = 3.45, 95% CI 2.10-5.68) or negative (OR = 1.93, 95% CI 1.03-3.61) explicit cigarette cognitions, the odds of cigarette use increased. The odds of dual use of cigarettes and e-cigarettes were greater among students who had higher negative implicit cigarette cognitions at the baseline (OR = 2.07, 95% CI 1.03-4.17) compared to those with lower levels of negative implicit cognitions.Conclusion: Prevention programming that focuses on decreasing positive cognitions related to nicotine and tobacco use may have greater overall effect on decreasing use compared to programs that only focus on increasing negative cognitions individuals form surrounding cigarette or e-cigarettes.
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