Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training / Vera 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 Auteurs : Vera DEKKER, Auteur ; Maaike H. NAUTA, Auteur ; Marieke E. TIMMERMAN, Auteur ; Erik J. MULDER, Auteur ; Pieter 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] / Vera DEKKER, Auteur ; Maaike H. NAUTA, Auteur ; Marieke E. TIMMERMAN, Auteur ; Erik J. MULDER, Auteur ; Pieter 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

A Fresh Pair of Eyes: A Blind Observation Method for Evaluating Social Skills of Children with ASD in a Naturalistic Peer Situation in School / Vera DEKKER in Journal of Autism and Developmental Disorders, 46-9 (September 2016)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 46-9 (September 2016) . - p.2890-2904 Titre : A Fresh Pair of Eyes: A Blind Observation Method for Evaluating Social Skills of Children with ASD in a Naturalistic Peer Situation in School Type de document : texte imprimé Auteurs : Vera DEKKER, Auteur ; Maaike H. NAUTA, Auteur ; Erik J. MULDER, Auteur ; Sjoerd SYTEMA, Auteur ; Annelies A. DE BILDT, Auteur Article en page(s) : p.2890-2904 Langues : Anglais (eng) Mots-clés : Social skills  Direct observation  ASD  Reliability  Validity  Outcome measure Index. décimale : PER Périodiques Résumé : The Social skills Observation Measure (SOM) is a direct observation method for social skills used in naturalistic everyday situations in school. This study describes the development of the SOM and investigates its psychometric properties in 86 children with Autism spectrum disorder, aged 9.8–13.1 years. The interrater reliability was found to be good to excellent. The convergent validity was low in relation to parent and teacher reports of social skills, and also to parent interview on adaptive social functioning. Therefore this direct observation seems to provide additional information on the frequency and quality of social behaviors in daily life situations. As such it contributes to parent and teacher information as a blind measurement to evaluate Social Skills Training. En ligne : http://dx.doi.org/10.1007/s10803-016-2829-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=292 [article] A Fresh Pair of Eyes: A Blind Observation Method for Evaluating Social Skills of Children with ASD in a Naturalistic Peer Situation in School [texte imprimé] / Vera DEKKER, Auteur ; Maaike H. NAUTA, Auteur ; Erik J. MULDER, Auteur ; Sjoerd SYTEMA, Auteur ; Annelies A. DE BILDT, Auteur . - p.2890-2904. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 46-9 (September 2016) . - p.2890-2904 Mots-clés : Social skills  Direct observation  ASD  Reliability  Validity  Outcome measure Index. décimale : PER Périodiques Résumé : The Social skills Observation Measure (SOM) is a direct observation method for social skills used in naturalistic everyday situations in school. This study describes the development of the SOM and investigates its psychometric properties in 86 children with Autism spectrum disorder, aged 9.8–13.1 years. The interrater reliability was found to be good to excellent. The convergent validity was low in relation to parent and teacher reports of social skills, and also to parent interview on adaptive social functioning. Therefore this direct observation seems to provide additional information on the frequency and quality of social behaviors in daily life situations. As such it contributes to parent and teacher information as a blind measurement to evaluate Social Skills Training. En ligne : http://dx.doi.org/10.1007/s10803-016-2829-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=292

How to Use the ADI-R for Classifying Autism Spectrum Disorders? Psychometric Properties of Criteria from the Literature in 1,204 Dutch Children / Annelies A. DE BILDT in Journal of Autism and Developmental Disorders, 43-10 (October 2013)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 43-10 (October 2013) . - p.2280-2294 Titre : How to Use the ADI-R for Classifying Autism Spectrum Disorders? Psychometric Properties of Criteria from the Literature in 1,204 Dutch Children Type de document : texte imprimé Auteurs : Annelies A. DE BILDT, Auteur ; Iris J. OOSTERLING, Auteur ; Natasja D.J. LANG, Auteur ; Sanne KUIJPER, Auteur ; Vera DEKKER, Auteur ; Sjoerd SYTEMA, Auteur ; Anoek M. OERLEMANS, Auteur ; Daphne J. STEIJN, Auteur ; Janne C. VISSER, Auteur ; Nanda N. ROMMELSE, Auteur ; Ruud B. MINDERAA, Auteur ; Herman VAN ENGELAND, Auteur ; Rutger Jan VAN DER GAAG, Auteur ; Jan K. BUITELAAR, Auteur ; Maretha V. DE JONGE, Auteur Article en page(s) : p.2280-2294 Langues : Anglais (eng) Mots-clés : ADI-R  Autism  ASD  Diagnosis  Classification  Validity Index. décimale : PER Périodiques Résumé : The algorithm of the Autism Diagnostic Interview-Revised provides criteria for autism versus non-autism according to DSM-IV. Criteria for the broader autism spectrum disorders are needed. This study investigated the validity of seven sets of criteria from the literature, in 1,204 Dutch children (aged 3–18 years) with and without mental retardation. The original criteria (Rutter et al. in ADI-R Autism Diagnostic Interview Revised. Manual. Western Psychological Services, Los Angeles, 2003) well discriminated ASD from non-ASD in MR. All other criteria (IMGSAC in Am Soc Hum Genet 69:570–581 2001; Sung et al. in Am J Hum Genet 76: 68–81, 2005; Risi et al. in J Am Acad Child Adolesc Psychiatry 45: 1094–1103, 2006) were sensitive at the cost of specificity, bearing the risk of overinclusiveness. In the group without MR, clinicians should decide whether sensitivity or specificity is aimed for, to choose the appropriate criteria. Including the Autism Diagnostic Observation Schedule revised algorithms in the classification, the specificity increases, at the cost of sensitivity. This study adds to a more valid judgment on which criteria to use for specific objectives. En ligne : http://dx.doi.org/10.1007/s10803-013-1783-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=215 [article] How to Use the ADI-R for Classifying Autism Spectrum Disorders? Psychometric Properties of Criteria from the Literature in 1,204 Dutch Children [texte imprimé] / Annelies A. DE BILDT, Auteur ; Iris J. OOSTERLING, Auteur ; Natasja D.J. LANG, Auteur ; Sanne KUIJPER, Auteur ; Vera DEKKER, Auteur ; Sjoerd SYTEMA, Auteur ; Anoek M. OERLEMANS, Auteur ; Daphne J. STEIJN, Auteur ; Janne C. VISSER, Auteur ; Nanda N. ROMMELSE, Auteur ; Ruud B. MINDERAA, Auteur ; Herman VAN ENGELAND, Auteur ; Rutger Jan VAN DER GAAG, Auteur ; Jan K. BUITELAAR, Auteur ; Maretha V. DE JONGE, Auteur . - p.2280-2294. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 43-10 (October 2013) . - p.2280-2294 Mots-clés : ADI-R  Autism  ASD  Diagnosis  Classification  Validity Index. décimale : PER Périodiques Résumé : The algorithm of the Autism Diagnostic Interview-Revised provides criteria for autism versus non-autism according to DSM-IV. Criteria for the broader autism spectrum disorders are needed. This study investigated the validity of seven sets of criteria from the literature, in 1,204 Dutch children (aged 3–18 years) with and without mental retardation. The original criteria (Rutter et al. in ADI-R Autism Diagnostic Interview Revised. Manual. Western Psychological Services, Los Angeles, 2003) well discriminated ASD from non-ASD in MR. All other criteria (IMGSAC in Am Soc Hum Genet 69:570–581 2001; Sung et al. in Am J Hum Genet 76: 68–81, 2005; Risi et al. in J Am Acad Child Adolesc Psychiatry 45: 1094–1103, 2006) were sensitive at the cost of specificity, bearing the risk of overinclusiveness. In the group without MR, clinicians should decide whether sensitivity or specificity is aimed for, to choose the appropriate criteria. Including the Autism Diagnostic Observation Schedule revised algorithms in the classification, the specificity increases, at the cost of sensitivity. This study adds to a more valid judgment on which criteria to use for specific objectives. En ligne : http://dx.doi.org/10.1007/s10803-013-1783-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=215

Network Analysis of Anxiety in the Autism Realm / Farhad 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 Auteurs : Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; Vera 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] / Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; Vera 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

Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications / Farhad MONTAZERI in Journal of Autism and Developmental Disorders, 50-5 (May 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-5 (May 2020) . - p.1580-1595 Titre : Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications Type de document : texte imprimé Auteurs : Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; Vera DEKKER, Auteur ; George M. ANDERSON, Auteur Article en page(s) : p.1580-1595 Langues : Anglais (eng) Mots-clés : Anxiety  Autism spectrum disorder  Clustering analysis  Depression  Gaussian graphical modeling  Module preservation analysis  Network analysis Index. décimale : PER Périodiques Résumé : Depression-, anxiety-, OCD- and autism-related behaviors were assessed in 118 high-functioning individuals with autism spectrum disorders (ASD) and in 2016 controls. The ASD group had a higher rate of clinical depression and markedly higher "insomnia" and "restlessness" scores. Network analysis and hierarchical cluster analysis in the ASD group revealed that depression and anxiety items clustered together, but separately from autism-related items. Compared to controls, "insomnia" and "restlessness" items in the ASD network of depression items were much more central (higher closeness, and betweenness centrality). Combined networks of depression-, anxiety-, and OCD-related items revealed that the control group depression item module was not preserved in ASD. The results indicate that depression is atypical in autism and suggest specific intervention targets. En ligne : http://dx.doi.org/10.1007/s10803-019-03914-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=422 [article] Network Analysis of Behaviors in the Depression and Autism Realms: Inter-Relationships and Clinical Implications [texte imprimé] / Farhad MONTAZERI, Auteur ; Annelies A. DE BILDT, Auteur ; Vera DEKKER, Auteur ; George M. ANDERSON, Auteur . - p.1580-1595. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-5 (May 2020) . - p.1580-1595 Mots-clés : Anxiety  Autism spectrum disorder  Clustering analysis  Depression  Gaussian graphical modeling  Module preservation analysis  Network analysis Index. décimale : PER Périodiques Résumé : Depression-, anxiety-, OCD- and autism-related behaviors were assessed in 118 high-functioning individuals with autism spectrum disorders (ASD) and in 2016 controls. The ASD group had a higher rate of clinical depression and markedly higher "insomnia" and "restlessness" scores. Network analysis and hierarchical cluster analysis in the ASD group revealed that depression and anxiety items clustered together, but separately from autism-related items. Compared to controls, "insomnia" and "restlessness" items in the ASD network of depression items were much more central (higher closeness, and betweenness centrality). Combined networks of depression-, anxiety-, and OCD-related items revealed that the control group depression item module was not preserved in ASD. The results indicate that depression is atypical in autism and suggest specific intervention targets. En ligne : http://dx.doi.org/10.1007/s10803-019-03914-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=422

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