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...
| Publicado en: | Journal of Child Psychology & Psychiatry Vol. 67; no. 5; pp. 788 - 801 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Wiley-Blackwell
May2026
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=193163845&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 193163845 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00219630 JYY jtl: Journal of Child Psychology & Psychiatry issn: 00219630 maglogo: Y pubinfo: dt: May2026 vid: 67 iid: 5 pid: 480 pub: Wiley-Blackwell artinfo: ui: 193163845 10.1111/jcpp.70074 ppf: 788 ppct: 13 formats: 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 refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|