CBCL-10 shows good diagnostic efficiency for ADHD in a longitudinal cohort study
Photo by Ayanda Kunene / Unsplash
Key Takeaway
Note that the CBCL-10 demonstrates good diagnostic efficiency for ADHD with an AUC of 0.843 in this cohort.
This longitudinal cohort study, part of the Future of Families and Child Wellbeing Study (FFC0WS), examined 1,786 youth (49.5% female; 51.4% Black/African American). The study evaluated the measurement properties of the 10-item Child Behavior Checklist (CBCL-10) compared to the 34-item CBCL across three time points.
Regarding structural validity, the CBCL-10 demonstrated an excellent three-factor structure. For the primary diagnostic outcome, the CBCL-10 showed good diagnostic efficiency for ADHD with an AUC of 0.843 (95% CI [0.818–0.867]). Specific diagnostic metrics included a sensitivity of 0.797, a specificity of 0.736, and a cutoff score of 3.
Secondary outcomes assessed included measurement invariances and internal consistency, though specific numerical results for these metrics were not reported. No data regarding safety, adverse events, or discontinuations were provided in the study report.
Clinicians and researchers may find the CBCL-10 to be a feasible assessment tool that captures diagnostically relevant attention and behavioral manifestations of ADHD without sacrificing measurement quality. However, the findings are limited to the properties of the tool within this specific cohort.
View Original Abstract ↓
ObjectiveTo develop a brief behavioral screening tool for youth, we sought to reduce the Child Behavior Checklist (CBCL) by selecting the most informative items, establish its structural model, and evaluate comprehensive psychometric properties for potential attention deficit and hyperactivity disorder (ADHD) screening across diverse populations.MethodsLongitudinal data from the Future of Families and Child Wellbeing Study (FFCWS) were analyzed across three time points. Using a split-sample approach, we aimed to reduce the 34-item CBCL by integrating exploratory graph analysis (EGA) and graded response model (GRM). The final instrument would be evaluated for measurement properties.ResultsUsing a sample of 1,786 youth (49.5% female; 51.4% Black/African American), we systematically reduced the 34-item CBCL to a 10-item version (CBCL-10) with a three-factor structure. The CBCL-10 delineated excellent structural validity, supportive measurement invariances, and high internal consistency. The receiver operating characteristic analysis revealed good diagnostic efficiency for ADHD (area under the curve [AUC; 95% CI] = 0.843 [0.818–0.867]), with optimal sensitivity of 0.797 and specificity of 0.736 at a cutoff score of 3.ConclusionsThe present study successfully developed a psychometrically sound CBCL-10 with a diagnostic efficiency for measuring youth attention/behavioral problems. Without sacrificing measurement quality, CBCL-10 offers clinicians and researchers a feasible assessment tool that captures the most diagnostically relevant attention and behavioral manifestations of ADHD.
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