Sandra Milicic1, Scott T Leatherdale2. 1. School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada. Electronic address: smilicic@waterloo.ca. 2. School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
Abstract
PURPOSE: Use of e-cigarettes by youth is proliferating worldwide, but little is known about the behavioral profile of youth e-cigarette users and the association of e-cigarette use with other health-risky behaviors. This study examines the associations between e-cigarette use and tobacco, marijuana, and alcohol use among a large sample of Canadian youth. METHODS: Using Canadian data from 39,837 grade 9 to 12 students who participated in year 3 (2014-2015) of the COMPASS study, logistic regression models were used to examine how current use of e-cigarettes were associated with tobacco, marijuana, binge drinking, and energy drinks mixed with alcohol. Pearson's chi-square tests were used to examine subgroup differences by sex. RESULTS: Overall, 9.75% of respondents were current e-cigarette users. Current cigarette smokers (odds ratio [OR] = 3.009), current marijuana users (OR = 5.549), and noncurrent marijuana users (OR = 3.653) were more likely to report using e-cigarettes than noncigarette smokers and nonmarijuana users. Gender differences among males and females showed higher risk of e-cigarette use among female current marijuana users (OR = 7.029) relative to males (OR = 4.931) and female current smokers (OR = 3.284) compared to males (OR = 2.862). Compared to nonbinge drinkers, weekly (OR = 3.253), monthly (OR = 3.113), and occasional (OR = 2.333) binge drinkers were more likely to use e-cigarettes. Similarly, students who consume energy drinks mixed with alcohol (OR = 1.650) were more likely to use e-cigarettes compared to students who do not consume them. CONCLUSIONS: We identify that youth who binge drink or use marijuana have a greater increased risk for using e-cigarettes compared to cigarette smokers. These data suggest that efforts to prevent e-cigarette use should not only be discussed in the domain of tobacco control.
PURPOSE: Use of e-cigarettes by youth is proliferating worldwide, but little is known about the behavioral profile of youth e-cigarette users and the association of e-cigarette use with other health-risky behaviors. This study examines the associations between e-cigarette use and tobacco, marijuana, and alcohol use among a large sample of Canadian youth. METHODS: Using Canadian data from 39,837 grade 9 to 12 students who participated in year 3 (2014-2015) of the COMPASS study, logistic regression models were used to examine how current use of e-cigarettes were associated with tobacco, marijuana, binge drinking, and energy drinks mixed with alcohol. Pearson's chi-square tests were used to examine subgroup differences by sex. RESULTS: Overall, 9.75% of respondents were current e-cigarette users. Current cigarette smokers (odds ratio [OR] = 3.009), current marijuana users (OR = 5.549), and noncurrent marijuana users (OR = 3.653) were more likely to report using e-cigarettes than noncigarette smokers and nonmarijuana users. Gender differences among males and females showed higher risk of e-cigarette use among female current marijuana users (OR = 7.029) relative to males (OR = 4.931) and female current smokers (OR = 3.284) compared to males (OR = 2.862). Compared to nonbinge drinkers, weekly (OR = 3.253), monthly (OR = 3.113), and occasional (OR = 2.333) binge drinkers were more likely to use e-cigarettes. Similarly, students who consume energy drinks mixed with alcohol (OR = 1.650) were more likely to use e-cigarettes compared to students who do not consume them. CONCLUSIONS: We identify that youth who binge drink or use marijuana have a greater increased risk for using e-cigarettes compared to cigarette smokers. These data suggest that efforts to prevent e-cigarette use should not only be discussed in the domain of tobacco control.
Authors: Kimberley R Isett; Simone Rosenblum; Julie Ann Barna; Diana Hicks; Gregg H Gilbert; Julia Melkers Journal: J Adolesc Health Date: 2018-11 Impact factor: 5.012
Authors: Joris C Verster; Sarah Benson; Sean J Johnson; Chris Alford; Samuel Benrejeb Godefroy; Andrew Scholey Journal: Hum Psychopharmacol Date: 2018-02-08 Impact factor: 1.672