Mistry Ritesh, Bondarenko Irina, Jeon Jihyoun, Brouwer Andrew F, Mattingly Delvon T, Hirschtick Jana L, Jimenez-Mendoza Evelyn, Levy David T, Land Stephanie R, Elliott Michael R, Taylor Jeremy M G, Meza Rafael, Fleischer Nancy L
University of Michigan, Department of Health Behavior and Health Education, Ann Arbor, MI, United States of America.
University of Michigan, Department of Biostatistics, Ann Arbor, MI, United States of America.
Prev Med. 2021 Dec;153:106762. doi: 10.1016/j.ypmed.2021.106762. Epub 2021 Aug 4.
A 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.
一个长期存在的挑战是根据产品组合和使用频率来描述烟草使用模式。利用第四波（2016 - 2017年）烟草与健康人口评估研究的成人数据，我们对9种烟草产品过去30天的使用频率进行了潜在类别分析（LCA）。采用联合多项逻辑回归模型的一步法LCA比较了使用者（n = 13716）和非使用者（n = 17457）之间以及使用者潜在类别之间的社会人口学因素。我们考虑了调查设计和权重。我们的分析确定了6个类别：除了非使用者（C0：75.7%），我们还发现了5个不同的使用者潜在类别：每日专用卷烟使用者（C1：15.5%）；偶尔使用卷烟和多种烟草使用者（C2：3.8%）；频繁使用电子烟产品和偶尔使用卷烟使用者（C3：2.2%）；每日使用无烟烟草（SLT）和不常使用卷烟使用者（C4：2.0%）；以及偶尔使用雪茄使用者（C5：0.8%）。与C1相比：C2和C3为男性（相对于女性）、更年轻（尤其是18 - 24岁相对于55岁）以及受教育程度更高的几率更高；C2成为少数种族/族裔（相对于非西班牙裔白人）的几率更高，而C3和C4的几率更低；C4和C5为男性（相对于女性）和异性恋（相对于性少数群体）以及收入更高的几率要高得多；并且C5接受大学或更高教育的几率更高。我们确定了三类主要产品（卷烟、SLT或电子烟产品）的每日或频繁使用者以及两类偶尔使用者（卷烟、雪茄和多种烟草）。类别成员的社会人口学差异可能会影响与特定使用模式相关的烟草相关健康差异。
