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Characterizing the ASD-ADHD phenotype: measurement structure and invariance in a clinical sample.
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.
Afiliação
  • Krakowski AD; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Cost KT; Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada.
  • Szatmari P; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Anagnostou E; Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada.
  • Crosbie J; Centre for Addiction and Mental Health, Toronto, ON, Canada.
  • Schachar R; Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
  • Duku E; Department of Pediatrics, University of Toronto, Toronto, ON, Canada.
  • Georgiades S; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Ayub M; Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada.
  • Kelley E; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Nicolson R; Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada.
  • Pullenayegum E; Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
  • Barnett-Tapia C; Offord Centre for Child Studies, McMaster Children's Hospital and McMaster University, Hamilton, ON, Canada.
J Child Psychol Psychiatry ; 63(12): 1534-1543, 2022 12.
Article em En | MEDLINE | ID: mdl-35342939
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 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno do Deficit de Atenção com Hiperatividade / Transtorno do Espectro Autista Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: J Child Psychol Psychiatry Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno do Deficit de Atenção com Hiperatividade / Transtorno do Espectro Autista Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: J Child Psychol Psychiatry Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá