Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | https://acamh.onlinelibrary.wiley.com/doi/10.1111/jcpp.70074 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Individual differences in effects of stressful life events on childhood ADHD : genetic, neural, and familial contributions Seung Yun Choi Jinwoo Lee Junghoon Park Eunji Lee Bo‐Gyeom Kim Gakyung Kim Yoonjung Yoonie Joo Jiook Cha Journal of Child Psychology and Psychiatry 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. 10.1111/jcpp.70074 http://creativecommons.org/licenses/by/4.0/