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

Educators Describe the "Best Things" About Students with Autism at School / Anat ZAIDMAN-ZAIT ; Katherine Tombeau COST ; Isabel M. SMITH ; Lonnie ZWAIGENBAUM ; Eric DUKU ; Connor KERNS ; Stelios GEORGIADES ; Tracy VAILLANCOURT ; Mayada ELSABBAGH ; Teresa BENNETT ; Peter SZATMARI in Journal of Autism and Developmental Disorders, 54-1 (January 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-1 (January 2024) . - p.1-17 Titre : Educators Describe the "Best Things" About Students with Autism at School Type de document : Texte imprimé et/ou numérique Auteurs : Anat ZAIDMAN-ZAIT, Auteur ; Katherine Tombeau COST, Auteur ; Isabel M. SMITH, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Eric DUKU, Auteur ; Connor KERNS, Auteur ; Stelios GEORGIADES, Auteur ; Tracy VAILLANCOURT, Auteur ; Mayada ELSABBAGH, Auteur ; Teresa BENNETT, Auteur ; Peter SZATMARI, Auteur Année de publication : 2024 Article en page(s) : p.1-17 Langues : Français (fre) Index. décimale : PER Périodiques Résumé : This study examined educators? descriptions of the positive character traits of students with autism spectrum disorder at ages 7?8 and 10?11, using an adapted version of the Values in Action (VIA) Classification of Strengths. The most commonly endorsed strengths at both age intervals were kindness, specific skills, self-regulation, and perseverance. Higher scores for challenging behavior were associated with a lower likelihood of endorsement for Happiness and Courage traits. Higher autism symptom severity scores were associated with a lower likelihood of endorsement for Courage traits. Few significant differences were found for endorsement of trait categories by students? educational placement or the type of curriculum they received. Results may have implications for student-teacher relationships, educational assessments, and school-based interventions that emphasize strengths and resilience. En ligne : https://doi.org/10.1007/s10803-022-05761-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519 [article] Educators Describe the "Best Things" About Students with Autism at School [Texte imprimé et/ou numérique] / Anat ZAIDMAN-ZAIT, Auteur ; Katherine Tombeau COST, Auteur ; Isabel M. SMITH, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Eric DUKU, Auteur ; Connor KERNS, Auteur ; Stelios GEORGIADES, Auteur ; Tracy VAILLANCOURT, Auteur ; Mayada ELSABBAGH, Auteur ; Teresa BENNETT, Auteur ; Peter SZATMARI, Auteur . - 2024 . - p.1-17. Langues : Français (fre) in Journal of Autism and Developmental Disorders > 54-1 (January 2024) . - p.1-17 Index. décimale : PER Périodiques Résumé : This study examined educators? descriptions of the positive character traits of students with autism spectrum disorder at ages 7?8 and 10?11, using an adapted version of the Values in Action (VIA) Classification of Strengths. The most commonly endorsed strengths at both age intervals were kindness, specific skills, self-regulation, and perseverance. Higher scores for challenging behavior were associated with a lower likelihood of endorsement for Happiness and Courage traits. Higher autism symptom severity scores were associated with a lower likelihood of endorsement for Courage traits. Few significant differences were found for endorsement of trait categories by students? educational placement or the type of curriculum they received. Results may have implications for student-teacher relationships, educational assessments, and school-based interventions that emphasize strengths and resilience. En ligne : https://doi.org/10.1007/s10803-022-05761-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519

Inattention and hyperactive/impulsive component scores do not differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder in a clinical sample / Aneta D. KRAKOWSKI in Molecular Autism, 11 (2020)  

Public ISBD [article]  inMolecular Autism > 11 (2020) . - 28 p. Titre : Inattention and hyperactive/impulsive component scores do not differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder in a clinical sample Type de document : Texte imprimé et/ou numérique Auteurs : Aneta D. KRAKOWSKI, Auteur ; Katherine Tombeau COST, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Meng-Chuan LAI, Auteur ; Jennifer CROSBIE, Auteur ; Russell SCHACHAR, Auteur ; Stelios GEORGIADES, Auteur ; Eric DUKU, Auteur ; Peter SZATMARI, Auteur Année de publication : 2020 Article en page(s) : 28 p. Langues : Anglais (eng) Mots-clés : adhd  asd  Co-morbidity  Gender  Principle component analysis  Symptoms  scientific advisory board for ehave (psychological software company). RS also has  equity in ehave. EA has received consultation fees from Roche and Takeda, royalties  from APPI and Springer, and funding from SynapDx and Sanofi-Aventis. PS has received  royalties from Guilford Press. AK, KTC, MCL, JC, ED, and SG have no conflicts of  interest to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Although there is high co-occurrence between ASD and ADHD, the nature of this co-occurrence remains unclear. Our study aimed to examine the underlying relationship between ASD and ADHD symptoms in a combined sample of children with a primary clinical diagnosis of ASD or ADHD. METHODS: Participants included children and youth (aged 3-20?years) with a clinical diagnosis of ASD (n = 303) or ADHD (n = 319) for a total of 622 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 behavior (SWAN) questionnaire, a measure of ADHD symptoms. A principal component analysis (PCA) was performed on combined SCQ and SWAN items, followed by a profile analysis comparing normalized component scores between diagnostic groups and gender. RESULTS: PCA revealed a four-component solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviors, and interests (RRBI)), with no overlap between SCQ and SWAN items in the components. Children with ASD had higher component scores in social-communication and RRBI than children with ADHD, while there was no difference in inattentive and hyperactive/impulsive scores between diagnostic groups. Males had higher scores than females in social-communication, RRBI, and hyperactivity/impulsivity components in each diagnostic group. LIMITATIONS: We did not formally assess children with ASD for ADHD using our research-criteria for ADHD, and vice versa. High rates of co-occurring ADHD in ASD, for example, may have inflated component scores in inattention and hyperactivity/impulsivity. A disadvantage with using single informant-based reports (i.e., parent-rated questionnaires) is that ASD and ADHD symptoms may be difficult to distinguish by parents, and may be interpreted differently between parents and clinicians. CONCLUSIONS: ASD and ADHD items loaded on separate components in our sample, suggesting that the measurement structure cannot explain the covariation between the two disorders in clinical samples. High levels of inattention and hyperactivity/impulsivity were seen in both ASD and ADHD in our clinical sample. This supports the need for a dimensional framework that examines neurodevelopmental domains across traditional diagnostic boundaries. Females also had lower component scores across social-communication, RRBI, and hyperactivity/impulsivity than males, suggesting that there may be gender-specific phenotypes related to the two conditions. En ligne : http://dx.doi.org/10.1186/s13229-020-00338-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427 [article] Inattention and hyperactive/impulsive component scores do not differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder in a clinical sample [Texte imprimé et/ou numérique] / Aneta D. KRAKOWSKI, Auteur ; Katherine Tombeau COST, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Meng-Chuan LAI, Auteur ; Jennifer CROSBIE, Auteur ; Russell SCHACHAR, Auteur ; Stelios GEORGIADES, Auteur ; Eric DUKU, Auteur ; Peter SZATMARI, Auteur . - 2020 . - 28 p. Langues : Anglais (eng) in Molecular Autism > 11 (2020) . - 28 p. Mots-clés : adhd  asd  Co-morbidity  Gender  Principle component analysis  Symptoms  scientific advisory board for ehave (psychological software company). RS also has  equity in ehave. EA has received consultation fees from Roche and Takeda, royalties  from APPI and Springer, and funding from SynapDx and Sanofi-Aventis. PS has received  royalties from Guilford Press. AK, KTC, MCL, JC, ED, and SG have no conflicts of  interest to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Although there is high co-occurrence between ASD and ADHD, the nature of this co-occurrence remains unclear. Our study aimed to examine the underlying relationship between ASD and ADHD symptoms in a combined sample of children with a primary clinical diagnosis of ASD or ADHD. METHODS: Participants included children and youth (aged 3-20?years) with a clinical diagnosis of ASD (n = 303) or ADHD (n = 319) for a total of 622 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 behavior (SWAN) questionnaire, a measure of ADHD symptoms. A principal component analysis (PCA) was performed on combined SCQ and SWAN items, followed by a profile analysis comparing normalized component scores between diagnostic groups and gender. RESULTS: PCA revealed a four-component solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviors, and interests (RRBI)), with no overlap between SCQ and SWAN items in the components. Children with ASD had higher component scores in social-communication and RRBI than children with ADHD, while there was no difference in inattentive and hyperactive/impulsive scores between diagnostic groups. Males had higher scores than females in social-communication, RRBI, and hyperactivity/impulsivity components in each diagnostic group. LIMITATIONS: We did not formally assess children with ASD for ADHD using our research-criteria for ADHD, and vice versa. High rates of co-occurring ADHD in ASD, for example, may have inflated component scores in inattention and hyperactivity/impulsivity. A disadvantage with using single informant-based reports (i.e., parent-rated questionnaires) is that ASD and ADHD symptoms may be difficult to distinguish by parents, and may be interpreted differently between parents and clinicians. CONCLUSIONS: ASD and ADHD items loaded on separate components in our sample, suggesting that the measurement structure cannot explain the covariation between the two disorders in clinical samples. High levels of inattention and hyperactivity/impulsivity were seen in both ASD and ADHD in our clinical sample. This supports the need for a dimensional framework that examines neurodevelopmental domains across traditional diagnostic boundaries. Females also had lower component scores across social-communication, RRBI, and hyperactivity/impulsivity than males, suggesting that there may be gender-specific phenotypes related to the two conditions. En ligne : http://dx.doi.org/10.1186/s13229-020-00338-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=427

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