Carla J Berg1, Xuejing Duan2, Betelihem Getachew3, Kim Pulvers4, Natalie D Crawford3, Steve Sussman5, Yan Ma6, Carla Jones-Harrell3, Lisa Henriksen7. 1. Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States. 2. Biostatistics and Epidemiology Consulting Service, Milken Institute School of Public Health, George Washington University, Washington, DC, United States. 3. Department of Behavioral, Social and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, United States. 4. Department of Psychology, California State University San Marcos, San Marcos, CA, United States. 5. Departments of Preventive Medicine and Psychology, and School of Social Work, University of Southern California, Alhambra, CA, United States. 6. Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, Washington, DC, United States. 7. Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Abstract
OBJECTIVES: Given the need to understand e-cigarette retail and its impact, we examined sociodemographic, tobacco and marijuana use, and e-cigarette retail experiences as correlates of (1) past 30-day e-cigarette use, (2) past 30-day advertising/media exposure, and (3) point-of-sale age verification among young adults. METHODS: We analyzed baseline survey data (September-December, 2018) among 3006 young adults (ages 18-34) in 6 metropolitan areas (Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, Seattle) in a 2-year longitudinal study. RESULTS: In this sample (Mage = 24.6, 42.3% male, 71.6% white, 11.4% Hispanic), 37.7% (N = 1133) were past 30-day e-cigarette users; 68.6% (N = 2062; non-users: 66.0%, users: 72.9%) reported past 30-day e-cigarette-related advertising/media exposure. Among e-cigarette users, vape shops were the most common source of e-cigarettes (44.7%) followed by online (18.2%). Among users, 34.2% were "almost always" asked for age verification. In multilevel logistic regression, e-cigarette use and advertising/media exposure were correlated (and both correlated with being younger). E-cigarette use also correlated with other tobacco product and marijuana use (and being male and white). Infrequent age verification correlated with commonly purchasing e-cigarettes online (and being older and black). CONCLUSIONS: Increased efforts are needed to reduce young adult advertising/media exposure and increase retailer compliance among retailers, particularly online and vape shops.
OBJECTIVES: Given the need to understand e-cigarette retail and its impact, we examined sociodemographic, tobacco and marijuana use, and e-cigarette retail experiences as correlates of (1) past 30-day e-cigarette use, (2) past 30-day advertising/media exposure, and (3) point-of-sale age verification among young adults. METHODS: We analyzed baseline survey data (September-December, 2018) among 3006 young adults (ages 18-34) in 6 metropolitan areas (Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, Seattle) in a 2-year longitudinal study. RESULTS: In this sample (Mage = 24.6, 42.3% male, 71.6% white, 11.4% Hispanic), 37.7% (N = 1133) were past 30-day e-cigarette users; 68.6% (N = 2062; non-users: 66.0%, users: 72.9%) reported past 30-day e-cigarette-related advertising/media exposure. Among e-cigarette users, vape shops were the most common source of e-cigarettes (44.7%) followed by online (18.2%). Among users, 34.2% were "almost always" asked for age verification. In multilevel logistic regression, e-cigarette use and advertising/media exposure were correlated (and both correlated with being younger). E-cigarette use also correlated with other tobacco product and marijuana use (and being male and white). Infrequent age verification correlated with commonly purchasing e-cigarettes online (and being older and black). CONCLUSIONS: Increased efforts are needed to reduce young adult advertising/media exposure and increase retailer compliance among retailers, particularly online and vape shops.
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