Assessing depression in youth: relation between the Children's Depression Inventory and a structured interview

Area of Science:

• Child and Adolescent Psychiatry
• Psychological Assessment
• Clinical Psychology

Background:

• Depressive disorders are a significant concern in child and adolescent mental health.
• Accurate screening tools are crucial for early identification and intervention.
• The Children's Depression Inventory (CDI) is widely used, but its predictive validity requires ongoing examination.

Purpose of the Study:

• To evaluate the Children's Depression Inventory (CDI) as a predictor of depressive disorders.
• To determine the diagnostic accuracy of CDI cutoff scores using receiver-operating characteristics (ROC) analysis.
• To assess the CDI's ability to differentiate depressive disorders from anxiety and disruptive behavior disorders.

Main Methods:

• The study involved 80 referred children and adolescents (ages 8-18).
• Diagnostic interviews were conducted using the Structured Clinical Interview for DSM-IV Child Edition (KID-SCID).
• Receiver-operating characteristics (ROC) analysis and logistic regression were employed to analyze CDI data.

Main Results:

• The CDI demonstrated satisfactory receiver-operating characteristics (ROCs) at suggested cutoff scores of 13 and 19.
• A CDI cutoff score of 16 optimized the balance between sensitivity and specificity.
• The CDI total score was found to be a significant predictor of depressive disorders and could differentiate them from other conditions.

Conclusions:

• The Children's Depression Inventory (CDI) is a valuable screening tool for identifying depressive disorders in children and adolescents.
• The CDI's ability to differentiate depression from anxiety and disruptive behavior disorders supports its clinical utility.
• Findings support the use of the CDI for early detection of depression in pediatric populations.