Amy M Cohn1,2, Amanda L Johnson3, Shyanika W Rose3, Jennifer L Pearson4,5, Andrea C Villanti5,6, Cassandra Stanton2,7. 1. Battelle, Arlington, Virginia. 2. Department of Oncology, Georgetown University Medical Center, Washington, DC, District of Columbia. 3. Truth Initiative Schroeder Institute, Washington, DC, District of Columbia. 4. School of Community Health Sciences, University of Nevada, Reno, Reno, Nevada. 5. Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. 6. Department of Psychiatry, University of Vermont, Vermont Center on Behavior and Health, Burlington, Vermont. 7. Westat, Rockville, Maryland.
Abstract
BACKGROUND AND OBJECTIVES: This study identified the most common patterns of current alcohol and marijuana use with the spectrum of tobacco products (cigarettes, hookah, e-cigarettes, cigars/little cigars, and other products), among US young adults and older adults and examined associations of mental health and substance use problems with each pattern. METHODS: Wave 1 adult dataset (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study. Weighted analyses estimated the prevalence of the top 10 patterns of current alcohol, marijuana, and tobacco use and co-use separately by young adults aged 18-24 (n = 9,112) and adults 25+ years (n = 23,208). Multivariable models examined associations of substance use and mental health problems to patterns of use, adjusting for demographics. RESULTS: Across both age groups, alcohol-only use was the most popular use pattern (20.7% for young adults and 32.2% older adults) however poly-substance use patterns were more frequent than single use patterns. Cigarettes were the only tobacco product used exclusively; all other tobacco products were used with together, or with alcohol or marijuana. Only one young adult pattern emerged containing e-cigarettes, and this pattern included co-use with alcohol and cigarettes (1.3%). Mental health and substance use problems were most strongly correlated with dual and poly-substance use patterns, regardless of age. SCIENTIFIC SIGNIFICANCE: Prevention and intervention campaigns should focus on multiple product use, as single substance use is uncommon. Alcohol is common in all patterns, suggesting it should also gain more focus in marijuana and tobacco prevention and intervention programs. (Am J Addict 2018;27:491-500).
BACKGROUND AND OBJECTIVES: This study identified the most common patterns of current alcohol and marijuana use with the spectrum of tobacco products (cigarettes, hookah, e-cigarettes, cigars/little cigars, and other products), among US young adults and older adults and examined associations of mental health and substance use problems with each pattern. METHODS: Wave 1 adult dataset (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study. Weighted analyses estimated the prevalence of the top 10 patterns of current alcohol, marijuana, and tobacco use and co-use separately by young adults aged 18-24 (n = 9,112) and adults 25+ years (n = 23,208). Multivariable models examined associations of substance use and mental health problems to patterns of use, adjusting for demographics. RESULTS: Across both age groups, alcohol-only use was the most popular use pattern (20.7% for young adults and 32.2% older adults) however poly-substance use patterns were more frequent than single use patterns. Cigarettes were the only tobacco product used exclusively; all other tobacco products were used with together, or with alcohol or marijuana. Only one young adult pattern emerged containing e-cigarettes, and this pattern included co-use with alcohol and cigarettes (1.3%). Mental health and substance use problems were most strongly correlated with dual and poly-substance use patterns, regardless of age. SCIENTIFIC SIGNIFICANCE: Prevention and intervention campaigns should focus on multiple product use, as single substance use is uncommon. Alcohol is common in all patterns, suggesting it should also gain more focus in marijuana and tobacco prevention and intervention programs. (Am J Addict 2018;27:491-500).
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: Won K Cook; William C Kerr; Katherine J Karriker-Jaffe; Libo Li; Camillia K Lui; Thomas K Greenfield Journal: Am J Prev Med Date: 2020-01 Impact factor: 5.043
Authors: Nhung Nguyen; Julia McQuoid; Torsten B Neilands; Sarah S Dermody; Louisa M Holmes; Pamela M Ling; Johannes Thrul Journal: Psychol Addict Behav Date: 2020-08-17