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Polysubstance Use Trajectories and Social-Ecological Predictors in a Multi-Ethnic Sample of Adolescents.

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Title: Polysubstance Use Trajectories and Social-Ecological Predictors in a Multi-Ethnic Sample of Adolescents.
Authors: Lee, Seo Woo (AUTHOR), Lee, Tae Kyoung (AUTHOR), Meca, Alan (AUTHOR), Unger, Jennifer B. (AUTHOR), Tubman, Jonathan G. (AUTHOR), Cobb, Cory L. (AUTHOR), Montero-Zamora, Pablo (AUTHOR), Vo, Duyen H. (AUTHOR), Watkins, Lawrence G. (AUTHOR), Alpysbekova, Aigerim (AUTHOR), Lopez-Soto, Andrea (AUTHOR), Duque, Maria (AUTHOR), Bochkina, Elena (AUTHOR), Ertanir, Beyhan (AUTHOR), Sahbaz, Sumeyra (AUTHOR), Schwartz, Seth J. (AUTHOR)
Source: Substance Use & Misuse. 2026, Vol. 61 Issue 3, p451-461. 11p.
Subjects: Substance abuse risk factors, Alcoholism risk factors, Risk assessment, Cocaine, Secondary analysis, African Americans, Research funding, Social factors, Smoking, Questionnaires, Hispanic Americans, Parenting, White people, Descriptive statistics, Chi-squared test, Race, Family structure, Cannabis (Genus), Data analysis software, Drugs of abuse, Adolescence
Geographic Terms: Florida
Abstract: Background: Substance use—including the use and co-use of alcohol, cigarettes, and illicit drugs—often emerges in adolescence. However, the longitudinal structure of polysubstance use and its social-ecological predictors are less understood. We examined (a) higher-order trajectories of polysubstance use (encompassing alcohol, cigarette, and illicit drug use) and (b) their associations with individual- and family-level factors. Methods: Participants were 568 eighth- and tenth graders (M age = 14.46; 50.5% girls) from Miami-Dade County, FL, and Prince George's County, MD, in a six-wave longitudinal study on alcohol use. Adolescents reported age, sex, race/ethnicity, attention problems, positive parenting, and family structure. Latent growth curve modeling was used. Results: Racial/ethnic composition was 40.8% Hispanic, 35.0% non-Hispanic Black, 6.9% non-Hispanic White, 10.6% others, and 6.7% multiracial. Results indicated the presence of higher-order polysubstance trajectories comprising individual alcohol, cigarette, and illicit drug use, which increased linearly over time. Polysubstance use trajectories were predicted by both individual- and family-level factors. For instance, Black, Hispanic, other, and multiracial adolescents evidenced less steep increases in polysubstance use than White adolescents (average β s = -0.25) and positive parenting predicted lower baseline polysubstance use (β = -0.11, p < 0.05). We also found unique associations with individual substance use trajectories; for example, single-parent households predicted steeper cigarette-use slope (β = 0.08, p < 0.05), and attention problems predicted higher baseline alcohol-use (β = 0.10, p < 0.05). Age was associated with most trajectories, whereas sex was not associated with any. Conclusion: Findings highlight the need to integrate both overarching and substance-specific risk factors into treatment, prevention, and policy efforts to address adolescent substance use. [ABSTRACT FROM AUTHOR]
Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Polysubstance Use Trajectories and Social-Ecological Predictors in a Multi-Ethnic Sample of Adolescents.
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  Data: Background: Substance use—including the use and co-use of alcohol, cigarettes, and illicit drugs—often emerges in adolescence. However, the longitudinal structure of polysubstance use and its social-ecological predictors are less understood. We examined (a) higher-order trajectories of polysubstance use (encompassing alcohol, cigarette, and illicit drug use) and (b) their associations with individual- and family-level factors. Methods: Participants were 568 eighth- and tenth graders (M age = 14.46; 50.5% girls) from Miami-Dade County, FL, and Prince George&#39;s County, MD, in a six-wave longitudinal study on alcohol use. Adolescents reported age, sex, race/ethnicity, attention problems, positive parenting, and family structure. Latent growth curve modeling was used. Results: Racial/ethnic composition was 40.8% Hispanic, 35.0% non-Hispanic Black, 6.9% non-Hispanic White, 10.6% others, and 6.7% multiracial. Results indicated the presence of higher-order polysubstance trajectories comprising individual alcohol, cigarette, and illicit drug use, which increased linearly over time. Polysubstance use trajectories were predicted by both individual- and family-level factors. For instance, Black, Hispanic, other, and multiracial adolescents evidenced less steep increases in polysubstance use than White adolescents (average β s = -0.25) and positive parenting predicted lower baseline polysubstance use (β = -0.11, p &lt; 0.05). We also found unique associations with individual substance use trajectories; for example, single-parent households predicted steeper cigarette-use slope (β = 0.08, p &lt; 0.05), and attention problems predicted higher baseline alcohol-use (β = 0.10, p &lt; 0.05). Age was associated with most trajectories, whereas sex was not associated with any. Conclusion: Findings highlight the need to integrate both overarching and substance-specific risk factors into treatment, prevention, and policy efforts to address adolescent substance use. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Substance Use &amp; Misuse is the property of Taylor &amp; Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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