Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 May;48(5):474-483.
doi: 10.1097/CHI.0b013e31819b3848.

Timing of identification among children with an autism spectrum disorder: findings from a population-based surveillance study

Affiliations

Timing of identification among children with an autism spectrum disorder: findings from a population-based surveillance study

Paul T Shattuck et al. J Am Acad Child Adolesc Psychiatry. 2009 May.

Abstract

Objective: At what age are children with an autism spectrum disorder (ASD) identified by community providers? What factors influence the timing of when children are identified with ASDs? This study examined the timing of when children with ASDs are identified.

Method: Data came from 13 sites participating in the Centers for Disease Control and Prevention's 2002 multisite ongoing autism surveillance program, the Autism and Developmental Disabilities Monitoring Network. Survival analysis was used to examine factors that influence the timing of community-based identification and diagnosis.

Result: Data from health and education records reveal that the median age of identification was 5.7 years (SE 0.08 years). Parametric survival models revealed that several factors were associated with a younger age of identification: being male, having an IQ of 70 or lower, and having experienced developmental regression. Significant differences in the age of identification among the 13 sites were also discovered.

Conclusions: The large gap between the age at which children can be identified and when they actually are identified suggests a critical need for further research, innovation, and improvement in this area of clinical practice.

PubMed Disclaimer

Conflict of interest statement

Disclosure: Dr. Rice serves as a trainer for professionals in the assessment of Autism Spectrum Disorders using the Autism Diagnostic Observation Scale. The other authors report no conflicts of interest.

Figures

Figure 1
Figure 1
Proportion of Cases Not Yet Identified with Autism in Alabama, Maryland, and West Virginia for Children Who Were 8-Years-Old in 2002 and Met Autism Case Criteria as Part of the U.S. Autism and Developmental Disabilities Network Surveillance System.a a Adjusted for all variables listed under Model 3 of Table 2.

Comment in

References

    1. Johnson CP, Myers SM Council on Children with Disabilities. Identification and evaluation of children with autism spectrum disorders. Pediatrics. 2007;120(5):1183–1215. - PubMed
    1. National Research Council. Educating children with autism. Washington, D.C: National Academy Press; 2001.
    1. Mandell DS, Listerud J, Levy SE, Pinto-Martin JA. Race differences in the age at diagnosis among Medicaid-eligible children with autism. Journal of the American Academy of Child & Adolescent Psychiatry. 2002;41(12):1447–1453. - PubMed
    1. Lord C, Spence S. Autism spectrum disorders: Phenotype and diagnosis. In: Moldin SO, Rubenstein JLR, editors. Understanding autism: From basic neuroscience to treatment. CRC Taylor and Francis; 2006. pp. 1–23.
    1. Centers for Disease Control and Prevention (CDC) Prevalence of autism spectrum disorders - Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2002. Morbidity and Mortality Weekly Report. 2007;56(SS-1):12–28. - PubMed

Publication types