Characterizing the ASD–ADHD phenotype: measurement structure and invariance in a clinical sample. (27th March 2022)
- Record Type:
- Journal Article
- Title:
- Characterizing the ASD–ADHD phenotype: measurement structure and invariance in a clinical sample. (27th March 2022)
- Main Title:
- Characterizing the ASD–ADHD phenotype: measurement structure and invariance in a clinical sample
- Authors:
- Krakowski, Aneta D.
Cost, Katherine Tombeau
Szatmari, Peter
Anagnostou, Evdokia
Crosbie, Jennifer
Schachar, Russell
Duku, Eric
Georgiades, Stelios
Ayub, Muhammad
Kelley, Elizabeth
Nicolson, Rob
Pullenayegum, Eleanor
Barnett‐Tapia, Carolina - Abstract:
- Abstract : Background: Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) have considerable overlap, supporting the need for a dimensional framework that examines neurodevelopmental domains which cross traditional diagnostic boundaries. In the following study, we use factor analysis to deconstruct the ASD–ADHD phenotype into its underlying phenotypic domains and test for measurement invariance across adaptive functioning, age, gender and ASD/ADHD clinical diagnoses. Methods: Participants included children and youth (aged 3–20 years) with a clinical diagnosis of ASD ( n = 727) or ADHD ( n = 770) for a total of 1, 497 participants. Parents of these children completed the Social Communication Questionnaire (SCQ), a measure of autism symptoms, and the Strengths and Weaknesses of ADHD and Normal Behaviour (SWAN) questionnaire, a measure of ADHD symptoms. An exploratory factor analysis (EFA) was performed on combined SCQ and SWAN items. This was followed by a confirmatory factor analysis (CFA) and tests of measurement invariance. Results: EFA revealed a four‐factor solution (inattention, hyperactivity/impulsivity, social‐communication, and restricted, repetitive, behaviours and interests (RRBI)) and a CFA confirmed good model fit. This solution also showed good model fit across subgroups of interest. Conclusions: Our study shows that a combined ASD–ADHD phenotype is characterized by two latent ASD domains (social communication and RRBIs) and twoAbstract : Background: Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) have considerable overlap, supporting the need for a dimensional framework that examines neurodevelopmental domains which cross traditional diagnostic boundaries. In the following study, we use factor analysis to deconstruct the ASD–ADHD phenotype into its underlying phenotypic domains and test for measurement invariance across adaptive functioning, age, gender and ASD/ADHD clinical diagnoses. Methods: Participants included children and youth (aged 3–20 years) with a clinical diagnosis of ASD ( n = 727) or ADHD ( n = 770) for a total of 1, 497 participants. Parents of these children completed the Social Communication Questionnaire (SCQ), a measure of autism symptoms, and the Strengths and Weaknesses of ADHD and Normal Behaviour (SWAN) questionnaire, a measure of ADHD symptoms. An exploratory factor analysis (EFA) was performed on combined SCQ and SWAN items. This was followed by a confirmatory factor analysis (CFA) and tests of measurement invariance. Results: EFA revealed a four‐factor solution (inattention, hyperactivity/impulsivity, social‐communication, and restricted, repetitive, behaviours and interests (RRBI)) and a CFA confirmed good model fit. This solution also showed good model fit across subgroups of interest. Conclusions: Our study shows that a combined ASD–ADHD phenotype is characterized by two latent ASD domains (social communication and RRBIs) and two latent ADHD domains (inattention and hyperactivity/impulsivity). We established measurement invariance of the derived measurement model across adaptive functioning, age, gender and ASD/ADHD diagnoses. … (more)
- Is Part Of:
- Journal of child psychology and psychiatry and allied disciplines. Volume 63:Number 12(2022)
- Journal:
- Journal of child psychology and psychiatry and allied disciplines
- Issue:
- Volume 63:Number 12(2022)
- Issue Display:
- Volume 63, Issue 12 (2022)
- Year:
- 2022
- Volume:
- 63
- Issue:
- 12
- Issue Sort Value:
- 2022-0063-0012-0000
- Page Start:
- 1534
- Page End:
- 1543
- Publication Date:
- 2022-03-27
- Subjects:
- ASD -- ADHD -- factor analysis -- measurement structure -- measurement invariance
Child psychology -- Periodicals
Child psychiatry -- Periodicals
155.4 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1111/jcpp.13609 ↗
- Languages:
- English
- ISSNs:
- 0021-9630
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4957.800000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24363.xml