Incorporating autism traits into an anxiety and depression model results in improved fit and distinct factor structure for autistic youth / Craig RODRIGUEZ-SEIJAS ; Kenneth D. GADOW ; Matthew D. LERNER in Research in Autism Spectrum Disorders, 116 (August 2024)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 116 (August 2024) . - p.102413 Titre : Incorporating autism traits into an anxiety and depression model results in improved fit and distinct factor structure for autistic youth Type de document : Texte imprimé et/ou numérique Auteurs : Craig RODRIGUEZ-SEIJAS, Auteur ; Kenneth D. GADOW, Auteur ; Matthew D. LERNER, Auteur Article en page(s) : p.102413 Langues : Anglais (eng) Mots-clés : Autism  Comorbidity  Anxiety  Depression  Factor analysis  Co-occurring Index. décimale : PER Périodiques Résumé : Background The co-occurrence of anxiety and depression (AD+) in autism may be explained by a transdiagnostic internalizing symptom factor. Evidence regarding anxiety and/or depression symptoms in autism is mixed; some presentations conform to DSM criteria, whereas others reflect distinct, autism trait-relatedpresentation. Method The present study examined the extent to which autism traits relate to anxiety, depression, and AD+ in autism. Anxiety and depression symptoms were measured in autistic youth (ages 6-18) using a DSM rating scale. First, a confirmatory factor analysis (CFA) of anxiety and depression DSM symptoms was conducted. Next, to account for the relation of autism traits, these traits were included with anxiety and depression symptoms in a follow-up exploratory factor analysis (EFA). In addition, the inclusion of anxiety and depression symptoms, and allowing for their overlap, was consistent with a transdiagnostic conceptualization of these symptoms. Results and conclusions The CFA showed that the DSM model of depression and anxiety symptoms did not adequately fit the autistic participants. The EFA of anxiety, depression, and autism traits supported a model with three factors: Anxiety and Depression, Social Anxiety, and Autism. A subset of autism traits loaded onto the Anxiety and Depression and Social Anxiety factors. Both the DSM and the EFA model had inadequate fit indices, though the EFA showed better fit over the DSM model. In addition, previous research converges with the obtained EFA factors. Overall, the findings highlight the importance of modeling autism traits along with anxiety and depression when examining internalizing symptom structures in autism. En ligne : https://doi.org/10.1016/j.rasd.2024.102413 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=532 [article] Incorporating autism traits into an anxiety and depression model results in improved fit and distinct factor structure for autistic youth [Texte imprimé et/ou numérique] / Craig RODRIGUEZ-SEIJAS, Auteur ; Kenneth D. GADOW, Auteur ; Matthew D. LERNER, Auteur . - p.102413. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 116 (August 2024) . - p.102413 Mots-clés : Autism  Comorbidity  Anxiety  Depression  Factor analysis  Co-occurring Index. décimale : PER Périodiques Résumé : Background The co-occurrence of anxiety and depression (AD+) in autism may be explained by a transdiagnostic internalizing symptom factor. Evidence regarding anxiety and/or depression symptoms in autism is mixed; some presentations conform to DSM criteria, whereas others reflect distinct, autism trait-relatedpresentation. Method The present study examined the extent to which autism traits relate to anxiety, depression, and AD+ in autism. Anxiety and depression symptoms were measured in autistic youth (ages 6-18) using a DSM rating scale. First, a confirmatory factor analysis (CFA) of anxiety and depression DSM symptoms was conducted. Next, to account for the relation of autism traits, these traits were included with anxiety and depression symptoms in a follow-up exploratory factor analysis (EFA). In addition, the inclusion of anxiety and depression symptoms, and allowing for their overlap, was consistent with a transdiagnostic conceptualization of these symptoms. Results and conclusions The CFA showed that the DSM model of depression and anxiety symptoms did not adequately fit the autistic participants. The EFA of anxiety, depression, and autism traits supported a model with three factors: Anxiety and Depression, Social Anxiety, and Autism. A subset of autism traits loaded onto the Anxiety and Depression and Social Anxiety factors. Both the DSM and the EFA model had inadequate fit indices, though the EFA showed better fit over the DSM model. In addition, previous research converges with the obtained EFA factors. Overall, the findings highlight the importance of modeling autism traits along with anxiety and depression when examining internalizing symptom structures in autism. En ligne : https://doi.org/10.1016/j.rasd.2024.102413 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=532

Structural hierarchy of autism spectrum disorder symptoms: an integrative framework / Hyunsik KIM in Journal of Child Psychology and Psychiatry, 59-1 (January 2018)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 59-1 (January 2018) . - p.30-38 Titre : Structural hierarchy of autism spectrum disorder symptoms: an integrative framework Type de document : Texte imprimé et/ou numérique Auteurs : Hyunsik KIM, Auteur ; Cara M. KEIFER, Auteur ; Craig RODRIGUEZ-SEIJAS, Auteur ; Nicholas R. EATON, Auteur ; Matthew D. LERNER, Auteur ; Kenneth D. GADOW, Auteur Article en page(s) : p.30-38 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  classification  structural hierarchy  Child and Adolescent Symptom Inventory  bass-ackwards Index. décimale : PER Périodiques Résumé : Background In an attempt to resolve questions regarding the symptom classification of autism spectrum disorder (ASD), previous research generally aimed to demonstrate superiority of one model over another. Rather than adjudicating which model may be optimal, we propose an alternative approach that integrates competing models using Goldberg's bass-ackwards method, providing a comprehensive understanding of the underlying symptom structure of ASD. Methods The study sample comprised 3,825 individuals, consecutive referrals to a university hospital developmental disabilities specialty clinic or a child psychiatry outpatient clinic. This study analyzed DSM-IV-referenced ASD symptom statements from parent and teacher versions of the Child and Adolescent Symptom Inventory-4R. A series of exploratory structural equation models was conducted in order to produce interpretable latent factors that account for multivariate covariance. Results Results indicated that ASD symptoms were structured into an interpretable hierarchy across multiple informants. This hierarchy includes five levels; key features of ASD bifurcate into different constructs with increasing specificity. Conclusions This is the first study to examine an underlying structural hierarchy of ASD symptomatology using the bass-ackwards method. This hierarchy demonstrates how core features of ASD relate at differing levels of resolution, providing a model for conceptualizing ASD heterogeneity and a structure for integrating divergent theories of cognitive processes and behavioral features that define the disorder. These findings suggest that a more coherent and complete understanding of the structure of ASD symptoms may be reflected in a metastructure rather than at one level of resolution. En ligne : http://dx.doi.org/10.1111/jcpp.12698 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=327 [article] Structural hierarchy of autism spectrum disorder symptoms: an integrative framework [Texte imprimé et/ou numérique] / Hyunsik KIM, Auteur ; Cara M. KEIFER, Auteur ; Craig RODRIGUEZ-SEIJAS, Auteur ; Nicholas R. EATON, Auteur ; Matthew D. LERNER, Auteur ; Kenneth D. GADOW, Auteur . - p.30-38. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 59-1 (January 2018) . - p.30-38 Mots-clés : Autism spectrum disorder  classification  structural hierarchy  Child and Adolescent Symptom Inventory  bass-ackwards Index. décimale : PER Périodiques Résumé : Background In an attempt to resolve questions regarding the symptom classification of autism spectrum disorder (ASD), previous research generally aimed to demonstrate superiority of one model over another. Rather than adjudicating which model may be optimal, we propose an alternative approach that integrates competing models using Goldberg's bass-ackwards method, providing a comprehensive understanding of the underlying symptom structure of ASD. Methods The study sample comprised 3,825 individuals, consecutive referrals to a university hospital developmental disabilities specialty clinic or a child psychiatry outpatient clinic. This study analyzed DSM-IV-referenced ASD symptom statements from parent and teacher versions of the Child and Adolescent Symptom Inventory-4R. A series of exploratory structural equation models was conducted in order to produce interpretable latent factors that account for multivariate covariance. Results Results indicated that ASD symptoms were structured into an interpretable hierarchy across multiple informants. This hierarchy includes five levels; key features of ASD bifurcate into different constructs with increasing specificity. Conclusions This is the first study to examine an underlying structural hierarchy of ASD symptomatology using the bass-ackwards method. This hierarchy demonstrates how core features of ASD relate at differing levels of resolution, providing a model for conceptualizing ASD heterogeneity and a structure for integrating divergent theories of cognitive processes and behavioral features that define the disorder. These findings suggest that a more coherent and complete understanding of the structure of ASD symptoms may be reflected in a metastructure rather than at one level of resolution. En ligne : http://dx.doi.org/10.1111/jcpp.12698 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=327

A transdiagnostic model of psychiatric symptom co-occurrence and autism spectrum disorder / Craig RODRIGUEZ-SEIJAS in Autism Research, 13-4 (April 2020)  

Public ISBD [article]  inAutism Research > 13-4 (April 2020) . - p.579-590 Titre : A transdiagnostic model of psychiatric symptom co-occurrence and autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Craig RODRIGUEZ-SEIJAS, Auteur ; Kenneth D GADOW, Auteur ; Tamara E. ROSEN, Auteur ; Hyunsik KIM, Auteur ; Matthew D LERNER, Auteur ; Nicholas R. EATON, Auteur Article en page(s) : p.579-590 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  comorbidity  factorial invariance  transdiagnostic factors Index. décimale : PER Périodiques Résumé : Understanding whether the co-occurrence of psychiatric symptoms within autism spectrum disorder (ASD) are specific to the ASD diagnosis or reflect similar higher-order patterns observed in both ASD and non-ASD samples, or a confluence of the two, is of critical importance. If similar, it would suggest that comorbid psychiatric conditions among individuals with ASD are not symptoms of specific, non-ASD psychiatric disorders per se, but reflect a general liability to psychopathology associated with ASD. To this end, the current study examined whether the higher-order structure of co-occurring psychiatric symptoms was the same within ASD and non-ASD youth. Parents of clinic-referred youth with (n = 280) and without (n = 943) ASD completed a DSM-IV-referenced psychiatric symptom rating scale. A confirmatory factor analytic framework was used to examine four levels of measurement invariance across groups to determine the extent to which transdiagnostic factors were comparable. Transdiagnostic factors were characterized by symptoms of the same disorders (configural invariance) and the same factor loadings across groups (metric invariance). Furthermore, both groups evidenced equivalent numbers of symptoms of most psychiatric conditions with the notable exceptions of attention deficit hyperactivity disorder (ADHD) and social anxiety (partial strong invariance), which were higher in the ASD sample. It was concluded that disparities in the co-occurrence of psychiatric symptoms between youth with and without ASD may be largely reflective of transdiagnostic factor level differences associated with ASD and not indicative of the ASD diagnosis per se. However, for ADHD and social anxiety, there appears to be some specific associations with the ASD diagnosis. Autism Res 2020, 13: 579-590. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Few transdiagnostic dimensions relate common mental disorder diagnoses with one another. These dimensions explain psychiatric comorbidity (i.e., the finding that many persons possess several disorder diagnoses simultaneously). However, it is unclear if these dimensions differ among children with autism spectrum disorder (ASD), compared with their non-ASD counterparts. The results of this study demonstrate that underlying transdiagnostic dimensions are similar in both ASD and non-ASD children. However, there appear to be ASD-specific differences when it comes to social anxiety and attention deficit hyperactivity disorder. En ligne : http://dx.doi.org/10.1002/aur.2228 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=421 [article] A transdiagnostic model of psychiatric symptom co-occurrence and autism spectrum disorder [Texte imprimé et/ou numérique] / Craig RODRIGUEZ-SEIJAS, Auteur ; Kenneth D GADOW, Auteur ; Tamara E. ROSEN, Auteur ; Hyunsik KIM, Auteur ; Matthew D LERNER, Auteur ; Nicholas R. EATON, Auteur . - p.579-590. Langues : Anglais (eng) in Autism Research > 13-4 (April 2020) . - p.579-590 Mots-clés : autism spectrum disorder  comorbidity  factorial invariance  transdiagnostic factors Index. décimale : PER Périodiques Résumé : Understanding whether the co-occurrence of psychiatric symptoms within autism spectrum disorder (ASD) are specific to the ASD diagnosis or reflect similar higher-order patterns observed in both ASD and non-ASD samples, or a confluence of the two, is of critical importance. If similar, it would suggest that comorbid psychiatric conditions among individuals with ASD are not symptoms of specific, non-ASD psychiatric disorders per se, but reflect a general liability to psychopathology associated with ASD. To this end, the current study examined whether the higher-order structure of co-occurring psychiatric symptoms was the same within ASD and non-ASD youth. Parents of clinic-referred youth with (n = 280) and without (n = 943) ASD completed a DSM-IV-referenced psychiatric symptom rating scale. A confirmatory factor analytic framework was used to examine four levels of measurement invariance across groups to determine the extent to which transdiagnostic factors were comparable. Transdiagnostic factors were characterized by symptoms of the same disorders (configural invariance) and the same factor loadings across groups (metric invariance). Furthermore, both groups evidenced equivalent numbers of symptoms of most psychiatric conditions with the notable exceptions of attention deficit hyperactivity disorder (ADHD) and social anxiety (partial strong invariance), which were higher in the ASD sample. It was concluded that disparities in the co-occurrence of psychiatric symptoms between youth with and without ASD may be largely reflective of transdiagnostic factor level differences associated with ASD and not indicative of the ASD diagnosis per se. However, for ADHD and social anxiety, there appears to be some specific associations with the ASD diagnosis. Autism Res 2020, 13: 579-590. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Few transdiagnostic dimensions relate common mental disorder diagnoses with one another. These dimensions explain psychiatric comorbidity (i.e., the finding that many persons possess several disorder diagnoses simultaneously). However, it is unclear if these dimensions differ among children with autism spectrum disorder (ASD), compared with their non-ASD counterparts. The results of this study demonstrate that underlying transdiagnostic dimensions are similar in both ASD and non-ASD children. However, there appear to be ASD-specific differences when it comes to social anxiety and attention deficit hyperactivity disorder. En ligne : http://dx.doi.org/10.1002/aur.2228 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=421

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