Correlates of poly-tobacco use among youth and young adults: Findings from the Population Assessment of Tobacco and Health study, 2013–2014. (1st June 2018)

• Record Type: Journal Article
• Authors: Osibogun, Olatokunbo; Taleb, Ziyad Ben; Bahelah, Raed; Salloum, Ramzi G.; Maziak, Wasim
• Is Part Of: Drug and alcohol dependence. Volume 187(2018)
• Page Start: 160
• Page End: 164
• Publication Date: 2018-06-01
• Subjects: Alcohol -- Drug use -- Heavy drinking -- Marijuana -- Poly-tobacco use -- Tobacco use -- Youth -- Young adults; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2018.02.024
• Languages: English
• ISSNs: 0376-8716

Abstract

Highlights: Examined correlates of past 30-day poly-tobacco use among youth and young adults. Data were from the Population Assessment of Tobacco and Health study, 2013–2014. About 4% of youth, 22% younger- and 16% older young adults report poly-tobacco use. Most common combination of poly-tobacco was cigarettes and e-cigarettes. Correlates of poly-tobacco use differed by age-groups. Abstract: Introduction: Poly-tobacco use is common among youth and young adults. This study examined sociodemographic, tobacco-related, and substance use characteristics of poly-tobacco use compared to mono-tobacco use among youth and young adults (12–34 years) in the United States. Methods: We conducted a descriptive analysis by age-group of 12898 youth (12–17 years), 8843 younger young adults (18–24 years), and 6081 older young adults (24–34 years) from the 2013–2014 Population Assessment of Tobacco and Health study. Multiple logistic regression modeling was conducted to assess the sociodemographic, tobacco-related, and substance use associations with current (past 30 days) tobacco use on a binary scale (poly- versus mono-tobacco use) among tobacco users. Results: Between 2013 and 2014, 3.6% of youth, 21.7% of younger young adults, and 15.8% of older young adults were current poly-tobacco users in the general population. In the regression analyses, among youth tobacco users, heavy drinking was the only factor associated with higher odds of poly-tobacco use. Factors associated with higher odds of poly-tobacco use among younger young adults included being male, having less than high school diploma or GED, residing in the South, having 2 and ≥3 quit attempts, heavy drinking, and marijuana use. Residing in the South, older ages of exposure to tobacco use, and marijuana use were associated with higher odds of poly-tobacco use among older young adults. Conclusions: Regardless of tobacco product type, poly-tobacco use was common among youth and young adults. Interventions designed to address factors associated with poly-tobacco use among youth and young adults are warranted.