[article]
| Titre : |
School-Based Autism Rates by State: An Analysis of Demographics, Political Leanings, and Differential Identification |
| Type de document : |
texte imprimé |
| Auteurs : |
Jonathan SAFER-LICHTENSTEIN, Auteur ; J. HAMILTON, Auteur ; L. L. MCINTYRE, Auteur |
| Article en page(s) : |
p.2271-2283 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Adolescent Autism Spectrum Disorder/epidemiology Child Education, Special/statistics & numerical data Female Humans Intellectual Disability/epidemiology Learning Disabilities/epidemiology Male Politics Population Surveillance Prevalence Public Policy Schools/statistics & numerical data Social Class State Government United States/epidemiology Asd School eligibility/identification Socioeconomic status |
| Index. décimale : |
PER Périodiques |
| Résumé : |
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). |
| En ligne : |
http://dx.doi.org/10.1007/s10803-020-04700-3 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452 |
in Journal of Autism and Developmental Disorders > 51-7 (July 2021) . - p.2271-2283
|  |
School-Based Autism Rates by State: An Analysis of Demographics, Political Leanings, and Differential Identification in Journal of Autism and Developmental Disorders, 51-7 (July 2021)
