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Assessing the heterogeneity of autism spectrum symptoms in a school population / Paula MORALES-HIDALGO in Autism Research, 11-7 (July 2018)
[article]
Titre : Assessing the heterogeneity of autism spectrum symptoms in a school population Type de document : Texte imprimé et/ou numérique Auteurs : Paula MORALES-HIDALGO, Auteur ; P. J. FERRANDO, Auteur ; J. CANALS, Auteur Article en page(s) : p.979-988 Langues : Anglais (eng) Mots-clés : autism spectrum disorders factor mixture analysis general child population symptom profiles Index. décimale : PER Périodiques Résumé : The aim of the present study was to assess whether the nature of the main autistic features (i.e., social communication problems and repetitive and restrictive patterns) are better conceptualized as dimensional or categorical in a school population. The study was based on the teacher ratings of two different age groups: 2,585 children between the ages of 10 and 12 (Primary Education; PE) and 2,502 children between the ages of 3 and 5 (Nursery Education; NE) from 60 mainstream schools. The analyses were based on Factor Mixture Analysis, a novel approach that combines dimensional and categorical features and prevents spurious latent classes from appearing. The results provided evidence of the dimensionality of autism spectrum symptoms in a school age population. The distribution of the symptoms was strongly and positively skewed but continuous; and the prevalence of high-risk symptoms for autism spectrum disorders (ASD) and social-pragmatic communication disorder (SCD) was 7.55% of NE children and 8.74% in PE. A categorical separation between SCD and ASD was not supported by our sample. In view of the results, it is necessary to establish clear cut points for detecting and diagnosing autism and to develop specific and reliable tools capable of assessing symptom severity and functional consequences in children with ASD. Autism Res 2018, 11: 979-988. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The results of the present study suggest that the distribution of autism spectrum symptoms are continuous and dimensional among school-aged children and thus support the need to establish clear cut-off points for detecting and diagnosing autism. In our sample, the prevalence of high-risk symptoms for autism spectrum disorders and social-pragmatic communication disorder was around 8%. En ligne : http://dx.doi.org/10.1002/aur.1964 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=366
in Autism Research > 11-7 (July 2018) . - p.979-988[article] Assessing the heterogeneity of autism spectrum symptoms in a school population [Texte imprimé et/ou numérique] / Paula MORALES-HIDALGO, Auteur ; P. J. FERRANDO, Auteur ; J. CANALS, Auteur . - p.979-988.
Langues : Anglais (eng)
in Autism Research > 11-7 (July 2018) . - p.979-988
Mots-clés : autism spectrum disorders factor mixture analysis general child population symptom profiles Index. décimale : PER Périodiques Résumé : The aim of the present study was to assess whether the nature of the main autistic features (i.e., social communication problems and repetitive and restrictive patterns) are better conceptualized as dimensional or categorical in a school population. The study was based on the teacher ratings of two different age groups: 2,585 children between the ages of 10 and 12 (Primary Education; PE) and 2,502 children between the ages of 3 and 5 (Nursery Education; NE) from 60 mainstream schools. The analyses were based on Factor Mixture Analysis, a novel approach that combines dimensional and categorical features and prevents spurious latent classes from appearing. The results provided evidence of the dimensionality of autism spectrum symptoms in a school age population. The distribution of the symptoms was strongly and positively skewed but continuous; and the prevalence of high-risk symptoms for autism spectrum disorders (ASD) and social-pragmatic communication disorder (SCD) was 7.55% of NE children and 8.74% in PE. A categorical separation between SCD and ASD was not supported by our sample. In view of the results, it is necessary to establish clear cut points for detecting and diagnosing autism and to develop specific and reliable tools capable of assessing symptom severity and functional consequences in children with ASD. Autism Res 2018, 11: 979-988. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The results of the present study suggest that the distribution of autism spectrum symptoms are continuous and dimensional among school-aged children and thus support the need to establish clear cut-off points for detecting and diagnosing autism. In our sample, the prevalence of high-risk symptoms for autism spectrum disorders and social-pragmatic communication disorder was around 8%. En ligne : http://dx.doi.org/10.1002/aur.1964 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=366 Diagnosing Autism Spectrum Disorder in Children with Low Mental Age / L. E. MILLER in Journal of Autism and Developmental Disorders, 49-3 (March 2019)
[article]
Titre : Diagnosing Autism Spectrum Disorder in Children with Low Mental Age Type de document : Texte imprimé et/ou numérique Auteurs : L. E. MILLER, Auteur ; J. D. BURKE, Auteur ; Diana L. ROBINS, Auteur ; Deborah A. FEIN, Auteur Article en page(s) : p.1080-1095 Langues : Anglais (eng) Mots-clés : Ados Autism spectrum disorder Cars Low mental age Symptom profiles Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) diagnostic tools are not designed for mental ages (MA) below 12 months. Autism Diagnostic Observation Schedule (ADOS) and Childhood Autism Rating Scale (CARS) were examined in 2-year-olds with ASD-low MA (n = 53), Global Developmental Delay (GDD; n = 175), and ASD-higher MA (n = 425). ADOS and CARS demonstrated similar agreement with clinical diagnosis, but ADOS over-classified ASD in low MA, whereas CARS both over- and under-classified. All ADOS items differentiated GDD from ASD. Elementary social behaviors (e.g., eye contact, social interest) were similar across ASD groups, although advanced skills (e.g., pointing, play) were more impaired in ASD-low MA. ASD-low MA, a severe presentation, may require a modified ADOS algorithm to account for developmental delays. En ligne : http://dx.doi.org/10.1007/s10803-018-3810-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386
in Journal of Autism and Developmental Disorders > 49-3 (March 2019) . - p.1080-1095[article] Diagnosing Autism Spectrum Disorder in Children with Low Mental Age [Texte imprimé et/ou numérique] / L. E. MILLER, Auteur ; J. D. BURKE, Auteur ; Diana L. ROBINS, Auteur ; Deborah A. FEIN, Auteur . - p.1080-1095.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 49-3 (March 2019) . - p.1080-1095
Mots-clés : Ados Autism spectrum disorder Cars Low mental age Symptom profiles Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) diagnostic tools are not designed for mental ages (MA) below 12 months. Autism Diagnostic Observation Schedule (ADOS) and Childhood Autism Rating Scale (CARS) were examined in 2-year-olds with ASD-low MA (n = 53), Global Developmental Delay (GDD; n = 175), and ASD-higher MA (n = 425). ADOS and CARS demonstrated similar agreement with clinical diagnosis, but ADOS over-classified ASD in low MA, whereas CARS both over- and under-classified. All ADOS items differentiated GDD from ASD. Elementary social behaviors (e.g., eye contact, social interest) were similar across ASD groups, although advanced skills (e.g., pointing, play) were more impaired in ASD-low MA. ASD-low MA, a severe presentation, may require a modified ADOS algorithm to account for developmental delays. En ligne : http://dx.doi.org/10.1007/s10803-018-3810-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386