Characterizing the ASD-ADHD phenotype: measurement structure and invariance in a clinical sample / Aneta D. KRAKOWSKI in Journal of Child Psychology and Psychiatry, 63-12 (December 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-12 (December 2022) . - p.1534-1543 Titre : Characterizing the ASD-ADHD phenotype: measurement structure and invariance in a clinical sample Type de document : Texte imprimé et/ou numérique Auteurs : Aneta D. KRAKOWSKI, Auteur ; Katherine Tombeau COST, Auteur ; Peter SZATMARI, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Jennifer CROSBIE, Auteur ; Russell SCHACHAR, Auteur ; Eric DUKU, Auteur ; Stelios GEORGIADES, Auteur ; Muhammad AYUB, Auteur ; Elizabeth KELLEY, Auteur ; Rob NICOLSON, Auteur ; Eleanor PULLENAYEGUM, Auteur ; Carolina BARNETT-TAPIA, Auteur Article en page(s) : p.1534-1543 Langues : Anglais (eng) Mots-clés : Humans  Attention Deficit Disorder with Hyperactivity/diagnosis/genetics  Autism Spectrum Disorder/diagnosis  Parents  Phenotype  Surveys and Questionnaires  Adhd  Asd  factor analysis  measurement invariance  measurement structure Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1111/jcpp.13609 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 [article] Characterizing the ASD-ADHD phenotype: measurement structure and invariance in a clinical sample [Texte imprimé et/ou numérique] / Aneta D. KRAKOWSKI, Auteur ; Katherine Tombeau COST, Auteur ; Peter SZATMARI, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Jennifer CROSBIE, Auteur ; Russell SCHACHAR, Auteur ; Eric DUKU, Auteur ; Stelios GEORGIADES, Auteur ; Muhammad AYUB, Auteur ; Elizabeth KELLEY, Auteur ; Rob NICOLSON, Auteur ; Eleanor PULLENAYEGUM, Auteur ; Carolina BARNETT-TAPIA, Auteur . - p.1534-1543. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-12 (December 2022) . - p.1534-1543 Mots-clés : Humans  Attention Deficit Disorder with Hyperactivity/diagnosis/genetics  Autism Spectrum Disorder/diagnosis  Parents  Phenotype  Surveys and Questionnaires  Adhd  Asd  factor analysis  measurement invariance  measurement structure Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1111/jcpp.13609 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490

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