The distribution of parent‐reported attention‐deficit/hyperactivity disorder and subclinical autistic traits in children with and without an ADHD diagnosis

Author:

Chau Tracey1ORCID,Tiego Jeggan1ORCID,Brown Louise E.2,Mellahn Olivia J.1ORCID,Johnson Beth P.1ORCID,Arnatkeviciute Aurina1ORCID,Fulcher Ben D.3ORCID,Matthews Natasha4ORCID,Bellgrove Mark A.1ORCID

Affiliation:

1. Turner Institute for Brain and Mental Health School of Psychological Sciences Monash University Clayton Victoria Australia

2. School of Nursing, Midwifery & Paramedicine Curtin University Bentley Western Australia Australia

3. School of Physics The University of Sydney Camperdown Western Australia Australia

4. School of Psychology The University of Queensland Saint Lucia Queensland Australia

Abstract

AbstractBackgroundAutistic traits are often reported to be elevated in children diagnosed with attention‐deficit/hyperactivity disorder (ADHD). However, the distribution of subclinical autistic traits in children with ADHD has not yet been established; knowing this may have important implications for diagnostic and intervention processes. The present study proposes a preliminary model of the distribution of parent‐reported ADHD and subclinical autistic traits in two independent samples of Australian children with and without an ADHD diagnosis.MethodsFactor mixture modelling was applied to Autism Quotient and Conners' Parent Rating Scale – Revised responses from parents of Australian children aged 6–15 years who participated in one of two independent studies.ResultsA 2‐factor, 2‐class factor mixture model with class varying factor variances and intercepts demonstrated the best fit to the data in both discovery and replication samples. The factors corresponded to the latent constructs of ‘autism’ and ‘ADHD’, respectively. Class 1 was characterised by low levels of both ADHD and autistic traits. Class 2 was characterised by high levels of ADHD traits and low‐to‐moderate levels of autistic traits. The classes were largely separated along diagnostic boundaries. The largest effect size for differences between classes on the Autism Quotient was on the Social Communication subscale.ConclusionsOur findings support the conceptualisation of ADHD as a continuum, whilst confirming the utility of current categorical diagnostic criteria. Results suggest that subclinical autistic traits, particularly in the social communication domain, are unevenly distributed across children with clinically significant levels of ADHD traits. These traits might be profitably screened for in assessments of children with high ADHD symptoms and may also represent useful targets for intervention.

Funder

National Health and Medical Research Council

Publisher

Wiley

Reference67 articles.

1. An update on the comorbidity of ADHD and ASD: a focus on clinical management

2. Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model;Asparouhov T.;Mplus Web Notes,2020

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