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Journal of Autism and Developmental Disorders

Gepubliceerd in:

01-12-2014 | Original Paper

Modeling the Phenotypic Architecture of Autism Symptoms from Time of Diagnosis to Age 6

Auteurs: Stelios Georgiades, Michael Boyle, Peter Szatmari, Steven Hanna, Eric Duku, Lonnie Zwaigenbaum, Susan Bryson, Eric Fombonne, Joanne Volden, Pat Mirenda, Isabel Smith, Wendy Roberts, Tracy Vaillancourt, Charlotte Waddell, Teresa Bennett, Mayada Elsabbagh, Ann Thompson, Pathways in ASD Study Team

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 12/2014

Abstract

The latent class structure of autism symptoms from the time of diagnosis to age 6 years was examined in a sample of 280 children with autism spectrum disorder. Factor mixture modeling was performed on 26 algorithm items from the Autism Diagnostic Interview - Revised at diagnosis (Time 1) and again at age 6 (Time 2). At Time 1, a “2-factor/3-class” model provided the best fit to the data. At Time 2, a “2-factor/2-class” model provided the best fit to the data. Longitudinal (repeated measures) analysis of variance showed that the “2-factor/3-class” model derived at the time of diagnosis allows for the identification of a subgroup of children (9 % of sample) who exhibit notable reduction in symptom severity.

vorige artikel Experiences of Receiving a Diagnosis of Autism Spectrum Disorder: A Survey of Adults in the United Kingdom

volgende artikel Characterizing the Factor Structure of Parent Reported Executive Function in Autism Spectrum Disorders: The Impact of Cognitive Inflexibility

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Titel: Modeling the Phenotypic Architecture of Autism Symptoms from Time of Diagnosis to Age 6
Auteurs: Stelios Georgiades
Michael Boyle
Peter Szatmari
Steven Hanna
Eric Duku
Lonnie Zwaigenbaum
Susan Bryson
Eric Fombonne
Joanne Volden
Pat Mirenda
Isabel Smith
Wendy Roberts
Tracy Vaillancourt
Charlotte Waddell
Teresa Bennett
Mayada Elsabbagh
Ann Thompson
Pathways in ASD Study Team
Publicatiedatum: 01-12-2014
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 12/2014
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-014-2167-x

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