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Updated: Jul 24, 2025

Author Spotlight: Exploring Microglial Interactions with Stress-Response Circuitry Using the Limited Bedding and Nesting Model

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A data-driven approach to categorizing early life adversity exposure in the ABCD Study.

Natalia Orendain^1,2,3, Ariana Anderson^4,5, Adriana Galván^5,6

¹Center for Cognitive Neuroscience, University of California, Los Angeles, CA, USA. nat.oren@ucla.edu.

BMC Medical Research Methodology

|July 7, 2023

Summary

Early life adversity exposure, particularly parental psychopathology, is linked to problematic behaviors in youth. A data-driven approach is needed to better define and catalog these exposures for improved interventions.

Keywords:

ACEs CBCL Early life adversity exposure Factor analysis Problematic behaviors

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Area of Science:

Developmental Psychology
Child Psychiatry
Public Health

Background:

Early life adversity is linked to lifelong detrimental health and quality of life outcomes.
Over 30 tools exist to measure early life adversity, but definitions overlap and are distinct.
A data-driven approach is needed to define and catalog early life adversity exposure.

Purpose of the Study:

To catalog early life adversity exposure in youth using a data-driven approach.
To identify distinct domains of early life adversity exposure.
To examine the association between early life adversity and problematic behavioral outcomes.

Main Methods:

Utilized baseline data from 11,566 youth in the ABCD Study.
Employed exploratory factor analysis to identify early life adversity domains.
Conducted regression analyses to associate adversity exposure with behavioral outcomes.

Main Results:

Identified 6 domains of early life adversity: violence, parental psychopathology, neighborhood threat, prenatal substance exposure, scarcity, and household dysfunction.
Parental psychopathology was the most prevalent exposure.
Adversity exposure was associated with increased problematic behaviors, particularly internalizing behaviors.

Conclusions:

Recommend a data-driven approach to define and catalog early life adversity exposure.
Broad categorizations of adversity fail to capture co-occurrence and duality of exposures.
A data-driven definition is crucial for evidence-based interventions for youth.