California Autism Prevalence Trends from 1931 to 2014 and Comparison to National ASD Data from IDEA and ADDM

Cynthia Nevison; Mark Blaxill; Walter Zahorodny

doi:10.1007/s10803-018-3670-2

California Autism Prevalence Trends from 1931 to 2014 and Comparison to National ASD Data from IDEA and ADDM

Cynthia Nevison, Mark Blaxill, Walter Zahorodny

New Jersey Medical School (NJMS), Pediatrics, Division of Allergy/Immunology/Infectious and Pulmonary Diseases

Research output: Contribution to journal › Article › peer-review

35 Scopus citations

Abstract

Time trends in U.S. autism prevalence from three ongoing datasets [Individuals with Disabilities Education Act, Autism and Developmental Disabilities Monitoring Network, and California Department of Developmental Services (CDDS)] are calculated using two different methods: (1) constant-age tracking of 8 year-olds and (2) age-resolved snapshots. The data are consistent across methods in showing a strong upward trend over time. The prevalence of autism in the CDDS dataset, the longest of the three data records, increased from 0.001% in the cohort born in 1931 to 1.2% among 5 year-olds born in 2012. This increase began around ~ 1940 at a rate that has gradually accelerated over time, including notable change points around birth years 1980, 1990 and, most recently, 2007.

Original language	English (US)
Pages (from-to)	4103-4117
Number of pages	15
Journal	Journal of Autism and Developmental Disorders
Volume	48
Issue number	12
DOIs	https://doi.org/10.1007/s10803-018-3670-2
State	Published - Dec 1 2018

All Science Journal Classification (ASJC) codes

Developmental and Educational Psychology

Keywords

ADDM
ASD prevalence
Autism spectrum disorder
Autistic disorder
CDDS
IDEA
Time trends

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10.1007/s10803-018-3670-2

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title = "California Autism Prevalence Trends from 1931 to 2014 and Comparison to National ASD Data from IDEA and ADDM",

abstract = "Time trends in U.S. autism prevalence from three ongoing datasets [Individuals with Disabilities Education Act, Autism and Developmental Disabilities Monitoring Network, and California Department of Developmental Services (CDDS)] are calculated using two different methods: (1) constant-age tracking of 8 year-olds and (2) age-resolved snapshots. The data are consistent across methods in showing a strong upward trend over time. The prevalence of autism in the CDDS dataset, the longest of the three data records, increased from 0.001% in the cohort born in 1931 to 1.2% among 5 year-olds born in 2012. This increase began around ~ 1940 at a rate that has gradually accelerated over time, including notable change points around birth years 1980, 1990 and, most recently, 2007.",

keywords = "ADDM, ASD prevalence, Autism spectrum disorder, Autistic disorder, CDDS, IDEA, Time trends",

author = "Cynthia Nevison and Mark Blaxill and Walter Zahorodny",

note = "Funding Information: The authors thank the California Department of Developmental Services (CDDS) for providing much of the data used in this study. We are particularly grateful to CDDS data analyst Paul Choate for his detailed explanations of CDDS codes and practices. We also thank two anonymous reviewers for their helpful comments, which much improved the manuscript. CN, MB and WZ declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Publisher Copyright: {\textcopyright} 2018, The Author(s).",

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doi = "10.1007/s10803-018-3670-2",

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AU - Blaxill, Mark

AU - Zahorodny, Walter

N1 - Funding Information: The authors thank the California Department of Developmental Services (CDDS) for providing much of the data used in this study. We are particularly grateful to CDDS data analyst Paul Choate for his detailed explanations of CDDS codes and practices. We also thank two anonymous reviewers for their helpful comments, which much improved the manuscript. CN, MB and WZ declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Publisher Copyright: © 2018, The Author(s).

PY - 2018/12/1

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N2 - Time trends in U.S. autism prevalence from three ongoing datasets [Individuals with Disabilities Education Act, Autism and Developmental Disabilities Monitoring Network, and California Department of Developmental Services (CDDS)] are calculated using two different methods: (1) constant-age tracking of 8 year-olds and (2) age-resolved snapshots. The data are consistent across methods in showing a strong upward trend over time. The prevalence of autism in the CDDS dataset, the longest of the three data records, increased from 0.001% in the cohort born in 1931 to 1.2% among 5 year-olds born in 2012. This increase began around ~ 1940 at a rate that has gradually accelerated over time, including notable change points around birth years 1980, 1990 and, most recently, 2007.

AB - Time trends in U.S. autism prevalence from three ongoing datasets [Individuals with Disabilities Education Act, Autism and Developmental Disabilities Monitoring Network, and California Department of Developmental Services (CDDS)] are calculated using two different methods: (1) constant-age tracking of 8 year-olds and (2) age-resolved snapshots. The data are consistent across methods in showing a strong upward trend over time. The prevalence of autism in the CDDS dataset, the longest of the three data records, increased from 0.001% in the cohort born in 1931 to 1.2% among 5 year-olds born in 2012. This increase began around ~ 1940 at a rate that has gradually accelerated over time, including notable change points around birth years 1980, 1990 and, most recently, 2007.

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California Autism Prevalence Trends from 1931 to 2014 and Comparison to National ASD Data from IDEA and ADDM

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All Science Journal Classification (ASJC) codes

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