E-cigarette Marketing Exposure and Subsequent Experimentation Among Youth and Young Adults

Author:

Chen-Sankey Julia Cen1,Unger Jennifer B.2,Bansal-Travers Maansi3,Niederdeppe Jeff4,Bernat Edward5,Choi Kelvin1

Affiliation:

1. Division of Intramural Research, National Institute on Minority Health and Health Disparities, Bethesda, Maryland;

2. Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California;

3. Division of Cancer Prevention and Population Sciences, Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York;

4. Department of Communication, Cornell University, Ithaca, New York; and

5. Department of Psychology, University of Maryland, College Park, Maryland

Abstract

OBJECTIVES: Electronic cigarette (e-cigarette) use has become increasingly prevalent among US youth and young adults in recent years. Exposure to e-cigarette marketing may stimulate e-cigarette use. In this study, we estimated the longitudinal association between e-cigarette marketing exposure and e-cigarette experimentation among US youth and young adult never tobacco users. METHODS: The analysis included nationally representative samples of youth (ages 12–17; n = 8121) and young adult (ages 18–24; n = 1683) never tobacco users from wave 2 (2014–2015) and wave 3 (2015–2016) of the Population Assessment of Tobacco and Health Study. In the study, researchers measured past-month exposure to e-cigarette marketing through various places (eg, Web sites and events) at wave 2 and e-cigarette experimentation at wave 3. Statistical analysis included multivariable regressions to examine the associations between wave 2 e-cigarette marketing exposure and wave 3 e-cigarette experimentation. RESULTS: At wave 2, 70.7% of youth and 73.9% of young adult never tobacco users reported past-month exposure to e-cigarette marketing; at wave 3, 4.9% and 4.5% of youth and young adults experimented with e-cigarettes, respectively. Youth and young adults exposed to e-cigarette marketing at wave 2 were more likely (adjusted odds ratio = 1.53, 95% confidence interval = 1.07–2.17; and adjusted odds ratio = 2.73, 95% confidence interval = 1.16–6.42, respectively) to have experimented with e-cigarettes at wave 3 than those not exposed. Marketing exposure through each place at wave 2 was associated with e-cigarette experimentation at wave 3. CONCLUSIONS: E-cigarette marketing exposure predicted subsequent e-cigarette experimentation among youth and young adult never tobacco users. Increased restrictions on marketing through various channels may help minimize their exposure to e-cigarette marketing messages.

Publisher

American Academy of Pediatrics (AAP)

Subject

Pediatrics, Perinatology and Child Health

Reference48 articles.

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2. Tobacco product use among adults - United States, 2017;Wang;MMWR Morb Mortal Wkly Rep,2018

3. Centers for Disease Control and Prevention. E-cigarette use among youth and young adults. A report of the surgeon general. 2016. Available at: https://e-cigarettes.surgeongeneral.gov/documents/2016_sgr_full_report_non-508.pdf. Accessed November 1, 2017

4. Electronic cigarettes may lead to nicotine addiction;Fillon;J Natl Cancer Inst,2015

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