Evidence map›Paper›PMID 41451390›Full record

ArticleSocial science insights and applications2025

Multilevel Correlates of Youth Delinquent Behaviors: An Exploratory Analysis of Socioeconomic Context, Psychological Traits, and Task-Based Neural Activation in the ABCD Study.

Shervin Assari, Alexandra Donovan

Abstract read
In one paragraph

Article in Social science insights and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shervin AssariCharles R Drew University of Medicine and Science, Los Angeles, California, USA.ORCID 0000-0002-5054-6250
Alexandra DonovanCharles R Drew University of Medicine and Science, Los Angeles, California, USA.ORCID 0009-0001-4655-2615

Funding

Sustaining Faculty Development & Community EngagementS21MD000103 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI CARLISLE, DAVID M · 2001 to 2015
$73.9M
ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$52.0M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
NIDA NIH HHS R25 DA050723NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIMHD NIH HHS S21 MD000103
6 · The paper itself

Abstract

Background: Delinquent behaviors during early adolescence reflect complex interactions between individual traits, family context, neighborhood conditions, and neurobiological responses to emotional stimuli. Despite extensive research on each domain, few studies have integrated psychological, socioeconomic, and neural data to examine correlations of delinquent behavior in a large, population-based cohort. Objective: This exploratory study examined demographic, psychological, socioeconomic, and neural correlates of parent-reported delinquent behaviors in pre-adolescents participating in the Adolescent Brain Cognitive Development (ABCD) Study.Methods:Data (n = 7,879) were drawn from ABCD participants with available demographic, psychological, socioeconomic, and task-based fMRI data during the n-back facial emotion task. Correlation analyses (Spearman's ρ) assessed associations between delinquent behavior and measures of impulsivity and behavioral control (UPPS, BIS/BAS), family socioeconomic indicators (parental education, household income, financial difficulty), neighborhood characteristics (area deprivation, local crime rates), and mean beta weights representing activation to emotional faces versus places. Results: Delinquent behavior was positively correlated with impulsivity-related traits including positive urgency (ρ = 0.13, p < 0.001), lack of perseverance (ρ = 0.10, p < 0.001), and BAS fun-seeking (ρ = 0.06, p = 0.02). Higher BIS punishment sensitivity (ρ = 0.10, p < 0.001) and BAS reward responsiveness (ρ = 0.09, p < 0.001) were also linked to greater delinquent behavior. Socioeconomic disadvantages lower parental education (ρ = -0.07, p < 0.001) and greater financial difficulty (ρ = 0.09, p < 0.001)-showed small but consistent associations with delinquency. Neural activation of across prefrontal and salience-related regions during emotional face processing were positively correlated with delinquent behavior (ρ ≈ 0.09-0.13, p < 0.001). Conclusions: Findings suggest that youth delinquent behaviors are linked to impulsivity, socioeconomic adversity, and greater neural reactivity to emotional cues. These multilevel associations underscore the value of integrating behavioral, contextual, and neuroimaging data to understand early externalizing tendencies. Future longitudinal analyses should examine whether these correlates predict escalation or resilience in later adolescence.

Indexed as

adolescencebehavioral activationdelinquencyfMRIimpulsivityn-back taskneighborhood contextsocioeconomic status

Identifiers

PMID41451390
PMCPMC12728722

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.