Blurred lines: Investigating functional profiles in autism and ADHD across key developmental domains.
Autism and ADHD kids overlap so much on functional profiles that half of each clinical group lands in the same ‘social deficits plus behavior dysregulation’ cluster—check the child’s profile, not just the diagnosis.
01Research in Context
What this study did
Crisci et al. (2026) looked at kids with autism, kids with ADHD, and kids with neither. They measured skills across language, play, self-care, and behavior. A computer grouped the kids by how they actually functioned, not by their diagnosis.
What they found
Half of the autism group and half of the ADHD group landed in the same cluster. That cluster showed social struggles plus big behavior swings. The rest of each group scattered into other clusters. Diagnosis did not predict the profile.
How this fits with other research
Demopoulos et al. (2013) saw the same overlap a decade earlier. They used social-cognitive tests and still found the two groups look alike, just milder in ADHD.
Ohan et al. (2015) warned that kids with both labels have worse adaptive skills than ADHD-only kids. Giulia’s data now show the overlap starts earlier; single-diagnosis kids already share the same profile.
Uljarević et al. (2020) found five social subtypes inside autism alone. Giulia widened the lens and found the biggest subtype spans autism and ADHD together.
Why it matters
Stop treating the label. Treat the profile. If a child has social deficits plus behavior swings, pick interventions that build social skills and teach self-regulation, no matter the diagnosis. Use the same baseline tools for both groups and watch for progress in the shared target areas.
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02At a glance
03Original abstract
While Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) present distinct symptoms and developmental trajectories, they also share overlapping characteristics across different domains. This exploratory study investigated differences between ASD, ADHD and non-diagnosed (ND) peers across theory of mind, pragmatic language, inattention, impulsivity, social skills, and behavioral problems. A data-driven approach was further applied to explore whether distinct functional profiles emerged across these domains and whether such profiles aligned with traditional diagnostic categories. The sample included 204 participants aged 8-16: 51 with ASD, 64 with ADHD, and 89 ND, matched for age, sex, and intelligence quotient. Results highlight that both clinical groups performed worse than ND peers, with no differences between ASD and ADHD. Latent profile analysis identified four distinct profiles: 1 ("Inattentive with pragmatic difficulties"; n = 20), 2 ("Social deficits with behavioral dysregulation"; n = 63), 3 ("Highly impulsive"; n = 24), and 4 ("Minimal impairments"; n = 97). The first three were predominantly composed of autistic and ADHD participants, while the fourth was distinctive of ND. Notably, 50 % of both autistic and ADHD participants were grouped into Profile 2, characterized primarily by parental reports, alongside weaknesses performing tests. Our findings suggest that ASD and ADHD share difficulties across key developmental domains, with functional profiles extending beyond traditional diagnostic boundaries. Given the exploratory nature of the study and the relatively limited sample size, these findings should be considered preliminary and warrant replication in larger and more diverse samples. Despite this, our results support a dimensional view of neurodevelopmental conditions, while highlighting the need to integrate informant reports, psychometric data, and clinical judgment to ensure meaningful interpretations of a child's functional profile.
Research in developmental disabilities, 2026 · doi:10.1016/j.ridd.2026.105240