Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014)

Authors

Michael D. Sawdey, Food and Drug Administration, Silver SpringFollow
Hannah R. Day, Food and Drug Administration, Silver Spring
Blair Coleman, Food and Drug Administration, Silver Spring
Lisa D. Gardner, Food and Drug Administration, Silver Spring
Sarah E. Johnson, Food and Drug Administration, Silver Spring
Jean Limpert, Food and Drug Administration, Silver Spring
Hoda T. Hammad, Food and Drug Administration, Silver Spring
Macieji L. Goniewicz, Roswell Park Cancer Institute, Buffalo
David B. Abrams, New York University, New York
Cassandra A. Stanton, Westat, Rockville & Georgetown University Medical Center, Washington
Jennifer L. Pearson, University of Nevada, Reno,
Annette R. Kaufman, National Institutes of Health, Rockville
Heather L. Kimmel, U.S. Department of Health and Human Services, Bethesda
Cristine D. Delnevo, Rutgers School of Public Health, Piscataway
Wilson M. Compton, U.S. Department of Health and Human Services, Bethesda
Maansi Bansal-Travers, Roswell Park Cancer Institute, Buffalo
Raymond S. Niaura, New York University, New York
Andrew Hyland, Roswell Park Cancer Institute, Buffalo
Bridget K. Ambrose, Food and Drug Administration, Silver Spring

Date of this Version

2019

Document Type

Article

Citation

Addictive Behaviors 91 (2019) 51–60

https://doi.org/10.1016/j.addbeh.2018.11.027

Comments

U.S. government works are not subject to copyright.

Abstract

Introduction: Improved 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.

Methods: Multiple logistic regression analysis was conducted using data from youth (ages 12–17 years) who had ever heard of e-cigarettes at baseline of the PATH Study (n = 12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and sus- ceptibility status.

Results: Compared 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 = 1.6–6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range=1.5–2.3), marijuana use (aOR=1.9, 95%CI=1.4–2.5), a high GAIN substance use score (aOR = 1.9, 95%CI = 1.1–3.4), low academic achievement (aOR range = 1.6–3.4), and exposure to smoking (aOR range = 1.8–2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sen- sation seeking, or household use of non-cigarette tobacco.

Conclusions: Among 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.