| Literature DB >> 32926306 |
Jonathan Safer-Lichtenstein1, Jillian Hamilton1, Laura Lee McIntyre2.
Abstract
We reviewed federal special education data to determine school-identified prevalence of Autism Spectrum Disorder (ASD) and other disability categories by U.S. state. We also examined whether state-level policies, demographic factors, and rates of other eligibility categories are predictive of these state ASD rates. Results indicate that overall, 1 of 81 school-aged children are served under an ASD special education eligibility. State-level demographic factors, such as socioeconomic status and political leanings were highly predictive of rates of ASD. States with higher rates of ASD had lower rates of intellectual and learning disabilities, but higher rates of Other Health Impairment (OHI).Entities:
Keywords: ASD; Politics; School eligibility/identification; Socioeconomic status
Mesh:
Year: 2021 PMID: 32926306 DOI: 10.1007/s10803-020-04700-3
Source DB: PubMed Journal: J Autism Dev Disord ISSN: 0162-3257