| 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 [1], Boyle M [2], Szatmari P [3], Hanna S [4], Duku E [5], Zwaigenbaum L [6], Bryson S [7], Fombonne E [8], Volden J [9], Mirenda P [10], Smith I [11], Roberts W [12], Vaillancourt T [13], Waddell C [14], Bennett T [15], Elsabbagh M [16], Thompson A [17] |
| Corporate Authors | Pathways in ASD Study Team [18] |
| Journal | J Autism Dev Disord |
| Volume | 44 |
| Issue | 12 |
| Pagination | 3045-55 |
| Date Published | 2014 Dec |
| ISSN | 1573-3432 |
| Keywords | Age Factors [19], Child [20], Child Development Disorders, Pervasive [21], Child, Preschool [22], Cohort Studies [23], Cross-Sectional Studies [24], Female [25], Humans [26], Longitudinal Studies [27], Male [28], Phenotype [29] |
| 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. |
| DOI | 10.1007/s10803-014-2167-x [30] |
| Alternate Journal | J Autism Dev Disord |
| PubMed ID | 24958435 [31] |
| Grant List | / / Canadian Institutes of Health Research / Canada |
