Modeling the phenotypic architecture of autism symptoms from time of diagnosis to age 6.
|Title||Modeling the phenotypic architecture of autism symptoms from time of diagnosis to age 6.|
|Publication Type||Journal Article|
|Year of Publication||2014|
|Authors||Georgiades S, Boyle M, Szatmari P, Hanna S, Duku E, Zwaigenbaum L, Bryson S, Fombonne E, Volden J, Mirenda P, Smith I, Roberts W, Vaillancourt T, Waddell C, Bennett T, Elsabbagh M, Thompson A|
|Corporate Authors||Pathways in ASD Study Team|
|Journal||J Autism Dev Disord|
|Date Published||2014 Dec|
|Keywords||Age Factors, Child, Child Development Disorders, Pervasive, Child, Preschool, Cohort Studies, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Male, Phenotype|
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.
|Alternate Journal||J Autism Dev Disord|
|Grant List||/ / Canadian Institutes of Health Research / Canada|