Josephine T Hinds1, Alexandra Loukas2, Cheryl L Perry3. 1. Department of Kinesiology and Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd. D3700, Austin, TX, 78712 USA. Electronic address: josephine.t.hinds@utexas.edu. 2. Department of Kinesiology and Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd. D3700, Austin, TX, 78712 USA. Electronic address: alexandra.loukas@austin.utexas.edu. 3. The Michael & Susan Dell Center for Healthy Living, UTHealth School of Public Health, Austin Campus, 1616 Guadalupe St Suite 6.300, Austin, TX 78701 USA. Electronic address: Cheryl.L.Perry@uth.tmc.edu.
Abstract
INTRODUCTION: Polytobacco use is a growing concern; users are exposed to cumulatively more nicotine, increasing their risk for dependence and long-term use. More sexual minority (SM) young adults report polytobacco use than their heterosexual peers, yet no studies explore how their tobacco patterns vary across the diverse product landscape. The purpose of this study was to characterize SM young adults' patterns of tobacco use and nicotine dependence, and explore co-occurring risk factors for polytobacco use. METHODS: Participants were 609 SM Texas college students. Latent class analysis identified subgroups of tobacco users based on their tobacco use behaviors and an indicator of nicotine dependence. Multinomial logistic regression identified associations between individual-level variables and the probability of membership in various user classes. RESULTS: Tobacco use clustered in four classes: non-users, non-addicted cigarette users, non-addicted e-cigarette users, and addicted polytobacco users. Polytobacco users had an increased probability of depressive symptoms and cannabis use relative to non-users, and more binge alcohol use than all other groups. Non-addicted cigarette users had an increased probability of binge alcohol use, cannabis use, and being non-Hispanic White relative to non-users, and an increased likelihood of cannabis use relative to non-addicted e-cigarette users. Non-addicted e-cigarette users had an increased probability of binge alcohol use relative to non-users. CONCLUSIONS: SM young adults' tobacco use varies across the diverse product landscape. Failing to account for a range of tobacco behaviors and nicotine dependence prevents tailoring interventions that should also address concerns such as depressive symptoms, cannabis use, and binge alcohol use.
INTRODUCTION: Polytobacco use is a growing concern; users are exposed to cumulatively more nicotine, increasing their risk for dependence and long-term use. More sexual minority (SM) young adults report polytobacco use than their heterosexual peers, yet no studies explore how their tobacco patterns vary across the diverse product landscape. The purpose of this study was to characterize SM young adults' patterns of tobacco use and nicotine dependence, and explore co-occurring risk factors for polytobacco use. METHODS:Participants were 609 SM Texas college students. Latent class analysis identified subgroups of tobacco users based on their tobacco use behaviors and an indicator of nicotine dependence. Multinomial logistic regression identified associations between individual-level variables and the probability of membership in various user classes. RESULTS:Tobacco use clustered in four classes: non-users, non-addicted cigarette users, non-addicted e-cigarette users, and addicted polytobacco users. Polytobacco users had an increased probability of depressive symptoms and cannabis use relative to non-users, and more binge alcohol use than all other groups. Non-addicted cigarette users had an increased probability of binge alcohol use, cannabis use, and being non-Hispanic White relative to non-users, and an increased likelihood of cannabis use relative to non-addicted e-cigarette users. Non-addicted e-cigarette users had an increased probability of binge alcohol use relative to non-users. CONCLUSIONS: SM young adults' tobacco use varies across the diverse product landscape. Failing to account for a range of tobacco behaviors and nicotine dependence prevents tailoring interventions that should also address concerns such as depressive symptoms, cannabis use, and binge alcohol use.
Authors: Madalyn M Liautaud; Jessica L Barrington-Trimis; Feifei Liu; Andrew Stokes; Evan A Krueger; Rob McConnell; Raina D Pang Journal: Addict Behav Rep Date: 2021-01-16