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
{"title":"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。","authors":"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","doi":"10.1111/ajad.13569","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background and Objectives</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We analyzed five waves of longitudinal data (2018–2020) among 3006 US young adults (M<sub>age</sub> = 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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Discussion and Conclusions</h3>\n \n <p>Young adult substance use interventions should target high-risk subgroups and focus on distinct factors impacting use, including chronic, escalating, and decreasing use.</p>\n </section>\n \n <section>\n \n <h3> Scientific Significance</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":7762,"journal":{"name":"American Journal on Addictions","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-part models identifying predictors of cigarette, e-cigarette, and cannabis use and change in use over time among young adults in the US\",\"authors\":\"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\",\"doi\":\"10.1111/ajad.13569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Objectives</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We analyzed five waves of longitudinal data (2018–2020) among 3006 US young adults (M<sub>age</sub> = 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Discussion and Conclusions</h3>\\n \\n <p>Young adult substance use interventions should target high-risk subgroups and focus on distinct factors impacting use, including chronic, escalating, and decreasing use.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Scientific Significance</h3>\\n \\n <p>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.</p>\\n </section>\\n </div>\",\"PeriodicalId\":7762,\"journal\":{\"name\":\"American Journal on Addictions\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal on Addictions\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ajad.13569\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SUBSTANCE ABUSE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal on Addictions","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ajad.13569","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SUBSTANCE ABUSE","Score":null,"Total":0}
Two-part models identifying predictors of cigarette, e-cigarette, and cannabis use and change in use over time among young adults in the US
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 (Mage = 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.
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.
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