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14-09-2020 | Original Paper

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

Auteurs: Jonathan Safer-Lichtenstein, Jillian Hamilton, Laura Lee McIntyre

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 7/2021

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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).
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Metagegevens
Titel
School-Based Autism Rates by State: An Analysis of Demographics, Political Leanings, and Differential Identification
Auteurs
Jonathan Safer-Lichtenstein
Jillian Hamilton
Laura Lee McIntyre
Publicatiedatum
14-09-2020
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 7/2021
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-020-04700-3