Behaviour, cognition, and autism symptoms and their relationship with sleep problem severity in young children with autism spectrum disorder / Stephanie ROUSSIS in Research in Autism Spectrum Disorders, 83 (May 2021)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 83 (May 2021) . - 101743 Titre : Behaviour, cognition, and autism symptoms and their relationship with sleep problem severity in young children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Stephanie ROUSSIS, Auteur ; Amanda L. RICHDALE, Auteur ; Terry KATZ, Auteur ; Beth A. MALOW, Auteur ; Josephine BARBARO, Auteur ; Nancy SADKA, Auteur Article en page(s) : 101743 Langues : Anglais (eng) Mots-clés : Sleep problem  Behaviour  Autism  Young children Index. décimale : PER Périodiques Résumé : Background In autism, poor sleep begins in early childhood, varies in severity and is associated with behavioural difficulties. We examined relationships between sleep and behaviour in young children with autism and no, mild/typical or severe/atypical sleep problems to determine behavioural profiles that may differentiate sleep problem severity. Method Parents of children with autism aged 2- to 5-years reported on their child’s sleep behaviour (CSHQ), including additional written descriptions of sleep behaviours. Children were then classified as good sleepers or as having mild/typical or severe/atypical sleep problems using National Sleep Foundation guidelines and current sleep literature. The three sleep groups were compared on autistic severity (ADOS), cognition (Mullen Scales of Early Leaning) and behaviour (BASC-3). Results Parents of 46 children aged 24- to 71-months participated. The severe/atypical sleep group were more likely to have multiple severe sleep difficulties. The sleep groups did not differ on autism severity or cognition. The BASC-3 withdrawal subscale differentiated severe problem sleepers from the other groups, while BASC-3 inattention differentiated problem sleepers from good sleepers. The severe/atypical sleep problem group also had more overall behaviour problems than good sleepers Conclusions Social withdrawal and multiple, severe sleep difficulties may underlie difficulties in treating poor sleep in some autistic children, suggesting that an individualised approach to treatment is needed to address severe sleep concerns. Early detection and intervention for poor sleep may reduce or prevent significant sleep and behavioural concerns continuing into later childhood. Sleep interventions that include targeting attention and withdrawal behaviours may assist in in this regard. En ligne : https://doi.org/10.1016/j.rasd.2021.101743 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=446 [article] Behaviour, cognition, and autism symptoms and their relationship with sleep problem severity in young children with autism spectrum disorder [Texte imprimé et/ou numérique] / Stephanie ROUSSIS, Auteur ; Amanda L. RICHDALE, Auteur ; Terry KATZ, Auteur ; Beth A. MALOW, Auteur ; Josephine BARBARO, Auteur ; Nancy SADKA, Auteur . - 101743. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 83 (May 2021) . - 101743 Mots-clés : Sleep problem  Behaviour  Autism  Young children Index. décimale : PER Périodiques Résumé : Background In autism, poor sleep begins in early childhood, varies in severity and is associated with behavioural difficulties. We examined relationships between sleep and behaviour in young children with autism and no, mild/typical or severe/atypical sleep problems to determine behavioural profiles that may differentiate sleep problem severity. Method Parents of children with autism aged 2- to 5-years reported on their child’s sleep behaviour (CSHQ), including additional written descriptions of sleep behaviours. Children were then classified as good sleepers or as having mild/typical or severe/atypical sleep problems using National Sleep Foundation guidelines and current sleep literature. The three sleep groups were compared on autistic severity (ADOS), cognition (Mullen Scales of Early Leaning) and behaviour (BASC-3). Results Parents of 46 children aged 24- to 71-months participated. The severe/atypical sleep group were more likely to have multiple severe sleep difficulties. The sleep groups did not differ on autism severity or cognition. The BASC-3 withdrawal subscale differentiated severe problem sleepers from the other groups, while BASC-3 inattention differentiated problem sleepers from good sleepers. The severe/atypical sleep problem group also had more overall behaviour problems than good sleepers Conclusions Social withdrawal and multiple, severe sleep difficulties may underlie difficulties in treating poor sleep in some autistic children, suggesting that an individualised approach to treatment is needed to address severe sleep concerns. Early detection and intervention for poor sleep may reduce or prevent significant sleep and behavioural concerns continuing into later childhood. Sleep interventions that include targeting attention and withdrawal behaviours may assist in in this regard. En ligne : https://doi.org/10.1016/j.rasd.2021.101743 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=446

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

Parent-Based Sleep Education for Children with Autism Spectrum Disorders / Beth A. MALOW in Journal of Autism and Developmental Disorders, 44-1 (January 2014)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 44-1 (January 2014) . - p.216-228 Titre : Parent-Based Sleep Education for Children with Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Beth A. MALOW, Auteur ; Karen W. ADKINS, Auteur ; Ann REYNOLDS, Auteur ; Shelly K. WEISS, Auteur ; Alvin LOH, Auteur ; Diane FAWKES, Auteur ; Terry KATZ, Auteur ; Suzanne E. GOLDMAN, Auteur ; Niru MADDURI, Auteur ; Rachel J. HUNDLEY, Auteur ; Traci E. CLEMONS, Auteur Article en page(s) : p.216-228 Langues : Anglais (eng) Mots-clés : Insomnia  Actigraphy  Children’s Sleep Habits Questionnaire  Repetitive Behavior Scale-Revised  Child Behavior Checklist Index. décimale : PER Périodiques Résumé : This study provided sleep education to parents of children with autism spectrum disorder (ASD) to determine whether an individual or group format was more effective in improving sleep and aspects of daytime behavior and family functioning. Eighty children, ages 2–10 years, with ASD and sleep onset delay completed the study. Actigraphy and parent questionnaires were collected at baseline and 1 month after treatment. Mode of education did not affect outcomes. Sleep latency, insomnia subscales on the Children’s Sleep Habits Questionnaire, and other outcomes related to child and family functioning improved with treatment. Parent-based sleep education, delivered in relatively few sessions, was associated with improved sleep onset delay in children with ASD. Group versus individualized education did not affect outcome. En ligne : http://dx.doi.org/10.1007/s10803-013-1866-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=220 [article] Parent-Based Sleep Education for Children with Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Beth A. MALOW, Auteur ; Karen W. ADKINS, Auteur ; Ann REYNOLDS, Auteur ; Shelly K. WEISS, Auteur ; Alvin LOH, Auteur ; Diane FAWKES, Auteur ; Terry KATZ, Auteur ; Suzanne E. GOLDMAN, Auteur ; Niru MADDURI, Auteur ; Rachel J. HUNDLEY, Auteur ; Traci E. CLEMONS, Auteur . - p.216-228. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 44-1 (January 2014) . - p.216-228 Mots-clés : Insomnia  Actigraphy  Children’s Sleep Habits Questionnaire  Repetitive Behavior Scale-Revised  Child Behavior Checklist Index. décimale : PER Périodiques Résumé : This study provided sleep education to parents of children with autism spectrum disorder (ASD) to determine whether an individual or group format was more effective in improving sleep and aspects of daytime behavior and family functioning. Eighty children, ages 2–10 years, with ASD and sleep onset delay completed the study. Actigraphy and parent questionnaires were collected at baseline and 1 month after treatment. Mode of education did not affect outcomes. Sleep latency, insomnia subscales on the Children’s Sleep Habits Questionnaire, and other outcomes related to child and family functioning improved with treatment. Parent-based sleep education, delivered in relatively few sessions, was associated with improved sleep onset delay in children with ASD. Group versus individualized education did not affect outcome. En ligne : http://dx.doi.org/10.1007/s10803-013-1866-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=220

Predicting future sleep problems in young autistic children / Amy M SHUI in Autism, 27-7 (October 2023)  

Public ISBD [article]  inAutism > 27-7 (October 2023) . - p.2063-2085 Titre : Predicting future sleep problems in young autistic children Type de document : Texte imprimé et/ou numérique Auteurs : Amy M SHUI, Auteur ; Linnea A LAMPINEN, Auteur ; Amanda RICHDALE, Auteur ; Terry KATZ, Auteur Article en page(s) : p.2063-2085 Langues : Anglais (eng) Mots-clés : autism spectrum disorders  Children?s Sleep Habits Questionnaire  insomnia  sensory issues  sleep measures Index. décimale : PER Périodiques Résumé : Sleep problems are common in autistic children and adversely impact daytime functioning. Knowledge of predictive factors could help with treatment and prevention of these problems. This study aimed to determine predictors of sleep problems among young autistic children. Study cohorts consisted of autistic children aged 2-5?years who did not have sleep problems at a first visit and had sleep measure data available at a subsequent visit. Sleep problems for five study cohorts were defined by different methods: Children?s Sleep Habits Questionnaire with two cutoff scores (41 and 48; cohort n=101 and 204, respectively), Children?s Sleep Habits Questionnaire-autism derived cutoff score (35; n=188), and parent- (n=205) or clinician- (n=252) report. Separate predictive models of sleep problems were developed in each cohort using multivariable logistic regression with final model predictors determined by backward elimination selection. Model performance was evaluated. Two of the five models had both adequate discrimination and calibration performance predicting (1) Children?s Sleep Habits Questionnaire score???48 and (2) Children?s Sleep Habits Questionnaire-autism score???35. In both models, self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may be useful in helping clinicians provide prevention strategies or early intervention for children who are at a higher risk of developing sleep problems.Lay abstractSleep problems are common in autistic children and negatively impact daytime functioning. A method for predicting sleep problems could help with treatment and prevention of such problems. This study aimed to determine predictors of sleep problems among young autistic children. Study participants consisted of autistic children aged 2-5?years who did not have sleep problems at a first visit (Autism Treatment Network Registry) and had sleep data available at a subsequent visit (Registry Call-Back Assessment study). Sleep problems for five study cohorts of children were defined by different methods, including parent questionnaires and parent- or clinician-report of sleep problems. We found that self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may help clinicians provide prevention or earlier treatment for children who are at risk of developing sleep problems. En ligne : http://dx.doi.org/10.1177/13623613231152963 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510 [article] Predicting future sleep problems in young autistic children [Texte imprimé et/ou numérique] / Amy M SHUI, Auteur ; Linnea A LAMPINEN, Auteur ; Amanda RICHDALE, Auteur ; Terry KATZ, Auteur . - p.2063-2085. Langues : Anglais (eng) in Autism > 27-7 (October 2023) . - p.2063-2085 Mots-clés : autism spectrum disorders  Children?s Sleep Habits Questionnaire  insomnia  sensory issues  sleep measures Index. décimale : PER Périodiques Résumé : Sleep problems are common in autistic children and adversely impact daytime functioning. Knowledge of predictive factors could help with treatment and prevention of these problems. This study aimed to determine predictors of sleep problems among young autistic children. Study cohorts consisted of autistic children aged 2-5?years who did not have sleep problems at a first visit and had sleep measure data available at a subsequent visit. Sleep problems for five study cohorts were defined by different methods: Children?s Sleep Habits Questionnaire with two cutoff scores (41 and 48; cohort n=101 and 204, respectively), Children?s Sleep Habits Questionnaire-autism derived cutoff score (35; n=188), and parent- (n=205) or clinician- (n=252) report. Separate predictive models of sleep problems were developed in each cohort using multivariable logistic regression with final model predictors determined by backward elimination selection. Model performance was evaluated. Two of the five models had both adequate discrimination and calibration performance predicting (1) Children?s Sleep Habits Questionnaire score???48 and (2) Children?s Sleep Habits Questionnaire-autism score???35. In both models, self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may be useful in helping clinicians provide prevention strategies or early intervention for children who are at a higher risk of developing sleep problems.Lay abstractSleep problems are common in autistic children and negatively impact daytime functioning. A method for predicting sleep problems could help with treatment and prevention of such problems. This study aimed to determine predictors of sleep problems among young autistic children. Study participants consisted of autistic children aged 2-5?years who did not have sleep problems at a first visit (Autism Treatment Network Registry) and had sleep data available at a subsequent visit (Registry Call-Back Assessment study). Sleep problems for five study cohorts of children were defined by different methods, including parent questionnaires and parent- or clinician-report of sleep problems. We found that self-injurious behavior, sensory issues, dental problems, and lower primary caregiver education level were significant risk factors of future sleep problems. These predictors may help clinicians provide prevention or earlier treatment for children who are at risk of developing sleep problems. En ligne : http://dx.doi.org/10.1177/13623613231152963 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510

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

The Autism Impact Measure (AIM): Initial Development of a New Tool for Treatment Outcome Measurement / Stephen M. KANNE in Journal of Autism and Developmental Disorders, 44-1 (January 2014)  

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Understanding definitions of minimally verbal across instruments: evidence for subgroups within minimally verbal children and adolescents with autism spectrum disorder / Vanessa H. BAL in Journal of Child Psychology and Psychiatry, 57-12 (December 2016)  

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