Addictive behaviors | 2019
Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013-2014).
Abstract
INTRODUCTION\nImproved understanding of the distribution of traditional risk factors of cigarette smoking among youth who have ever used or are susceptible to e-cigarettes and cigarettes will inform future longitudinal studies examining transitions in use.\n\n\nMETHODS\nMultiple logistic regression analysis was conducted using data from youth (ages 12-17\u202fyears) who had ever heard of e-cigarettes at baseline of the PATH Study (n\u202f=\u202f12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and susceptibility status.\n\n\nRESULTS\nCompared to committed never users, youth susceptible to e-cigarettes, cigarettes, or both had increasing odds of risk factors for cigarette smoking, with those susceptible to both products at highest risk, followed by cigarettes and e-cigarettes. Compared to e-cigarette only users, dual users had higher odds of nearly all risk factors (aOR range\u202f=\u202f1.6-6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range\u202f=\u202f1.5-2.3), marijuana use (aOR\u202f=\u202f1.9, 95%CI\u202f=\u202f1.4-2.5), a high GAIN substance use score (aOR\u202f=\u202f1.9, 95%CI\u202f=\u202f1.1-3.4), low academic achievement (aOR range\u202f=\u202f1.6-3.4), and exposure to smoking (aOR range\u202f=\u202f1.8-2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sensation seeking, or household use of non-cigarette tobacco.\n\n\nCONCLUSIONS\nAmong ever cigarette and e-cigarette users, dual users had higher odds of reporting traditional risk factors for smoking, followed by single product cigarette smokers and e-cigarette users. Understanding how e-cigarette and cigarette users differ may inform youth tobacco use prevention efforts and advise future studies assessing probability of progression of cigarette and e-cigarette use.