Two-part models identifying predictors of cigarette, e-cigarette, and cannabis use and change in use over time among young adults in the US

IF 2.5 4区医学 Q2 SUBSTANCE ABUSE

American Journal on Addictions Pub Date : 2024-04-29 DOI:10.1111/ajad.13569

Yan Wang DrPH, Katelyn F. Romm PhD, Mark C. Edberg PhD, MA, Jeffrey B. Bingenheimer PhD, Cassidy R. LoParco PhD, Yuxian Cui MA, MSPH, Carla J. Berg PhD, MBA

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引用次数: 0

Abstract

Background and Objectives

Limited longitudinal research has examined differential interpersonal and intrapersonal correlates of young adult use and use frequency of cigarettes, e-cigarettes, and cannabis. This study aimed to address these limitations.

Methods

We analyzed five waves of longitudinal data (2018–2020) among 3006 US young adults (M_age = 24.55, 44% male, 32% sexual minority, ~30% racial/ethnic minority). Two-part latent growth models examined likelihood of past-month cigarette, e-cigarette, and cannabis use (binary part) and days used (continuous part) and identified predictors (depressive symptoms, personality traits, adverse childhood experiences [ACEs], parental use) of baseline use and changes over time.

Results

Regarding baseline past-month use (27% cigarettes, 38% e-cigarettes, 39% cannabis), depressive symptoms, ACEs, and parental substance use predicted use outcomes (i.e., likelihood, frequency) for each product; extraversion predicted cigarette and e-cigarette use outcomes; openness predicted e-cigarette and cannabis use outcomes; conscientiousness negatively predicted cigarette and cannabis use outcomes; and agreeableness negatively predicted cannabis use frequency. Regarding longitudinal changes, conscientiousness predicted accelerated increase of cigarette use frequency at later timepoints; depressive symptoms predicted increases in likelihood of e-cigarette use but the association weakened over time; and parental cannabis use predicted decreased cannabis use frequency but the association weakened over time.

Discussion and Conclusions

Young adult substance use interventions should target high-risk subgroups and focus on distinct factors impacting use, including chronic, escalating, and decreasing use.

Scientific Significance

This study advances the literature regarding distinct predictors of different substance use outcomes and provides unique data to inform interventions targeting young adult cigarette, e-cigarette, and cannabis use.

查看原文本刊更多论文

由两部分组成的模型，确定了美国年轻成年人使用香烟、电子烟和大麻的预测因素以及使用情况随时间的变化。

背景和目的：纵向研究对青少年使用香烟、电子烟和大麻以及使用频率的不同人际和人内相关因素的研究有限。本研究旨在解决这些局限性：我们分析了 3006 名美国年轻成年人（年龄 = 24.55 岁，44% 为男性，32% 为性少数群体，~30% 为种族/族裔少数群体）的五波纵向数据（2018-2020 年）。两部分潜增长模型考察了上个月使用香烟、电子烟和大麻的可能性（二元部分）和使用天数（连续部分），并确定了基线使用和随时间变化的预测因素（抑郁症状、人格特质、不良童年经历 [ACE]、父母使用情况）：关于上个月的基线使用情况（27%为香烟，38%为电子烟，39%为大麻），抑郁症状、ACE和父母使用药物情况预测了每种产品的使用结果（即可能性和频率）；外向性预测了香烟和电子烟的使用结果；开放性预测了电子烟和大麻的使用结果；自觉性对香烟和大麻的使用结果有负面预测作用；合群性对大麻的使用频率有负面预测作用。在纵向变化方面，自觉性预示着香烟使用频率在后期时间点会加速增加；抑郁症状预示着电子烟使用可能性的增加，但随着时间的推移相关性减弱；父母使用大麻预示着大麻使用频率的降低，但随着时间的推移相关性减弱：青少年药物使用干预应针对高风险亚群，并关注影响使用的不同因素，包括长期使用、升级使用和减少使用：这项研究推动了有关不同药物使用结果的不同预测因素的文献的发展，并为针对青少年卷烟、电子烟和大麻使用的干预措施提供了独特的数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

American Journal on Addictions SUBSTANCE ABUSE-

CiteScore

5.00

自引率

0.00%

发文量

118

期刊介绍： The American Journal on Addictions is the official journal of the American Academy of Addiction Psychiatry. The Academy encourages research on the etiology, prevention, identification, and treatment of substance abuse; thus, the journal provides a forum for the dissemination of information in the extensive field of addiction. Each issue of this publication covers a wide variety of topics ranging from codependence to genetics, epidemiology to dual diagnostics, etiology to neuroscience, and much more. Features of the journal, all written by experts in the field, include special overview articles, clinical or basic research papers, clinical updates, and book reviews within the area of addictions.