Watson Ryan J, Lawrence Samantha E, McCauley Peter S, Wheldon Christopher W, Fish Jessica N, Eaton Lisa A
University of Connecticut, Storrs, CT, USA.
University of Connecticut, Storrs, CT, USA.
Addict Behav. 2025 Apr;163:108246. doi: 10.1016/j.addbeh.2025.108246. Epub 2025 Jan 10.
To expand the literature documenting that tobacco use inequities persist and continue to increase for minoritized youth populations by exploring patterns of tobacco use across multiple intersections of sexual, gender, racial, and ethnic identities. Studies with this focus are needed to understand the degree to which tobacco use varies across groups who hold multiple minoritized identities.
The current study used a novel analytical approach- Exhaustive Chi-square Automatic Interaction Detection - to examine lifetime cigarette use among a U.S.-based sample of sexual and gender diverse youth collected in 2022. Exhaustive Chi-square Automatic Interaction Detection is a data-driven, decision-tree approach that uses successive Chi-square tests to iteratively cycle through all interactions among categorical independent variables, splitting where categories differ significantly with respect to the dependent variable. Participants identified as sexual and/or gender diverse youth, resided in the U.S., and were between 13-18 years of age (N = 9,504).
Several important patterns emerged: The groups with the highest prevalence of cigarette experimentation included transgender boys, cisgender boys, and non-binary youth. These adolescents were likely to also hold minoritized racial and ethnic identities, and identify with plurisexual identities. Some age-related differences in patterns emerged; across grades, transgender boys and Multiracial sexually and gender diverse youth were a part of high prevalence cigarette experimentation groups.
The results highlight the complex patterns of cigarette use differences in heterogenous sexual and gender diverse populations, particularly across gender, sexual, and ethnoracial identities.
通过探索在性取向、性别、种族和族裔身份等多个交叉点上的烟草使用模式,扩充关于烟草使用不平等现象持续存在且在少数族裔青年群体中不断加剧的文献记录。需要开展聚焦于此的研究,以了解在具有多种少数族裔身份的群体中,烟草使用的差异程度。
本研究采用了一种新颖的分析方法——穷举卡方自动交互检测,来考察2022年在美国采集的性取向和性别多元青年样本中的终生吸烟情况。穷举卡方自动交互检测是一种数据驱动的决策树方法,它使用连续的卡方检验,在分类自变量之间的所有交互中进行迭代循环,在类别在因变量方面存在显著差异的地方进行划分。参与者被认定为性取向和/或性别多元青年,居住在美国,年龄在13至18岁之间(N = 9504)。
出现了几个重要模式:吸烟尝试率最高的群体包括跨性别男孩、顺性别男孩和非二元性别青年。这些青少年也可能具有少数族裔的种族和族裔身份,并认同多元性取向身份。出现了一些与年龄相关的模式差异;在各个年级中,跨性别男孩和多种族性取向和性别多元青年属于吸烟尝试率高的群体。
研究结果凸显了在异质性性取向和性别多元人群中,尤其是在性别、性取向和种族身份方面,吸烟使用差异的复杂模式。