• Ritesh Mistry, Irina Bondarenko, Jihyoun Jeon, Andrew F Brouwer, Delvon T Mattingly, Jana L Hirschtick, Evelyn Jimenez-Mendoza, David T Levy, Stephanie R Land, Michael R Elliott, TaylorJeremy M GJMGUniversity of Michigan, Department of Biostatistics, Ann Arbor, MI, United States of America., Rafael Meza, and Nancy L Fleischer.
• University of Michigan, Department of Health Behavior and Health Education, Ann Arbor, MI, United States of America. Electronic address: riteshm@umich.edu.
• Prev Med. 2021 Dec 1; 153: 106762106762.

AbstractA persistent challenge is characterizing patterns of tobacco use in terms of product combinations and frequency. Using Wave 4 (2016-17) Population Assessment of Tobacco and Health Study adult data, we conducted latent class analyses (LCA) of past 30-day frequency of use for 9 tobacco products. One-step LCA with joint multinomial logistic regression models compared sociodemographic factors between users (n = 13,716) and non-users (n = 17,457), and between latent classes of users. We accounted for survey design and weights. Our analyses identified 6 classes: in addition to non-users (C0: 75.7%), we found 5 distinct latent classes of users: daily exclusive cigarette users (C1: 15.5%); occasional cigarette and polytobacco users (C2: 3.8%); frequent e-product and occasional cigarette users (C3: 2.2%); daily smokeless tobacco (SLT) and infrequent cigarette users (C4: 2.0%); and occasional cigar users (C5: 0.8%). Compared to C1: C2 and C3 had higher odds of being male (versus female), younger (especially 18-24 versus 55 years), and having higher education; C2 had higher, while C3 and C4 had lower, odds of being a racial/ethnic minority (versus Non-Hispanic White); C4 and C5 had much higher odds of being male (versus female) and heterosexual (versus sexual minority) and having higher income; and C5 had higher odds of college or more education. We identified three classes of daily or frequent users of a primary product (cigarettes, SLT or e-products) and two classes of occasional users (cigarettes, cigars and polytobacco). Sociodemographic differences in class membership may influence tobacco-related health disparities associated with specific patterns of use.Copyright © 2021 Elsevier Inc. All rights reserved.

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