School-Based Autism Rates by State: An Analysis of Demographics, Political Leanings, and Differential Identification.

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...

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Detalles Bibliográficos
Publicado en:Journal of Autism & Developmental Disorders Vol. 51; no. 7; pp. 2271 - 2284
Autores principales: Safer-Lichtenstein, Jonathan, Hamilton, Jillian, McIntyre, Laura Lee
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Jul2021
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario: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).