Michelle Dawson posts

Post published on Twitter/X on 21 Oct 2021 13:29

Twitter/X DOI work crossref Extract quoted in the post Question asked by Dawson in the post External link integrated into the post Autism terms

Structured cited links

1 cited resource

DOI work Fetched Post crossref

Josephine Shenouda, Emily Barrett, Amy L. Davidow, William Halperin, Vincent M. B. Silenzio, Walter Zahorodny (2022). Prevalence of autism spectrum disorder in a large, diverse metropolitan area: Variation by sociodemographic factors. Autism Research, 15(1), 146-155. Wiley.

Publication date
21 Oct 2021
Identifier
10.1002/aur.2628
Authors
Josephine Shenouda, Emily Barrett, Amy L. Davidow, William Halperin, Vincent M. B. Silenzio, Walter Zahorodny
Source
Autism Research
Details
15(1), 146-155
Reference type
article
Publisher
Wiley
Metadata source
crossref

Abstract

Abstract Autism spectrum disorder (ASD) prevalence estimates have varied by region. In this study, ASD prevalence, based on active case finding from multiple sources, was determined at the county and school district levels in the New Jersey metropolitan area. Among children born in 2008, residing in a four‐county area and enrolled in public school in 2016, ASD prevalence was estimated to be 36 per 1000, but was significantly higher in one region—54 per 1000 and greater than 70 per 1000, in multiple school districts. Significant variation in ASD prevalence by race/ethnicity, socioeconomic status (SES), and school district size was identified. Highest prevalence was in mid‐SES communities, contrary to expectation. Prevalence among Hispanic children was lower than expected, indicating a disparity in identification. Comprehensive surveillance should provide estimates at the county and town levels to appreciate ASD trends, identify disparities in detection or treatment, and explore factors influencing change in prevalence. Lay Summary We found autism prevalence to be 3.6% in New Jersey overall, but higher in one region (5.4%) and in multiple areas approaching 7.0%. We identified significant variation in autism spectrum disorder (ASD) prevalence by race/ethnicity, socioeconomic status (SES) and school district size. Mapping prevalence in smaller, well‐specified, regions may be useful to better understand the true scope of ASD, disparities in ASD detection and the factors impacting ASD prevalence estimation.

Study authors in this cited reference