E-cigarette use among young adults: A latent class analysis examining co-use and correlates of nicotine vaping.

E-cigarette use among young adults: A latent class analysis examining co-use and correlates of nicotine vaping.
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DOI:
10.1016/j.addbeh.2020.106528
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发表时间:
2020-11
影响因子:
4.4
通讯作者:
Orozco M
Orozco M
中科院分区:
医学2区
文献类型:
--
作者:
Lanza HI;Motlagh G;Orozco M

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尽管很大一部分年轻人报告使用电子烟(尼古丁电子烟),但人们对电子烟与其他物质的共同使用知之甚少,包括预测共同使用的相关性。当前的研究旨在确定大学生样本中同时发生的物质使用模式并评估多重相关性。来自一所大型城市大学的 435 名参与者(21.4 ± 2.9 岁;57% 女性;41% 西班牙裔/拉丁裔/其他人,29% 亚裔美国人/太平洋岛民,17% 白种人/白人,6% 多种族,5% 非裔美国人/黑人)被面对面招募,并于 2018 年秋季和 2019 年春季完成了一项在线调查。使用潜在类别分析 (LCA),确定了四种物质使用模式: 酗酒者 (7%);电子烟用户(8%);大麻使用者(14%);和低物质使用者(71%)。电子烟用户类别的特点是中度或大量使用(过去 30 天内吸食尼古丁电子烟超过 5 天)以及过去 30 天内酗酒和吸食大麻。较高水平的异常同伴关系 (aOR = 1.28[1.11–1.47], p < .01)、冲动性-缺乏预谋 (aOR = 1.36[1.05–1.78], p < .05) 和较低水平的社交焦虑 (aOR = 0.94[0.88–0.99], p < .05)、预测成员资格在电子烟用户类中。在电子烟用户群体中观察到最普遍的同时发生物质使用。报告中度或更高水平尼古丁吸电子烟的年轻人往往会酗酒和吸食大麻,这最终可能会增加有害健康结果的风险。异常的同伴关系和冲动——缺乏预谋(但不是内化症状)预示着电子烟用户群体的成员资格;因此,公共卫生工作可能会受益于针对年轻人提供电子烟预防和干预服务的选择性的增加。
Although a significant proportion of young adults report e-cigarette use (nicotine vaping), little is known about co-use with other substances, including correlates that predict co-use. The current study aimed to identify co-occurring substance use patterns and evaluate multiple correlates in a college student sample. 435 participants (21.4 ± 2.9 years; 57% women; 41% Hispanic/Latina/o, 29% Asian-American/Pacific Islander, 17% Caucasian/White, 6% Multiracial, and 5% African-American/Black) from a large, urban university were recruited in-person and completed an online survey in the fall of 2018 and the spring of 2019. Using latent class analysis (LCA), four substance use patterns were identified: Binge Drinkers (7%); e-cigarette Users (8%); Cannabis Users (14%); and Low Substance Users (71%). The e-cigarette Users class was characterized by moderate or greater use (> 5 days of nicotine vaping in past 30-days) as well as past 30-day binge drinking and cannabis use. Higher levels of deviant peer affiliation (aOR = 1.28[1.11–1.47], p < .01), impulsivity-lack of premeditation (aOR = 1.36[1.05–1.78], p < .05), and lower levels of social anxiety (aOR = 0.94[0.88–0.99], p < .05), predicted membership in the e-cigarette Users class. The most pervasive co-occurring substance use was observed among the e-cigarette Users class. Young adults reporting moderate or greater levels of nicotine vaping tended to engage in binge drinking and cannabis use, which may ultimately increase risk of deleterious health outcomes. Deviant peer affiliation and impulsivity-lack of premeditation (but not internalizing symptoms) predicted membership in the e-cigarette Users class; consequently, public health efforts may benefit from increased selectivity in targeting young adults for e-cigarette prevention and intervention services.
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