Clinical utility of the CBCL Dysregulation Profile in children with disruptive behavior

Madison Aitken1, Marco Battaglia1, Cecilia Marino1

  • 1Centre for Addiction and Mental Health, Toronto, Canada; University of Toronto, Department of Psychiatry, Toronto, Canada.

Insights

The Child Behavior Checklist Dysregulation Profile (CBCL-DP) may help identify severely dysregulated children, but parent-teacher agreement is low. This tool shows promise for identifying symptomatic children with disruptive behaviors, as rated by parents.

Area of Science:

  • Child psychology
  • Developmental psychopathology
  • Behavioral assessment

Background:

  • Severely dysregulated children face significant impairments and are at high risk for mood and anxiety disorders.
  • The Child Behavior Checklist Dysregulation Profile (CBCL-DP) offers a potential tool for identifying these children, enabling early intervention.

Purpose of the Study:

  • To examine the prevalence, gender differences, parent-teacher agreement, and concurrent validity of two definitions of the CBCL-DP.
  • To assess the utility of the CBCL-DP in identifying dysregulated children referred for disruptive behavior.

Main Methods:

  • The study analyzed data from 348 clinic-referred children aged 6-12 with disruptive behaviors.
  • Two categorical definitions of the CBCL-DP were applied to assess prevalence and characteristics.

Main Results:

  • CBCL-DP prevalence varied significantly based on definition stringency (46.8% vs. 15.2%).
  • Girls were more likely to meet criteria under the stringent definition; parent-teacher agreement was low, especially with the stringent definition.
  • Parents rated children with CBCL-DP as more impaired than others, irrespective of definition, while teacher ratings showed no significant difference.

Conclusions:

  • The CBCL-DP, particularly as rated by parents, appears to identify a group of children with disruptive behavior who are notably symptomatic and impaired.
  • Further research is needed to address limitations, including predictive validity and informant effects.
Abstract

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