The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Autism spectrum disorders in young children: effect of changes in diagnostic practices
Abstract
BACKGROUND: It is unclear whether the increase in autism over the past two decades is a real increase or due to changes in diagnosis and ascertainment of autism spectrum disorders (ASDs), which include autism, Asperger syndrome and pervasive developmental disorder not otherwise specified (PDD-NOS). The aim of this study was to examine the trends in ASD over time in Western Australia (WA) and the possible effects and contribution of changes in diagnostic criteria, age at diagnosis, eligibility for service provision based on ASD diagnoses and changes in diagnostic practices. METHODS: A population-based study was conducted among the cohort of children born in WA between 1983 and 1999 and diagnosed with ASD between the age of 2 and 8 years up to December 31, 2004. The trend in ASD diagnosis over the study period was assessed by investigating birth cohort and period effects, and examining whether these were modified by age of diagnosis. ASD diagnosis corresponding with changes in diagnostic criteria, funding and service provision over time were also investigated. A subgroup analysis of children aged <or=5 years was also conducted to examine trends in the incidence and age of diagnosis of ASD and intellectual disability (ID) and to investigate the role of changes in diagnostic practices. RESULTS: The overall prevalence of ASD among children born between 1983 and 1999 and diagnosed by age 8 was 30 per 10,000 births with the prevalence of autism comprising 21 per 10,000 births. The prevalence of ASD increased by 11.9% per annum, from 8 cases per 10,000 births in 1983 to 46 cases per 10,000 births in 1999. The annual incidence of ASD, based on newly diagnosed ASD cases in each year from 1985 to 2002, increased over the study period. The increase in incidence of ASD appeared to coincide with changes in diagnostic criteria and availability of funding and services in WA, particularly for children aged <5 years. The age-specific rates of autism and PDD-NOS increased over time and the median age of diagnosis for autism decreased from 4 to 3 years of age throughout the 1990s. For children aged <or=5 years the incidence of ASD diagnosis increased significantly from 1992, with an average annual increase of 22%. Similar findings were found for autism. In the corresponding years the incidence of diagnosis of severe ID fell by 10% per annum and mild-moderate ID increased by 3% per annum. CONCLUSIONS: The rise in incidence of all types of ASDs by year of diagnosis appears to be related to changes in diagnostic and service provision practices in WA. In children aged
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A change in the way records are coded (e.g., upcoding or changes in coding systems, as described above) may alter the study population [63,75,76].”
From The Reporting of Studies Conducted Using Observational Routinely-Collected Health Data (RECORD) statement. (2015) · cites this paper as [75]
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Behavioral treatment and normal educational and intellectual functioning in young autistic children.
Lovaas, O. I. (1987) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.55.1.3 · Cited by 3,288
Baird, G., Simonoff, E., Pickles, A., Chandler, S., Loucas, T., Meldrum, D., & Charman, T. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69041-7 · Cited by 2,104
Royston, P. J., & Parmar, M. (2002) · Statistics in Medicine · doi:10.1002/sim.1203 · Cited by 1,537
Journal of Autism and Developmental Disorders
(2013) · Journal of Autism and Developmental Disorders · doi:10.1007/10803.1573-3432 · Cited by 1,358
Prevalence of Autism in a US Metropolitan Area
Yeargin-Allsopp, M., Rice, C., Karapurkar, T., Doernberg, N., Boyle, C., & Murphy, C. (2003) · JAMA · doi:10.1001/jama.289.1.49 · Cited by 1,248
Pervasive Developmental Disorders in preschool children
Chakrabarti, S. (2001) · JAMA · doi:10.1001/jama.285.24.3093 · Cited by 1,132
Holman, C. D. J., Bass, A. J., Rouse, I. L., & HOBBS, M. S. T. (1999) · Australian and New Zealand Journal of Public Health · doi:10.1111/j.1467-842x.1999.tb01297.x · Cited by 1,037
Evidence-Based Comprehensive Treatments for Early Autism
Rogers, S. J., & Vismara, L. A. (2008) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374410701817808 · Cited by 984
Prevalence of autism-spectrum conditions: UK school-based population study
Baron-Cohen, S., Scott, F. J., Allison, C., Williams, J., Bolton, P., Matthews, F. E., & Brayne, C. (2009) · British Journal of Psychiatry · doi:10.1192/bjp.bp.108.059345 · Cited by 918
Research works printed but not linked: 1
- 2005, The Journal of clinical psychiatry, 66, 3
Cited by
Sorted by citations
Benchimol, E. I., Smeeth, L., Guttmann, A., Harron, K., Moher, D., Petersen, I., Sørensen, H. T., von Elm, E., Langan, S. M., & RECORD Working Committee (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001885 · Cited by 5,749
Explaining differences in age at autism spectrum disorder diagnosis: A critical review
Daniels, A. M., & Mandell, D. S. (2014) · Autism · doi:10.1177/1362361313480277 · Cited by 669
The increasing prevalence of autism spectrum disorders
Matson, J. L., & Kozlowski, A. M. (2010) · Research in Autism · doi:10.1016/j.rasd.2010.06.004 · Cited by 540
“Nassar et al. (2009) also report diagnostic substitution.”
BackgroundResultHansen, S. N., Schendel, D. E., & Parner, E. T. (2015) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2014.1893 · Cited by 461
Christensen, D. L., Maenner, M. J., Bilder, D., Constantino, J. N., Daniels, J., Durkin, M. S., Fitzgerald, R. T., Kurzius-Spencer, M., Pettygrove, S. D., Robinson, C., et al. (2019) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6802a1 · Cited by 344
Metadata
- Authors
- Nassar, N., Dixon, G., Bourke, J., Bower, C., Glasson, E., de Klerk, N., & Leonard, H.
- Affiliations
- The Kids Research Institute Australia (AU)
- Corresponding author
- Leonard, H.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-09-07
- Volume
- 38
- Issue
- 5
- Pages
- 1245-1254
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2097406778
- Cited by
- 162
- References
- 34
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 5 · 2022: 10 · 2021: 8 · 2020: 11 · 2019: 10 · 2018: 9 · 2017: 6 · 2016: 12 · 2015: 14 · 2014: 18 · 2013: 7 · 2012: 13
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
- Social Sciences › Psychology › Clinical Psychology › Family and Disability Support Research
- Keywords
- autism spectrum disorder, Asperger syndrome, pervasive developmental disorder not otherwise specified, age at diagnosis, diagnostic criteria revision, diagnostic practices, intellectual disability, service eligibility, Western Australia, young children
- MeSH terms
- Autistic Disorder, Child, Child, Preschool, Delivery of Health Care, Diagnosis, Differential, Female, Humans, Male, Medical Record Linkage, Western Australia, Prevalence, Practice Guidelines as Topic, Asperger Syndrome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review