Prevalence of autism spectrum disorders--Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008 - PubMed (original) (raw)
. 2012 Mar 30;61(3):1-19.
Collaborators
- PMID: 22456193
Free article
Prevalence of autism spectrum disorders--Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008
Autism and Developmental Disabilities Monitoring Network Surveillance Year 2008 Principal Investigators et al. MMWR Surveill Summ. 2012.
Free article
Abstract
Problem/condition: Autism spectrum disorders (ASDs) are a group of developmental disabilities characterized by impairments in social interaction and communication and by restricted, repetitive, and stereotyped patterns of behavior. Symptoms typically are apparent before age 3 years. The complex nature of these disorders, coupled with a lack of biologic markers for diagnosis and changes in clinical definitions over time, creates challenges in monitoring the prevalence of ASDs. Accurate reporting of data is essential to understand the prevalence of ASDs in the population and can help direct research.
Period covered: 2008.
Description of system: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system that estimates the prevalence of ASDs and describes other characteristics among children aged 8 years whose parents or guardians reside within 14 ADDM sites in the United States. ADDM does not rely on professional or family reporting of an existing ASD diagnosis or classification to ascertain case status. Instead, information is obtained from children's evaluation records to determine the presence of ASD symptoms at any time from birth through the end of the year when the child reaches age 8 years. ADDM focuses on children aged 8 years because a baseline study conducted by CDC demonstrated that this is the age of identified peak prevalence. A child is included as meeting the surveillance case definition for an ASD if he or she displays behaviors (as described on a comprehensive evaluation completed by a qualified professional) consistent with the American Psychiatric Association's Diagnostic and Statistical Manual-IV, Text Revision (DSM-IV-TR) diagnostic criteria for any of the following conditions: Autistic Disorder; Pervasive Developmental Disorder-Not Otherwise Specified (PDD-NOS, including Atypical Autism); or Asperger Disorder. The first phase of the ADDM methodology involves screening and abstraction of comprehensive evaluations completed by professional providers at multiple data sources in the community. Multiple data sources are included, ranging from general pediatric health clinics to specialized programs for children with developmental disabilities. In addition, many ADDM sites also review and abstract records of children receiving special education services in public schools. In the second phase of the study, all abstracted evaluations are reviewed by trained clinicians to determine ASD case status. Because the case definition and surveillance methods have remained consistent across all ADDM surveillance years to date, comparisons to results for earlier surveillance years can be made. This report provides updated ASD prevalence estimates from the 2008 surveillance year, representing 14 ADDM areas in the United States. In addition to prevalence estimates, characteristics of the population of children with ASDs are described, as well as detailed comparisons of the 2008 surveillance year findings with those for the 2002 and 2006 surveillance years.
Results: For 2008, the overall estimated prevalence of ASDs among the 14 ADDM sites was 11.3 per 1,000 (one in 88) children aged 8 years who were living in these communities during 2008. Overall ASD prevalence estimates varied widely across all sites (range: 4.8-21.2 per 1,000 children aged 8 years). ASD prevalence estimates also varied widely by sex and by racial/ethnic group. Approximately one in 54 boys and one in 252 girls living in the ADDM Network communities were identified as having ASDs. Comparison of 2008 findings with those for earlier surveillance years indicated an increase in estimated ASD prevalence of 23% when the 2008 data were compared with the data for 2006 (from 9.0 per 1,000 children aged 8 years in 2006 to 11.0 in 2008 for the 11 sites that provided data for both surveillance years) and an estimated increase of 78% when the 2008 data were compared with the data for 2002 (from 6.4 per 1,000 children aged 8 years in 2002 to 11.4 in 2008 for the 13 sites that provided data for both surveillance years). Because the ADDM Network sites do not make up a nationally representative sample, these combined prevalence estimates should not be generalized to the United States as a whole.
Interpretation: These data confirm that the estimated prevalence of ASDs identified in the ADDM network surveillance populations continues to increase. The extent to which these increases reflect better case ascertainment as a result of increases in awareness and access to services or true increases in prevalence of ASD symptoms is not known. ASDs continue to be an important public health concern in the United States, underscoring the need for continued resources to identify potential risk factors and to provide essential supports for persons with ASDs and their families.
Public health action: Given substantial increases in ASD prevalence estimates over a relatively short period, overall and within various subgroups of the population, continued monitoring is needed to quantify and understand these patterns. With 5 biennial surveillance years completed in the past decade, the ADDM Network continues to monitor prevalence and characteristics of ASDs and other developmental disabilities for the 2010 surveillance year. Further work is needed to evaluate multiple factors contributing to increases in estimated ASD prevalence over time. ADDM Network investigators continue to explore these factors, with a focus on understanding disparities in the identification of ASDs among certain subgroups and on how these disparities have contributed to changes in the estimated prevalence of ASDs. CDC is partnering with other federal and private partners in a coordinated response to identify risk factors for ASDs and to meet the needs of persons with ASDs and their families.
Similar articles
- Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014.
Baio J, Wiggins L, Christensen DL, Maenner MJ, Daniels J, Warren Z, Kurzius-Spencer M, Zahorodny W, Robinson Rosenberg C, White T, Durkin MS, Imm P, Nikolaou L, Yeargin-Allsopp M, Lee LC, Harrington R, Lopez M, Fitzgerald RT, Hewitt A, Pettygrove S, Constantino JN, Vehorn A, Shenouda J, Hall-Lande J, Van Naarden Braun K, Dowling NF. Baio J, et al. MMWR Surveill Summ. 2018 Apr 27;67(6):1-23. doi: 10.15585/mmwr.ss6706a1. MMWR Surveill Summ. 2018. PMID: 29701730 Free PMC article. - Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Seven Sites, United States, 2010, 2012, and 2014.
Christensen DL, Maenner MJ, Bilder D, Constantino JN, Daniels J, Durkin MS, Fitzgerald RT, Kurzius-Spencer M, Pettygrove SD, Robinson C, Shenouda J, White T, Zahorodny W, Pazol K, Dietz P. Christensen DL, et al. MMWR Surveill Summ. 2019 Apr 12;68(2):1-19. doi: 10.15585/mmwr.ss6802a1. MMWR Surveill Summ. 2019. PMID: 30973853 Free PMC article. - Prevalence of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2010.
Developmental Disabilities Monitoring Network Surveillance Year 2010 Principal Investigators; Centers for Disease Control and Prevention (CDC). Developmental Disabilities Monitoring Network Surveillance Year 2010 Principal Investigators, et al. MMWR Surveill Summ. 2014 Mar 28;63(2):1-21. MMWR Surveill Summ. 2014. PMID: 24670961 - The genetics of autism.
Muhle R, Trentacoste SV, Rapin I. Muhle R, et al. Pediatrics. 2004 May;113(5):e472-86. doi: 10.1542/peds.113.5.e472. Pediatrics. 2004. PMID: 15121991 Review. - Public health monitoring of developmental disabilities with a focus on the autism spectrum disorders.
Rice C, Schendel D, Cunniff C, Doernberg N. Rice C, et al. Am J Med Genet C Semin Med Genet. 2004 Feb 15;125C(1):22-7. doi: 10.1002/ajmg.c.30006. Am J Med Genet C Semin Med Genet. 2004. PMID: 14755430 Review.
Cited by
- Prenatal Exposure to Autism-Specific Maternal Autoantibodies Alters Proliferation of Cortical Neural Precursor Cells, Enlarges Brain, and Increases Neuronal Size in Adult Animals.
Martínez-Cerdeño V, Camacho J, Fox E, Miller E, Ariza J, Kienzle D, Plank K, Noctor SC, Van de Water J. Martínez-Cerdeño V, et al. Cereb Cortex. 2016 Jan;26(1):374-383. doi: 10.1093/cercor/bhu291. Epub 2014 Dec 22. Cereb Cortex. 2016. PMID: 25535268 Free PMC article. - Early brain enlargement and elevated extra-axial fluid in infants who develop autism spectrum disorder.
Shen MD, Nordahl CW, Young GS, Wootton-Gorges SL, Lee A, Liston SE, Harrington KR, Ozonoff S, Amaral DG. Shen MD, et al. Brain. 2013 Sep;136(Pt 9):2825-35. doi: 10.1093/brain/awt166. Epub 2013 Jul 9. Brain. 2013. PMID: 23838695 Free PMC article. - Trends in the prevalence of autism spectrum disorder, cerebral palsy, hearing loss, intellectual disability, and vision impairment, metropolitan atlanta, 1991-2010.
Van Naarden Braun K, Christensen D, Doernberg N, Schieve L, Rice C, Wiggins L, Schendel D, Yeargin-Allsopp M. Van Naarden Braun K, et al. PLoS One. 2015 Apr 29;10(4):e0124120. doi: 10.1371/journal.pone.0124120. eCollection 2015. PLoS One. 2015. PMID: 25923140 Free PMC article. - Large-scale use of the modified checklist for autism in low-risk toddlers.
Chlebowski C, Robins DL, Barton ML, Fein D. Chlebowski C, et al. Pediatrics. 2013 Apr;131(4):e1121-7. doi: 10.1542/peds.2012-1525. Epub 2013 Mar 25. Pediatrics. 2013. PMID: 23530174 Free PMC article. Clinical Trial. - Prosocial effects of oxytocin in two mouse models of autism spectrum disorders.
Teng BL, Nonneman RJ, Agster KL, Nikolova VD, Davis TT, Riddick NV, Baker LK, Pedersen CA, Jarstfer MB, Moy SS. Teng BL, et al. Neuropharmacology. 2013 Sep;72:187-96. doi: 10.1016/j.neuropharm.2013.04.038. Epub 2013 May 3. Neuropharmacology. 2013. PMID: 23643748 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials
Miscellaneous