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- Title
Early Predictors of ASD in Young Children Using a Nationally Representative Data Set.
- Authors
Jeans, Laurie M.; Santos, Rosa Milagros; Laxman, Daniel J.; McBride, Brent A.; Dyer, W. Justin
- Abstract
Current clinical diagnosis of Autism Spectrum Disorders (ASD) occurs between 3 and 4 years of age, but increasing evidence indicates that intervention begun earlier may improve outcomes. Using secondary analysis of the Early Childhood Longitudinal Study–Birth Cohort data set, the current study identifies early predictors prior to the diagnosis of ASD at 4 years for approximately 100 children. Children with ASD were compared with children with other disabilities and children who were typically developing. Multinomial logistic regression analyses identified limited unique characteristics (e.g., self-regulation and sleep patterns) at the 9-month time point. A majority of the differences in communication and language, mental/cognitive function, motor function, social interaction, and self-regulation were found at the 2-year time point. Implications for research and practice are presented.
- Subjects
UNITED States; DIAGNOSIS of autism; AUTOMATIC data collection systems; CLUSTER analysis (Statistics); CONCEPTUAL structures; CONFIDENCE intervals; HOME care services; INTERVIEWING; RESEARCH funding; STATISTICAL sampling; SEX distribution; EARLY intervention (Education); MULTIPLE regression analysis; SECONDARY analysis; TASK performance; PARENT attitudes; EARLY diagnosis; DATA analysis software; DESCRIPTIVE statistics; ODDS ratio
- Publication
Journal of Early Intervention, 2013, Vol 35, Issue 4, p303
- ISSN
1053-8151
- Publication type
Article
- DOI
10.1177/1053815114523319