Cluster Analysis of Clinical Features of Children Suspected to Have Neurodevelopmental Disorders

Mélina Rivard, Zakaria Mestari, Diane Morin, Patrick Coulombe, Catherine Mello, Marjorie Morin

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Early identification of neurodevelopmental disabilities (NDDs) is critical to a good prognosis. Several factors such as overlapping diagnoses can complicate this process and thus delay access to services. This study sought to identify meaningful clinical profiles, beyond diagnostic labels, in 194 children with NDDs referred to an assessment clinic. Cluster analyses were applied to eight selected behavioral and cognitive variables. Results suggested a cluster structure in which three homogenous groups differed significantly from one another: children who presented either (1) heterogeneous diagnoses and ambiguous profiles, (2) a clinical profile closely aligned to a classic presentation of ASD, and (3) emotional and behavioral challenges. These distinct profiles may have implications for assessment and clinical practices.

Original languageEnglish (US)
Pages (from-to)2409-2420
Number of pages12
JournalJournal of Autism and Developmental Disorders
Volume53
Issue number6
DOIs
StatePublished - Jun 2023

All Science Journal Classification (ASJC) codes

  • Developmental and Educational Psychology

Fingerprint

Dive into the research topics of 'Cluster Analysis of Clinical Features of Children Suspected to Have Neurodevelopmental Disorders'. Together they form a unique fingerprint.

Cite this