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Related Concept Videos

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A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
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Measurement-Based Care Benchmarks and Bipolar Classification in ABCD Youth.

Eric A Youngstrom1,2, Amanda J Thompson1, Yinuo Liu1

  • 1Nationwide Children's Hospital.

Medrxiv : the Preprint Server for Health Sciences
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

Two brief mania measures, the Parent General Behavior Inventory-10 Mania form (PGBI-10M) and 7-Up, retain psychometric properties in youth. The PGBI-10M can identify bipolar disorder, but is insufficient for universal screening.

Keywords:
Bipolar disorderchildren and adolescentsclassification accuracypsychometricssensitivity and specificity

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Event Related Potentials (ERPs) and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder (ADHD)

Published on: March 12, 2020

Area of Science:

  • Psychiatry
  • Developmental Psychology
  • Psychometrics

Background:

  • Accurate assessment of manic and bipolar symptoms in youth is crucial for timely intervention.
  • Brief screening tools are needed to evaluate mania symptoms in large pediatric populations.
  • The Parent General Behavior Inventory-10 Mania form (PGBI-10M) and 7-Up are brief measures of mania symptoms.

Purpose of the Study:

  • To evaluate the psychometric properties of the PGBI-10M and 7-Up in a large adolescent cohort.
  • To determine if the PGBI-10M can identify Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS)-defined bipolar spectrum disorders.
  • To establish measurement-based care benchmarks for these brief mania measures.

Main Methods:

  • Analysis of over 11,000 youths from the Adolescent Brain Cognitive Development (ABCD) Study.
  • Estimation of internal consistency, factor models, and measurement-based care benchmarks for PGBI-10M and 7-Up.
  • Receiver operating characteristic (ROC) analyses to assess the PGBI-10M's classification accuracy for bipolar diagnoses.

Main Results:

  • Both PGBI-10M (alpha=.87-.88) and 7-Up (alpha=.78) demonstrated sound psychometric properties in the ABCD cohort.
  • The PGBI-10M showed moderate accuracy in discriminating bipolar cases (AUC=0.68 baseline; 0.77 follow-up), but with low positive predictive values.
  • Longitudinal analyses revealed minor threshold differences, likely due to caregiver recalibration and developmental changes.

Conclusions:

  • The PGBI-10M and 7-Up are suitable for monitoring manic and mixed symptoms in youth.
  • The PGBI-10M alone is not sufficient for universal bipolar disorder screening in this population.
  • Brief mania scales are most effective for targeted assessment and longitudinal monitoring within comprehensive evaluations.