Functional Correlates of Pediatric ADHD Comorbidity Profiles in a National Sample

OBJECTIVE: To examine associations between comorbidity profiles and academic/social correlates in children with ADHD, and to describe whether these associations vary across sex and developmental stage. METHOD: = 6,029 youth ages 6-17 with current, provider-diagnosed ADHD; 63.2% male; 58.2% Non-Hispanic White, 13.2% Non-Hispanic Black, 18.4% Hispanic, 1.9% Asian, 8.2% Other/Multiracial), we categorized participants into five mutually exclusive comorbidity profiles: ADHD-Only (23.5%), ADHD+Internalizing (12.6%), ADHD+Externalizing (9.3%), ADHD+Neurodevelopmental (13.7%), and ADHD+Complex (40.8%). Weighted logistic regression models, adjusted for demographics and ADHD severity, examined associations with grade repetition, school disciplinary contact, academic performance, bullying victimization and perpetration, friendship difficulties, and sports participation. RESULTS: Comorbidity profiles demonstrated differential patterns of parent-reported functioning that persisted after adjustment for ADHD severity. ADHD+Externalizing was associated with bullying perpetration and disciplinary contact but not victimization. ADHD+Internalizing was associated with bullying victimization but not perpetration. ADHD+Neurodevelopmental showed highest grade repetition and lowest sports participation. The ADHD+Complex profile, comprising 40.8% of the sample, exhibited impairment across all correlates, including friendship difficulties, even after severity adjustment. Profile associations remained robust within ADHD severity strata, consistent with the interpretation that comorbidity constellations are associated with functional correlates beyond parent-rated ADHD severity. CONCLUSIONS: These findings suggest that comorbidity profiles, beyond symptom severity alone, are associated with differential patterns of functioning in pediatric ADHD. The ADHD+Complex profile emerges as a potentially high-risk group warranting further study. Future research should examine whether profile-based assessment holds promise for improving clinical risk stratification and guiding transdiagnostic intervention development.