Evidence map›Paper›PMID 42287521›Full record

ArticleJournal of autism and developmental disorders2026

Cognitive, Behavioural and Communication Correlates of Dysregulation in Australian Autistic Preschoolers.

Weng Tong Wu, James Rufus John, Antonio Mendoza Diaz, Cheryl Dissanayake, Valsamma Eapen

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Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

5 authors.

Weng Tong Wu *School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia.
James Rufus John *School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia.
Antonio Mendoza DiazTasmanian Centre for Mental Health Service Innovation, Tasmanian Health Service, Hobart, TAS, Australia.
Cheryl DissanayakeOlga Tennison Autism Research Centre, La Trobe University, Victoria, Australia.
Valsamma EapenSchool of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia. v.eapen@unsw.edu.au.ORCID http://orcid.org/0000-0001-6296-8306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigated whether cognitive, behavioural, and communication differences are associated with emotional dysregulation among preschool-aged autistic children in Australia.

methodsSecondary data analysis was undertaken in a sample of autistic preschool children as part of the Autism Subtyping Project, receiving early intensive intervention in six Autism Specific Early Learning and Care Centres (ASELCCs) across the six states in Australia. Multilevel multivariable logistic regression analyses were used to determine associations between sociodemographic factors, autistic traits (adjusted for sociodemographic covariates), and their dysregulation profile. Further, multivariable linear regression analyses were conducted to determine whether dysregulation profile was a significant predictor of changes in autistic traits following intervention.

resultsAmong the sample of 415 children, 43% (n = 180) of the sample were classified as having a dysregulation profile (DP). Findings from the regression analyses showed that children with higher social communication (AOR 1.11, 95% CI: 1.05, 1.17) and repetitive behavioural (AOR 1.09, 95% CI: 1.06, 1.12) differences at baseline were associated with higher odds of having a DP. Key sociodemographic covariates including older age was associated with higher odds of having a DP whereas being from a culturally and linguistically diverse background and having a higher annual family income had protective effect on DP. Further, DP scores at baseline were not predictive of changes in social communication, repetitive behaviours, or cognitive functioning following receipt of EII.

conclusionThe study findings suggest screening for DP among autistic preschool children may lead to early identification and intervention of a discrete pattern of behavioural difficulties.

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AutismComorbid behavioursDysregulationPreschoolTreatment outcome

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