[article] 
inJournal of Autism and Developmental Disorders > 51-7 (July 2021) . - p.2271-2283

Titre :	School-Based Autism Rates by State: An Analysis of Demographics, Political Leanings, and Differential Identification
Type de document :	Texte imprimé et/ou numérique
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

[article] School-Based Autism Rates by State: An Analysis of Demographics, Political Leanings, and Differential Identification [Texte imprimé et/ou numérique] / Jonathan SAFER-LICHTENSTEIN, Auteur ; J. HAMILTON, Auteur ; L. L. MCINTYRE, Auteur . - p.2271-2283.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-7 (July 2021) . - p.2271-2283

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