↓ Skip to main content

Empirically Based Phenotypic Profiles of Children with Pervasive Developmental Disorders: Interpretation in the Light of the DSM-5

Overview of attention for article published in Journal of Autism and Developmental Disorders, December 2012
Altmetric Badge

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
92 Mendeley
Title
Empirically Based Phenotypic Profiles of Children with Pervasive Developmental Disorders: Interpretation in the Light of the DSM-5
Published in
Journal of Autism and Developmental Disorders, December 2012
DOI 10.1007/s10803-012-1724-4
Pubmed ID
Authors

Kirstin Greaves-Lord, Mart L. J. M. Eussen, Frank C. Verhulst, Ruud B. Minderaa, William Mandy, James J. Hudziak, Mark Peter Steenhuis, Pieter F. de Nijs, Catharina A. Hartman

Abstract

This study aimed to contribute to the Diagnostic and Statistical Manual (DSM) debates on the conceptualization of autism by investigating (1) whether empirically based distinct phenotypic profiles could be distinguished within a sample of mainly cognitively able children with pervasive developmental disorder (PDD), and (2) how profiles related to diagnoses and co-occurring behavioral and emotional problems. Six classes with distinct profiles were discerned. Three classes showed profiles not completely in line with the proposed DSM-5 conceptualization of autism. These classes included relatively many cognitively able individuals with PDD-not otherwise specified. However, profiles seemed to suit other diagnostic categories, such as social communication disorder. These alternative diagnoses could retain eligibility for services, and might adequately fit more specifically targeted interventions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
United States 1 1%
Canada 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Ph. D. Student 15 16%
Researcher 11 12%
Student > Bachelor 8 9%
Professor 5 5%
Other 18 20%
Unknown 19 21%
Readers by discipline Count As %
Psychology 23 25%
Social Sciences 13 14%
Medicine and Dentistry 10 11%
Neuroscience 7 8%
Unspecified 5 5%
Other 12 13%
Unknown 22 24%