ORIGINAL RESEARCH article
Front. Child Adolesc. Psychiatry
Sec. Interventions for Adolescent Mental Health
Volume 4 - 2025 | doi: 10.3389/frcha.2025.1631474
This article is part of the Research TopicImproving Impacts of Mental Health Treatment on Substance Misuse and Vice VersaView all 5 articles
Environmentally derived subgroups of preadolescents with family history of substance use exhibit distinct patterns of psychopathology and reward-related behaviors: insights from the ABCD study
Provisionally accepted- 1Department of Health Informatics, Rutgers - School of Health Professions, Piscataway, New Jersey, United States
- 2Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States
- 3University of British Columbia, Vancouver, British Columbia, Canada
- 4Langone Medical Center, New York University, New York City, New York, United States
- 5Johns Hopkins Medicine, Johns Hopkins University, Baltimore, Maryland, United States
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Background: Family history of substance use (FHSU), along with sociodemographic and psychosocial factors, has been identified as a key risk factor for adolescent substance use and progression to substance use disorders (SUD). However, the interaction between distinct sociodemographic and psychosocial profiles in adolescents with FHSU and constitutional factors, such as psychopathological symptom severity, impulsivity, and reward processing, remains unclear. Given the complexity of these factors, it is crucial to explore how these elements contribute to the differential vulnerability to SUD among youth with family history of substance use. Particularly as, the identification of clinically relevant subgroups of at-risk youth may inform precision prevention and treatment approaches to reduce adverse outcomes related to SUDs. Methods: Here, we used data from the Adolescent Brain Cognitive Development (ABCD) study and grouped the participants (age: 9 – 10 years) into positive and negative FHSU [i.e., FHSU-P (n=1955; female 49.7%, White 57.95%), and FHSU-N (n=4369; female 48.33%, White 61.16%), respectively]. We used K-means clustering to identify latent subgroups in the FHSU-P population based on psychosocial variables and then compared the resulting subgroups on internalizing, externalizing, and total psychopathology, impulsivity, and reward prediction errors. Results: K-means clustering revealed five subgroups within FHSU-P: Subgroups 1 (n=744) and 2 (n=300) exhibited favorable psychosocial profiles, marked by higher school involvement, social engagement, and parental acceptance. Subgroups 3 (n=267), 4 (n=201), and 5 (n=443) were characterized by lower engagement across peer, school, and parental domains. Group comparisons showed that Subgroups 1 and 2 had comparable levels of psychopathology and impulsivity, while Subgroups 3, 4, and 5 displayed higher psychopathology and impulsivity. Reward prediction errors were similar across all subgroups. Other group differences are also presented and discussed in the main text. Conclusion: These findings highlight significant heterogeneity within the FHSU-P group and emphasize the importance of stratifying adolescents based on sociodemographic and psychosocial factors. Such stratification can help identify adolescents at higher risk for psychopathologies, including SUDs, offering insights for targeted prevention and intervention strategies.
Keywords: Family history of addiction, environmental factors, impulsivity, K-means (KM) clustering, ABCD study
Received: 19 May 2025; Accepted: 13 Oct 2025.
Copyright: © 2025 Anantha Ramakrishnan, Shaik, Peri, Adams, Haas, Frangou, Srinivasan, El-Shahawy, Hammond, Ivanov and Parvaz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Muhammad A Parvaz, muhammad.parvaz@mssm.edu
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