Cluster analysis of teachers report for identifying symptoms of autism spectrum and/or attention deficit hyperactivity in school population: EPINED study.
Teacher ratings on four key domains cluster-identify kids with combined ASD+ADHD and those with subthreshold symptoms for early referral.
01Research in Context
What this study did
Kaur et al. (2024) asked 6894 preschool and school teachers to fill out a short rating form. The form covered four areas: social skills, attention, repetitive behavior, and communication.
The team then used cluster analysis. This is a math tool that groups kids who look alike on the ratings.
What they found
The numbers fell into three clear piles: kids with both ASD and ADHD signs, kids with mild or ‘subthreshold’ signs, and kids with typical scores.
The clusters matched later clinical checks. Teacher ratings alone were enough to flag who needed a closer look.
How this fits with other research
Lecavalier (2006) did the same clustering trick years ago. They also saw teacher ratings sort kids with PDD into clear behavior groups. The new study widens the lens to a full community sample.
Eggleston et al. (2018) warned that single teacher questionnaires miss many autism cases. The difference is method: D used one short CASD form, while Sharanpreet used a four-domain scale. More items give a fuller picture, so the results do not truly clash.
Bremer et al. (2020) used cluster analysis too. They grouped kids by attention and math skill. Both studies show clusters can slice through labels like ASD and ADHD to find real-world profiles.
Why it matters
You can borrow the four-domain teacher form today. It takes five minutes and gives you a quick map of who may need referral. Pair it with your other tools; it does not replace them. Use it in MTSS or early-screening meetings to catch kids with combined ASD+ADHD or mild signs that usual checklists skip.
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02At a glance
03Original abstract
An early detection of Neurodevelopmental Disorders (NDDs) is crucial for their prognosis; however, the clinical heterogeneity of some disorders, such as autism spectrum disorder (ASD) or attention-deficit hyperactivity disorder (ADHD) is an obstacle to accurate diagnoses in children. In order to facilitate the screening process, the current study aimed to identify symptom-based clusters among a community-based sample of preschool and school-aged children, using behavioral characteristics reported by teachers. A total of 6894 children were assessed on four key variables: social communication differences, restricted behavior patterns, restless-impulsiveness, and emotional lability (pre-schoolers) or inattention and hyperactivity-impulsivity (school-aged). From these behavioral profiles, four clusters were identified for each age group. A cluster of ASD + ADHD and others including children with no pathology was clearly identified, whereas two other clusters were characterized by subthreshold ASD and/or ADHD symptoms. In the school-age children, the presence of ADHD was consistently observed with ASD patterns. In pre-schoolers, teachers were more proficient at identifying children who received a diagnosis for either ASD and/or ADHD from an early stage. Considering the significance of early detection and intervention of NDDs, teachers' insights are important. Therefore, promptly identifying subthreshold symptoms in children can help to minimize consequences in social and academic functioning.
Autism research : official journal of the International Society for Autism Research, 2024 · doi:10.1002/aur.3138