Jennifer B Unger1, Daniel W Soto2, Adam Leventhal2. 1. University of Southern California Keck School of Medicine, 2001 N. Soto St., SSB 302, Los Angeles, CA 90089, United States. Electronic address: unger@usc.edu. 2. University of Southern California Keck School of Medicine, 2001 N. Soto St., SSB 302, Los Angeles, CA 90089, United States.
Abstract
PURPOSE: Electronic cigarettes (e-cigarettes) could have a multifaceted effect on public health by changing the likelihood that: (a) non-smokers and non-users of marijuana subsequently transition to cigarette and marijuana use, respectively, and/or: (b) cigarette smokers subsequently quit smoking. We analyzed data from a longitudinal study of Hispanic young adults in Los Angeles, California to determine whether e-cigarette use is associated with subsequent cigarette or marijuana use over a one-year period. METHODS: Survey data were collected from 1332 Hispanic young adults (59% female, mean age=22.7 years, SD=0.39 years) in 2014 and 2015. Logistic regression analyses examined the association between e-cigarette use in 2014 and cigarette/marijuana use in 2015, controlling for age, sex, and other substance use. RESULTS: In 2014, prevalence of past-month use was 9% for e-cigarettes, 21% for cigarettes, and 23% for marijuana. Among past-month cigarette nonsmokers in 2014, those who were past-month e-cigarette users in 2014 were over 3 times more likely to be past-month cigarette smokers in 2015, compared with those who did not report past-month e-cigarette use in 2014 (26% vs. 7%; OR=3.32, 95% CI=1.55, 7.10). Among past-month marijuana non-users in 2014, those who were past-month e-cigarette users in 2014 were nearly 2 times more likely to be past-month marijuana users in 2015 (24% vs. 12%;OR=1.97, 95% CI=1.01, 3.86). Among past-month cigarette and marijuana users in 2014, e-cigarette use in 2014 was not associated with a change cigarette and marijuana use, respectively, in 2015. CONCLUSIONS: Among Hispanic young adults, e-cigarettes could increase the likelihood of transitioning from non-user to user of cigarettes or marijuana and was not associated with smoking cessation.
PURPOSE: Electronic cigarettes (e-cigarettes) could have a multifaceted effect on public health by changing the likelihood that: (a) non-smokers and non-users of marijuana subsequently transition to cigarette and marijuana use, respectively, and/or: (b) cigarette smokers subsequently quit smoking. We analyzed data from a longitudinal study of Hispanic young adults in Los Angeles, California to determine whether e-cigarette use is associated with subsequent cigarette or marijuana use over a one-year period. METHODS: Survey data were collected from 1332 Hispanic young adults (59% female, mean age=22.7 years, SD=0.39 years) in 2014 and 2015. Logistic regression analyses examined the association between e-cigarette use in 2014 and cigarette/marijuana use in 2015, controlling for age, sex, and other substance use. RESULTS: In 2014, prevalence of past-month use was 9% for e-cigarettes, 21% for cigarettes, and 23% for marijuana. Among past-month cigarette nonsmokers in 2014, those who were past-month e-cigarette users in 2014 were over 3 times more likely to be past-month cigarette smokers in 2015, compared with those who did not report past-month e-cigarette use in 2014 (26% vs. 7%; OR=3.32, 95% CI=1.55, 7.10). Among past-month marijuana non-users in 2014, those who were past-month e-cigarette users in 2014 were nearly 2 times more likely to be past-month marijuana users in 2015 (24% vs. 12%;OR=1.97, 95% CI=1.01, 3.86). Among past-month cigarette and marijuana users in 2014, e-cigarette use in 2014 was not associated with a change cigarette and marijuana use, respectively, in 2015. CONCLUSIONS: Among Hispanic young adults, e-cigarettes could increase the likelihood of transitioning from non-user to user of cigarettes or marijuana and was not associated with smoking cessation.
Authors: Robert McMillen; Jonathan D Klein; Karen Wilson; Jonathan P Winickoff; Susanne Tanski Journal: Public Health Rep Date: 2019-08-16 Impact factor: 2.792
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Authors: Michael S Dunbar; Jordan P Davis; Anthony Rodriguez; Joan S Tucker; Rachana Seelam; Elizabeth J D'Amico Journal: Nicotine Tob Res Date: 2019-09-19 Impact factor: 4.244