County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States

被引:5
|
作者
Bradshaw, Jessica [1 ]
Eberth, Jan M. [2 ,3 ]
Zgodic, Anja [3 ]
Federico, Alexis [1 ]
Flory, Kate [1 ]
McLain, Alexander C. [3 ]
机构
[1] Univ South Carolina, Dept Psychol, Columbia, SC USA
[2] Univ South Carolina, Dept Epidemiol & Biostat, Columbia, SC USA
[3] Univ South Carolina, Rural & Minor Hlth Res Ctr, Columbia, SC 29208 USA
关键词
small area estimate; autism prevalence; national survey of children's health; geographic disparities; DISABILITIES MONITORING NETWORK; AGED; 8; YEARS; US CHILDREN; EARLY IDENTIFICATION; INSURANCE MANDATES; 11; SITES; DIAGNOSIS; ADOLESCENTS;
D O I
10.1007/s10803-023-05920-z
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Prevalence estimates of autism spectrum disorder (ASD) point to geographic and socioeconomic disparities in identification and diagnosis. Estimating national prevalence rates can limit understanding of local disparities, especially in rural areas where disproportionately higher rates of poverty and decreased healthcare access exist. Using a small area estimation approach from the 2016-2018 National Survey of Children's Health (N = 70,913), we identified geographic differences in ASD prevalence, ranging from 4.38% in the Mid-Atlantic to 2.71% in the West South-Central region. Cluster analyses revealed "hot spots" in parts of the Southeast, East coast, and Northeast. This geographic clustering of prevalence estimates suggests that local or state-level differences in policies, service accessibility, and sociodemographics may play an important role in identification and diagnosis of ASD.County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States.
引用
收藏
页码:2710 / 2718
页数:9
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