Olatokunbo Osibogun1, Ziyad Ben Taleb2, Raed Bahelah2, Ramzi G Salloum3, Wasim Maziak2. 1. Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th St, AHC5, Miami, FL 33199, USA. Electronic address: oosib002@fiu.edu. 2. Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 SW 8th St, AHC5, Miami, FL 33199, USA. 3. Department of Health Outcomes and Policy, University of Florida, PO Box 100177, Gainesville, FL 32610-0177, USA.
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. Published by Elsevier B.V.
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. Published by Elsevier B.V.
Entities:
Keywords:
Alcohol; Drug use; Heavy drinking; Marijuana; Poly-tobacco use; Tobacco use; Young adults; Youth
Authors: Christopher W Kahler; Ron Borland; Andrew Hyland; Sherry A McKee; Mary E Thompson; K Michael Cummings Journal: Drug Alcohol Depend Date: 2008-12-03 Impact factor: 4.492
Authors: Karin A Kasza; Bridget K Ambrose; Kevin P Conway; Nicolette Borek; Kristie Taylor; Maciej L Goniewicz; K Michael Cummings; Eva Sharma; Jennifer L Pearson; Victoria R Green; Annette R Kaufman; Maansi Bansal-Travers; Mark J Travers; Jonathan Kwan; Cindy Tworek; Yu-Ching Cheng; Ling Yang; Nikolas Pharris-Ciurej; Dana M van Bemmel; Cathy L Backinger; Wilson M Compton; Andrew J Hyland Journal: N Engl J Med Date: 2017-01-26 Impact factor: 91.245
Authors: Bridget K Ambrose; Hannah R Day; Brian Rostron; Kevin P Conway; Nicolette Borek; Andrew Hyland; Andrea C Villanti Journal: JAMA Date: 2015-11-03 Impact factor: 56.272
Authors: Jessica L King; Beth A Reboussin; Julie W Merten; Kimberly D Wiseman; Kimberly G Wagoner; Erin L Sutfin Journal: Addict Behav Date: 2020-01-13 Impact factor: 3.913
Authors: Philip Veliz; Andria Eisman; Sean Esteban McCabe; Rebecca Evans-Polce; Vita V McCabe; Carol J Boyd Journal: J Adolesc Health Date: 2019-08-05 Impact factor: 5.012
Authors: Rachel J Keith; Jessica L Fetterman; Olusola A Orimoloye; Zeina Dardari; Pawel K Lorkiewicz; Naomi M Hamburg; Andrew P DeFilippis; Michael J Blaha; Aruni Bhatnagar Journal: Nicotine Tob Res Date: 2020-02-06 Impact factor: 4.244
Authors: Beth A Reboussin; Kimberly G Wagoner; Jennifer Cornacchione Ross; Cynthia K Suerken; Erin L Sutfin Journal: Drug Alcohol Depend Date: 2021-08-28 Impact factor: 4.852
Authors: Michael S Dunbar; Rachana Seelam; Joan S Tucker; Anthony Rodriguez; Regina A Shih; Elizabeth J D'Amico Journal: Nicotine Tob Res Date: 2020-12-12 Impact factor: 4.244
Authors: Beomyoung Cho; Jana L Hirschtick; Bukola Usidame; Rafael Meza; Ritesh Mistry; Stephanie R Land; David T Levy; Theodore Holford; Nancy L Fleischer Journal: J Adolesc Health Date: 2021-01-09 Impact factor: 5.012