Are emotion recognition abilities related to everyday social functioning in ASD? A meta-analysis / Dominic A. TREVISAN in Research in Autism Spectrum Disorders, 32 (December 2016)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 32 (December 2016) . - p.24-42 Titre : Are emotion recognition abilities related to everyday social functioning in ASD? A meta-analysis Type de document : Texte imprimé et/ou numérique Auteurs : Dominic A. TREVISAN, Auteur ; Elina BIRMINGHAM, Auteur Article en page(s) : p.24-42 Langues : Anglais (eng) Mots-clés : Autism  Emotion recognition  Meta-analysis  Social functioning Index. décimale : PER Périodiques Résumé : AbstractBackground Most developmental theories of autism spectrum disorders (ASD) emphasize a link between the ability to infer others' emotional states with their everyday social functioning. However, rarely has this association been empirically examined in this population. Methods We conducted a meta-analysis to quantitatively summarize correlations between performance on facial emotion recognition tasks and theoretically related variables broadly related to social functioning and other cognitive abilities. Results Sixty-two correlation coefficients from 27 separate articles met our inclusion criteria. Correlations between the ability to recognize facial expressions (FER) and each category of variables were moderate but significant in the expected direction. FER was positively correlated with age, nonverbal and verbal intelligence, Theory of Mind, and adaptive functioning, and negatively correlated with alexithymia and higher ASD symptoms. Conclusions The findings of this meta-analysis indicate that FER abilities represent an important social cognitive ability given its relation to real-world social behavior and other characteristics and cognitive abilities. However, the striking lack of studies in this area calls for more research to gain a clearer understanding of the developmental significance of FER, especially in relation to the broader social impairment characteristic of ASD. En ligne : http://dx.doi.org/10.1016/j.rasd.2016.08.004 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=296 [article] Are emotion recognition abilities related to everyday social functioning in ASD? A meta-analysis [Texte imprimé et/ou numérique] / Dominic A. TREVISAN, Auteur ; Elina BIRMINGHAM, Auteur . - p.24-42. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 32 (December 2016) . - p.24-42 Mots-clés : Autism  Emotion recognition  Meta-analysis  Social functioning Index. décimale : PER Périodiques Résumé : AbstractBackground Most developmental theories of autism spectrum disorders (ASD) emphasize a link between the ability to infer others' emotional states with their everyday social functioning. However, rarely has this association been empirically examined in this population. Methods We conducted a meta-analysis to quantitatively summarize correlations between performance on facial emotion recognition tasks and theoretically related variables broadly related to social functioning and other cognitive abilities. Results Sixty-two correlation coefficients from 27 separate articles met our inclusion criteria. Correlations between the ability to recognize facial expressions (FER) and each category of variables were moderate but significant in the expected direction. FER was positively correlated with age, nonverbal and verbal intelligence, Theory of Mind, and adaptive functioning, and negatively correlated with alexithymia and higher ASD symptoms. Conclusions The findings of this meta-analysis indicate that FER abilities represent an important social cognitive ability given its relation to real-world social behavior and other characteristics and cognitive abilities. However, the striking lack of studies in this area calls for more research to gain a clearer understanding of the developmental significance of FER, especially in relation to the broader social impairment characteristic of ASD. En ligne : http://dx.doi.org/10.1016/j.rasd.2016.08.004 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=296

Associations between sleep problems and domains relevant to daytime functioning and clinical symptomatology in autism: A meta-analysis / Gloria T. HAN in Autism Research, 15-7 (July 2022)  

Public ISBD [article]  inAutism Research > 15-7 (July 2022) . - p.1249-1260 Titre : Associations between sleep problems and domains relevant to daytime functioning and clinical symptomatology in autism: A meta-analysis Type de document : Texte imprimé et/ou numérique Auteurs : Gloria T. HAN, Auteur ; Dominic A. TREVISAN, Auteur ; Emily A. ABEL, Auteur ; Elise M. CUMMINGS, Auteur ; Carter CARLOS, Auteur ; Armen BAGDASAROV, Auteur ; Shashwat KALA, Auteur ; Termara PARKER, Auteur ; Craig CANAPARI, Auteur ; James C. MCPARTLAND, Auteur Article en page(s) : p.1249-1260 Langues : Anglais (eng) Mots-clés : autism  daytime functioning  meta-analysis  sleep Index. décimale : PER Périodiques Résumé : Autistic individuals experience significantly higher rates of sleep problems compared to the general population, which negatively impacts various aspects of daytime functioning. The strength of associations across domains of functioning has not yet been summarized across studies. The present meta-analysis examined the strength of associations between sleep problems and various domains of daytime functioning in autistic individuals. Searches were conducted in EMBASE, PubMed, Web of Science, and Google Scholar through May 2020. Inclusion criteria were: an index of sleep disturbance in individuals diagnosed with autism spectrum disorder (ASD); data collected prior to any sleep-related intervention; statistical data indicating relations between sleep problems and outcomes relevant to behavior, cognition, and physical or mental health. Exclusion criteria were: statistics characterizing the relationship between sleep disturbance and outcome variables that partialled out covariates; studies examining correlations between different measures of sleep disturbance. Participants totaled 15,074 from 49 published articles and 51 samples, yielding 209 effect sizes. Sleep problems were significantly associated with more clinical symptomatology and worse daytime functioning. Subgroup analyses demonstrated that sleep problems were most strongly associated with internalizing and externalizing symptoms and executive functioning, followed by core autism symptoms, family factors, and adaptive functioning. Findings highlight the far-reaching consequences of sleep problems on daytime functioning for autistic individuals and support the continued prioritization of sleep as a target for intervention through integrated care models to improve wellbeing. LAY SUMMARY: Autistic individuals experience higher rates of sleep problems, such as difficulty falling asleep and staying asleep, compared to the general population. We quantitatively summarized the literature about how sleep problems are related to different aspects of daytime functioning to identify areas that may be most affected by sleep. Sleep problems were related to all areas assessed, with the strongest associations for mood and anxiety symptoms. We recommend prioritizing sleep health in autistic individuals to improve wellbeing and quality of life. En ligne : http://dx.doi.org/10.1002/aur.2758 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 [article] Associations between sleep problems and domains relevant to daytime functioning and clinical symptomatology in autism: A meta-analysis [Texte imprimé et/ou numérique] / Gloria T. HAN, Auteur ; Dominic A. TREVISAN, Auteur ; Emily A. ABEL, Auteur ; Elise M. CUMMINGS, Auteur ; Carter CARLOS, Auteur ; Armen BAGDASAROV, Auteur ; Shashwat KALA, Auteur ; Termara PARKER, Auteur ; Craig CANAPARI, Auteur ; James C. MCPARTLAND, Auteur . - p.1249-1260. Langues : Anglais (eng) in Autism Research > 15-7 (July 2022) . - p.1249-1260 Mots-clés : autism  daytime functioning  meta-analysis  sleep Index. décimale : PER Périodiques Résumé : Autistic individuals experience significantly higher rates of sleep problems compared to the general population, which negatively impacts various aspects of daytime functioning. The strength of associations across domains of functioning has not yet been summarized across studies. The present meta-analysis examined the strength of associations between sleep problems and various domains of daytime functioning in autistic individuals. Searches were conducted in EMBASE, PubMed, Web of Science, and Google Scholar through May 2020. Inclusion criteria were: an index of sleep disturbance in individuals diagnosed with autism spectrum disorder (ASD); data collected prior to any sleep-related intervention; statistical data indicating relations between sleep problems and outcomes relevant to behavior, cognition, and physical or mental health. Exclusion criteria were: statistics characterizing the relationship between sleep disturbance and outcome variables that partialled out covariates; studies examining correlations between different measures of sleep disturbance. Participants totaled 15,074 from 49 published articles and 51 samples, yielding 209 effect sizes. Sleep problems were significantly associated with more clinical symptomatology and worse daytime functioning. Subgroup analyses demonstrated that sleep problems were most strongly associated with internalizing and externalizing symptoms and executive functioning, followed by core autism symptoms, family factors, and adaptive functioning. Findings highlight the far-reaching consequences of sleep problems on daytime functioning for autistic individuals and support the continued prioritization of sleep as a target for intervention through integrated care models to improve wellbeing. LAY SUMMARY: Autistic individuals experience higher rates of sleep problems, such as difficulty falling asleep and staying asleep, compared to the general population. We quantitatively summarized the literature about how sleep problems are related to different aspects of daytime functioning to identify areas that may be most affected by sleep. Sleep problems were related to all areas assessed, with the strongest associations for mood and anxiety symptoms. We recommend prioritizing sleep health in autistic individuals to improve wellbeing and quality of life. En ligne : http://dx.doi.org/10.1002/aur.2758 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476

Distinct Symptom Network Structure and Shared Central Social Communication Symptomatology in Autism and Schizophrenia: A Bayesian Network Analysis / Gloria T. HAN in Journal of Autism and Developmental Disorders, 53-9 (September 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-9 (September 2023) . - p.3636-3647 Titre : Distinct Symptom Network Structure and Shared Central Social Communication Symptomatology in Autism and Schizophrenia: A Bayesian Network Analysis Type de document : Texte imprimé et/ou numérique Auteurs : Gloria T. HAN, Auteur ; Dominic A. TREVISAN, Auteur ; Jennifer FOSS-FEIG, Auteur ; Vinod SRIHARI, Auteur ; James C. MCPARTLAND, Auteur Article en page(s) : p.3636-3647 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Autism (ASD) and schizophrenia spectrum disorders (SCZ) are neurodevelopmental conditions with overlapping and interrelated symptoms. A network analysis approach that represents clinical conditions as a set of "nodes" (symptoms) connected by "edges" (relations among symptoms) was used to compare symptom organization in the two conditions. Gaussian graphical models were estimated using Bayesian methods to model separate symptom networks for adults with confirmed ASD or SCZ diagnoses. Though overall symptom organization differed by diagnostic group, both symptom networks demonstrated high centrality of social communication difficulties. Autism-relevant restricted and repetitive behaviors and schizophrenia-related cognitive-perceptual symptoms were uniquely central to the ASD and SCZ networks, respectively. Results offer recommendations to improve differential diagnosis and highlight potential treatment targets in ASD and SCZ. En ligne : https://doi.org/10.1007/s10803-022-05620-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=511 [article] Distinct Symptom Network Structure and Shared Central Social Communication Symptomatology in Autism and Schizophrenia: A Bayesian Network Analysis [Texte imprimé et/ou numérique] / Gloria T. HAN, Auteur ; Dominic A. TREVISAN, Auteur ; Jennifer FOSS-FEIG, Auteur ; Vinod SRIHARI, Auteur ; James C. MCPARTLAND, Auteur . - p.3636-3647. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-9 (September 2023) . - p.3636-3647 Index. décimale : PER Périodiques Résumé : Autism (ASD) and schizophrenia spectrum disorders (SCZ) are neurodevelopmental conditions with overlapping and interrelated symptoms. A network analysis approach that represents clinical conditions as a set of "nodes" (symptoms) connected by "edges" (relations among symptoms) was used to compare symptom organization in the two conditions. Gaussian graphical models were estimated using Bayesian methods to model separate symptom networks for adults with confirmed ASD or SCZ diagnoses. Though overall symptom organization differed by diagnostic group, both symptom networks demonstrated high centrality of social communication difficulties. Autism-relevant restricted and repetitive behaviors and schizophrenia-related cognitive-perceptual symptoms were uniquely central to the ASD and SCZ networks, respectively. Results offer recommendations to improve differential diagnosis and highlight potential treatment targets in ASD and SCZ. En ligne : https://doi.org/10.1007/s10803-022-05620-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=511

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