Sleep Disturbances in Autism Spectrum Disorders

Sleep complaints in individuals with SYNGAP1-associated syndrome

Neurodevelopmental disorders pose significant clinical challenges related to atypical brain development, often manifesting as learning disabilities, developmental delays, intellectual deficits, behavioral issues, epilepsy, and sleep disturbances. Among genetic neuropsychiatric conditions, synaptopathies are notable for their impact on synaptic function, resulting in varied neuropsychiatric phenotypes. Among these, SYNGAP1-associated syndrome is characterized by intellectual disability, global developmental delay, autism, and epilepsy, primarily due to loss-of-function mutations. This study explored sleep behaviors in children with SYNGAP1-associated syndrome, using the Children's Sleep Habit Questionnaire and the Sleep Disturbance Scale for Children, comparing results with neurotypical controls matched for age and sex. The cohort included 23 individuals with confirmed SYNGAP1 mutations. Results indicated that 78.3 % of participants had epilepsy, often resistant to treatment. Neurodivergent individuals had significantly higher sleep disturbance scores than neurotypical peers, exhibiting increased bedtime resistance, longer sleep durations, and more frequent night awakenings. Additionally, neurodivergent children showed a greater need for parental presence to fall asleep and struggled with sleeping away from home. Neurodivergents' caregivers reported poor sleep quality, emphasizing the complex dynamics of caregiving in these situations. The study highlights the urgent need for targeted interventions to enhance sleep quality for affected children and their caregivers, underscoring the critical link between neurodevelopmental disorders and sleep disturbances.

Effects of Ball Combination Exercise Combined with cTBS Intervention on Sleep Problems in Children with Autism

Sleep problems significantly affect the quality of life of autism spectrum disorder (ASD) children. This study aimed to evaluate the effects of a 12-week ball combination exercise, continuous theta burst stimulation (cTBS) stimulation, and combined intervention on sleep problems in children with ASD. Forty-five ASD children were divided into three intervention groups (ball combination exercise(n = 12), cTBS stimulation(n = 10), combined (n = 12) and a control group (n = 11). The intervention groups underwent intervention, while the control group maintained daily activities. The effects were assessed using the Children's Sleep Habits Questionnaire (CSHQ) scale. The results revealed that after 12 weeks of intervention, three programs reduced sleep problems in children with ASD. The post-test scores of the cTBS group (p = 0.002) and the combined group (p < 0.001) were significantly lower than the baseline scores on the CSHQ scale. The exercise group (p = 0.002) and the combined group (p < 0.001) showed significant improvement in sleep anxiety, while there was no statistically significant difference in the effectiveness of the three interventions for sleep-onset delay. The combined group outperformed the single intervention groups in the CSHQ score and sleep anxiety sub-dimensions. The combined intervention group showed slightly superior performance in sleep onset latency, however, there was no significant difference. Three interventions alleviated sleep issues in ASD children, with the combined method proving more effective. This study validates non-pharmacologic and combined approaches for ASD sleep problems. Future research should delve deeper into the mechanisms of these interventions in ASD children's sleep improvement.

The impact of the physical activity intervention on sleep in children and adolescents with autism spectrum disorder: A systematic review and meta-analysis

Pharmacological treatments (i.e., melatonin) and non-pharmacological therapies (e.g., parent-based sleep education programs and behavioural interventions) have been found to result in improved sleep in children and adolescents with autism spectrum disorder (ASD). However, there are several limitations to these treatment approaches, including concerns about the possible side-effects and safety, high-cost and uncertainties of long-term effects. Physical activity (PA) intervention is a promising behavioural intervention that has received increasing attention. However, the effects of PA intervention on sleep are still unclear in this clinical group. This study aimed to synthesize available empirical studies concerning the effects of PA interventions on sleep in children and adolescents with ASD. Following PRISMA guidelines, seven electronic databases: APA PsychInfo, CINAHL Ultimate, ERIC, MEDLINE, PubMed, SPORTDiscus, and Web of Science, were searched from inception to March 2023. Randomized controlled trials/quasi-experimental designs with comparison groups were included. Initially, 444 articles were identified, 13 articles underwent systematic review, and 8 studies with control groups and sufficient statistical data were selected for meta-analysis. Compared to no-treatment control groups, PA interventions had a large positive effect on parent-reported general sleep problems, night awakenings, sleep resistance, sleep duration and actigraphy-assessed sleep efficiency in children and adolescents with ASD.

Neuronal knockdown of Cullin3 as a Drosophila model of autism spectrum disorder

Mutations in Cullin-3 (Cul3), a conserved gene encoding a ubiquitin ligase, are strongly associated with autism spectrum disorder (ASD). Here, we characterize ASD-related pathologies caused by neuron-specific Cul3 knockdown in Drosophila. We confirmed that neuronal Cul3 knockdown causes short sleep, paralleling sleep disturbances in ASD. Because sleep defects and ASD are linked to metabolic dysregulation, we tested the starvation response of neuronal Cul3 knockdown flies; they starved faster and had lower triacylglyceride levels than controls, suggesting defects in metabolic homeostasis. ASD is also characterized by increased biomarkers of oxidative stress; we found that neuronal Cul3 knockdown increased sensitivity to hyperoxia, an exogenous oxidative stress. Additional hallmarks of ASD are deficits in social interactions and learning. Using a courtship suppression assay that measures social interactions and memory of prior courtship, we found that neuronal Cul3 knockdown reduced courtship and learning compared to controls. Finally, we found that neuronal Cul3 depletion alters the anatomy of the mushroom body, a brain region required for memory and sleep. Taken together, the ASD-related phenotypes of neuronal Cul3 knockdown flies establish these flies as a genetic model to study molecular and cellular mechanisms underlying ASD pathology, including metabolic and oxidative stress dysregulation and neurodevelopment.

Age-Related Differences in Accelerometer-Assessed Physical Activity and Sleep Parameters Among Children and Adolescents With and Without Autism Spectrum Disorder: A Meta-Analysis

Importance

Physical inactivity and sleep disorders are health-related concerns of youth with autism spectrum disorder (ASD) that can persist from childhood and exacerbate core symptoms. However, evidence on group differences in accelerometer-assessed physical activity and sleep parameters among youth with and without ASD is inconclusive and age-specific effects remain unclear.

Objective

To synthesize evidence on group differences in accelerometer-assessed physical activity and sleep parameters and examine the moderating effects of age between children and adolescents with and without ASD.

Data Sources

American Psychological Association PsychInfo, CINAHL Ultimate, ERIC, MEDLINE, SPORTDiscus with Full Text, and Web of Science from inception to February 2023.

Study Selection

Two independent reviewers screened articles for observational research comparing accelerometer-assessed physical activity levels and sleep parameters in children and adolescents with and without ASD.

Data Extraction and Synthesis

After developing a standardized form, relevant data were extracted. Quality was assessed using the McMaster Critical Review Form and rated based on sample, measurement, and analyses. The Preferring Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed.

Main Outcomes and Measures

The primary outcomes were actigraphy-measured MVPA, sleep latency, sleep efficiency, total sleep time, and wake after sleep onset. Data were pooled using a random-effects model. Hedges g was used to express the effect size index. Meta-regression on age was also performed to investigate the potential moderating effects.

Results

Collectively, 1757 studies were initially identified. Among 104 articles that were assessed, 28 were included, comprising moderate-to-vigorous physical activity (MVPA), 4 sleep parameters, and 73 independent effect sizes. A total of 28 studies were included in analysis, comprising 805 children and adolescents with ASD and 1573 without ASD (age range, 5.1-16.9 years). Compared with peers without ASD, children and adolescents with ASD had a small-to-moderate difference in MVPA (g = -0.450; 95% CI, -0.622 to -0.277), total sleep time (g = -0.332; 95% CI, -0.574 to -0.090), sleep efficiency (g = -0.424; 95% CI, -0.645 to -0.203), and a moderate difference in sleep latency (g = 0.514; 95% CI, 0.351 to 0.677) measured by actigraphy. Children and adolescents with ASD experienced an age-related decline in moderate-to-vigorous physical activity (β = -0.049 [95% CI, -0.097 to -0.001]; P = .045), indicating that younger children with ASD showed a smaller difference in MVPA compared with their peers without ASD. Moderating effects of age on sleep parameters were not significant.

Conclusions and Relevance

The findings of this meta-analysis suggested that children and adolescents with ASD had lower MVPA and worse sleep than peers without ASD, and the difference in MVPA varied with age. These findings reinforce the need for public health initiatives aimed at reducing these group disparities.

The association between eveningness and autistic traits: Mediating effects of depression and insomnia

There is a lack of research on the relationships between autistic traits and morningness-eveningness. The current research explored associations between autistic traits (preferences for routine, difficulties with imagination, difficulties with social skills, fixations with numbers and patterns, and difficulties with attention switching) and morningness-eveningness, including the component of Morning Affect (alertness/energy upon awakening). The potential mediation effects of depression and insomnia were also tested. 163 adults (university students and general population) completed an online survey including questionnaire measures of autistic traits, morningness-eveningness, depression, and insomnia. Positive correlations were found between most autistic trait subcomponents, depression, and insomnia. The autistic trait of difficulties in attention switching was correlated with more eveningness and with less Morning Affect, but significant correlations were not observed with any other autistic trait. Depression mediated the relationship between eveningness and difficulties in attention switching. Although insomnia alone was not a significant mediator, when combined with depression in a serial mediator model, a significant mediation effect was shown. The current results suggest that greater eveningness may be related with the autistic trait of difficulties in attention switching possibly through the mechanism of increased insomnia and elevated risk for depression. These findings may potentially inform interventions.

Stronger Associations Between Sleep and Mental Health in Adults with Autism: A UK Biobank Study

This study examined sleep and its cognitive and affective correlates in adults with and without autism spectrum disorder (ASD), utilizing UK Biobank data. There were no group differences in subjective sleep duration [n = 220 ASD; n = 2200 general population (GP)]. Accelerometer measures of sleep duration or nighttime activity did not differ by group, but sleep efficiency was marginally lower in ASD (n = 83 ASD; n = 824 GP). Sleep efficiency was associated with wellbeing and mental health, and pathways between accelerometer sleep measures and wellbeing and mental health were significantly stronger for adults with ASD (who also reported substantially poorer wellbeing and > 5 × likelihood of experiencing mental distress). These findings highlight the need to monitor sleep to maintain good mental health in adult ASD.

No difference in extra-axial cerebrospinal fluid volumes across neurodevelopmental and psychiatric conditions in later childhood and adolescence

BACKGROUND

While autism spectrum disorder has been associated with various organizational and developmental aberrations in the brain, an increase in extra-axial cerebrospinal fluid volume has recently garnered attention. A series of studies indicate that an increased volume between the ages of 6 months and 4 years was both predictive of the autism diagnosis and symptom severity regardless of genetic risk for the condition. However, there remains a minimal understanding regarding the specificity of an increased volume of extra-axial cerebrospinal fluid to autism.

METHODS

In the present study, we explored extra-axial cerebrospinal fluid volumes in children and adolescents ages 5-21 years with various neurodevelopmental and psychiatric conditions. We hypothesized that an elevated extra-axial cerebrospinal fluid volume would be found in autism compared with typical development and the other diagnostic group. We tested this hypothesis by employing a cross-sectional dataset of 446 individuals (85 autistic, 60 typically developing, and 301 other diagnosis). An analysis of covariance was used to examine differences in extra-axial cerebrospinal fluid volumes between these groups as well as a group by age interaction in extra-axial cerebrospinal fluid volumes.

RESULTS

Inconsistent with our hypothesis, we found no group differences in extra-axial cerebrospinal fluid volume in this cohort. However, in replication of previous work, a doubling of extra-axial cerebrospinal fluid volume across adolescence was found. Further investigation into the relationship between extra-axial cerebrospinal fluid volume and cortical thickness suggested that this increase in extra-axial cerebrospinal fluid volume may be driven by a decrease in cortical thickness. Furthermore, an exploratory analysis found no relationship between extra-axial cerebrospinal fluid volume and sleep disturbances.

CONCLUSIONS

These results indicate that an increased volume of extra-axial cerebrospinal fluid may be limited to autistic individuals younger than 5 years. Additionally, extra-axial cerebrospinal fluid volume does not differ between autistic, neurotypical, and other psychiatric conditions after age 4.

Bioinformatics and System Biology Techniques to Determine Biomolecular Signatures and Pathways of Prion Disorder

Prion disorder (PD) is caused by misfolding and the formation of clumps of proteins in the brain, notably Prion proteins resulting in a steady decrease in brain function. Early detection of PD is difficult due to its unpredictable nature, and diagnosis is limited regarding specificity and sensitivity. Considering the uncertainties, the current study used network-based integrative system biology approaches to reveal promising molecular biomarkers and therapeutic targets for PD. In this study, brain transcriptomics gene expression microarray datasets (GSE160208 and GSE124571) of human PD were evaluated and 35 differentially expressed genes (DEGs) were identified. By employing network-based protein-protein interaction (PPI) analysis on these DEGs, 10 central hub proteins, including SPP1, FKBP5, HPRT1, CDKN1A, BAG3, HSPB1, SYK, TNFRSF1A, PTPN6, and CD44, were identified. Employing bioinformatics approaches, a variety of transcription factors (EGR1, SSRP1, POLR2A, TARDP, and NR2F1) and miRNAs (hsa-mir-8485, hsa-mir-148b-3p, hsa-mir-4295, hsa-mir-26b-5p, and hsa-mir-16-5p) were predicted. EGR1 was found as the most imperative transcription factor (TF), and hsa-mir-16-5p and hsa-mir-148b-3p were found as the most crucial miRNAs targeted in PD. Finally, resveratrol and hypochlorous acid were predicted as possible therapeutic drugs for PD. This study could be helpful in better understanding of molecular systems and prospective pharmacological targets for developing effective PD treatments.

Sleep Disturbance Scale for Children: Italian Validation in Autism Spectrum Disorder Population

Sleep disorders in children with autism spectrum disorders (ASDs) are well-described. However, there is a lack of specific assessment tools to investigate sleep disturbance in this target population. The present investigation reports the Italian validation of the Sleep Disturbance Scale for Children (SDSC) in the ASD population, also investigating the correlation between sleep disorders In both children and parents. Internal consistency and test−retest reliability were investigated using Cronbach’s alpha and intraclass correlation coefficient (ICC), respectively. Concurrent validity was analyzed by comparing the score of the SDSC with the Pittsburgh Sleep Quality Index (PSQI), while the correlation between the SDCS score and the General Sleep Disturbance Scale (GSDS) was used to analyze the correlation between sleep disorders in children and sleep disorders in their parents. In total, 99 children with a diagnosis of ASD participated in the study. Cronbach’s alpha revealed satisfactory value (0.853), as well as reliability (ICC 0.972) and concurrent validity (0.745). Our results also revealed a significant linear correlation between children’s and parents’ sleep disorders (p < 0.05). In conclusion, we found the SDSC to be a useful tool for measuring sleep disorders in ASD children. Our findings offer concrete inputs to achieve adequate pathways for taking care of children with ASDs and their parents.

Transdermal Electrical Neuromodulation for Anxiety and Sleep Problems in High-Functioning Autism Spectrum Disorder: Feasibility and Preliminary Findings

BACKGROUND

Autism spectrum disorder (ASD) is associated with anxiety and sleep problems. We investigated transdermal electrical neuromodulation (TEN) of the cervical nerves in the neck as a safe, effective, comfortable and non-pharmacological therapy for decreasing anxiety and enhancing sleep quality in ASD.

METHODS

In this blinded, sham-controlled study, seven adolescents and young adults with high-functioning ASD underwent five consecutive treatment days, one day of the sham followed by four days of subthreshold TEN for 20 min. Anxiety-provoking cognitive tasks were performed after the sham/TEN. Measures of autonomic nervous system activity, including saliva α-amylase and cortisol, electrodermal activity, and heart rate variability, were collected from six participants.

RESULTS

Self-rated and caretaker-rated measures of anxiety were significantly improved with TEN treatment as compared to the sham, with effect sizes ranging from medium to large depending on the rating scale. Sleep scores from caretaker questionnaires also improved, but not significantly. Performance on two of the three anxiety-provoking cognitive tasks and heart rate variability significantly improved with TEN stimulation as compared to the sham. Four of the seven (57%) participants were responders, defined as a ≥ 30% improvement in self-reported anxiety. Salivary α-amylase decreased with more TEN sessions and decreased from the beginning to the end of the session on TEN days for responders. TEN was well-tolerated without significant adverse events.

CONCLUSIONS

This study provides preliminary evidence that TEN is well-tolerated in individuals with ASD and can improve anxiety.

Quantitative-Analysis of Behavioral Interventions to Treat Sleep Problems in Children with Autism

Sleep is an essential activity for human development. Often, children with autism spectrum disorder (ASD) are affected by a lack of sleep due to various types of sleep problems. We identified and analyzed studies that were aimed at utilizing sleep interventions for children with ASD. A systematic search of databases, reference lists, and ancestral searches identified 18 studies for inclusion. Studies were summarized in terms of (a) participants, (b) targeted sleep problem and measures, (d) intervention components, (e) research design and rigor, and (f) results. The aim of this review was to analyze the literature by evaluating the most commonly treated sleep problems, the various treatment components, and strength of the results using a between case parametric effect size estimate. The most commonly treated sleep problems were night wakings and bedtime disturbance. For interventions, all the studies incorporated multiple treatment components, most often including the use of a consistent bedtime routine. Effect size calculations indicated a moderate effect size, however, limited due to the small number of studies. Results suggest the overall effectiveness of behavioral interventions for the treatment of sleep problems for children with ASD. Based on our analysis, suggestions for practitioners regarding current practices and future directions for research are discussed.

Relationship Between Sleep and Behavior in Autism Spectrum Disorder: Exploring the Impact of Sleep Variability

Objective

The relationship between sleep (caregiver-reported and actigraphy-measured) and other caregiver-reported behaviors in children and adults with autism spectrum disorder (ASD) was examined, including the use of machine learning to identify sleep variables important in predicting anxiety in ASD.

Methods

Caregivers of ASD (n = 144) and typically developing (TD) (n = 41) participants reported on sleep and other behaviors. ASD participants wore an actigraphy device at nighttime during an 8 or 10-week non-interventional study. Mean and variability of actigraphy measures for ASD participants in the week preceding midpoint and endpoint were calculated and compared with caregiver-reported and clinician-reported symptoms using a mixed effects model. An elastic-net model was developed to examine which sleep measures may drive prediction of anxiety.

Results

Prevalence of caregiver-reported sleep difficulties in ASD was approximately 70% and correlated significantly (p < 0.05) with sleep efficiency measured by actigraphy. Mean and variability of actigraphy measures like sleep efficiency and number of awakenings were related significantly (p < 0.05) to ASD symptom severity, hyperactivity and anxiety. In the elastic net model, caregiver-reported sleep, and variability of sleep efficiency and awakenings were amongst the important predictors of anxiety.

Conclusion

Caregivers report problems with sleep in the majority of children and adults with ASD. Reported problems and actigraphy measures of sleep, particularly variability, are related to parent reported behaviors. Measuring variability in sleep may prove useful in understanding the relationship between sleep problems and behavior in individuals with ASD. These findings may have implications for both intervention and monitoring outcomes in ASD.

Sleep-behaviour relationship in children with autism spectrum disorder: methodological pitfalls and insights from cognition and sensory processing

Sleep disturbances are frequent and varied in autism spectrum disorder (ASD). Growing evidence suggests that sleep problems in children with ASD are driven by their clinical characteristics and psychiatric comorbidities. Therefore, the wide range of reported sleep disturbances reflects the marked heterogeneity of clinical pictures in ASD. Whether sleep disturbances and their various forms may, in turn, account for at least part of the phenotypical variability of ASD is a crucial question discussed in this review. We first outline studies both validating and challenging a bidirectional theoretical framework for sleep disorders in children with ASD. We then propose to extend this model by including cognition and sensory processing as key factors in the vicious circle linking sleep disorders and autistic symptoms. WHAT THIS PAPER ADDS: There is a bidirectional interplay between autism symptoms and sleep disturbances. Sleep influence on daytime cognitive and sensory skills should be further investigated.

Sleep disturbances and associated factors among 2-6-year-old male children with autism in Bhubaneswar, India

BACKGROUND

Sleep disturbances are considered one of the significant comorbidities of autism; they negatively impact the quality of life of children with autism as well as their parents or caregivers. This study aimed to determine the prevalence of sleep disturbances in Indian male children diagnosed with autism and examine the association of lifestyle behaviors and socio-demographic characteristics with sleep problems.

METHODS

The present cross-sectional study was conducted in Bhubaneswar city in the year 2018, involving mothers of 100 male children with autism aged 2-6 years. We used a children's sleep habits questionnaire (CSHQ) to evaluate the sleep problems in children with autism and a semi-structured schedule for gathering information regarding lifestyle behaviors and socio-demographic characteristics.

RESULTS

The overall prevalence of parent-reported sleep problems was 93%; the most prevalent CSHQ subscales were: bedtime resistance (95%), sleep anxiety (85%), and sleep duration (81%). The mean ISAA score of the study sample was 133.89 ± 19.59, where 12%, 71%, and 17% of the children had mild, moderate, and severe autism, respectively. Multiple linear regression analysis revealed that variables such as autism severity, screen time, caffeine intake, physical activity, maternal age, child's age, and birth weight were significantly associated with the CSHQ subscales.

CONCLUSION

The prevalence of parent-reported sleep problems is very high among the male children with autism in Bhubaneswar, India, and there is an urgent need for interventional measures for appropriate management of this problem among these children.

Relations between caregiver-report of sleep and executive function problems in children with autism spectrum disorder and attention-deficit/hyperactivity disorder

BACKGROUND

Many children with autism spectrum disorder (ASD) experience comorbid symptoms of attention-deficit/hyperactivity disorder (ADHD). Additionally, children with ASD and ADHD often have sleep disturbances and deficits in executive functioning (EF). In typical development, sleep disturbances are causally linked to EF deficits and exacerbate ADHD-like symptoms.

AIM

The aim of this study was to determine whether caregiver-report sleep and EF difficulties predict ADHD symptoms in children with ASD.

METHODS

Caregiver-report of child sleep, EF, and ADHD symptom severity was collected for 101 children with ASD, 7-11 years of age. Hierarchical linear regressions tested the independent and interactive effects of sleep and EF in predicting ADHD symptoms.

RESULTS

Children with ASD were more likely to have symptoms of ADHD if they experienced both sleep and EF difficulties. Children with difficulties in working memory were particularly at risk for clinically significant symptoms of ADHD. Notably, however, sleep did not mediate or moderate the relation between working memory and ADHD symptoms in this sample, suggesting that these variables act through independent mechanisms to increase vulnerability for comorbidity.

CONCLUSIONS

These results have clinical significance as sleep and EF deficits may identify an ASD subgroup that is at increased risk for a comorbid ADHD diagnosis.

Subjective Assessment of Sleep in Infantile Autism: A Comparative Study

Sleep disturbances are very common in children with autism; it is for this reason that instruments that facilitate their evaluation are necessary. Objectives: Perform sleep assessment from a subjective perspective in a group of children with primary autism and compare them with a control group, using the Sleep Habits in Children Survey (CSHQ), with the purpose of determining sleep disturbances according to the subscales used. Method: A prospective cross-sectional study was conducted in a group of 21 patients with primary autism. For the evaluation of sleep disturbances, we chose the CSHQ survey. The differences between the independent groups were calculated by applying a Mann–Whitney U test. Results: In the group of children with autism, higher values of the total scale were observed in comparison with the control group (p = 0.00) which It is congruent with a large sleep dysfunction. Significant differences were observed for all subscales (p = 0.00), with the exception of the subscale number 7. Conclusions: A high presence of sleep disturbances was observed in children with primary autism, with the exception of sleep breathing disorders, which did not show significant differences between the groups.

Melatonin and Comorbidities in Children with Autism Spectrum Disorder

PURPOSE OF REVIEW

Melatonin is used to treat sleep difficulties associated with autism spectrum disorder (ASD). There are growing evidence that melatonin could have an effect on other symptoms than sleep, such as anxiety, depression, pain, and gastrointestinal dysfunctions. Interestingly, these symptoms frequently are found as comorbid conditions in individuals with ASD. We aimed to highlight the potential effect of melatonin on these symptoms.

RECENT FINDINGS

Animal and human studies show that melatonin reduces anxiety. Regarding the effect of melatonin on pain, animal studies are promising, but results remain heterogeneous in humans. Both animal and human studies have found that melatonin can have a positive effect on gastrointestinal dysfunction.

SUMMARY

Melatonin has the potential to act on a wide variety of symptoms associated with ASD. However, other than sleep difficulties, no studies exist on melatonin as a treatment for ASD comorbid conditions. Such investigations should be on the research agenda because melatonin could improve a multitude of ASD comorbidities and, consequently, improve well-being.

Exploring sleep quality of young children with autism spectrum disorder and disruptive behaviors

BACKGROUND AND PURPOSE

Sleep disturbances in autism spectrum disorder (ASD) are common and may impair daytime functioning as well as add to parental burden. In this well characterized sample of young children with ASD and disruptive behaviors, we examine the association of age and IQ in sleep disturbances using the Child Sleep Habits Questionnaire modified for ASD (CSHQ-ASD). We also test whether children with poor sleep have greater daytime behavioral problems than those with better sleep. Finally, we examine whether parental stress is higher in children with greater disruptive behaviors and sleep disturbances.

PARTICIPANTS AND METHODS

One hundred and seventy-seven children with complete data out of 180 (mean age 4.7) with ASD participated in a randomized clinical trial. Parents completed the CSHQ-ASD and several other measures at study enrollment. The sample was divided into "poor sleepers" (upper quartile on the total score of the CSHQ-ASD) and "good sleepers" (lower quartile) for comparisons. Analyses were conducted to evaluate group differences on age, IQ, daytime disruptive behavior, social disability and parental stress.

RESULTS

The two groups of young children with ASD, good sleepers versus poor sleepers, were not different on age or cognitive level. Children in the poor sleeping group had significantly higher daytime behavioral problems including irritability, hyperactivity, social withdrawal and stereotypical behaviors. Parents in this group reported significantly higher levels of stress.

CONCLUSIONS

The finding of no age difference between good and poor sleepers in young children with ASD and disruptive behaviors suggests that sleep problems are unlikely to resolve as might be expected in typically developing children. Likewise, the good and poor sleepers did not significantly differ in IQ. These findings add strong support for the need to screen for sleep disturbances in all children with ASD, regardless of age and cognitive level. Poor sleepers exhibited significantly greater daytime behavioral problems and parents of children in this group reported significantly higher levels of stress. Above and beyond the co-occurring disruptive behavior, poor sleep quality appears to pose substantial additive burden on child and parents.

Assessment of Sleep in Children with Autism Spectrum Disorder

Sleep disturbances in children with autism spectrum disorder (ASD) are significantly more prevalent than found in typically developing (TD) children. Given the detrimental impact of poor sleep on cognitive, emotional, and behavioral functioning, it is imperative to screen and assess for sleep disturbances in this population. In this paper, we describe the screening and assessment process, as well as specific measures commonly used for assessing sleep in children with ASD. Advantages and limitations for use in children with ASD are discussed. While subjective measures, such as parent-report questionnaires and sleep diaries, are the most widely used, more objective measures such as actigraphy, polysomnography, and videosomnography provide additional valuable information for both diagnostic purposes and treatment planning. These objective measures, nonetheless, are limited by cost, availability, and feasibility of use with children with ASD. The current review provides an argument for the complementary uses of both subjective and objective measures of sleep specifically for use in children with ASD.

Bedtime Electronic Media Use and Sleep in Children with Autism Spectrum Disorder

OBJECTIVES

The purpose of this study was to better understand the use of screen-based media at bedtime among children with autism spectrum disorder (ASD). The study specifically examined whether the presence of media devices in the child's bedroom, the use of media as part of the bedtime routine, and exposure to media with violent content just before bedtime were associated with sleep difficulties.

METHODS

Parents of 101 children with ASD completed questionnaires assessing their children's sleep habits, bedroom media access (including television, video game devices, and computers), and patterns of nighttime media use (including timing of media exposure and violent media content).

RESULTS

Children with ASD who used media as part of the bedtime routine showed significantly greater sleep onset latency than those who did not (39.8 vs 16.0 minutes). Similarly, children who were exposed to media with violent content within the 30-minute period before bedtime experienced significantly greater sleep onset delays and shorter overall sleep duration. In contrast, the mere presence of bedroom media was not associated with either sleep onset latency or sleep duration.

CONCLUSION

Overall, these findings indicate that incorporating television and video games into the bedtime routine is associated with sleep onset difficulties among children with ASD. Exposure to violent media before bed is also associated with poor sleep. Families of children with ASD should be encouraged to regulate and monitor the timing and content of television and video game use, whether or not such devices are physically present in the child's bedroom.