Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training / V. DEKKER in Journal of Autism and Developmental Disorders, 51-6 (June 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-6 (June 2021) . - p.2004-2018 Titre : Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training Type de document : Texte imprimé et/ou numérique Auteurs : V. DEKKER, Auteur ; M. H. NAUTA, Auteur ; M. E. TIMMERMAN, Auteur ; E. J. MULDER, Auteur ; P. J. HOEKSTRA, Auteur ; Annelies A. DE BILDT, Auteur Article en page(s) : p.2004-2018 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/therapy  Child  Communication  Female  Humans  Latent Class Analysis  Male  Parents  Social Skills  Autism spectrum disorder  Participant and intervention characteristics  Randomized controlled trial  Social skills training  for Health Research and Development  ZonMw, nr 157003005). The agency had no role in  data analyses, the decision to publish, or the preparation of the manuscript. She  also is first author on the Dutch ADOS manual for which Accare receives enumeration.  The other authors declare that they have no conflict of interest. Index. décimale : PER Périodiques Résumé : With Latent Class Analysis applied on data of 98 children with autism spectrum disorder (ASD) (9-12 years; 17 girls) participating in social skills training (SST) in a randomized controlled trial (Dekker et al. 2019), four subgroups were detected, based on social-communicative skills before, and response patterns to training. Two subgroups improved after SST. Characterizing the subgroups based on participant and intervention characteristics showed that improvement was related to lower parent-reported perceived difficulty of social-communicative skills at start, higher verbal ability, younger age and milder symptoms of ASD and anxiety. The lowest performing non-improving subgroup participated more often in SST without parent/teacher involvement, compared to all other subgroups. Response to SST in ASD seems to vary depending on participant characteristics. En ligne : http://dx.doi.org/10.1007/s10803-020-04678-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452 [article] Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training [Texte imprimé et/ou numérique] / V. DEKKER, Auteur ; M. H. NAUTA, Auteur ; M. E. TIMMERMAN, Auteur ; E. J. MULDER, Auteur ; P. J. HOEKSTRA, Auteur ; Annelies A. DE BILDT, Auteur . - p.2004-2018. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-6 (June 2021) . - p.2004-2018 Mots-clés : Autism Spectrum Disorder/therapy  Child  Communication  Female  Humans  Latent Class Analysis  Male  Parents  Social Skills  Autism spectrum disorder  Participant and intervention characteristics  Randomized controlled trial  Social skills training  for Health Research and Development  ZonMw, nr 157003005). The agency had no role in  data analyses, the decision to publish, or the preparation of the manuscript. She  also is first author on the Dutch ADOS manual for which Accare receives enumeration.  The other authors declare that they have no conflict of interest. Index. décimale : PER Périodiques Résumé : With Latent Class Analysis applied on data of 98 children with autism spectrum disorder (ASD) (9-12 years; 17 girls) participating in social skills training (SST) in a randomized controlled trial (Dekker et al. 2019), four subgroups were detected, based on social-communicative skills before, and response patterns to training. Two subgroups improved after SST. Characterizing the subgroups based on participant and intervention characteristics showed that improvement was related to lower parent-reported perceived difficulty of social-communicative skills at start, higher verbal ability, younger age and milder symptoms of ASD and anxiety. The lowest performing non-improving subgroup participated more often in SST without parent/teacher involvement, compared to all other subgroups. Response to SST in ASD seems to vary depending on participant characteristics. En ligne : http://dx.doi.org/10.1007/s10803-020-04678-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=452

Network Analysis of Anxiety in the Autism Realm / F. MONTAZERI in Journal of Autism and Developmental Disorders, 49-6 (June 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-6 (June 2019) . - p.2219-2230 Titre : Network Analysis of Anxiety in the Autism Realm Type de document : Texte imprimé et/ou numérique Auteurs : F. MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; V. DEKKER, Auteur ; George M. ANDERSON, Auteur Article en page(s) : p.2219-2230 Langues : Anglais (eng) Mots-clés : ADOS item scores  Anxiety  Autism Diagnostic Observation Schedule  Behavior  Network analysis  Revised Children's Anxiety and Depression Scale Index. décimale : PER Périodiques Résumé : The anxiety and autism realms are each complicated and heterogeneous, and relationships between the two areas are especially complex. Network analysis offers a promising approach to the phenotypic complexities of typical and atypical human behavior. The Revised Children's Anxiety and Depression Scale (RCADS) was used to assess anxiety in 126 high-functioning 9-13 year-olds with ASDs. Network graphs of Autism Diagnostic Observation Schedule items and RCADS anxiety total score, social, generalized, panic and separation anxiety subscores consistently found the anxiety node (score) to be highly peripheral. Also, the networks of RCADS anxiety items themselves were similar for the ASDs group and a general population comparison group (n = 2017). The results suggest anxiety is not a central part of autism and that anxiety is dynamically similar (aspects of anxiety relate to one another in a similar manner) in high-functioning autism and the general population. En ligne : https://dx.doi.org/10.1007/s10803-018-3474-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=400 [article] Network Analysis of Anxiety in the Autism Realm [Texte imprimé et/ou numérique] / F. MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; V. DEKKER, Auteur ; George M. ANDERSON, Auteur . - p.2219-2230. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-6 (June 2019) . - p.2219-2230 Mots-clés : ADOS item scores  Anxiety  Autism Diagnostic Observation Schedule  Behavior  Network analysis  Revised Children's Anxiety and Depression Scale Index. décimale : PER Périodiques Résumé : The anxiety and autism realms are each complicated and heterogeneous, and relationships between the two areas are especially complex. Network analysis offers a promising approach to the phenotypic complexities of typical and atypical human behavior. The Revised Children's Anxiety and Depression Scale (RCADS) was used to assess anxiety in 126 high-functioning 9-13 year-olds with ASDs. Network graphs of Autism Diagnostic Observation Schedule items and RCADS anxiety total score, social, generalized, panic and separation anxiety subscores consistently found the anxiety node (score) to be highly peripheral. Also, the networks of RCADS anxiety items themselves were similar for the ASDs group and a general population comparison group (n = 2017). The results suggest anxiety is not a central part of autism and that anxiety is dynamically similar (aspects of anxiety relate to one another in a similar manner) in high-functioning autism and the general population. En ligne : https://dx.doi.org/10.1007/s10803-018-3474-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=400

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