Individual differences in effects of stressful life events on childhood ADHD: genetic, neural, and familial contributions.

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 contri...

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Publicado en:Journal of Child Psychology & Psychiatry Vol. 67; no. 5; pp. 788 - 801
Autores principales: Choi, Seung Yun, Lee, Jinwoo, Park, Junghoon, Lee, Eunji, Kim, Bo‐Gyeom, Kim, Gakyung, Joo, Yoonjung Yoonie, Cha, Jiook
Formato: Artículo
Publicado: Wiley-Blackwell May2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2026
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      pub: Wiley-Blackwell
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        10.1111/jcpp.70074
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      tig:
        atl: Individual differences in effects of stressful life events on childhood ADHD: genetic, neural, and familial contributions.
      aug:
        au:
          Choi, Seung Yun
          Lee, Jinwoo
          Park, Junghoon
          Lee, Eunji
          Kim, Bo‐Gyeom
          Kim, Gakyung
          Joo, Yoonjung Yoonie
          Cha, Jiook
        affil:
          Department of Brain and Cognitive Sciences, Seoul National University, Seoul, Korea
          Department of Psychology, Seoul National University, Seoul, Korea
          Department of Psychology, University of California San Diego, San Diego CA,, USA
          Interdisciplinary Program in Artificial Intelligence, College of Engineering, Seoul National University, Seoul, Korea
          Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea
          Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
      su:
        Risk factors of attention-deficit hyperactivity disorder
        Life change events
        Ecology
        Attention-deficit hyperactivity disorder
        Mental illness
        Smoking
        Sex distribution
        Internalizing behavior
        Psychological stress
        Externalizing behavior
        Genetics
        Children
        Cerebral cortex anatomy
        Random forest algorithms
        Data analysis
        Research funding
        Scientific observation
        Probability theory
        Brain
        Questionnaires
        Descriptive statistics
        Longitudinal method
        Genetic risk score
        Simulation methods in education
        Nervous system
        Statistics
        Neuroradiology
        Digital image processing
        Calibration
        Data analysis software
        Regression analysis
        Patient aftercare
        Disease complications
        Symptoms
      sug:
        subj:
          Risk factors of attention-deficit hyperactivity disorder
          Life change events
          Ecology
          Attention-deficit hyperactivity disorder
          Mental illness
          Smoking
          Sex distribution
          Internalizing behavior
          Psychological stress
          Externalizing behavior
          Genetics
          Children
          Home Health Care Services
          Cerebral cortex anatomy
          Random forest algorithms
          Data analysis
          Research funding
          Scientific observation
          Probability theory
          Brain
          Questionnaires
          Descriptive statistics
          Longitudinal method
          Genetic risk score
          Simulation methods in education
          Nervous system
          Statistics
          Neuroradiology
          Digital image processing
          Calibration
          Data analysis software
          Regression analysis
          Patient aftercare
          Disease complications
          Symptoms
      keyword:
        ADHD
        Early‐life stress
        gene‐brain‐environment
        individual differences
        vulnerability
        ADHD
        Early‐life stress
        gene‐brain‐environment
        individual differences
        vulnerability
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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