The efficacy of weighted blankets for sleep in children with attention-deficit/hyperactivity disorder-A randomized controlled crossover trial

Weighted blankets are a non-pharmacological intervention for treating sleep and anxiety problems in children with attention-deficit/hyperactivity disorder. However, research on the efficacy of weighted blankets is sparse. The aim of this randomized controlled trial with a crossover design (4 + 4 weeks) was to evaluate the efficacy of weighted blankets on sleep among children with attention-deficit/hyperactivity disorder and sleeping problems. Children diagnosed with uncomplicated Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition attention-deficit/hyperactivity disorder with verified sleep problems were randomized to start with either a weighted blanket or a lighter control blanket. Data collection was performed at weeks 0, 4 and 8 using actigraphy, questionnaires and a daily sleep diary. T-tests were used to evaluate efficacy. The study included 94 children with attention-deficit/hyperactivity disorder (mean age 9.0 [sd 2.2] years; 54 [57.4%] boys). Weighted blankets had a significant effect on total sleep time (mean diff. 7.72 min, p = 0.027, Cohen's d = 0.24), sleep efficiency (mean diff. 0.82%, p = 0.038, Cohen's d = 0.23) and wake after sleep onset (mean diff. -2.79 min, p = 0.015, Cohen's d = -0.27), but not on sleep-onset latency (p = 0.432). According to our exploratory subgroup analyses, weighted blankets may be especially beneficial for improving total sleep time in children aged 11-14 years (Cohen's d = 0.53, p = 0.009) and in children with the inattentive attention-deficit/hyperactivity disorder subtype (Cohen's d = 0.58, p = 0.016). Our results suggest that weighted blankets may improve children's sleep and could be used as an alternative to pharmacological sleep interventions.

A pilot randomised controlled trial exploring the feasibility and efficacy of a human-AI sleep coaching model for improving sleep among university students

Objective

Sleep quality is a crucial concern, particularly among youth. The integration of health coaching with question-answering (QA) systems presents the potential to foster behavioural changes and enhance health outcomes. This study proposes a novel human-AI sleep coaching model, combining health coaching by peers and a QA system, and assesses its feasibility and efficacy in improving university students' sleep quality.

Methods

In a four-week unblinded pilot randomised controlled trial, 59 university students (mean age: 21.9; 64% males) were randomly assigned to the intervention (health coaching and QA system; n = 30) or the control conditions (QA system; n = 29). Outcomes included efficacy of the intervention on sleep quality (Pittsburgh Sleep Quality Index; PSQI), objective and self-reported sleep measures (obtained from Fitbit and sleep diaries) and feasibility of the study procedures and the intervention.

Results

Analysis revealed no significant differences in sleep quality (PSQI) between intervention and control groups (adjusted mean difference = -0.51, 95% CI: [-1.55-0.77], p = 0.40). The intervention group demonstrated significant improvements in Fitbit measures of total sleep time (adjusted mean difference = 32.5, 95% CI: [5.9-59.1], p = 0.02) and time in bed (adjusted mean difference = 32.3, 95% CI: [2.7-61.9], p = 0.03) compared to the control group, although other sleep measures were insignificant. Adherence was high, with the majority of the intervention group attending all health coaching sessions. Most participants completed baseline and post-intervention self-report measures, all diary entries, and consistently wore Fitbits during sleep.

Conclusions

The proposed model showed improvements in specific sleep measures for university students and the feasibility of the study procedures and intervention. Future research may extend the intervention period to see substantive sleep quality improvements.

Report from a randomized control trial: improved alignment between circadian biology and sleep-wake behavior as a mechanism of depression symptom improvement in evening-type adolescents with depressive symptoms

STUDY OBJECTIVES

An evening circadian preference is common among adolescents. It is characterized by a behavioral predilection for later sleep and wake timing and is associated with higher rates of Major Depressive Disorder (MDD). The present study aims to (a) test the effectiveness of a cognitive behavioral sleep intervention (Transdiagnostic Sleep and Circadian Intervention; TranS-C) in a sample of adolescents with an evening circadian preference and clinically significant depressive symptoms and (b) evaluate improved alignment between circadian biology and sleep-wake behavior as a potential mechanism in the relationship between sleep and depression symptom improvement.

METHODS

Adolescents with an evening circadian preference and clinically significant depressive symptoms were randomized to receive TranS-C (n = 24) or a psychoeducation condition (PE; n = 18). Alignment between circadian biology and sleep-wake behavior was measured using objective biological measurement. Measures of sleep and circadian rhythm were taken at pre- and posttreatment, and depression symptoms were measured at pre- and posttreatment and 6- and 12-month follow-up.

RESULTS

Mixed effects modeling revealed that compared with an active control condition, TranS-C resulted in a significant reduction in MDD severity at 12-month follow-up. A MacArthur mediation analysis conducted to explore alignment between circadian biology and sleep-wake behavior as a mediator of depression severity reduction through 12-month follow-up revealed a significant interaction between change in alignment between circadian biology and sleep-wake behavior and treatment arm, indicating that improved alignment between circadian biology and sleep-wake behavior at posttreatment was associated with improvements in depression outcomes at 12-month follow-up under the treatment condition.

CONCLUSIONS

These results provide novel evidence for improved alignment between circadian biology and sleep-wake behavior as a specific mechanism of depression improvement, provide key clues into the complex relationship between sleep and depression, and have significant clinical implications for adolescents with depression.

The effectiveness of weighted blankets on sleep and everyday activities - A retrospective follow-up study of children and adults with attention deficit hyperactivity disorder and/or autism spectrum disorder

BACKGROUND

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.

AIM

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.

MATERIAL AND METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

On the Efficacy of a CBT-I-Based Online Program for Sleep Problems: A Randomized Controlled Trial

There is an urgent need for easily accessible treatment options for sleep problems to reduce the current treatment gap in receiving cognitive behavioral therapy for insomnia (CBT-I). Using a randomized controlled trial, we evaluated the efficacy of a CBT-I-based online program on sleep. Fifty-three volunteers (21-71 years; MAge = 44.6 ± 12.5; 27 female) suffering from impaired sleep were randomly allocated either to the experimental group (EG, n = 27) or to an active control group (CG, n = 26). The EG participated in a 6-week CBT-I-based online program, while the CG received psychoeducation and sleep hygiene instructions. Sleep was assessed both objectively via ambulatory polysomnography (PSG) as well as subjectively via questionnaires at three time points (baseline, pre- and post-intervention). A one-month follow-up assessment was performed using questionnaires. The EG showed small but reliable improvements from pre- to post-intervention in PSG-derived wake after sleep onset (from 58.6 min to 42.5 min; p < 0.05) and sleep efficiency (from 86.0% to 89.2%; p < 0.05). Furthermore, subjective sleep quality (assessed via Pittsburgh Sleep Quality Index) improved significantly during intervention (p = 0.011) and follow-up (p = 0.015) in the EG alone. The Insomnia Severity Index decreased from pre- to post-intervention in both groups (EG: p = 0.003, CG: p = 0.008), while it further improved during follow-up (p = 0.035) in the EG alone. We show that a CBT-I-based online program can improve sleep not only subjectively but also objectively and can be a viable alternative when face-to-face interventions are not available.

Interventions to improve the sleep of nurses: A systematic review

Nurses are at a high risk for short sleep duration and poor sleep quality due to irregular work schedules and high occupational stress. Considering the effect of nurses' sleep on the safety and health of themselves and their patients, it is important to promote healthy sleep for nurses. We sought to synthesize the published experimental and quasi-experimental studies that address interventions to improve sleep in nurses. A systematic search was conducted for studies published in English up until May 15, 2023, using the databases PubMed, CINAHL, Academic Search Ultimate, and PsycINFO. In total, 38 articles were included, covering 22 experimental and 16 quasi-experimental studies with sample sizes ranging from 9 to 207. Studies were assessed using the Cochrane Risk of Bias tool and considered as low to medium quality. Thirty-six of the 38 studies reported positive findings for at least one sleep outcome. Intervention types included aroma therapy, dietary supplements, cognitive behavioral therapy, light therapy, mind-body therapy, sleep education, exercise, napping, shift schedule modification, and multicomponent intervention, all of which showed moderate effectiveness in promoting sleep outcomes of nurses. Comparing and contrasting studies on specific interventions for improving sleep in nurses is sparse and often equivocal. With the variations of research methodology and outcome measures, it is difficult to make a conclusion about each intervention's effectiveness on specific sleep outcomes. Additional high-quality research, including randomized controlled trials, is needed to evaluate strategies for improving sleep in this unique, safety-sensitive occupational group.

A real-time, personalized sleep intervention using mathematical modeling and wearable devices

The prevalence of artificial light exposure has enabled us to be active any time of the day or night, leading to the need for high alertness outside of traditional daytime hours. To address this need, we developed a personalized sleep intervention framework that analyzes real-world sleep-wake patterns obtained from wearable devices to maximize alertness during specific target periods. Our framework utilizes a mathematical model that tracks the dynamic sleep pressure and circadian rhythm based on the user's sleep history. In this way, the model accurately predicts real-time alertness, even for shift workers with complex sleep and work schedules (N = 71, t = 13~21 days). This allowed us to discover a new sleep-wake pattern called the adaptive circadian split sleep, which incorporates a main sleep period and a late nap to enable high alertness during both work and non-work periods of shift workers. We further developed a mobile application that integrates this framework to recommend practical, personalized sleep schedules for individual users to maximize their alertness during a targeted activity time based on their desired sleep onset and available sleep duration. This can reduce the risk of errors for those who require high alertness during nontraditional activity times and improve the health and quality of life for those leading shift work-like lifestyles.

Systematic Review of Hypnotherapy for Sleep and Sleep Disturbance

Sleep disturbance can negatively affect physical and psychological health. Hypnotherapy may be effective for improving sleep with fewer side effects than other treatments. The purpose of this systematic review is to comprehensively identify studies and evidence regarding hypnotherapy for sleep disturbances. Four databases were searched to identify studies examining the use of hypnotherapy for sleep in adult populations. The search yielded 416 articles, of which 44 were included. Qualitative data analysis revealed that 47.7% of the studies showed positive results regarding the impact of hypnotherapy for sleep, 22.7% showed mixed results, and 29.5% showed no impact. A subset of 11 studies that set sleep disturbance as an inclusion criterion and included suggestions for sleep were examined separately and had more favorable results, such that 54.5% showed positive results, 36.4% showed mixed results, and 9.1% showed no impact results. Hypnotherapy appears to be a promising treatment for sleep disturbance. Future studies should report effect sizes, adverse events, and hypnotizability and include sleep-specific suggestions, standardized measures, and descriptions of hypnotherapy intervention procedures.

A low-threshold sleep intervention for improving sleep quality and well-being

BACKGROUND

Approximately one-third of the healthy population suffer from sleep problems, but only a small proportion of those affected receive professional help. Therefore, there is an urgent need for easily accessible, affordable, and efficacious sleep interventions.

OBJECTIVE

A randomized controlled study was conducted to investigate the efficacy of a low-threshold sleep intervention consisting of either (i) sleep data feedback plus sleep education or (ii) sleep data feedback alone in comparison with (iii) no intervention.

MATERIAL AND METHODS

A total of 100 employees of the University of Salzburg (age: 39.51 ± 11.43 years, range: 22-62 years) were randomly assigned to one of the three groups. During the 2-week study period, objective sleep parameters were assessed via actigraphy. In addition, an online questionnaire and a daily digital diary were used to record subjective sleep parameters, work-related factors, as well as mood and well-being. After 1 week, a personal appointment was conducted with participants of both experimental group 1 (EG1) and experimental group 2 (EG2). While the EG2 only received feedback about their sleep data from week 1, the EG1 additionally received a 45-min sleep education intervention containing sleep hygiene rules and recommendations regarding stimulus control. A waiting-list control group (CG) did not receive any feedback until the end of the study.

RESULTS

Results indicate positive effects on sleep and well-being following sleep monitoring over the course of 2 weeks and minimal intervention with a single in-person appointment including sleep data feedback. Improvements are seen in sleep quality, mood, vitality, and actigraphy-measured sleep efficiency (SE; EG1), as well as in well-being and sleep onset latency (SOL) in EG2. The inactive CG did not improve in any parameter.

CONCLUSION

Results suggest small and beneficial effects on sleep and well-being in people being continuously monitored and receiving (actigraphy-based) sleep feedback when paired with a single-time personal intervention.

A Qualitative Investigation Into What Parents Want From an Online Behavioural Sleep Intervention for Children With Epilepsy

Many of the same sleep problems seen in typically developing (TD) children are frequently experienced by children with epilepsy (CWE). Behavioural sleep interventions (BSIs) are commonly and successfully used to treat these sleep problems in TD children and in some neurodevelopmental disorder populations. Therefore, BSIs should be effective in CWE, however, there are special seizure-related considerations for CWE and their parents which may be salient to consider in any future BSI development for this group. The current study sought to identify, from parents, if there were special considerations for the content and delivery of an online BSI for parents of CWE. Semi-structured interviews were conducted with nine mothers of CWE and thematic analysis was conducted on the interview data. Ten themes were apparent which represented what parents wanted from any online BSI for CWE. Parents wanted (i) other parents' views and real-life experiences to be included, (ii) recognition of how changes over time may influence the appropriateness of using various sleep-management options, (iii) to be presented with a range of sleep management options from which they could select, (iv) personalised information and suggestions for behaviour-change options, (v) help to address child anxiety around sleep, (vi) for the advice and behaviour-change options to be practical, (vii) general educational information about sleep and the relationship between sleep and epilepsy, (viii) for parental worries and concerns to be acknowledged, (ix) to receive help, support, and reassurance around children's sleep; and (x) to include the child in the intervention. It was clear that any online BSI would require specific adaptations and additions (to content and delivery format) to best meet the needs of parents of CWE. It is hoped that having identified what parents want from on online BSI for CWE will allow these factors to be acknowledged in future intervention development, with the intention to optimise parental engagement and intervention effectiveness. Practical suggestions for how these aspects could be integrated into any online BSI are suggested.

Effect of a behavioral-educational sleep intervention for first-time mothers and their infants: pilot of a controlled trial

STUDY OBJECTIVES

This study tested the acceptability and efficacy of a perinatally delivered behavioral-educational sleep intervention.

METHODS

Participants were 40 primiparous women assigned in late pregnancy to either an intervention (n = 20) or control (n = 20) group. The sleep intervention group (SIG) received prenatal anticipatory education and guidance regarding their own and their infant's sleep during the first 3 months postpartum. This was reinforced during phone calls within the first 6 weeks postpartum. The control group (CG) received brief sleep hygiene information at a prenatal session, followed by 2 phone calls during the same period. Mother-infant pairs wore actigraphs for 48 hours at 6 and 12 weeks postpartum, and mothers kept sleep diaries. Questionnaires completed in late pregnancy and 6 and 12 weeks postpartum related to sleep, newborn care, and mood. The main outcome measures included maternal sleep quantity, efficiency, and self-reported quality and infant sleep duration and consolidation.

RESULTS

Mothers reported high acceptability of the study processes. Sleep duration and quality increased for mothers and infants across time in both groups, with a significantly greater increase in nocturnal sleep duration for mothers in the SIG.

CONCLUSIONS

Prenatal sleep guidance and postnatal follow-up seems to enhance nocturnal sleep of mothers, change their perceptions of their own sleep, and increase confidence in managing their infant's sleep. Follow-up at later intervals and replication with larger, more diverse samples may reveal further differences.

Sleep Well Be Well: Pilot of a digital intervention to improve child behavioural sleep problems

AIM

To investigate whether a digital sleep intervention improves child and care giver sleep and psychosocial outcomes.

METHODS

A total of 120 families with children aged 2-13 years, reporting moderate to severe child behavioural sleep problems, were recruited from a hospital sleep clinic waitlist or the community. Children from non-English speaking families, with known intellectual disability (IQ < 70) or severe medical problems excluded. Tailored behavioural sleep strategies were delivered to primary care givers via a smart phone app and complementary website. Eligible families completed a baseline questionnaire and child 'sleep check' then received the digital sleep intervention for 5 weeks, and then completed a post questionnaire.

OUTCOMES

care giver report of child sleep as no/mild versus moderate/severe problem over past month (primary outcome); problem child sleep patterns (Brief Infant Sleep Questionnaire or Child Sleep Habits Questionnaire), child temperament, care giver mental health (Kessler 6), care giver sleep, health service use for their child's sleep and time off work/activities to access services.

RESULTS

At follow up, care givers reported fewer moderate/severe child sleep problems (84.6-40.7%), improved problem child sleep patterns, better temperament and improved care giver mental health. Care giver sleep quality and quantity remained unchanged. Health service use (averaged over a 6-month period pre- and post-intervention) fell from 18.9% pre- to 14.1% post-intervention.

CONCLUSION

A digital sleep intervention appears promising in improving sleep in children with moderate/severe behavioural sleep problems, and care giver mental health. It may be a useful alternative to face-to-face management of behavioural sleep problems.

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.

A Review of Pediatric Nonpharmacological Sleep Interventions: Effects on Sleep, Secondary Outcomes, and Populations With Co-occurring Mental Health Conditions

Sleep problems are common in school-age children and linked to numerous negative outcomes. Sleep disturbances are particularly common in children with mental health disorders, such as attention-deficit/hyperactivity disorder, depression, and anxiety. Despite frequent use of nonpharmacological pediatric sleep interventions to treat common sleep problems, there is a paucity of research on whether these interventions are effective. Further, it is unclear whether by targeting sleep, these interventions lead to broader improvements in the domains of functioning that are commonly affected by poor sleep. The present review includes 20 studies that evaluated nonpharmacological sleep treatments for school-aged youth, including 5 studies specifically focused on youth with externalizing or internalizing problems. Multimodal approaches consisting of psychoeducation and sleep hygiene in combination with other components were effective at treating insomnia and general sleep problems in typically developing samples. The addition of behavioral parent training to sleep interventions was effective for youth with externalizing problems, whereas incorporating cognitive strategies into sleep interventions for youth with internalizing problems was found to be ineffective. A variety of secondary outcomes were examined, with the strongest support emerging for improvement in anxiety and behavioral problems. Implications for clinical practice and future research directions are discussed.

Behavioral Modification Enhances the Benefits from Structured Aerobic and Resistance Training

Behavioral modification (BM) is a strategy designed to sustain or restore well-being through effects such as enhanced relaxation, reduced stress, and improved sleep. Few studies have explored the role of BM delivered in the context of fitness programs for healthy adults. Thus, the purpose of this investigation was to examine whether BM combined with aerobic and resistance training programs would improve health and fitness measures more than the exercise training alone. Thirty-two healthy fitness club members (19 men) were randomized to receive a BM program (n=15) or an equal-attention (EA) control (n=17). BM consisted of twelve, 10-min education sessions between a trained fitness professional and the participant, coupled with weekly, individualized relaxation, stress reduction, and sleep improvement assignments. All participants engaged in 1 h of coached resistance training and remotely guided aerobic exercise thrice weekly for 12 weeks. Fitness measures (aerobic performance, body composition, muscle strength and endurance, lower-body power), sleep characteristics, and heart rate variability (HRV) were obtained at baseline and after the 12-week program. BM resulted in greater improvements in aerobic performance (increased maximum oxygen uptake, metabolic (lactate) threshold, and percent of maximum oxygen uptake at which metabolic threshold occurred), peak and average lower-body power, and body composition (decreased body fat percentage and fat mass) compared to EA. BM also positively influenced parasympathetic tone through increased High-frequency HRV. BM resulted in greater improvements in fitness measures, body composition, and heart rate variability compared with EA. These findings have intriguing implications regarding the role of BM in augmenting health and physical performance.

Modifying the Sleep Treatment Education Program for Students to include technology use (STEPS-TECH): Intervention effects on objective and subjective sleep outcomes

University students often have sleep issues that arise from poor sleep hygiene practices and technology use patterns. Yet, technology-related behaviors are often neglected in sleep hygiene education. This study examined whether the Sleep Treatment Education Program for Students-modified to include information regarding managing technology use (STEPS-TECH)-helps improve both subjective and objective sleep outcomes among university students. Results of an experimental study among 78 university students showed improvements in objective indicators of sleep quantity (total sleep time) and sleep quality (less awakenings) during the subsequent week for students in the STEPS-TECH intervention group compared to a control group. Exploratory analyses indicated that effects were driven by improvements in weekend days immediately following the intervention. There were also no intervention effects on subjective sleep quality or quantity outcomes. In terms of self-reported behavioral responses to educational content in the intervention, there were no group differences in sleep hygiene practices or technology use before bedtime. However, the intervention group reported less technology use during sleep periods than the control group. These preliminary findings suggest that STEPS-TECH may be a useful educational tool to help improve objective sleep and reduce technology use during sleep periods among university students.

Discussion of Extinction-Based Behavioral Sleep Interventions for Young Children and Reasons Why Parents May Find Them Difficult

ABSTRACT

The majority of behavioral sleep interventions for young children involve extinction procedures where parents must ignore their child's cries for a period. Many parents have difficulties with this, contributing to attrition, non-compliance, and treatment avoidance. Yet why these methods are difficult to implement has rarely been addressed in the literature. This paper discusses seven potential reasons why parents may find extinction sleep interventions difficult: enduring crying, practical considerations, fear of repercussions, misinformation, incongruence with personal beliefs, different cultural practices, and parent wellness. These reasons are discussed in relation to the current literature. Practicing health professionals and sleep researchers could benefit from an awareness of these issues when suggesting extinction interventions and offering alternatives which may be more appropriate for family circumstances and facilitate parental informed choice.

Resistance to Cry Intensive Sleep Intervention in Young Children: Are We Ignoring Children's Cries or Parental Concerns?

The majority of behavioural sleep interventions for young children (defined as 5 years of age or less) involve extinction procedures where parents must ignore their child’s cries for a period. Many parents have difficulties implementing and maintaining these procedures, leading to attrition, non-compliance and treatment avoidance. Yet the reasons for these methods being difficult to implement for parents have not been well understood or addressed in the literature. In fact, they are being ignored. We discuss that understanding and addressing parental concerns may enable better targeted sleep interventions.