Centre d'Information et de documentation du CRA Rhône-Alpes
CRA
Informations pratiques
-
Adresse
Centre d'information et de documentation
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexHoraires
Lundi au Vendredi
9h00-12h00 13h30-16h00Contact
Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Résultat de la recherche
1 recherche sur le mot-clé 'Atypical sleep duration'
Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
Subgrouping school-aged children on the autism spectrum based on co-occurring psychiatric symptoms / Antonia M. H. PIERGIES in Research in Autism Spectrum Disorders, 95 (July 2022)
[article]
Titre : Subgrouping school-aged children on the autism spectrum based on co-occurring psychiatric symptoms Type de document : Texte imprimé et/ou numérique Auteurs : Antonia M. H. PIERGIES, Auteur ; Tomoya HIROTA, Auteur ; Rei MONDEN, Auteur ; Shuting ZHENG, Auteur Article en page(s) : 101983 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Latent class analysis Co-occurring psychiatric symptoms Nonverbal IQ Atypical sleep duration Medical conditions Index. décimale : PER Périodiques Résumé : Background Phenotypic heterogeneity along the autism spectrum is compounded by co-occurring psychiatric conditions. Deriving subgroups of autistic individuals based on symptoms of these conditions could better our understanding of psychiatric symptom patterns existing within this population. This study?s goals were to derive subgroups of school-aged autistic children based on co-occurring psychiatric symptoms while controlling for age and sex and to examine correlates of subgroup membership while controlling for the degree of ASD-related diagnostic features. Method Latent class models were estimated in a sample from the Simons Simplex Collection (n = 2087) using ?borderline/clinical? versus ?normative? range data from five of the DSM-Oriented Scales from the CBCL/6?18 as indicator variables. We evaluated the predictive value of NVIQ < 70, atypical sleep duration, allergies/autoimmune conditions, gastrointestinal conditions, and neurological conditions on subgroup membership using multinomial logistic regression. Results Four subgroups emerged: Low Psychiatric Symptoms (41.02%), Externalizing Symptoms (12.36%), Internalizing Symptoms (31.58%), and High Psychiatric Symptoms (15.05%). Key findings were that NVIQ < 70 was associated with decreased odds of belonging to the Internalizing Symptoms and High Psychiatric Symptoms subgroups over the Low Psychiatric Symptoms subgroup, while atypical sleep duration and gastrointestinal conditions were associated with increased odds of belonging to the Externalizing Symptoms and High Psychiatric Symptoms subgroups. Neurological conditions were also associated with increased odds of belonging to the Externalizing Symptoms subgroup. Conclusion Distinct patterns of psychiatric symptoms exist within school-aged autistic children and are correlated with NVIQ < 70, atypical sleep duration, and medical conditions, providing insights for clinical practice and etiology-driven research. En ligne : https://doi.org/10.1016/j.rasd.2022.101983 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475
in Research in Autism Spectrum Disorders > 95 (July 2022) . - 101983[article] Subgrouping school-aged children on the autism spectrum based on co-occurring psychiatric symptoms [Texte imprimé et/ou numérique] / Antonia M. H. PIERGIES, Auteur ; Tomoya HIROTA, Auteur ; Rei MONDEN, Auteur ; Shuting ZHENG, Auteur . - 101983.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 95 (July 2022) . - 101983
Mots-clés : Autism spectrum disorder Latent class analysis Co-occurring psychiatric symptoms Nonverbal IQ Atypical sleep duration Medical conditions Index. décimale : PER Périodiques Résumé : Background Phenotypic heterogeneity along the autism spectrum is compounded by co-occurring psychiatric conditions. Deriving subgroups of autistic individuals based on symptoms of these conditions could better our understanding of psychiatric symptom patterns existing within this population. This study?s goals were to derive subgroups of school-aged autistic children based on co-occurring psychiatric symptoms while controlling for age and sex and to examine correlates of subgroup membership while controlling for the degree of ASD-related diagnostic features. Method Latent class models were estimated in a sample from the Simons Simplex Collection (n = 2087) using ?borderline/clinical? versus ?normative? range data from five of the DSM-Oriented Scales from the CBCL/6?18 as indicator variables. We evaluated the predictive value of NVIQ < 70, atypical sleep duration, allergies/autoimmune conditions, gastrointestinal conditions, and neurological conditions on subgroup membership using multinomial logistic regression. Results Four subgroups emerged: Low Psychiatric Symptoms (41.02%), Externalizing Symptoms (12.36%), Internalizing Symptoms (31.58%), and High Psychiatric Symptoms (15.05%). Key findings were that NVIQ < 70 was associated with decreased odds of belonging to the Internalizing Symptoms and High Psychiatric Symptoms subgroups over the Low Psychiatric Symptoms subgroup, while atypical sleep duration and gastrointestinal conditions were associated with increased odds of belonging to the Externalizing Symptoms and High Psychiatric Symptoms subgroups. Neurological conditions were also associated with increased odds of belonging to the Externalizing Symptoms subgroup. Conclusion Distinct patterns of psychiatric symptoms exist within school-aged autistic children and are correlated with NVIQ < 70, atypical sleep duration, and medical conditions, providing insights for clinical practice and etiology-driven research. En ligne : https://doi.org/10.1016/j.rasd.2022.101983 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475