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28-03-2022 | Original Paper

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

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

Gepubliceerd in: Journal of Autism and Developmental Disorders

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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.
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Metagegevens
Titel
Cluster Analysis of Clinical Features of Children Suspected to Have Neurodevelopmental Disorders
Auteurs
Mélina Rivard
Zakaria Mestari
Diane Morin
Patrick Coulombe
Catherine Mello
Marjorie Morin
Publicatiedatum
28-03-2022
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-022-05533-y