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Individual differences in effects of stressful life events on childhood ADHD

Genetic, neural, and familial contributions

Bibliographic Data

ID21344191
AuthorsSeung Yun Choi (0000-0002-9199-8691, Department of Brain and Cognitive Sciences Seoul National University Seoul Korea), Jinwoo Lee (0000-0002-4148-4115, Department of Psychology Seoul National University Seoul Korea), Junghoon Park (0000-0002-7339-5299, Interdisciplinary Program in Artificial Intelligence, College of Engineering Seoul National University Seoul Korea), Eunji Lee (0000-0001-8369-7736, Department of Psychology Seoul National University Seoul Korea), Eun-Ji Lee (Seoul National University), Bo‐Gyeom Kim (0000-0003-2685-877X, Department of Psychology Seoul National University Seoul Korea), Gakyung Kim (0000-0002-3729-081X, Department of Brain and Cognitive Sciences Seoul National University Seoul Korea), Yoonjung Yoonie Joo (0000-0001-9506-8742, Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology Sungkyunkwan University Seoul Korea), Jiook Cha (0000-0002-5314-7992, Department of Brain and Cognitive Sciences Seoul National University Seoul Korea, corresponding author)
Year2026
Volume67
Issue5
Pages788-800
Publication date2026-05-01
Open AccessYes
TypeARTICLE
VenueJournal of Child Psychology and Psychiatry (JOURNAL)
Journal identifiersISSN: 0021-9630 • E-ISSN: 1469-7610
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jcpp.70074
PMID41204847
OpenAlexW4416031714
LanguageEN
References cited63

BACKGROUND: This study elucidates the intricate relationship between stressful life events and the development of ADHD symptoms in children, acknowledging the considerable variability in individual responses. By examining these differences, we aim to uncover the unique combinations of factors contributing to varying levels of vulnerability and resilience among children. METHODS: Utilizing longitudinal data from the Adolescent Brain Cognitive Development study (baseline: N = 6,303, age = 9.9), we applied Generalized Random Forest (GRF) to model the nonlinear relationships among genetic predispositions, brain features, and environmental factors. RESULTS: Significant individual variability was observed in children's ADHD symptoms post-stress, particularly at the 1-year and 2-year follow-ups. At the 1-year follow-up, increased vulnerability was indicated by heightened parental mental health problems and a lower polygenic risk score for smoking. By the 2-year follow-up, escalated parental mental health disorders, higher ADHD polygenic risk scores (PRS), and altered structural connectivity in the cognitive control network were significant contributors to individual differences. CONCLUSIONS: These findings underscore the importance of integrating environmental, genetic, and neural variables to identify children vulnerable or resilient to developing ADHD symptoms following early-life stress. This study demonstrates how multimodal data combined with nonparametric machine learning can advance precision psychology and psychiatry, aiding targeted support for affected children

MEDLINE · Nonparametric statistics · Psychometrics · Social environment · Typically developing · Attention Deficit Hyperactivity Disorder · Autism Spectrum Disorder Research · Neural and Behavioral Psychology Studies

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