Autism spectrum disorder: Presentation and prevalence in a nationally representative Australian sample
Abstract
Objective: The aim of this study was to identify the prevalence of parent-reported autism spectrum disorder diagnosis in Australia, and examine the developmental profile of children with autism spectrum disorder compared to their peers. Design/Setting: Secondary analyses were undertaken on data from the Longitudinal Study of Australian Children. Participants: Children were recruited at kindergarten (K cohort) and birth (B cohort), and subsequently completed two-yearly ‘waves’ of assessments. Main Outcomes: Autism spectrum disorder diagnostic status was ascertained at Wave 4 along with age of diagnosis by parent report. Standardised tools were used to assess children’s quality of life, behaviour, receptive vocabulary and non-verbal intelligence. Results: Prevalence of autism spectrum disorder was 2.5% (95% confidence interval = [2.0, 3.0]) in the B cohort compared to 1.5% (95% confidence interval = [1.2, 2.0]) in the K cohort. In both cohorts, children with autism spectrum disorder had poorer mean quality of life, emotional-behavioural functioning and receptive vocabulary compared with non-autism spectrum disorder peers, and a higher proportion of children with autism spectrum disorder had problems in these areas. However, between 6% and 9% of children with moderate to severe autism spectrum disorder and 12–20% with mild autism spectrum disorder were not reported to have problems with social interaction. Conclusion: The prevalence of a parent-reported diagnosis of autism spectrum disorder before age 7 in Australia was higher in the B cohort. Data from future Longitudinal Study of Australian Children waves will clarify whether autism spectrum disorder has been diagnosed earlier in the B cohort or if there is a continued increase in prevalence. Future waves will also provide crucial information about the types and severity of problems experienced during the primary and secondary school years which will assist service planning.
Integrity signals
Registry
Cites
Statistics
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 Australia, ASD prevalence was higher for children born 4 years apart (1999/2000 vs. 2003/2004).
“Similarly in Australia, prevalence was higher for children born 4 years apart (1999/2000 vs. 2003/2004; May et al., 2017; May et al., 2020; Randall et al., 2016).”
From Global prevalence of autism: A systematic review update (2022) · cites this paper as Randall et al., 2016
Cites
The Strengths and Difficulties Questionnaire: A research note
Goodman, R. (1997) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1997.tb01545.x · Cited by 14,908 · see citing works
The epidemiology and global burden of autism spectrum disorders
Baxter, A. J., Brugha, T. S., Erskine, H. E., Scheurer, R. W., Vos, T., & Scott, J. G. (2015) · Psychological Medicine · doi:10.1017/s003329171400172x · Cited by 1,224 · see citing works
Epidemiology of Autism Spectrum Disorders in Adults in the Community in England
Brugha, T. S., McManus, S., Bankart, J., Scott, F., Purdon, S., Smith, J., Bebbington, P., Jenkins, R., & Meltzer, H. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.38 · Cited by 903 · see citing works
Van Naarden Braun, K., Christensen, D., Doernberg, N., Schieve, L., Rice, C., Wiggins, L., Schendel, D., & Yeargin-Allsopp, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0124120 · Cited by 292 · see citing works
Barbaro, J., & Dissanayake, C. (2009) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0b013e3181ba0f9f · Cited by 257 · see citing works
Self-citationLundstrom, S., Reichenberg, A., Anckarsater, H., Lichtenstein, P., & Gillberg, C. (2015) · BMJ · doi:10.1136/bmj.h1961 · Cited by 212 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Global prevalence of autism: A systematic review update
Zeidan, J., Fombonne, E., Scorah, J., Ibrahim, A., Durkin, M. S., Saxena, S., Yusuf, A., Shih, A., & Elsabbagh, M. (2022) · Autism Research · doi:10.1002/aur.2696 · Cited by 3,117 · see citing works
The Female Autism Phenotype and Camouflaging: a Narrative Review
Hull, L., Petrides, K. V., & Mandy, W. (2020) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-020-00197-9 · Cited by 614 · see citing works
Epidemiology of autism spectrum disorders: a review of worldwide prevalence estimates since 2014
Chiarotti, F., & Venerosi, A. (2020) · Brain Sciences · doi:10.3390/brainsci10050274 · Cited by 580 · see citing works
Salari, N., Rasoulpoor, S., Rasoulpoor, S., Shohaimi, S., Jafarpour, S., Abdoli, N., Khaledi-Paveh, B., & Mohammadi, M. (2022) · Italian Journal of Pediatrics · doi:10.1186/s13052-022-01310-w · Cited by 571 · see citing works
“2/1000 in 2010–2011 [91], both of which were higher compared to a previously reported estimate (3.”
ResultEpidemiological surveys of ASD: advances and remaining challenges
Fombonne, E., MacFarlane, H., & Salem, A. C. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-021-05005-9 · Cited by 147 · see citing works
Barbaro, J., Sadka, N., Gilbert, M., Beattie, E., Li, X., Ridgway, L., Lawson, L. P., & Dissanayake, C. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.46415 · Cited by 76 · see citing works
Self-citationAs diverse as the spectrum itself: trends in sexuality, gender and autism
Sala, G., Pecora, L., Hooley, M., & Stokes, M. A. (2020) · Current Developmental Disorders Reports · doi:10.1007/s40474-020-00190-1 · Cited by 70 · see citing works
May, T., & Williams, K. (2018) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-018-3609-7 · Cited by 45 · see citing works
Self-citationLi, Y., Mache, M. A., & Todd, T. A. (2019) · Journal of Applied Biomechanics · doi:10.1123/jab.2018-0042 · Cited by 30 · see citing works
Development of postural stability in children with autism spectrum disorder: a cross-sectional study
Li, Y., Liu, T., & Venuti, C. E. (2021) · International Biomechanics · doi:10.1080/23335432.2021.1968316 · Cited by 14 · see citing works
“The recent ASD prevalence rate has been estimated to be 2.5% (Elsabbagh et al. 2012; Randall et al. 2015; Zablotsky et al. 2015).”
BackgroundInfluential
- Authors
- Randall, M., Sciberras, E., Brignell, A., Ihsen, E., Efron, D., Dissanayake, C., & Williams, K.
- Affiliations
- Royal Children's Hospital (AU)
- Murdoch Children's Research Institute (AU)
- The University of Melbourne (AU)
- La Trobe University (AU)
- Corresponding author
- Williams, Katrina
- ORCID
- Venue
- Australian & New Zealand Journal of Psychiatry
- Publisher
- SAGE Publications
- Published
- 2015-08-17
- Volume
- 50
- Issue
- 3
- Pages
- 243-253
- ISSN
- 0004-8674 (ISSN-L)
- 1440-1614
- OpenAlex
- W1863812935
- Cited by
- 109
- References
- 6
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 5 · 2023: 6 · 2022: 15 · 2021: 13 · 2020: 14 · 2019: 17 · 2018: 9 · 2017: 13 · 2016: 4
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Australian & New Zealand Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Apex Foundation
- 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, prevalence, age at diagnosis, developmental profile, quality of life, receptive vocabulary, nonverbal intelligence, social interaction, autism severity, Longitudinal Study of Australian Children, birth cohort
- MeSH terms
- Autism Spectrum Disorder, Australia, Child, Female, Humans, Intelligence, Interpersonal Relations, Longitudinal Studies, Male, Psychiatric Status Rating Scales, Quality of Life, Severity of Illness Index, Prevalence
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