Autistic adolescents are vulnerable to sleep difficulties, with up to 80 % experiencing sleep problems, most commonly insomnia. Little is known about how autistic adolescents are involved in their own sleep treatment, and their depth of knowledge about their sleep difficulties. The aims of this study were to investigate autistic adolescent and parent perspectives of experiencing and managing insomnia, and what factors influence the development of these perspectives on insomnia and treatment.

Semi-structured interviews were conducted with 11 autistic adolescents with insomnia (45 % female, mean age 11.6 years) and 16 parents of an autistic adolescent with insomnia (94 % female, mean age 45.1 years). A qualitative content analytic approach was used to identify categories in the data.

Adolescents often perceived themselves to sleep well, despite reporting symptoms and functional outcomes of insomnia. Insomnia was managed through a range of intentional routine activities involving sounds, stimulus reduction, and regular bedtimes. Parents generally sought their own information about sleep, while adolescents obtained most of their knowledge from their parents.

Findings from this study highlight a range of techniques that autistic adolescents and their parents use to address sleep difficulties. Findings suggest the need for increased professional awareness of sleep problems in autistic adolescents and further recommendations to parents for available sleep services.

Sleep disturbances are common among children with autism spectrum disorder (ASD) and can negatively impact the health and wellbeing of the child, caregiver, and family. Nurses are well-positioned to support families of children with ASD to improve sleep.

In this mixed methods study, we leveraged an existing dataset to 1) characterize qualitative descriptions of sleep disturbances experienced by children (4-10y) with ASD, 2) examine the convergence of qualitative descriptions of sleep disturbances with quantitative scores on the Children's Sleep Habits Questionnaire (CSHQ), and 3) explore strategies used to manage bedtime and sleep disturbances.

In this sample (n = 30), 70 % of caregivers described that their child had one or more sleep disturbances, with night wakings (43.3 %), bedtime resistance (30 %), and sleep anxiety (30 %) being most common. Qualitative descriptions largely converged with the CSHQ scores; however, in 20 % of cases, the caregiver reported no concerns about sleep while the CSHQ score indicated a clinically significant sleep problem. Management of bedtime and sleep disturbances required significant effort and balancing of multiple domains, including the child's sleep needs, the sleep needs of the caregiver and other family members, the child's sleep environment preferences and daytime activities that promote or disrupt sleep.

Sleep disturbances are prevalent, despite efforts to implement bedtime routines and manage sleep disturbances. Pediatric nurses play an integral role in screening for sleep disturbances, educating families, and providing guidance for implementing behavioral and environmental interventions. Implications for clinical practice and future research are discussed.

Autism spectrum disorder (ASD) is a complex disorder associated with social and communication impairments and repetitive and restrictive behavioural patterns. Children with ASD often present with concurrent conditions, including poor bone health, which affect long-term health. Although there is compelling evidence to suggest that children with ASD have poorer bone traits than typically developing children, the primary factors associated with these differences are unclear. This review will explore the potential role that factors such as physical activity, nutrition (calcium, protein, vitamin C, vitamin D) and lifestyle (sleep, medication) play on bone health in children with ASD. Having a greater understanding of the influencing factors of low BMD and how these might interact in a synergistic manner in ASD children will provide an opportunity to develop targeted interventions to improve bone health aiming to avert attainment of suboptimal peak bone mass which may lead to early onset osteoporosis, fracture and muscle deconditioning in this paediatric population.

Fatigue is associated with numerous harmful physical and mental health outcomes. Despite the established relationship between sleep and fatigue, research examining sleep variability within a person (i.e. intraindividual variability; IIV) and fatigue is limited. In addition, the associations between child and parent sleep regarding parent fatigue have not been explicitly explored, which could be relevant for parents of autistic children with increased sleep disturbance likelihood. The current study used two weeks of objective sleep (actigraphy) and subjective fatigue data from 81 parents and their children to explore associations among child sleep IIV, parent sleep IIV, and parent average daily fatigue, including evaluating evidence for mediation. Sleep IIV was estimated using a validated Bayesian model. Linear regression analyses indicated that greater parent total sleep time IIV predicted significantly higher fatigue levels. Child sleep IIV was unrelated to parent sleep IIV and fatigue, unsupportive of hypothesized mediation. Similarly, post hoc analyses examining child sleep averages, parent total sleep time IIV, and average parent fatigue were insignificant. Findings cautiously support the uniqueness of total sleep time IIV within parental sleep's relationship with fatigue, independent of child sleep. Objective sleep IIV should continue to be examined in addition to average levels.Lay abstractFatigue is associated with numerous harmful physical and mental health outcomes. Despite research indicating a relationship between fatigue and sleep, there has been a limited focus on how the variability of a person's sleep may be associated with fatigue. In addition, previous studies have not explicitly explored relationships among child sleep, parent sleep, and parent fatigue. Increasing knowledge about this area of research could be particularly relevant for families with autistic children with an increased likelihood of sleep disturbances. The current study used two weeks of objective sleep (actigraphy) data and subjective ratings of parent fatigue from 81 parents and their autistic children to examine associations among child and parent within-person sleep variability regarding average parent fatigue levels. Evidence was assessed for the role of parent sleep variability in hypothesized connections between child sleep variability and parent fatigue. We found that only greater variability in parents' total sleep time was associated with higher levels of parents' average daily fatigue rating over the two weeks. Child sleep variability was not significantly associated with parent sleep variability or average daily fatigue. In addition, average levels of child sleep were unrelated to parent total sleep time variability and fatigue. Although cautious interpretation is required, findings support the idea that variability in total sleep time may be a unique aspect of parental sleep's association with fatigue, independent of child sleep. In addition, sleep variability could be important to consider when examining sleep in addition to average levels of parameters like total sleep time.

Autism spectrum disorders (ASDs) are a group of neurodevelopmental disorders characterized by social communication deficits, repetitive behaviors, and comorbidities such as sensory abnormalities, sleep disturbances, and seizures. Dysregulation of thalamocortical circuits has been implicated in these comorbid features, yet their precise roles in ASD pathophysiology remain elusive. This study focuses on the reticular thalamic nucleus (RT), a key regulator of thalamocortical interactions, to elucidate its contribution to ASD-related behavioral deficits using a Cntnap2 knockout (KO) mouse model. Our behavioral and EEG analyses comparing Cntnap2 +/+ and Cntnap2 -/- mice demonstrated that Cntnap2 knockout heightened seizure susceptibility, elevated locomotor activity, and produced hallmark ASD phenotypes, including social deficits, and repetitive behaviors. Electrophysiological recordings from thalamic brain slices revealed increased spontaneous and evoked network oscillations with increased RT excitability due to enhanced T-type calcium currents and burst firing. We observed behavior related heightened RT population activity in vivo with fiber photometry. Notably, suppressing RT activity via Z944, a T-type calcium channel blocker, and via C21 and the inhibitory DREADD hM4Di, improved ASD-related behavioral deficits. These findings identify RT hyperexcitability as a mechanistic driver of ASD behaviors and underscore RT as a potential therapeutic target for modulating thalamocortical circuit dysfunction in ASD.

RT hyperexcitability drives ASD behaviors in Cntnap2-/- mice, highlighting RT as a therapeutic target for circuit dysfunction.

Children diagnosed with autism spectrum disorder (ASD) exhibit a significantly higher prevalence of sleep problems compared to their typically developing peers. Despite numerous studies on ASD and sleep, a comprehensive bibliometric analysis on this topic is lacking. This study aims to analyze publications on sleep problems in children with ASD using bibliometric methods.

Research articles on sleep problems in children with ASD were obtained from the Web of Science Core Collection (WOSCC) database. Between 1984 and 2024, 462 studies by 1896 authors were published in 164 journals. We used bibliometrics to analyze papers on sleep problems in children with ASD, to draw the network of authors, countries, journals, and keywords in this field, and to visualize the results.

The number of publications examining sleep problems in children with ASD has increased since 2011. The highest number of published studies is in 2021. The leading country in research is the USA, and the most productive author in this field is Malow B. In recent years, burst keywords were intervention, circadian rhythm, screen time, and melatonin.

Increased attention has been paid to sleep in children with ASD. It is believed that this bibliometric analysis can help determine the gap in the field of sleep in children with ASD and help new studies to be conducted.

To investigate associations between possible sleep bruxism (PSB) and sleep disorders in children/adolescents with autism spectrum disorder (ASD) as well as parental perceived stress.

A cross-sectional study was conducted involving children/adolescents with ASD five to 19 years of age and their parents at a public institution that supports disabled people in the city of João Pessoa in Northeast Brazil. The parents answered a form addressing sociodemographic characteristics and medical data (schooling, income, age, sex, support level and use of medications). PSB was recorded based on the reports of the parents. Parental stress was investigated using the Perceived Stress Scale (PSS-10). Sleep disorders in the children/adolescents were investigated using the Sleep Disturbance Scale for Children (SDSC). Data analysis involved descriptive, bivariate and Poisson regression analyses (95% CI; p < 0.05).

Fifty children/adolescents with ASD participated in the study. Boys accounted for 84.0% of the sample (n = 42). PSB in the children/adolescents was reported by 28.0% of the parents. The mean parental PSS-10 score was 20.3 ± 8.5 and the mean SDSC score was 48.8 ± 17.5. The adjusted Poisson model revealed associations between PSB and higher levels of perceived stress of the parents (PR = 1.05; 95% CI: 1.01-1.09), sleep breathing disorders (PR = 1.14; 95%CI: 1.05-1.24) and sleep-wake transition disorders (PR = 1.16; 95%CI: 1.00-1.36; p = 0.044).

The occurrence of PSB in children and adolescents with ASD was associated with higher levels of parental stress, higher scores for sleep breathing disorders and sleep-wake transition disorders.

Sleep quality has positive effects on children's sleep and eating habits. In turn, improvement in sleep quality is associated with sleep hygiene training. The aim of our study was to determine the impact of sleep hygiene education on sleep and nutrition management in children aged 10-18 years. In addition, we explored the association between sleep problems and eating behaviours in participants before and after the training programme.

We conducted a quasi-experimental study between August 25 and December 27, 2023, in children aged 10-18 years who participated in the study on a voluntary basis with the consent of their parents. We collected data from a total of 80 children aged 12-18 years. The study investigated the relationship between sleep problems and eating behaviours. We randomly allocated participants to one of two groups, the training group or the waitlist group. We assessed the association between changes in sleep problems and changes in eating behaviours in the training group. The data were collected using a sociodemographic data form, the Children's Sleep Habits Questionnaire, and the Three-Factor Eating Questionnaire.

In the study sample, the proportions of male and female participants (training group) were 60.0% and 40.0%, respectively. There was a statistically significant difference between the pretest and post-test scores in the Children's Sleep Habits Questionnaire and the Three-Factor Eating Questionnaire (P < .01) and significant differences in the changes in sleep and eating habit scores between groups between the pre- and post-sleep hygiene training timepoints (P < .01). Thus, we concluded that sleep hygiene training is associated with and has an impact on sleep and nutrition.

We observed that in children aged 10-18 years, sleep problems were associated with their eating behaviours. Sleep hygiene education had a significant and favourable impact on sleep and nutrition outcomes. Thus, sleep hygiene training has an important effect on children's sleep and diet.

Sleep is essential for brain development and overall health, particularly in children with neurodevelopmental disorders (NDDs). Sleep disruptions can considerably impact brain structure and function, leading to dysfunction of neurotransmitter systems, metabolism, hormonal balance and inflammatory processes, potentially contributing to the pathophysiology of NDDs. This Review examines the prevalence, types and mechanisms of sleep disturbances in children with NDDs, including autism spectrum disorder, attention-deficit hyperactivity disorder and various genetic syndromes. Common sleep disorders in these populations include insomnia, hypersomnia, circadian rhythm disorders, sleep-related breathing disorders and parasomnias, with underlying factors often involving genetic, neurobiological, environmental and neurophysiological influences. Sleep problems such as insomnia, night awakenings and sleep fragmentation are closely linked to both internalizing symptoms such as anxiety and depression, and externalizing behaviours such as hyperactivity and aggression. Assessment of sleep in children with NDDs presents unique challenges owing to communication difficulties, comorbid conditions and altered sensory processing. The Review underscores the importance of further research to unravel the complex interactions between sleep and neurodevelopment, advocating for longitudinal studies and the identification of predictive biomarkers. Understanding and addressing sleep disturbances in NDDs is crucial for improving developmental outcomes and the overall quality of life for affected individuals and their families.

There is limited data available on the impact of sleep problems in children with ASD on parents' sleep quality. Due to the lack of research in Iran on factors affecting the sleep quality of mothers of children with ASD, this study was designed to explore predictors of mothers' sleep quality using path analysis. From October 2022 to May 2023, a cross-sectional study was conducted in Hamadan, a city in western Iran, involving 100 mothers of children with ASD. Data were collected using a demographic checklist and four questionnaires were included Perceived social support, Petersburg Sleep Quality Questionnaire (PSQI), Children's Sleep Habits Questionnaire (CSHQ), and Perceived Stress. Data analysis was performed using SPSS Version 16, and path analysis was conducted with LISREL software version 8.5. Statistical significance was determined by P-values less than 0.05. The sleep quality of mothers had no significant relationship with any of the demographic variables (p > 0.05). Correlation bivariate analysis showed that the total score of Sleep Quality of mothers had a positive significant correlation with Perceived Stress (r=0.28) and Sleep Habit of Children (r=0.51) but had a negative significant correlation with Social Support (r=-0.31). Children's sleep habits, perceived stress, and perceived social support are the main predictors of Sleep Quality in Mothers of children with autism spectrum disorders. Our study showed sleep quality in mothers of children with ASD may be the function of the child's sleep pattern, social support, and stress. We recommended that our hypothesized model should be enriched with more covariates and modifiers and also be tested in further large-scale prospective studies.

Sleep problems are common in children with autism spectrum disorder (ASD), with potential repercussions on neurobehavioral functioning exacerbating socio-communicative impairments and aggressive behaviors. Parent reports are the most used method to assess sleep in pediatric populations and a modified 23-item of Children's Sleep Habits Questionnaire (CSHQ) for ASD has been proposed in the United States. The generalizability of the CSHQ for ASD has yet to be validated across countries, including Italy. To extend the CSHQ applicability to Italian youth with ASD, we back-translated to Italian and revised the 23-item CSHQ, validating its dimensional structure in a sample of children and adolescents with ASD using Explorative Graph Analysis. In addition, we compared the revised scale scores of the ASD group with a typically developing (TD) group. The revised Italian version of the CSHQ (CSHQ-r) consisted of a 15-item tool with a four-dimension structure (Sleep initiation/duration, Sleep anxiety/Co-sleeping, Night awakenings/Parasomnias, and Daytime alertness) with good structural stability. Group comparison indicated significantly higher scores in the ASD group than the TD group, suggesting greater prevalence of sleep disturbances in ASD. The four-dimensional CSHQ-r may represent a useful screening tool to assess sleep disorders in Italian children and adolescents with ASD, with potential implications for clinical practice.

Autism Spectrum Disorder (ASD) are neurodevelopmental disorders marked by challenges in social interaction, communication, and repetitive behaviors. People with ASD may exhibit repetitive behaviors, unique ways of learning, and different ways of interacting with the world. The term "spectrum" reflects the wide variability in how ASD manifests in individuals, including differences in abilities, symptoms, and support needs, and conditions characterized by difficulties in social interactions, communication, restricted interests, and repetitive behaviors. Inflammation plays a crucial role in the pathophysiology, with increased pro-inflammatory cytokines in cerebrospinal fluid. Previous studies with transcranial magnetic stimulation have shown promising results, suggesting nervous system susceptibility to electromagnetic fields, with evidence indicating that extremely low-frequency electromagnetic field (ELF-EMF) treatment may modulate inflammatory responses through multiple pathways, including the reduction of pro-inflammatory cytokines like IL-6 and TNF-α, and the enhancement of anti-inflammatory mediators.

This pilot study included 20 children (ages 2-13) with a confirmed diagnosis of ASD. A 15-week protocol involved ELF-EMF treatments using the SEQEX device, with specific day and night programs. Assessment was conducted through standardized pre- and post-treatment tests: Achenbach Child Behavior Checklist, Peabody Picture Vocabulary Test-4, Expressive One Word Picture Vocabulary Test-4, and Conner's 3GI.

Statistically significant improvements were observed in receptive language (PPVT-4: from 74.07 to 90.40, p = 0.002) and expressive language (EOWPVT-4: from 84.17 to 90.50, p = 0.041). Notable reductions, with statistical significance, were found in externalizing problems across both age groups (1.5-5 years: p = 0.028; 6-18 years: p = 0.027), with particular improvement in attention and behavioral problems. The results were observed over a short period of 15 weeks, therefore excluding the possibility of coincidental age-related gains, that would typically occur during a normal developmental timeframe. Parent evaluations showed significant reduction in ASD symptoms, particularly in the 1.5-5 years group (p = 0.046).

ELF-EMF treatment demonstrated a high safety profile and efficacy in mitigating ASD-related symptoms. The observed improvements suggest both direct effects on central and autonomic nervous systems and indirect effects through inflammatory response modulation. Further studies are needed to confirm these promising results through broader demographics and randomized control designs.

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.

Sleep disorders are common in youths with autism spectrum disorders. Inflammatory cytokines such as Il-1 beta and Il-6 in saliva have been associated with alterations in sleep quality in various conditions. We assessed whether there were associations between the salivary concentration of IL-1 beta and IL-6 and sleep quality in youths with ASD versus typically developing (TD) age- and gender-matched youths.

Forty children and adolescents with ASD or TD participated in this study (20% females). Their parents answered the items of a validated questionnaire on sleep quality (Pittsburgh Sleep Quality Index).

The mean Pittsburgh score was significantly higher (i.e., the quality of sleep was poorer) in the ASD group (8.68 ± 0.35 (SEM), ranging from 7 to 12 points), compared to the TD group (7.35 ± 0.54 (SEM), ranging from 2 to 12 points) (p = 0.02, Mann-Whitney U test). There were no significant differences in the salivary concentration of Il-1 beta and IL-6 receptor between the two groups, but salivary IL-1 beta concentration was inversely associated with poor sleep quality in the ASD group. No associations between the salivary Il-6 concentration and sleep quality were found in either group. Linear regression analysis by separate groups revealed significant associations between the sleep quality score and the concentration of IL-1 beta in the ASD group (p = 0.01, OR = -0.53, 95% CI -0.008-0.001). In contrast, no significant associations were observed in the TD group, or for IL-6 in either group. No significant effects of sex, age, or use of psychotropic medications were found.

Children and adolescents with ASD showed significantly poorer sleep quality based on their parents' reports compared to the TD group, and the salivary IL-1 beta concentration was inversely associated with sleep quality only in the ASD group. Further studies on the associations between inflammatory cytokines and sleep in ASD are needed.

Autistic children are more likely to have sleep difficulties and to experience adverse childhood experiences. Adverse childhood experiences can include parental divorce, bullying, or witnessing violence. We also know that children in families who are resilient (e.g. families who are connected, work together, and help each other) are less impacted by adverse childhood experiences. Our study examined whether there was a relationship between adverse childhood experiences and sleep duration in autistic children. We also wanted to find out whether family resilience protects from the negative impact of adverse childhood experiences on sleep duration. We used data from 3247 parent surveys about their children that we got from the National Survey of Children's Health. We found that children with adverse childhood experiences are more likely to get less sleep. We also found that children with resilient families were more likely to get more sleep. Our results show that family resilience helps weaken the relationship between adverse childhood experiences and sleep, so it is important to help families build resilience.

Sleep, or a lack thereof, is strongly related to mood dysregulation. Although considerable research uses symptom scales to examine this relation, few studies use longitudinal, real-time methods focused on pediatric irritability. This study leveraged an ecological momentary assessment (EMA) protocol, assessing bidirectional associations between momentary irritability symptoms and daily sleep duration in a transdiagnostic pediatric sample enriched for irritability.

A total of N = 125 youth (Mage = 12.58 years, SD = 2.56 years; 74% male; 68.8% White) completed digital, in vivo surveys three times a day for 7 days. For a subset of youth, their parents also completed the EMA protocol. Trait irritability was measured using youth-, parent-, and clinician-report to test its potential moderating effect on the association between sleep duration and momentary irritability.

Results from multilevel modeling dynamically linked sleep to irritability. Specifically, according to youth- and parent-report, decreased sleep duration was associated with increased morning irritability (bs ≤ -.09, ps < .049). A bidirectional association between parent-reported nightly sleep duration and anger was found-increased evening anger related to decreased nightly sleep duration, and decreased sleep duration related to increased morning anger (bs ≤ -.17, ps < .019). Trait irritability moderated this association, which was stronger for more irritable youth (b = -.03, p < .027).

This study adds to the literature and suggests sleep-irritability dynamics as a potential treatment target.

Children with autism spectrum disorder (ASD) report high rates of sleep problems. In 2012, the Autism Treatment Network/ Autism Intervention Research Network on Physical Health (ATN/AIR-P) Sleep Committee developed a pathway to address these concerns. Since its publication, ATN/AIR-P clinicians and parents have identified night wakings as a refractory problem unaddressed by the pathway. We reviewed the existing literature and identified 76 scholarly articles that provided data on night waking in children with ASD. Based on the available literature, we propose an updated practice pathway to identify and treat night wakings in children with ASD.

Patients with autism spectrum disorder (ASD) frequently experience sleep disturbance. Genetic mutations in the neuroligin 3 (NLG3) gene are highly correlative with ASD and sleep disturbance. However, the cellular and neural circuit bases of this correlation remain elusive. Here, we found that the conditional knockout of Nlg3 (Nlg3-CKO) in the medial septum (MS) impairs social memory and reduces sleep. Nlg3 CKO in the MS caused hyperactivity of MSGABA neurons during social avoidance and wakefulness. Activation of MSGABA neurons induced social memory deficits and sleep loss in C57BL/6J mice. In contrast, inactivation of these neurons ameliorated social memory deficits and sleep loss in Nlg3-CKO mice. Sleep deprivation led to social memory deficits, while social isolation caused sleep loss, both resulting in a reduction in NLG3 expression and an increase in activity of GABAergic neurons in the MS from C57BL/6J mice. Furthermore, MSGABA-innervated CA2 neurons specifically regulated social memory without impacting sleep, whereas MSGABA-innervating neurons in the preoptic area selectively controlled sleep without affecting social behavior. Together, these findings demonstrate that the hyperactive MSGABA neurons impair social memory and disrupt sleep resulting from Nlg3 CKO in the MS, and achieve the modality specificity through their divergent downstream targets.

Autism is characterized by social communication differences and repetitive behaviors, affecting 1%-2% of children. Irritability is a disabling condition affecting 19%-80% of autistic children. While extensive research has focused on interventions to reduce irritability symptoms, the underlying correlates remain poorly understood. To address this, we conducted a scoping review of the literature examining factors contributing to irritability in pediatric autistic populations.

A literature search of Embase, MEDLINE, PubMed, PsycINFO, and Web of Science was conducted in addition to manually retrieved papers from Google Scholar. Studies underwent title and abstract screening by one reviewer and full-text screening by two reviewers; disagreements were resolved through deliberation. The remaining studies underwent data extraction. The review was conducted using the PRISMA-ScR checklist.

The search yielded 48 studies meeting the inclusion criteria. Correlates of irritability were categorized into eight themes: demographics/environmental, autism features, mental health, language, cognition, and function, neurobiological, physical health, physiological, and multidimensional factors. Findings revealed mixed associations with demographic factors, consistent positive associations with sensory differences and mental health symptoms, and varying associations with cognitive abilities and physical health factors. Neurobiological and physiological correlates were less explored.

This review revealed a significant gap in understanding sociodemographic, phenotypic, and neurobiological and physiological correlates of irritability in autism. There was also a significant gap in understanding the multi-dimensional irritability correlates. Positive associations between irritability and sensory differences and mental health symptoms suggest potential avenues for investigation of non-medication interventions.

Children with autism spectrum disorder are at higher risk for adverse childhood experiences (ACEs). They are also more vulnerable to sleep problems and are less likely to obtain the recommended number of hours of sleep than neurotypical children. In the general population, ACEs have been linked to future sleep difficulties. Despite increased vulnerabilities to both ACEs and sleep problems, no study has examined this association in ASD. Using the National Survey of Children's Health across four cohorts, we examined whether ACEs were a risk factor to obtaining the recommended number of hours of sleep, while accounting for demographic and health factors typically associated with sleep duration. Findings indicate that children with ASD with more ACEs were less likely to get the recommended number of hours of sleep than children with fewer ACEs. Other factors associated with sleep included race, anxiety, autism severity, and overall health. These findings indicate that sleep problems in children with ASD are complex and multifaceted. Among other considerations, it is important for clinicians to screen children with ASD for ACEs and consider the possible impact of ACEs on sleep.

Sleep disorders are common in children with autism spectrum disorder (ASD). Transcranial magnetic stimulation (TMS) can influence the excitability of neuronal cells in stimulated areas, leading to improvements in sleep and other autistic symptoms. However, studies on clinical mechanisms of TMS in treating sleep disorders associated with ASD are limited. Therefore, we aimed to explore the effects of TMS on sleep structure and quality in children with ASD.

Between January 2020 and December 2021, recruitment was advertised through child and adolescent outpatient clinics and online platforms by the Hangzhou Seventh People's Hospital and Lishui Second People's Hospital. Sixty children with ASD who met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, were selected and randomly divided into the active TMS and sham TMS treatment groups. Thirty healthy children of the same age were recruited as controls. The active TMS group received bilateral low-frequency (0.5 Hz) TMS targeting the dorsolateral prefrontal cortex on both sides in children with ASD, whereas the sham TMS group received sham stimulation with the same stimulation time and location as the experimental group. Both groups were treated for 6 weeks, and the participants were assessed using the Sleep Disturbance Scale for Children (SDSC) before treatment, at 3 weeks, and at 6 weeks of intervention. Independent sample t-tests and difference t-tests were used for statistical analysis of the data.

No significant differences were observed in general demographic variables, such as age and sex, between the ASD and control groups (P>0.05). Independent sample t-test analysis showed that the total SDSC score, difficulty falling asleep, sleep maintenance, awakening disorders, sleep-wake transition disorders, excessive daytime sleepiness, and nocturnal hyperhidrosis scores were significantly higher in the ASD group than in the control group (P<0.05). Before treatment, no significant differences were observed in the factor or total SDSC scores between the sham TMS group and the active TMS group (P>0.05). After 15 and 30 treatment sessions, the total SDSC score, difficulty falling asleep, sleep maintenance, sleep-wake transition disorders, and excessive daytime sleepiness scores were significantly higher in the sham TMS group than in the active TMS group (P<0.05). The difference t-test analysis showed that after 30 treatment sessions, the reduction rates of the total SDSC score, difficulty falling asleep, sleep maintenance, awakening disorders, sleep-wake transition disorders, excessive daytime sleepiness, and nocturnal hyperhidrosis dimensions were significantly higher in the active TMS group than in the sham TMS group (P<0.05).

Low-frequency TMS targeting the dorsolateral prefrontal cortex in children with ASD can effectively improve their sleep status, and significant improvement can be achieved after 6 weeks (30 sessions) of treatment.

Sleep disturbances are frequently reported in children with autism spectrum disorder (ASD) and are associated with the severity of co-occurring symptoms. This study's aim was to examine the extent of healthcare utilization and clinical outcomes associated with sleep disturbances in children with ASD.

A retrospective, cross-sectional study of 541 children with ASD from the Azrieli National Center for Autism and Neurodevelopment Research (ANCAN) whose parents completed the Children's Sleep Habits Questionnaire (CSHQ). Children with a total CSHQ score ≥ 48 were defined as having sleep disturbances. Sociodemographic characteristics, ASD diagnostic measures, chronic co-occurring conditions, medication usage, hospitalizations, visits to the emergency room (ER), and visits to specialists were compared in ASD children with and without sleep disturbances. Multivariate logistic regression models were then used to assess the independent association of sleep disturbances with clinical characteristics and healthcare utilization.

Of the 541 children with ASD, 257 (47.5%) had sleep disturbances. Children with sleep disturbances exhibited higher rates of multiple (≥ 3) co-occurring conditions (19.1% vs. 12.7%; p = 0.0414) and prescribed medications (45.5% vs. 32.7%; p = 0.0031) than other children. Finally, ASD children with sleep disturbances were 1.72 and 2.71 times more likely to visit the ER and be hospitalized than their counterparts (aOR = 1.72; 99%CI = 1.01-2.95; and aOR = 2.71; 99%CI = 1.10-6.67, respectively).

Our findings suggest that sleep disturbances are associated with greater healthcare utilization among children with ASD. Further studies could examine whether treating sleep disturbances in children with ASD yields additional clinical benefits beyond improvements in sleep.

Disordered sleep is common in autistic children. This study aimed to evaluate the cost-effectiveness of a brief behavioural sleep intervention, the 'Sleeping Sound intervention', in primary school-aged autistic children in Australia. A cost-effectiveness analysis was undertaken alongside a randomised controlled trial over a 6-month follow-up period from both a societal and healthcare sector perspective. Resources used by participants were collected from a resource-use questionnaire and administrative data; intervention costs were determined from study records. Mean costs and quality-adjusted life-years (QALYs) were compared between the intervention and treatment as usual (TAU) groups. Uncertainty analysis using bootstrapping and sensitivity analyses were conducted. The sample included 245 children, with 123 participants randomised to the intervention group and 122 to TAU. The mean total costs were higher for the Sleeping Sound intervention with a mean difference of A$745 (95% CI 248; 1242; p = 0.003) from a healthcare sector perspective and A$1310 (95% CI 584; 2035, p < 0.001) from a societal perspective. However, the intervention also resulted in greater QALYs compared with TAU, with a mean difference of 0.038 (95% CI 0.004; 0.072; p = 0.028). The incremental cost-effectiveness ratio was A$24,419/QALY (95% CI 23,135; 25,703) from a healthcare sector perspective and A$41,922/QALY (95% CI 39,915; 43,928) from a societal perspective; with a probability of being cost-effective of 93.8% and 74.7%, respectively. Findings remained robust in the sensitivity analyses. The Sleeping Sound intervention offers a cost-effective approach in improving sleep in primary school-aged autistic children.Trial registration The trial was registered with the International Trial Registry (ISRCTN14077107).

Sleep disturbances are common among individuals with autism spectrum disorder (ASD) and can have a negative impact on their daily functioning and core symptoms. As the use of smart technologies continues to rise, it is crucial to understand how these devices affect the sleep quality of individuals with ASD.

The objective of this study was to examine the relationship between the use of smart technology and sleep quality in individuals with ASD.

A mixed-methods approach was employed, combining both quantitative and qualitative data collection techniques. A sample of 83 individuals with ASD, aged between 8 and 25 years, assessed their sleep quality using the Pittsburgh Sleep Quality Index. Additionally, information regarding patterns of smart technology use and relevant covariates was collected. Correlation and regression analyses were conducted to analyze the data. Furthermore, semi-structured interviews were conducted with a subset of participants and their caregivers.

Significant positive correlations were found between poorer sleep quality scores and total screen time (r = 0.42, p < 0.001), pre-bedtime technology use (r = 0.51, p < 0.001), gaming (r = 0.32, p = 0.003), and social media use (r = 0.29, p = 0.008). Pre-bedtime technology use was a significant predictor of poorer sleep quality (β = 0.32, p = 0.006), even after controlling for age, gender, and ASD severity.

The findings of this study emphasize the significant associations between the use of smart technology, particularly before bedtime, and poorer sleep quality in individuals with ASD. These results underscore the importance of developing evidence-based interventions and guidelines to promote healthy sleep habits and mitigate the negative effects of technology exposure in this population.

This was an exploratory cross-sectional study comparing 45 children with ASD to 24 typically developing drug-naïve controls, group-matched on age, sex, and body mass index. Objective data was obtained using the following: an ambulatory circadian monitoring device; saliva samples to determine dim light melatonin onset (DLMO): and three parent-completed measures: the Child Behavior Checklist (CBCL); the Repetitive Behavior Scale-Revised (RBS-R); and the General Health Questionnaire (GHQ28). The CBCL and RBS-R scales showed the highest scores amongst poor sleepers with ASD. Sleep fragmentation was associated with somatic complaints and self-injury, leading to a higher impact on family life. Sleep onset difficulties were associated with withdrawal, anxiety, and depression. Those with phase advanced DLMO had lower scores for "somatic complaints"; "anxious/depressed" state; and "social problems", suggesting that this phenomenon has a protective role.

Angelman syndrome (AS) is a rare genetic developmental disability that presents with high rates of co-occurring sleep difficulties. Most existing research has focused on the pathophysiology of sleep problems in people with AS, and suggests that sleep problems are the result of genetic and neurobiological factors. However, little is known about the role of the social environment and learning in sleep problems in children with AS. This descriptive study used survey data from 139 parents of children with AS to investigate: 1) the type, topography and severity of children's sleep problems; 2) the collateral child, parent and family impacts of the sleep problems; 3) treatment selection practices and the perceived effectiveness of these treatments; and 4) sources of support and treatment advice received. Parents reported that the majority of children experienced sleep problems, resulting in numerous deleterious effects on child and family functioning. They also reported high levels of concern about these sleep problems, but low levels of perceived support. Study findings highlight the need to establish a disability-specific profile of the type and impact of sleep problems experienced by children with AS, and have further implications for the delivery of clinical services and support provided to parents of children with AS.

Assistance and companion dogs have numerous positive effects for family of autistic children, such as supporting their rehabilitation and improving their quality of life. To date, very few studies have compared the effects of both types of dogs. This comparison, considering the limited access to assistance dogs, could be helpful for families wanting to adopt a dog.

An explanatory sequential design with a mixed-method approach was used. First, 85 parents (nassistance dogs = 57; ncompanion dogs = 28) of children aged between 3 and 17 years old (M = 10.73, SD = 3.67) completed an online questionnaire including sociodemographic questions and the Treatment Acceptability Rating Form-Revised (TARF-R). Then, 17 of these participants (nassistance dogs = 14; ncompanion dogs = 3) completed a semi-structured interview.

The quantitative data analyses showed that parents with assistance dogs were significantly more satisfied: t (83) = -2.12, p = .037, d = 0.49. Significant associations between some sociodemographic variables (e.g., number of children, comorbid condition, reasons for acquiring a dog) and acceptability/satisfaction (TARF-R total scores) were found. The qualitative analysis revealed that families with both dog types observed positive effects.

In brief, having an assistance dog constitutes a significant added value; nevertheless, both types of dogs are appreciated.

Children and adolescents with autism spectrum disorder (ASD) experience various sleep problems. Sleep problems co-occur in a bidirectional relationship with ASD core symptoms and behavioral problems. However, studies on how these three factors are intricately linked to each other are limited. This meta-analysis examined the differential relationship between specific sleep problems, core symptoms, and behavioral problems in this population. This study was registered in PROSPERO (CRD42022339695). We systematically searched the PubMed/MEDLINE, Web of Science, and Scopus databases from inception to April 27, 2022. Observational studies that reported correlations between measures of sleep problems, ASD core symptoms, or ASD behavioral problems were included, and participants aged 18 years or below were enrolled. The correlation coefficient (r) was assessed as the primary effect metric. Total 22 cross-sectional studies were included, which comprised 2655 participants (mean age = 6.60 years old; mean percentage of boys = 80.64%). We found correlations between total sleep problems and total core symptoms (r 0.293 [95% confidence interval - 0.095 to 0.604]), total sleep problems and total behavioral problems (r 0.429 [0.299-0.544]), and total core symptoms and total behavioral problems (r - 0.050 [- 0.177 to 0.079]) and identified statistically significant correlations between specific components of sleep problems, ASD core symptoms, and ASD behavioral problems. Each specific sleep problem showed a unique association with core symptoms and behavioral problems. Sleep problems in ASD should be explored in detail, and the closely linked core symptoms and behavioral problems should be common therapeutic targets.

Youth with autism spectrum disorder (ASD) often experience difficulties related to aggression, disruptive behavior, and regulation of emotions that precipitate these behaviors (i.e., anger). The extent to which aggression, disruptive behaviors, and anger dysregulation are correlated with distinct or overlapping factors has not yet been explored. The present study examined whether aspects of participant demographics, individual youth functioning, caregiver stress, and family warmth contributed to youth aggression, disruptive behavior, and anger dysregulation. Participants were caregivers of 511 youths with ASD. Analyses revealed that significant proportions of variance in aggression, disruptive behaviors, and anger dysregulation were accounted for by shared variables pertaining to demographics, the individual youth, and caregiver stress. Implications of treatment and future research are discussed.

Sleep problems are common in children with autism spectrum disorder (ASD), with 40% to 80% prevalence. Common disorders include insomnia, parasomnias, and circadian rhythm sleep-wake disorders. These problems have a multifactorial etiology and can both exacerbate and be exacerbated by core ASD symptoms. Sleep problems also impact the health and quality of life of both patients and their caregivers. All children with autism should be regularly screened for sleep problems and evaluated for co-occurring medical contributors. Behavioral interventions with caregiver training remain first-line treatment for sleep disorders in both neurotypical and neurodiverse youth.

Children and adolescents with autism spectrum disorder (ASD) experience sleep disturbances, particularly insomnia, at rates much higher than the general population. Daytime behavioral problems and parental stress are associated with the resultant sleep deprivation. Behavioral interventions, parental education, and melatonin are effective treatments. The epidemiology of sleep disturbances in youth with ASD is reviewed in this article as well as the latest in treatments.

Insomnia is one of the most common co-occurring disorders in children with autism spectrum disorder (ASD). The purpose of this cross-sectional cohort study of 270 children with ASD was to assess the prevalence of insomnia using the Pediatric Sleep Clinical Global Impression Scale and to correlate sleep problems with cognitive level, adaptive behavior, parental stress, behavioral and emotional problems, and severity of core symptoms. Our findings revealed that one-third of children had insomnia and were related to reduced adaptive behaviors and higher levels of parental stress and behavioral and emotional problems. Insomnia must be evaluated in children with ASD to define an appropriate intervention to potentially alleviate the severity of clinical correlates and parental burden.

To update and examine available literature germane to the recognition, assessment and treatment of comorbid autism spectrum disorder (ASD), attention-deficit hyperactivity disorder (ADHD) and sleep disruption, with a predominant focus on children, adolescents and emerging adults.

Considerable overlaps exist among ASD, ADHD and sleep disruption. Literature and guidance for clinicians, administrators, policy makers and families have been limited, as such deliberations were rarely considered until 2013.

This narrative review of the literature addressing sleep disruption issues among those with ASD, ADHD and comorbid ASD and ADHD involved searching multiple databases and use of reverse citations up to the end of September 2022. Emphasis is placed on secondary sources and relevant data for clinical practice.

Complex clinical presentations of ASD/ADHD/sleep disruption are frequently encountered in clinical practice. Prior to 2013, prevalence, clinical presentation, pathophysiology, prognosis, other sleep-related factors and interventions were determined separately for each disorder, often with overlapping objective and subjective methods employed in the process. High percentages of ADHD and ASD patients have both disorders and sleep disruption. Here, the extant literature is integrated to provide a multidimensional understanding of the relevant issues and insights, allowing enhanced awareness and better care of this complex clinical population. Database limitations are considered.

Assessment of ASD symptomatology in youth with ADHD, and the reverse, in cases with disrupted sleep is critical to address the special challenges for case formulation and treatment. Evidence-based approaches to treatment planning and multi-treatment modalities should consider combining psychosocial and biological interventions to address the complexities of each case.

The potential impact of gut health on general physical and mental well-being, particularly in relation to brain function, has led to a growing interest in the potential health advantages of prebiotics, probiotics, and synbiotics for the management of ASD. A comprehensive meta-analysis and systematic review was conducted in order to evaluate the effectiveness and protection of many drugs targeted at manipulating the microbiota in the treatment of ASD.

The present study employed a comprehensive examination of various electronic databases yielded a total of 3,393 records that were deemed possibly pertinent to the study. RCTs encompassed a total of 720 individuals between the ages of 2 and 17, as well as 112 adults and participants ranging from 5 to 55 years old, all of whom had received a diagnosis of ASD.

Overall, 10 studies reported Autism-Related Behavioral Symptoms (ARBS). Regarding the enhancement of autism-related behavioral symptoms, there wasn't a statistically significant difference between the intervention groups (combined standardized mean difference = -0.07, 95% confidence interval: -0.39 to 0.24, Z = 0.46, p = 0.65). We observed that in the patients with ASD treated with probiotic frontopolar's power decreased significantly from baseline to endpoints in beta band (Baseline: 13.09 ± 3.46, vs. endpoint: 10.75 ± 2.42, p = 0.043, respectively) and gamma band (Baseline: 5.80 ± 2.42, vs. endpoint: 4.63 ± 1.39, p = 0.033, respectively). Among all tested biochemical measures, a significant negative correlation was found between frontopolar coherence in the gamma band and TNF-α (r = -0.30, p = 0.04).

The existing body of research provides a comprehensive analysis of the developing evidence that indicates the potential of probiotics, prebiotics, and synbiotics as therapeutic therapies for ASD. Our findings revealed that those there was no significant effect of such therapy on autism-related behavioral symptoms, it has significant effect on the brain connectivity through frontopolar power in beta and gamma bands mediated by chemicals and cytokines, such as TNF-α. The psychobiotics showed no serious side-effects.

Young children with autism spectrum disorder (autism) have bedtime and sleep disturbances at much higher frequency and persistency than their neurotypical counterparts. Hence, access to early, effective treatment is critical in view of the importance of sleep in early childhood. Telehealth delivery could be a means to expand access to such early treatment if efficacious. The aim of this randomized control trial (RCT) was to compare a manualized, telehealth delivered, behaviorally based sleep parent training (SPT) intervention for parents of young children with autism and sleep disturbances to a control condition, a telehealth delivered parent education program with one sleep focused session (SPE). We hypothesized that the SPT group would show more improvements on child measures of sleep outcome measures, and daytime behaviors and parent measures of stress and sense of competence. We further aimed to explore the overall feasibility of telehealth delivery of SPT and SPE.

Parents of 77 young children, ages 2-7 years, with autism and co-occurring sleep disturbances were enrolled in this study. Participants were randomized to either SPT or a comparison arm that included non-sleep related parent education except for one session. Each participant was individually administered a 5 session program delivered over 10 weeks. Outcome measures, including child sleep measures, child daytime behavior and parent stress and sense of competency were collected at weeks 5 and 10 after the baseline time point. Feasibility indicators (treatment fidelity, parent adherence, and parent attendance), and safety measures were also collected.

Of 77 randomized participants, data were available for 36 participants randomized to SPT and 38 participants randomized to SPE. The mean age was 3 years, 8 months. Results support the efficacy of this manualized SPT intervention for bedtime and sleep disturbances. Sleep outcome measures were significantly improved in the SPT group compared to SPE on the Modified Simonds & Parraga Sleep Questionnaire-Composite Sleep Index (MSPSQ - CSI) (p < 0.001) with a large effect size of 0.83 at week 10. Positive response to treatment, as determined from the Clinical Global Impression-Improvement scale (CGI-I) at week 10 was observed in 56% of SPT participants compared to 32% in SPE (p = 0.037). There were no significant group differences in either the ABC-I as measure of daytime behaviors or in parental stress. There were group differences in favor of SPT over SPE on the PSOC, a measure of parent sense of competency. Feasibility and safety were further demonstrated with telehealth delivery.

This RCT demonstrated the efficacy of a telehealth delivered parent training intervention for bedtime and sleep disturbances in young autistic children compared to an active control condition. Further, parents in SPT reported more confidence in their parenting role than those in the SPE group, but SPT did not result in overall decreases in parental stress. Telehealth delivery allowed for a much broader reach with enrolled participants from 24 states. This study supports a telehealth approach to a manualized behavioral parent mediated intervention for sleep disturbance in young autistic children and offers an alternative to in-person delivered approaches. This telehealth delivery has the potential to improve access for families who have a young autistic child with sleep disturbances. Given the small sample size, determining predictors and moderators of treatment response was not possible and should be examined in a larger trial.

Attention deficit hyperactivity disorder (ADHD) and Autism Spectrum Disorder (ASD) are often accompanied by sleep problems influencing social, emotional and cognitive functioning in everyday activities.

The aim of this study was to investigate whether the use of a weighted blanket has a positive impact on sleep and everyday activities in individuals with ADHD and/or ASD.

The study included 85 individuals diagnosed with ADHD and/or ASD, 48 children aged ≤17 (57%) and 37 adults ≥18 years (44%), who were prescribed with a weighted blanket. The participants responded via a telephone interview.

Findings demonstrated that a weighted blanket improved abilities related to falling asleep, sleeping the whole night, and relaxing during the day. Using a weighted blanket improved morning/evening daily routine, including preparing/going to sleep and waking up in the morning.

Weighted blankets showed positive impact on falling asleep, sleeping the whole night, and relaxing during the day, and they were used frequently by children and adults with ADHD and/or ASD. Findings indicate that a weighted blanket improved morning/evening routine, however this research area needs further investigation using both subjective and objective parameters.

Sleep 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.

The purpose of this systematic review and meta-analysis is to delineate the concordance of objective and subjective measures of sleep in children with neurodevelopmental conditions (NDCs). A systematic literature search identified 31 studies that compare objective and subjective estimates of sleep parameters in autism, ADHD or rare genetic syndromes associated with intellectual disability. The meta-analyses revealed smaller mean differences and larger correlations indicative of greater concordance for parameters associated with sleep scheduling compared to parameters associated with sleep duration and night awakenings. Relative to objective measures, subjective measures produced: 1) greater estimates of total sleep time, sleep efficiency and time in bed; and 2) lower estimates of wake after sleep onset and number of night awakenings. Subgroup analyses also revealed differences in concordance between measurement comparison types (e.g., stronger correlations between actigraphy and sleep diaries, compared to actigraphy and questionnaires) and NDC diagnostic groups. The results predominantly replicate concordance trends observed in typically-developing samples, although some NDC-specific patterns of concordance were identified. This indicates that objective and subjective sleep measures retain broadly similar properties across populations, although researchers and clinicians should be cautious of the impact of NDC-related characteristics on sleep parameter estimates. These findings should inform sleep assessment design and the interpretation of sleep parameter estimates in NDCs, increasing the rigour of sleep parameter description across research and clinical settings.

This research evaluated the feasibility of actigraphy to measure sleep and physical activity in children (ages 2-8 years) with autism spectrum disorder (ASD). We also explored associations between sleep and physical activity. Validated screening measures established eligibility. Questionnaires, diaries, and 5 days and 5 nights of actigraphy monitoring were used to collect data. Of the 32 children enrolled, 27 (84.4%) completed actigraphy monitoring. Based on the median steps per day, children with high physical activity had lower total sleep time and more disruptive behaviors than children with low physical activity. Findings support the feasibility of using actigraphy to measure sleep and physical activity in children with ASD. Larger studies are needed to evaluate interactions of physical activity on sleep in this population.

Parent reports suggest that 44-84% of children with ASD exhibit sleep disturbances that are of clinical concern. Previous studies have reported that, in children with ASD, the severity of sleep disturbances is associated with the severity of either sensory problems or aberrant behaviors, but none have performed combined analyses with measures of both sensory and aberrant behaviors symptom domains from the same children.

We examined parent reports of 237 children with ASD, 1.4-8.7 years old, using the child sleep habits questionnaire (CSHQ), sensory profile (SP), and aberrant behaviors checklist (ABC).

The analyses revealed that sleep disturbances were most strongly associated with SP sensory sensitivity and ABC irritability scores. Together these scores explained 35% of the variance in total CSHQ scores. Moreover, sensory sensitivity scores moderated the association between irritability and sleep disturbances, indicating that sleep disturbances were significantly associated with irritability only in children with moderate to severe sensory sensitivities.

We suggest that the three symptom domains may interact and exacerbate each other such that successful intervention in one symptom domain may have positive impact on the others. Further intervention studies testing this hypothesis are highly warranted.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by core symptoms such as atypical social communication, stereotyped behaviors, and restricted interests. One of the comorbid symptoms of individuals with ASD is sleep disturbance. There are two major hypotheses regarding the neural mechanism underlying ASD, i.e., the excitation/inhibition (E/I) imbalance and the altered neuroplasticity hypotheses. However, the pathology of ASD remains unclear due to inconsistent research results. This paper argues that sleep is a confounding factor, thus, must be considered when examining the pathology of ASD because sleep plays an important role in modulating the E/I balance and neuroplasticity in the human brain. Investigation of the E/I balance and neuroplasticity during sleep might enhance our understanding of the neural mechanisms of ASD. It may also lead to the development of neurobiologically informed interventions to supplement existing psychosocial therapies.

Sleep disorders are one of the most common problems in children with Autism Spectrum Disorder (ASD). However, they often tend to be underdiagnosed and incorrectly treated in clinical practice. This study aims to identify sleep disorders in preschool children with ASD and to explore their relationship with the core symptoms of autism, the child's developmental and cognitive level as well as the psychiatric comorbidities.

We recruited 163 preschool children with a diagnosis of ASD. The Children's Sleep Habits Questionnaire (CSHQ) assessed sleep conditions. Multiple standardized tests were used to evaluate intellectual abilities, the presence of repetitive behaviors (through the Repetitive Behavior Scale-Revised), as well as the emotional-behavioral problems and the psychiatric comorbidities (through the Child Behavior Checklist -CBCL 11/2-5).

The results showed that poor disorders had consistently higher scores in all areas assessed by the CSHQ and on the CBCL across all domains. The correlational analysis showed that severe sleep disorders were associated with higher scores in internalizing, externalizing, and total problems at the CBCL syndromic scales, and in all DSM-oriented CBCL subscales. Moreover, we found that the association between sleep disorders and restricted and repetitive behaviors (RRBs) is explained by the anxiety-related symptoms.

Based on these findings, the study recommends that screening for sleep problems followed by early intervention should constitute a routine part of clinical practice for children with ASD.

Autism spectrum disorder (ASD) is one of the most puzzling disorders of childhood. Recent research of comorbidities that accompany ASD and are commonly attributed to the diagnosis, indicate that they may contribute to the severity of behavioral symptoms of the disorder.Disturbed sleep in all children can decrease cognition, decrease focus, increase performance problems, and alter mood and behavior. Children with ASD experience an increased sensitivity to disturbed sleep that may increase the severity of the disorder. Disturbed sleep patterns, such as increased sleep latency, nighttime waking and early arousal, have been identified in up to 80% of children with ASD. This study explored the relationship of disturbed sleep and the severity of the core ASD symptoms.

Actigraphy and an accompanying sleep diary captured disturbed sleep patterns in 24 children, ages 6-12, with ASD. Participants wore a GT3X actigraphy monitor for 7 nights to collect data on patterns of disturbed sleep. Parents completed a sleep diary and the Autism Spectrum Rating Scale (ASRS) questionnaire.A descriptive analysis was used to report the characteristics of nighttime sleep and sleep efficiency as well as sleep disturbances. Pearson's r determined the relationships between the number of sleep disturbances and the severity of ASD behavioral scores and diagnostic severity (determined by the ASRS).

Of the 24 study participants, almost 92% had one or more sleep disturbances. A positive correlation was present between the number of sleep disturbances and the severity of delays in social and communication symptoms. A moderate effect size was found between the number of sleep disturbances and unusual behaviors in ASD suggests a possible, unanticipated, inverse relationship.

Exploring the relationship of disturbed sleep to behavior and symptom severity in children with ASD can provide an understanding of how poor sleep influences ASD symptoms. This study identified distinct differences in ASD symptom severity between and within individual participants and found unique, and unexpected, symptom patterns. This finding supports the need, in research and treatment, to identify comorbidities and symptoms that contribute to individual behavioral profiles and phenotypes of the disorder.

Sleep disturbance and emotional dysregulation (ED) are common and often functionally impairing in young children with neurodevelopmental disorders (NDD). This study investigated the relationship between sleep disturbance and ED in a sample of preschoolers with ASD, intellectual disability, or global developmental delay, and examined possible predictors of their persistence over time.

All children under 6 years of age clinically referred between July 2018 and May 2022 to two neuropsychiatric specialized centers for NDD received a comprehensive diagnostic evaluation, including the Child Behavior Checklist 1.5-5 (CBCL), the Autism Diagnostic Observation Schedule-2 (ADOS-2), and standardized tests of cognitive and global development. Sleep disturbances were assessed with the CBCL-sleep score, and ED with the CBCL Attention, Aggression, and Anxious/Depressed scales (CBCL-AAA). A reassessment of sleep and ED was conducted after 6 months or longer, including the Child Sleep Habits Questionnaire (CSHQ). Multivariate analyses and mixed linear regression models were conducted.

A total of 136 children, 75.7% male, median age 38.27 months, IQR 15.39, 41.2% with global developmental disorder (GDD) or intellectual disability (ID) participated in the study. Of them, 64.7% were diagnosed with autism spectrum disorder (ASD) and 35.3% with other NDD (w/o ASD). Sleep disturbances (CBCL-Sleep) and ED (CBCL-AAA) were positively correlated (p < 0.001), after accounting for age, ID/GDD and autism symptom severity, in both the entire sample and separately in each diagnostic group (ASD and NDD w/o ASD). Seventy-five children (55%) were reassessed a mean 17.2 months afterwards. There was persistence of the positive correlation between sleep problems and ED (p < 0.001) in both the entire sample and each diagnostic group. The longitudinal mixed linear model showed that ED at follow-up was predicted by baseline sleep problems (p = 0.008), ED (p < 0.001), and ASD severity (p = 0.015).

Sleep disturbances are significantly associated with ED in young children with NDD, either with or without ASD, both cross-sectionally and prospectively over time. Sleep problems represent an important comorbidity and a potential treatment target for improving emotional stability in NDD.