Deepa R Camenga1, Grace Kong2, Dana A Cavallo2, Amanda Liss2, Andrew Hyland3, Jennifer Delmerico3, K Michael Cummings4, Suchitra Krishnan-Sarin2. 1. Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut. Electronic address: deepa.camenga@yale.edu. 2. Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut. 3. Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, New York. 4. Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina.
Abstract
PURPOSE: To determine whether use of alternative tobacco products (i.e., cigars, blunts, hookah, smokeless tobacco), alcohol, and marijuana differs among adolescents who currently use (1) electronic cigarettes (e-cigarettes); (2) cigarettes only; and (3) never smokers. METHODS: Analysis of a self-reported survey from four high schools in 2010-2011 (n = 3,102) with a subsample (n = 1,556) surveyed on alcohol and marijuana. Analyses were conducted with multinomial logistic regression models accounting for clustering by schools. RESULTS: The sample contained 2.4% (n = 76) e-cigarette users, 12.4% (n = 386) cigarette smokers, and 85.1% (n = 3,197) never smokers. E-cigarette users were more likely than cigarette-only smokers to report blunt (adjusted odds ratio, 1.81; 95% confidence interval, 1.21-2.71) and hookah use (adjusted odds ratio, 3.12; 95% confidence interval, 1.90-5.13), but not cigar, smokeless tobacco, alcohol, or marijuana use. CONCLUSIONS: E-cigarette users are more likely than cigarette smokers to use hookah and blunts.
PURPOSE: To determine whether use of alternative tobacco products (i.e., cigars, blunts, hookah, smokeless tobacco), alcohol, and marijuana differs among adolescents who currently use (1) electronic cigarettes (e-cigarettes); (2) cigarettes only; and (3) never smokers. METHODS: Analysis of a self-reported survey from four high schools in 2010-2011 (n = 3,102) with a subsample (n = 1,556) surveyed on alcohol and marijuana. Analyses were conducted with multinomial logistic regression models accounting for clustering by schools. RESULTS: The sample contained 2.4% (n = 76) e-cigarette users, 12.4% (n = 386) cigarette smokers, and 85.1% (n = 3,197) never smokers. E-cigarette users were more likely than cigarette-only smokers to report blunt (adjusted odds ratio, 1.81; 95% confidence interval, 1.21-2.71) and hookah use (adjusted odds ratio, 3.12; 95% confidence interval, 1.90-5.13), but not cigar, smokeless tobacco, alcohol, or marijuana use. CONCLUSIONS: E-cigarette users are more likely than cigarette smokers to use hookah and blunts.
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