Classifying Autism Spectrum Disorders by ADI-R: Subtypes or Severity Gradient?

Autor/inn/en	Cholemkery, Hannah; Medda, Juliane; Lempp, Thomas; Freitag, Christine M.
Titel	Classifying Autism Spectrum Disorders by ADI-R: Subtypes or Severity Gradient?
Quelle	In: Journal of Autism and Developmental Disorders, 46 (2016) 7, S.2327-2339 (13 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0162-3257
DOI	10.1007/s10803-016-2760-2
Schlagwörter	Autism; Pervasive Developmental Disorders; Multivariate Analysis; Children; Adolescents; Young Adults; Symptoms (Individual Disorders); Clinical Diagnosis; Severity (of Disability); Interpersonal Communication; Communication Problems; Classification; Behavior Problems + Suchen Sie Ihr Suchwort? Autismus; Multivariate Analyse; Child; Kind; Kinder; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Young adult; Junger Erwachsener; Psychiatrische Symptomatik; Schweregrad; Interpersonale Kommunikation; Kommunikationsbarriere; Classification system; Klassifikation; Klassifikationssystem
Abstract	To reduce phenotypic heterogeneity of Autism spectrum disorders (ASD) and add to the current diagnostic discussion this study aimed at identifying clinically meaningful ASD subgroups. Cluster analyses were used to describe empirically derived groups based on the Autism Diagnostic Interview-revised (ADI-R) in a large sample of n = 463 individuals with ASD aged 3-21. Three clusters were observed. Most severely affected individuals regarding all core symptoms were allocated to cluster 2. Cluster 3 comprised moderate symptom severity of social communication impairments (SCI) and less stereotyped repetitive behavior (RRB). Minor SCI and relatively more RRB characterized cluster 1. This study offers support for both, a symptom profile, and a gradient model of ASD within the spectrum due to the sample included. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01