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

Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults / Linnea A. LAMPINEN in Autism Research, 15-11 (November 2022)  

Public ISBD [article]  inAutism Research > 15-11 (November 2022) . - p.2126-2137 Titre : Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults Type de document : Texte imprimé et/ou numérique Auteurs : Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Julie LOUNDS TAYLOR, Auteur ; Ryan E. ADAMS, Auteur ; Florencia PEZZIMENTI, Auteur ; Lauren D. ASARNOW, Auteur ; Somer L. BISHOP, Auteur Article en page(s) : p.2126-2137 Langues : Anglais (eng) Mots-clés : Humans  Young Adult  Child  Adolescent  Adult  Autistic Disorder/complications  Depression/complications/epidemiology  Autism Spectrum Disorder/complications/epidemiology  Sleep Wake Disorders/complications/epidemiology  Sleep  delayed phase  depression  sleep efficiency  young adults Index. décimale : PER Périodiques Résumé : Autistic individuals are at an increased risk for both sleep disturbances and depression. While studies in the general population and in autistic adults have drawn general links between sleep disturbances and mental health, few studies have examined the extent to which specific sleep problems may be implicated in the extremely high rates of depression among autistic adults. This study aimed to describe the patterns of sleep disturbances in autistic young adults, and their associations with depressive symptoms while controlling for relevant demographic factors. A sample of 304 legally independent adults (age 18-35 years old) with a childhood diagnosis of autism spectrum disorder self-reported on their average sleep behaviors during the past week and depressive symptoms on the Beck Depressive Inventory-II. A significant proportion (86.01%) of autistic young adults experienced at least one of the primary sleep disturbances of interest, including short total sleep time (39.59%), poor sleep efficiency (60.07%), and delayed sleep phase (36.18%). Additionally, lower sleep efficiency and delayed sleep phase were both associated with higher depressive symptoms. The associations between sleep and depressive symptoms identified in our study suggest that sleep treatments may hold potential for ameliorating depressive symptoms in autistic adults who also experience sleep problems. Further research using daily sleep diaries and objective measures of sleep behaviors, as well as longitudinal studies, are needed to understand how changes in sleep may relate to changes in depressive symptoms in autistic adults. En ligne : http://dx.doi.org/10.1002/aur.2812 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 [article] Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults [Texte imprimé et/ou numérique] / Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Julie LOUNDS TAYLOR, Auteur ; Ryan E. ADAMS, Auteur ; Florencia PEZZIMENTI, Auteur ; Lauren D. ASARNOW, Auteur ; Somer L. BISHOP, Auteur . - p.2126-2137. Langues : Anglais (eng) in Autism Research > 15-11 (November 2022) . - p.2126-2137 Mots-clés : Humans  Young Adult  Child  Adolescent  Adult  Autistic Disorder/complications  Depression/complications/epidemiology  Autism Spectrum Disorder/complications/epidemiology  Sleep Wake Disorders/complications/epidemiology  Sleep  delayed phase  depression  sleep efficiency  young adults Index. décimale : PER Périodiques Résumé : Autistic individuals are at an increased risk for both sleep disturbances and depression. While studies in the general population and in autistic adults have drawn general links between sleep disturbances and mental health, few studies have examined the extent to which specific sleep problems may be implicated in the extremely high rates of depression among autistic adults. This study aimed to describe the patterns of sleep disturbances in autistic young adults, and their associations with depressive symptoms while controlling for relevant demographic factors. A sample of 304 legally independent adults (age 18-35 years old) with a childhood diagnosis of autism spectrum disorder self-reported on their average sleep behaviors during the past week and depressive symptoms on the Beck Depressive Inventory-II. A significant proportion (86.01%) of autistic young adults experienced at least one of the primary sleep disturbances of interest, including short total sleep time (39.59%), poor sleep efficiency (60.07%), and delayed sleep phase (36.18%). Additionally, lower sleep efficiency and delayed sleep phase were both associated with higher depressive symptoms. The associations between sleep and depressive symptoms identified in our study suggest that sleep treatments may hold potential for ameliorating depressive symptoms in autistic adults who also experience sleep problems. Further research using daily sleep diaries and objective measures of sleep behaviors, as well as longitudinal studies, are needed to understand how changes in sleep may relate to changes in depressive symptoms in autistic adults. En ligne : http://dx.doi.org/10.1002/aur.2812 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488

Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults / China I. Parenteau in Journal of Autism and Developmental Disorders, 54-4 (April 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1538-1548 Titre : Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults Type de document : Texte imprimé et/ou numérique Auteurs : China I. Parenteau, Auteur ; Linnea A. LAMPINEN, Auteur ; Sheila S. GHODS, Auteur ; Julie L. Taylor, Auteur ; Ryan E. ADAMS, Auteur ; Somer L. BISHOP, Auteur ; Shuting ZHENG, Auteur Article en page(s) : p.1538-1548 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Purpose: Daily mood can be influenced by a range of experiences. Identifying everyday life experiences that make autistic adults happy and unhappy holds potential to foster positive mood and tackle mental health problems amongst this group. Methods: A total of 293 autistic adults between the ages of 18 to 35 years old (mean age of 26.51 years old (SD = 4.62); 43.3% female gender, 4.8% nonbinary) provided open-text responses regarding everyday sources of happiness and unhappiness. Using an iterative process of inductive coding, 14 happy themes and 22 unhappy themes of mood-changing life experiences were identified based on self-report qualitative data. Results: Common themes across the happy and unhappy domain involved social partners, social interactions, and engagement in recreational and employment activities, with additional distinct themes specific to happy or unhappy mood. Top themes identified in the happy domain emphasizes encouraging quality relationships and positive interactions with others and cultivating supportive work/societal environments to build a sense of achievement and value. Meanwhile, emotional tolls accompanied negative relationships and interactions, underscoring the necessity to provide autistic adults with conflict resolution and coping skills to increase feelings of happiness. Conclusion: Overall, the wide range of sources of happy and unhappy everyday experiences highlights the importance of considering personal preferences in engagement with others and activities in treatment. En ligne : https://doi.org/10.1007/s10803-023-05892-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526 [article] Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults [Texte imprimé et/ou numérique] / China I. Parenteau, Auteur ; Linnea A. LAMPINEN, Auteur ; Sheila S. GHODS, Auteur ; Julie L. Taylor, Auteur ; Ryan E. ADAMS, Auteur ; Somer L. BISHOP, Auteur ; Shuting ZHENG, Auteur . - p.1538-1548. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1538-1548 Index. décimale : PER Périodiques Résumé : Purpose: Daily mood can be influenced by a range of experiences. Identifying everyday life experiences that make autistic adults happy and unhappy holds potential to foster positive mood and tackle mental health problems amongst this group. Methods: A total of 293 autistic adults between the ages of 18 to 35 years old (mean age of 26.51 years old (SD = 4.62); 43.3% female gender, 4.8% nonbinary) provided open-text responses regarding everyday sources of happiness and unhappiness. Using an iterative process of inductive coding, 14 happy themes and 22 unhappy themes of mood-changing life experiences were identified based on self-report qualitative data. Results: Common themes across the happy and unhappy domain involved social partners, social interactions, and engagement in recreational and employment activities, with additional distinct themes specific to happy or unhappy mood. Top themes identified in the happy domain emphasizes encouraging quality relationships and positive interactions with others and cultivating supportive work/societal environments to build a sense of achievement and value. Meanwhile, emotional tolls accompanied negative relationships and interactions, underscoring the necessity to provide autistic adults with conflict resolution and coping skills to increase feelings of happiness. Conclusion: Overall, the wide range of sources of happy and unhappy everyday experiences highlights the importance of considering personal preferences in engagement with others and activities in treatment. En ligne : https://doi.org/10.1007/s10803-023-05892-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526

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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