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Journal of Autism and Developmental Disorders

Gepubliceerd in:

01-04-2012 | Original Paper

Changes in the Administrative Prevalence of Autism Spectrum Disorders: Contribution of Special Education and Health from 2002–2008

Auteurs: Judith Pinborough-Zimmerman, Amanda V. Bakian, Eric Fombonne, Deborah Bilder, Jocelyn Taylor, William M. McMahon

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 4/2012

Abstract

This study examined changes in the administrative prevalence of autism spectrum disorders (ASD) in Utah children from 2002 to 2008 by record source (school and health), age (four, six, and eight), and special education classification. Prevalence increased 100% with 1 in 77 children aged eight identified with ASD by 2008. Across study years and age groups rates were higher when health and school data were combined with a greater proportion of cases ascertained from health. The proportion of children with both a health ASD diagnosis and a special education autism classification did not significantly change. Most children with an ASD health diagnosis did not have an autism special education classification. Findings highlight the growing health and educational impact of ASD.

vorige artikel Overview of Meta-Analyses on Early Intensive Behavioral Intervention for Young Children with Autism Spectrum Disorders

volgende artikel Parental Sleep Concerns in Autism Spectrum Disorders: Variations from Childhood to Adolescence

U.S. Census Bureau. (2009). 2009 American community survey. Table R1105. Retrieved October 15, 2010, from http://factfinder.census.gov/home/saff/main.html?_lang=en.

American Psychiatric Association. (2000). Diagnostic criteria from DSM-IV-TR. Washington, D.C.: American Psychiatric Association.

American Psychiatric Association. (2010). DSM-5: The Furture of psychiatric diagnosis. Retrieved from https://www.dsm5.org/Pages/Default.aspx.

Avchen, R. N., Wiggins, L.D., Devine, O., Van Naarden Braun, K., Rice, C., Hobson, N. C., et al. (2010). Evaluation of a records-review surveillance system used to determine the prevalence of autism spectrum disorders. Journal of Autism and Developmental Disorders, 41(2), 227–236.

Baird, M. M. (1999). Legal issues in autism. In Proceedings of the 20th National Institute on Legal Issues of Educating Individuals with Disabilities. Alexandria, VA: LRP Publications.

Barbaresi, W. J., Katusic, S. K., Colligan, R. C., Weaver, A. L., & Jacobsen, S. J. (2005). The incidence of autism in Olmsted County, Minnesota, 1976–1997: Results from a population-based study. Archives of Pediatrics and Adolescent Medicine, 159(1), 37–44.PubMedCrossRef

Bishop, D. V., Whitehouse, A. J., Watt, H. J., & Line, E. A. (2008). Autism and diagnostic substitution: evidence from a study of adults with a history of developmental language disorder. Developmental Medicine and Child Neurology, 50(5), 341–345.PubMedCrossRef

Center for Special Education Finance. (2003). Total expenditures for students with disabilities, 1999–2000: Spending variation by disability. American Institutes for Research.

Centers for Disease Control and Prevention. (2007). Prevalence of autism spectrum disorders–autism and developmental disabilities monitoring network, 14 sites, United States, 2002. MMWR Surveillance summaries, 56(1), 12–28.

Centers for Disease Control and Prevention. (2009). Prevalence of autism spectrum disorders—autism and developmental disabilities monitoring network, United States, 2006. MMWR Surveillance summaries, 58(10), 1–20.

Fombonne, E. (2001). Is there an epidemic of autism? Pediatrics, 107(2), 411–412.PubMedCrossRef

Fombonne, E. (2009). Epidemiology of pervasive developmental disorders. Pediatric Research, 65(6), 591–598.PubMedCrossRef

Fombonne, E., Heavey, L., Smeeth, L., Rodrigues, L. C., Cook, C., Smith, P. G., et al. (2004). Validation of the diagnosis of autism in general practitioner records. BMC Public Health, 4, 5.PubMedCrossRef

Fombonne, E., Zakarian, R., Bennett, A., Meng, L., & McLean-Heywood, D. (2006). Pervasive developmental disorders in Montreal, Quebec, Canada: Prevalence and links with immunizations. Pediatrics, 118(1), e139–e150.PubMedCrossRef

Governor’s Office of Planning and Budget. (2001). Top ten Utah census 2000. Retrieved October 18, 2010, from http://governor.utah.gov/dea/Census2000Data/TopTen.PDF.

Grether, J. K., Rosen, N. J., Smith, K. S., & Croen, L. A. (2009). Investigation of shifts in autism reporting in the California department of developmental services. Journal of Autism and Developmental Disorders, 39(10), 1412–1419.PubMedCrossRef

Gurney, J. G., Fritz, M. S., Ness, K. K., Sievers, P., Newschaffer, C. J., & Shapiro, E. G. (2003). Analysis of prevalence trends of autism spectrum disorder in Minnesota. Archives of Pediatrics and Adolescent Medicine, 157(7), 622–627.PubMedCrossRef

Hamilton, B. E., Martin, J. A., & Ventura, S. J. (2009). Utah has the country’s highest fertility rate in the country. National vital statistics reports 57 (7). Retrieved January 20, 2010, from http://www.cdc.gov/nchs/data/nvsr/nvsr57/nvsr57_12.pdf.

International Classification of Diseases. (1988). Clinical modifications (9th ed.). Washington, DC: Public Health Service.

Kielinen, M., Linna, S. L., & Moilanen, I. (2000). Autism in Northern Finland. European Child and Adolescent Psychiatry, 9(3), 162–167.PubMedCrossRef

King, M., & Bearman, P. (2009). Diagnostic change and the increased prevalence of autism. International Journal of Epidemiology, 38(5), 1224–1234.PubMedCrossRef

Kogan, M. D., Blumberg, S. J., Schieve, L. A., Boyle, C. A., Perrin, J. M., Ghandour, R. M., et al. (2009). Prevalence of parent-reported diagnosis of autism spectrum disorder among children in the US, 2007. Pediatrics, 124(5), 1395–1403.PubMedCrossRef

Laidler, J. R. (2005). US Department of Education data on “autism” are not reliable for tracking autism prevalence. Pediatrics, 116(1), e120–e124.PubMedCrossRef

Lauritsen, M., Jorgensen, M., Madsen, K., Lemcke, S., Toft, S., Grove, J., et al. (2010). Validity of childhood autism in the Danish psychiatric central register: Findings from a chorot sample born 1990–1999. Journal of Autism and Developmental Disorders, 40(2), 139–148.PubMedCrossRef

MacFarlane, J. R., & Kanaya, T. (2009). What does it mean to be autistic? Inter-state variation in special education criteria for autism services. Journal of Child and Family Studies, 18(6), 662–669.CrossRef

Nassar, N., Dixon, G., Bourke, J., Bower, C., Glasson, E., de Klerk, N., et al. (2009). Autism spectrum disorders in young children: Effect of changes in diagnostic practices. International Journal of Epidemiology, 38(5), 1245–1254.PubMedCrossRef

National Archives and Records Administration. (2010). Code of federal regulations. Retrieved from http://www.access.gpo.gov/cgi-bin/cfrassemble.cgi?title=200034.

Newschaffer, C. J., Falb, M. D., & Gurney, J. G. (2005). National autism prevalence trends from United States special education data. Pediatrics, 115(3), e277–e282.PubMedCrossRef

Office of Special Education Programs. (2008). Part B –trend data report for states and outlying areas, 2003-04 through 2007-08. Retrieved from https://www.ideadata.org/default.asp.

Office of Special Education Programs. (2008). Profiles of parts b and c programs in states and outlying areas. Retrieved from https://www.ideadata.org/default.asp.

Pinborough-Zimmerman, J., Bilder, D., Satterfield, R., Hossain, S., & McMahon, W. (2010). The impact of surveillance method and record source on autism prevalence: collaboration with Utah maternal and child health programs. Maternal and Child Health Journal, 14(3), 392–400.PubMedCrossRef

SAS Institute. (2008). SAS version 9.2. Cary North Carolina, USA: SAS Institute.

Shattuck, P. T. (2006). Diagnostic substitution and changing autism prevalence. Pediatrics, 117(4), 1438–1439.PubMedCrossRef

Utah Department of Health. (2010). Center for health data, indicator-based information system for public health. Retrieved September 1, 2010, from http://ibis.helath.utah.gov.

Utah State Board of Education. (2010). Special education rules. Retrieved October 18, 2010, from http://www.schools.utah.gov/sars/DOCS/law/finalrules.aspx.

Van Naarden Braun, K., Pettygrove, S., Daniels, J., Miller, L., Nicholas, J., Baio, J., et al. (2007). Evaluation of a methodology for a collaborative multiple source surveillance network for autism spectrum disorders–autism and developmental disabilities monitoring network, 14 sites, United States, 2002. MMWR Surveillance summaries, 56(1), 29–40.

Yeargin-Allsopp, M., Rice, C., Karapurkar, T., Doernberg, N., Boyle, C., & Murphy, C. (2003). Prevalence of autism in a US metropolitan area. The journal of the American Medical Association, 289(1), 49–55.CrossRef

Titel: Changes in the Administrative Prevalence of Autism Spectrum Disorders: Contribution of Special Education and Health from 2002–2008
Auteurs: Judith Pinborough-Zimmerman
Amanda V. Bakian
Eric Fombonne
Deborah Bilder
Jocelyn Taylor
William M. McMahon
Publicatiedatum: 01-04-2012
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 4/2012
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-011-1265-2

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