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Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences
BACKGROUND: Literature on autism spectrum disorder (ASD) suggests lower ASD prevalence and higher age of diagnosis among children of color, from lower socioeconomic backgrounds, and from families with lower educational levels. These disparities have been attributed to factors such as limited access...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745507/ https://www.ncbi.nlm.nih.gov/pubmed/33327937 http://dx.doi.org/10.1186/s11689-020-09338-x |
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author | McGrath, Kathleen Bonuck, Karen Mann, Mana |
author_facet | McGrath, Kathleen Bonuck, Karen Mann, Mana |
author_sort | McGrath, Kathleen |
collection | PubMed |
description | BACKGROUND: Literature on autism spectrum disorder (ASD) suggests lower ASD prevalence and higher age of diagnosis among children of color, from lower socioeconomic backgrounds, and from families with lower educational levels. These disparities have been attributed to factors such as limited access to diagnostic and treatment services, less opportunity for upward mobility to locales with ample resources, and linguistic barriers. However, few studies describe prevalence and geographic differences of ASD diagnoses by English Language Learner (ELL) status. OBJECTIVES: The primary objectives of this study are to (1) spatially explore the prevalence of ASD among New York State school districts and (2) examine differences of ASD prevalence rates between ELLs and native English-speaking peers. METHODS: Using the 2016–2017 district-level data on public and non-public school age students (3–21 years old) receiving special education services in New York, we analyzed sociodemographic trends among school districts with varying percentages (low, medium, and high ranges) of students with ASD and ELLs. To do this, we conducted exploratory spatial analyses using GIS software, analysis of school district level demographic data, and multivariate linear regression. RESULTS: In contrast to prior research on ASD prevalence among minority groups, we found disproportionately higher rates of ASD among school districts with higher proportions of Black and Hispanic students. Geographic analysis revealed statistically significant clustering of school districts with high ASD rates in New York City and Albany. Higher proportions of ELLs tended to be concentrated in densely populated, urban, and geographically smaller school districts and had higher proportions of Black, Hispanic, and Asian students. CONCLUSIONS: Schools with higher rates of ASD and ELL students tend to be concentrated in urban regions throughout New York and have higher representation of Black and Hispanic/Latino students, as well as higher rates of learning disabilities in general. Further research is warranted to explore possible reasons for this phenomenon. |
format | Online Article Text |
id | pubmed-7745507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77455072020-12-18 Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences McGrath, Kathleen Bonuck, Karen Mann, Mana J Neurodev Disord Research BACKGROUND: Literature on autism spectrum disorder (ASD) suggests lower ASD prevalence and higher age of diagnosis among children of color, from lower socioeconomic backgrounds, and from families with lower educational levels. These disparities have been attributed to factors such as limited access to diagnostic and treatment services, less opportunity for upward mobility to locales with ample resources, and linguistic barriers. However, few studies describe prevalence and geographic differences of ASD diagnoses by English Language Learner (ELL) status. OBJECTIVES: The primary objectives of this study are to (1) spatially explore the prevalence of ASD among New York State school districts and (2) examine differences of ASD prevalence rates between ELLs and native English-speaking peers. METHODS: Using the 2016–2017 district-level data on public and non-public school age students (3–21 years old) receiving special education services in New York, we analyzed sociodemographic trends among school districts with varying percentages (low, medium, and high ranges) of students with ASD and ELLs. To do this, we conducted exploratory spatial analyses using GIS software, analysis of school district level demographic data, and multivariate linear regression. RESULTS: In contrast to prior research on ASD prevalence among minority groups, we found disproportionately higher rates of ASD among school districts with higher proportions of Black and Hispanic students. Geographic analysis revealed statistically significant clustering of school districts with high ASD rates in New York City and Albany. Higher proportions of ELLs tended to be concentrated in densely populated, urban, and geographically smaller school districts and had higher proportions of Black, Hispanic, and Asian students. CONCLUSIONS: Schools with higher rates of ASD and ELL students tend to be concentrated in urban regions throughout New York and have higher representation of Black and Hispanic/Latino students, as well as higher rates of learning disabilities in general. Further research is warranted to explore possible reasons for this phenomenon. BioMed Central 2020-12-16 /pmc/articles/PMC7745507/ /pubmed/33327937 http://dx.doi.org/10.1186/s11689-020-09338-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research McGrath, Kathleen Bonuck, Karen Mann, Mana Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences |
title | Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences |
title_full | Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences |
title_fullStr | Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences |
title_full_unstemmed | Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences |
title_short | Exploratory spatial analysis of autism rates in New York school districts: role of sociodemographic and language differences |
title_sort | exploratory spatial analysis of autism rates in new york school districts: role of sociodemographic and language differences |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745507/ https://www.ncbi.nlm.nih.gov/pubmed/33327937 http://dx.doi.org/10.1186/s11689-020-09338-x |
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