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

Clinician-caregiver informant discrepancy is associated with sex, diagnosis age, and intervention use among autistic children / Margaret A. AZU in Autism, 29-3 (March 2025)  

Public ISBD [article]  inAutism > 29-3 (March 2025) . - p.614-626 Titre : Clinician-caregiver informant discrepancy is associated with sex, diagnosis age, and intervention use among autistic children Type de document : Texte imprimé et/ou numérique Auteurs : Margaret A. AZU, Auteur ; Gloria T. HAN, Auteur ; Julie M. WOLF, Auteur ; Adam J. NAPLES, Auteur ; Katarzyna CHAWARSKA, Auteur ; Geraldine DAWSON, Auteur ; Raphael A. BERNIER, Auteur ; Shafali S. JESTE, Auteur ; James D. DZIURA, Auteur ; Sara J. WEBB, Auteur ; Catherine A. SUGAR, Auteur ; Frederick SHIC, Auteur ; James C. MCPARTLAND, Auteur Article en page(s) : p.614-626 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Clinician and caregiver reports of autism features are both integral to receiving an autism diagnosis and appropriate intervention, yet informant discrepancies are present in clinical practice and may differ by demographic characteristics of the child and ... En ligne : https://dx.doi.org/10.1177/13623613241279999 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=550 [article] Clinician-caregiver informant discrepancy is associated with sex, diagnosis age, and intervention use among autistic children [Texte imprimé et/ou numérique] / Margaret A. AZU, Auteur ; Gloria T. HAN, Auteur ; Julie M. WOLF, Auteur ; Adam J. NAPLES, Auteur ; Katarzyna CHAWARSKA, Auteur ; Geraldine DAWSON, Auteur ; Raphael A. BERNIER, Auteur ; Shafali S. JESTE, Auteur ; James D. DZIURA, Auteur ; Sara J. WEBB, Auteur ; Catherine A. SUGAR, Auteur ; Frederick SHIC, Auteur ; James C. MCPARTLAND, Auteur . - p.614-626. Langues : Anglais (eng) in Autism > 29-3 (March 2025) . - p.614-626 Index. décimale : PER Périodiques Résumé : Clinician and caregiver reports of autism features are both integral to receiving an autism diagnosis and appropriate intervention, yet informant discrepancies are present in clinical practice and may differ by demographic characteristics of the child and ... En ligne : https://dx.doi.org/10.1177/13623613241279999 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=550

Co-Occurring Mood Problems in Autism Spectrum Disorder / Florencia PEZZIMENTI ; Mareike EYDT-BEEBE ; Gloria T. HAN ; Catherine G. HERRINGTON

Public ISBD in The Oxford Handbook of Autism and Co-Occurring Psychiatric Conditions / Susan W. WHITE Titre : Co-Occurring Mood Problems in Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Florencia PEZZIMENTI, Auteur ; Mareike EYDT-BEEBE, Auteur ; Gloria T. HAN, Auteur ; Catherine G. HERRINGTON, Auteur Année de publication : 2020 Importance : p.29-51 Langues : Anglais (eng) Index. décimale : AUT-B AUT-B - L'Autisme - Ouvrages généraux et scientifiques Résumé : Recent evidence suggests that individuals with autism spectrum disorder (ASD) experience depression at rates approximately four times greater than the general population. Co-occurring mood problems, including depressive and bipolar disorders, are associated with negative outcomes such as lower quality of life, increased adaptive behavior impairments, and greater service use. This chapter discusses what is known about the presentation of unipolar and bipolar depression in people with ASD and describes challenges to establishing sound prevalence estimates of mood disorders in ASD as they relate to methodological design issues and diagnostic assessment practices. It also provides an overview of potential vulnerability factors in the development of depression in this population; these areas of vulnerability include characteristics such as chronological age, cognitive ability, and ASD symptom severity, as well as those individual differences that may represent more direct mechanisms, for example, maladaptive coping styles, attentional biases, social reward profiles, and predisposition to rumination. The current research on interventions specifically designed to treat mood in people with ASD is very limited. However, promising treatments include adapted cognitive behavioral therapy and mindfulness-based approaches. Though most of this chapter focuses on unipolar depression in ASD as the more well-studied mood disorder, the chapter also summarizes the small research base on bipolar disorder in the context of ASD. It ends with a call for improved screening, assessment, and evidence-based treatment options to address this significant public health problem in this special population. Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=528 in The Oxford Handbook of Autism and Co-Occurring Psychiatric Conditions / Susan W. WHITE Co-Occurring Mood Problems in Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Florencia PEZZIMENTI, Auteur ; Mareike EYDT-BEEBE, Auteur ; Gloria T. HAN, Auteur ; Catherine G. HERRINGTON, Auteur . - 2020 . - p.29-51. Langues : Anglais (eng) Index. décimale : AUT-B AUT-B - L'Autisme - Ouvrages généraux et scientifiques Résumé : Recent evidence suggests that individuals with autism spectrum disorder (ASD) experience depression at rates approximately four times greater than the general population. Co-occurring mood problems, including depressive and bipolar disorders, are associated with negative outcomes such as lower quality of life, increased adaptive behavior impairments, and greater service use. This chapter discusses what is known about the presentation of unipolar and bipolar depression in people with ASD and describes challenges to establishing sound prevalence estimates of mood disorders in ASD as they relate to methodological design issues and diagnostic assessment practices. It also provides an overview of potential vulnerability factors in the development of depression in this population; these areas of vulnerability include characteristics such as chronological age, cognitive ability, and ASD symptom severity, as well as those individual differences that may represent more direct mechanisms, for example, maladaptive coping styles, attentional biases, social reward profiles, and predisposition to rumination. The current research on interventions specifically designed to treat mood in people with ASD is very limited. However, promising treatments include adapted cognitive behavioral therapy and mindfulness-based approaches. Though most of this chapter focuses on unipolar depression in ASD as the more well-studied mood disorder, the chapter also summarizes the small research base on bipolar disorder in the context of ASD. It ends with a call for improved screening, assessment, and evidence-based treatment options to address this significant public health problem in this special population. Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=528

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
aucun exemplaire

Development of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children / Gloria T. HAN ; Adam J. NAPLES ; Julie M. WOLF ; James C. MCPARTLAND in Autism Research, 16-11 (November 2023)  

Public ISBD [article]  inAutism Research > 16-11 (November 2023) . - p.2077-2089 Titre : Development of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children Type de document : Texte imprimé et/ou numérique Auteurs : Gloria T. HAN, Auteur ; Adam J. NAPLES, Auteur ; Julie M. WOLF, Auteur ; James C. MCPARTLAND, Auteur Article en page(s) : p.2077-2089 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Electroencephalographic peak alpha frequency (PAF) is a marker of neural maturation that increases with age throughout childhood. Distinct maturation of PAF is observed in children with autism spectrum disorder such that PAF does not increase with age and is instead positively associated with cognitive ability. The current study clarifies and extends previous findings by characterizing the effects of age and cognitive ability on PAF between diagnostic groups in a sample of children and adolescents with and without autism spectrum disorder. Resting EEG data and behavioral measures were collected from 45 autistic children and 34 neurotypical controls aged 8 to 18?years. Utilizing generalized additive models to account for nonlinear relations, we examined differences in the joint effect of age and nonverbal IQ by diagnosis as well as bivariate relations between age, nonverbal IQ, and PAF across diagnostic groups. Age was positively associated with PAF among neurotypical children but not among autistic children. In contrast, nonverbal IQ but not age was positively associated with PAF among autistic children. Models accounting for nonlinear relations revealed different developmental trajectories as a function of age and cognitive ability based on diagnostic status. Results align with prior evidence indicating that typical age-related increases in PAF are absent in autistic children and that PAF instead increases with cognitive ability in these children. Findings suggest the potential of PAF to index distinct trajectories of neural maturation in autistic children. En ligne : https://doi.org/10.1002/aur.3017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=517 [article] Development of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children [Texte imprimé et/ou numérique] / Gloria T. HAN, Auteur ; Adam J. NAPLES, Auteur ; Julie M. WOLF, Auteur ; James C. MCPARTLAND, Auteur . - p.2077-2089. Langues : Anglais (eng) in Autism Research > 16-11 (November 2023) . - p.2077-2089 Index. décimale : PER Périodiques Résumé : Abstract Electroencephalographic peak alpha frequency (PAF) is a marker of neural maturation that increases with age throughout childhood. Distinct maturation of PAF is observed in children with autism spectrum disorder such that PAF does not increase with age and is instead positively associated with cognitive ability. The current study clarifies and extends previous findings by characterizing the effects of age and cognitive ability on PAF between diagnostic groups in a sample of children and adolescents with and without autism spectrum disorder. Resting EEG data and behavioral measures were collected from 45 autistic children and 34 neurotypical controls aged 8 to 18?years. Utilizing generalized additive models to account for nonlinear relations, we examined differences in the joint effect of age and nonverbal IQ by diagnosis as well as bivariate relations between age, nonverbal IQ, and PAF across diagnostic groups. Age was positively associated with PAF among neurotypical children but not among autistic children. In contrast, nonverbal IQ but not age was positively associated with PAF among autistic children. Models accounting for nonlinear relations revealed different developmental trajectories as a function of age and cognitive ability based on diagnostic status. Results align with prior evidence indicating that typical age-related increases in PAF are absent in autistic children and that PAF instead increases with cognitive ability in these children. Findings suggest the potential of PAF to index distinct trajectories of neural maturation in autistic children. En ligne : https://doi.org/10.1002/aur.3017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=517

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

---

1 (1 - 5 / 5)