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Heterogeneity in Developmental Trajectories of Internalizing and Externalizing Symptomatology: Associations with Risk
1Department of Psychological Science, University of Vermont, Burlington, VT, 05402, USA. alexis.brieant@uvm.edu.
Child Psychiatry and Human Development
|January 9, 2025
Summary
This study tracked youth psychopathology over three years, identifying distinct internalizing and externalizing trajectories. Key factors like negative life events and parental acceptance influenced these developmental patterns.
Area of Science:
- Child and Adolescent Psychiatry
- Developmental Psychology
- Neuroscience
Background:
- Childhood psychopathology presents diverse developmental trajectories.
- Understanding risk and protective factors is crucial for early intervention.
- Longitudinal studies are essential to map developmental pathways.
Purpose of the Study:
- To model psychopathology trajectories in youth over three years.
- To identify distinct developmental patterns of internalizing and externalizing symptoms.
- To examine the co-development of internalizing and externalizing symptoms and associated factors.
Main Methods:
- Utilized data from the Adolescent Brain Cognitive Development (ABCD) Study (n=11,661).
- Employed growth mixture modeling to identify psychopathology trajectory classes.
- Applied parallel process growth analysis to examine co-developmental trajectories.
Main Results:
- Identified four distinct internalizing trajectories (high-decreasing, moderate-decreasing, moderate-increasing, low-stable).
- Identified four distinct externalizing trajectories (moderate-decreasing, high-decreasing, moderate-increasing, low-decreasing).
- Characterized five co-developmental trajectory classes associated with negative life events, neighborhood safety, and parental acceptance.
Conclusions:
- Youth psychopathology exhibits diverse, classifiable developmental patterns.
- Internalizing and externalizing symptoms show distinct co-developmental trajectories.
- Life events, neighborhood context, and parental relationships significantly predict these trajectories.
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