Characteristics associated with parental estimates of sleep duration in children with autism spectrum disorders / Amy M. SHUI in Research in Autism Spectrum Disorders, 80 (February 2021)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 80 (February 2021) . - p.101698 Titre : Characteristics associated with parental estimates of sleep duration in children with autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Amy M. SHUI, Auteur ; Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Terry KATZ, Auteur Article en page(s) : p.101698 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Sleep disturbances  Sleep habits  Sleep duration  Bedtime consistency Index. décimale : PER Périodiques Résumé : Background Sleep problems are common in individuals with ASD. This study examined the relationships between bedtime consistency, cognitive functioning, comorbid diagnoses, intervention, demographics and sleep duration in children with ASD. Method Cross-sectional data from 1683 children with ASD in the 2016 and 2017 National Survey of Children's Health were analyzed. The sample was 80 % male, 46 % non-Hispanic white, and mean age was 10.5 (SD 4.1) years. All data were parent report. Multiple linear regression was performed. Results ASD severity was associated with shorter sleep duration, and bedtime consistency was associated with longer sleep duration. Age moderated the effects of both bedtime consistency and ADD/ADHD on sleep duration. Both the positive effect of bedtime consistency and the negative effect of ADD/ADHD on sleep duration became less pronounced with age. Conclusion Although the challenges related to sleep and behavior may differ by age of the child, bedtime consistency could be a good target to improve sleep duration for all children with ASD. Future studies, especially longitudinal studies, on sleep habits and sleep hygiene, in conjunction with other measures of sleep patterns (e.g., night wakings) and correlates of sleep problems, may provide further evidence for the importance of good sleep practices and guide sleep treatment in children with ASD. En ligne : https://doi.org/10.1016/j.rasd.2020.101698 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438 [article] Characteristics associated with parental estimates of sleep duration in children with autism spectrum disorders [Texte imprimé et/ou numérique] / Amy M. SHUI, Auteur ; Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Terry KATZ, Auteur . - p.101698. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 80 (February 2021) . - p.101698 Mots-clés : Autism spectrum disorder  Sleep disturbances  Sleep habits  Sleep duration  Bedtime consistency Index. décimale : PER Périodiques Résumé : Background Sleep problems are common in individuals with ASD. This study examined the relationships between bedtime consistency, cognitive functioning, comorbid diagnoses, intervention, demographics and sleep duration in children with ASD. Method Cross-sectional data from 1683 children with ASD in the 2016 and 2017 National Survey of Children's Health were analyzed. The sample was 80 % male, 46 % non-Hispanic white, and mean age was 10.5 (SD 4.1) years. All data were parent report. Multiple linear regression was performed. Results ASD severity was associated with shorter sleep duration, and bedtime consistency was associated with longer sleep duration. Age moderated the effects of both bedtime consistency and ADD/ADHD on sleep duration. Both the positive effect of bedtime consistency and the negative effect of ADD/ADHD on sleep duration became less pronounced with age. Conclusion Although the challenges related to sleep and behavior may differ by age of the child, bedtime consistency could be a good target to improve sleep duration for all children with ASD. Future studies, especially longitudinal studies, on sleep habits and sleep hygiene, in conjunction with other measures of sleep patterns (e.g., night wakings) and correlates of sleep problems, may provide further evidence for the importance of good sleep practices and guide sleep treatment in children with ASD. En ligne : https://doi.org/10.1016/j.rasd.2020.101698 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438

Medical Conditions and Demographic, Service and Clinical Factors Associated with Atypical Antipsychotic Medication Use Among Children with An Autism Spectrum Disorder / Johanna K. LAKE in Journal of Autism and Developmental Disorders, 47-5 (May 2017)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 47-5 (May 2017) . - p.1391-1402 Titre : Medical Conditions and Demographic, Service and Clinical Factors Associated with Atypical Antipsychotic Medication Use Among Children with An Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Johanna K. LAKE, Auteur ; Danica DENTON, Auteur ; Yona LUNSKY, Auteur ; Amy M. SHUI, Auteur ; Jeremy VEENSTRA-VANDERWEELE, Auteur ; Evdokia ANAGNOSTOU, Auteur Article en page(s) : p.1391-1402 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Atypical antipsychotic medication  Children Index. décimale : PER Périodiques Résumé : This study aimed to describe rates of antipsychotic medication use and the association between their use and demographics, clinical variables, and the use of behavioral/education services among children with ASD. For children with ASD ages 2–11 (n?=?4749) and those 12–17 (n?=?401), 5.4 and 17.7% were prescribed at least one atypical antipsychotic medication respectively. In the multivariable model of young children, older age, use of multiple psychotropic medications, prior ASD diagnosis, non-white Hispanic race/ethnicity, and oppositional defiant problems were associated with antipsychotic use. Among older children, only older age was associated with antipsychotic use. In at least one age group, antipsychotic medication use was also related to behaviour, family and occupational therapy, public insurance, site region, externalizing problems, body mass index, and sleep and gastrointestinal problems. En ligne : http://dx.doi.org/10.1007/s10803-017-3058-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=305 [article] Medical Conditions and Demographic, Service and Clinical Factors Associated with Atypical Antipsychotic Medication Use Among Children with An Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Johanna K. LAKE, Auteur ; Danica DENTON, Auteur ; Yona LUNSKY, Auteur ; Amy M. SHUI, Auteur ; Jeremy VEENSTRA-VANDERWEELE, Auteur ; Evdokia ANAGNOSTOU, Auteur . - p.1391-1402. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 47-5 (May 2017) . - p.1391-1402 Mots-clés : Autism spectrum disorder  Atypical antipsychotic medication  Children Index. décimale : PER Périodiques Résumé : This study aimed to describe rates of antipsychotic medication use and the association between their use and demographics, clinical variables, and the use of behavioral/education services among children with ASD. For children with ASD ages 2–11 (n?=?4749) and those 12–17 (n?=?401), 5.4 and 17.7% were prescribed at least one atypical antipsychotic medication respectively. In the multivariable model of young children, older age, use of multiple psychotropic medications, prior ASD diagnosis, non-white Hispanic race/ethnicity, and oppositional defiant problems were associated with antipsychotic use. Among older children, only older age was associated with antipsychotic use. In at least one age group, antipsychotic medication use was also related to behaviour, family and occupational therapy, public insurance, site region, externalizing problems, body mass index, and sleep and gastrointestinal problems. En ligne : http://dx.doi.org/10.1007/s10803-017-3058-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=305

Sleep disturbance and other co-occurring conditions in autistic children: A network approach to understanding their inter-relationships / Amanda L. RICHDALE in Autism Research, 17-11 (November 2024)  

Public ISBD [article]  inAutism Research > 17-11 (November 2024) . - p.2386-2404 Titre : Sleep disturbance and other co-occurring conditions in autistic children: A network approach to understanding their inter-relationships Type de document : Texte imprimé et/ou numérique Auteurs : Amanda L. RICHDALE, Auteur ; Amy M. SHUI, Auteur ; Linnea A. LAMPINEN, Auteur ; Terry KATZ, Auteur Article en page(s) : p.2386-2404 Langues : Anglais (eng) Mots-clés : aggression  autism  network analysis  sleep disturbance  transdiagnostic Index. décimale : PER Périodiques Résumé : Abstract Autistic children frequently have one or more co-occurring psychological, behavioral, or medical conditions. We examined relationships between child behaviors, sleep, adaptive behavior, autistic traits, mental health conditions, and health in autistic children using network analysis. Network analysis is hypothesis generating and can inform our understanding of relationships between multiple conditions and behaviors, directing the development of transdiagnostic treatments for co-occurring conditions. Participants were two child cohorts from the Autism Treatment Network registry: ages 2?5?years (n?=?2372) and 6?17?years (n?=?1553). Least absolute-shrinkage and selection operator (LASSO) regularized partial correlation network analysis was performed in the 2?5?years cohort (35 items) and the 6?17?years cohort (36 items). The Spinglass algorithm determined communities within each network. Two-step expected influence (EI2) determined the importance of network variables. The most influential network items were sleep difficulties (2 items) and aggressive behaviors for young children and aggressive behaviors, social problems, and anxious/depressed behavior for older children. Five communities were found for younger children and seven for older children. Of the top three most important bridge variables, night-waking/parasomnias and anxious/depressed behavior were in both age-groups, and somatic complaints and sleep initiation/duration were in younger and older cohorts respectively. Despite cohort differences, sleep disturbances were prominent in all networks, indicating they are a transdiagnostic feature across many clinical conditions, and thus a target for intervention and monitoring. Aggressive behavior was influential in the partial correlation networks, indicating a potential red flag for clinical monitoring. Other items of strong network importance may also be intervention targets or screening flags. En ligne : https://doi.org/10.1002/aur.3233 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=542 [article] Sleep disturbance and other co-occurring conditions in autistic children: A network approach to understanding their inter-relationships [Texte imprimé et/ou numérique] / Amanda L. RICHDALE, Auteur ; Amy M. SHUI, Auteur ; Linnea A. LAMPINEN, Auteur ; Terry KATZ, Auteur . - p.2386-2404. Langues : Anglais (eng) in Autism Research > 17-11 (November 2024) . - p.2386-2404 Mots-clés : aggression  autism  network analysis  sleep disturbance  transdiagnostic Index. décimale : PER Périodiques Résumé : Abstract Autistic children frequently have one or more co-occurring psychological, behavioral, or medical conditions. We examined relationships between child behaviors, sleep, adaptive behavior, autistic traits, mental health conditions, and health in autistic children using network analysis. Network analysis is hypothesis generating and can inform our understanding of relationships between multiple conditions and behaviors, directing the development of transdiagnostic treatments for co-occurring conditions. Participants were two child cohorts from the Autism Treatment Network registry: ages 2?5?years (n?=?2372) and 6?17?years (n?=?1553). Least absolute-shrinkage and selection operator (LASSO) regularized partial correlation network analysis was performed in the 2?5?years cohort (35 items) and the 6?17?years cohort (36 items). The Spinglass algorithm determined communities within each network. Two-step expected influence (EI2) determined the importance of network variables. The most influential network items were sleep difficulties (2 items) and aggressive behaviors for young children and aggressive behaviors, social problems, and anxious/depressed behavior for older children. Five communities were found for younger children and seven for older children. Of the top three most important bridge variables, night-waking/parasomnias and anxious/depressed behavior were in both age-groups, and somatic complaints and sleep initiation/duration were in younger and older cohorts respectively. Despite cohort differences, sleep disturbances were prominent in all networks, indicating they are a transdiagnostic feature across many clinical conditions, and thus a target for intervention and monitoring. Aggressive behavior was influential in the partial correlation networks, indicating a potential red flag for clinical monitoring. Other items of strong network importance may also be intervention targets or screening flags. En ligne : https://doi.org/10.1002/aur.3233 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=542

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