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14-09-2020 | Original Paper

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

Tijdschrift:: Journal of Autism and Developmental Disorders

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

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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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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
DOI: https://doi.org/10.1007/s10803-020-04700-3
Uitgeverij: Springer US
Tijdschrift: Journal of Autism and Developmental Disorders
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432

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