The effects of improving sleep on mental health (OASIS): a randomised controlled trial with mediation analysis

Life changes and symptoms of depression and anxiety among Chinese children and adolescents before, during, and after the COVID-19 pandemic lockdown: a combination of cross-sectional, longitudinal, and clustering studies

The measures to prevent COVID-19 pandemic had caused significant life changes, which may have caused stress on the mental health of children and adolescents. We aimed to evaluate the short- and long-term effects of life changes on children's mental health in a large Chinese cohort. Survey-based life changes during COVID-19 lockdown were measured among 7,829 Chinese students at Grade 1-9, including social contacts, lifestyles and family financial status. Clustering analysis was applied to identify potential patterns of these changes. Depressive and anxiety symptoms were measured using the Center for Epidemiologic Studies Depression Scale and Screen for Child Anxiety Related Emotional Disorders. Logistic regression models were used to investigate the associations between these changes, their patterns and the presence of depression/anxiety symptoms using both cross-sectional and longitudinal designs. We found that the prevalence of depression and anxiety symptoms decreased during pandemic (34.6-32.6%). However, during and shortly after lockdown, students who reported negative impacts on their study, social and outside activities, and diet had increased risks of depressive/anxiety symptoms. Decreased electronic time and sugar-sweetened consumption, as well as family income decline and unemployment, were also associated with higher risks of these symptoms. Additionally, students with changed sleep time had increased depressive symptoms. These associations attenuated or disappeared one year later. Similar patterns were observed in clustering analysis, while only the group with severe impact on family financial status showed a sustained increase in depression symptoms. In summary, restrictive measures that changed children and adolescents' daily life during COVID-19 lockdown showed negative effects on their mental health, with some commonalities and distinctions patterns in the manifestation of depression and anxiety symptoms.

Translated and culturally adapted internet-delivered cognitive therapy for social anxiety disorder in Japanese clinical settings: study protocol for a randomised controlled trial

BACKGROUND

Cognitive therapy for social anxiety disorder (CT-SAD) has extensive empirical support and is recommended in several national guidelines. However, ensuring access to evidence-based psychological therapies such as CT-SAD remains a global challenge. An internet-delivered version of this treatment protocol (iCT-SAD) has recently been developed in the UK as a way to overcome this challenge, demonstrating comparable outcomes to face-to-face CT-SAD whilst requiring less therapist time per client. Initial findings also suggest its cross-cultural transferability, but the previous studies in other cultural settings used the English language programme and only included English-fluent participants as a second language. It is not yet known what outcomes can be achieved once the programme has been translated and adapted for a different cultural context. Therefore, this trial aims to evaluate the clinical efficacy of Japanese iCT-SAD when combined with treatment as usual (TAU) in clients with SAD.

METHODS

This two-arm, parallel-group, superiority randomised controlled trial will recruit 60 Japanese participants with SAD, randomly assigning them to either Japanese iCT-SAD + TAU or TAU alone at a ratio of 1:1. The primary outcome measure is the self-report Liebowitz Social Anxiety Scale, and secondary.outcomes include other measures of social anxiety symptoms and processes, general mood and functioning, and response to treatment. We will also assess treatment acceptability and gather participant feedback. Assessments will take place at baseline (week 0), mid-treatment (week 8), and post-treatment (week 15), with a further 3-month follow-up (week 27) for the iCT-SAD + TAU arm. The primary analyses will be conducted on an intent-to-treat basis, comparing the primary and secondary outcome measures between groups using linear mixed-effect models, along with additional mediation analysis.

DISCUSSION

Investigating the efficacy of translated and culturally adapted iCT-SAD in different cultural contexts is an important step in evaluating the global reach of internet interventions. This trial will provide valuable insights into the effects of iCT-SAD combined with usual care, and how this treatment could be delivered in routine clinical settings in Japan.

TRIAL REGISTRATION

International Standard Randomized Controlled Trials (ISRCTN), ISRCTN82859645, registered on January 19, 2024. UMIN Clinical Trials Registry (UMIN-CTR), UMIN000052702, registered on November 6, 2023.

Neurexan Prescription Is Associated with Lower Risk of Sleep Disorder Recurrence and Depression Prevalence as Compared to Z-Drugs and Benzodiazepines: A Retrospective Database Analysis in Germany

Real-world evidence on the association between natural medicinal products and the recurrence of sleep disorders is currently limited, particularly when compared to the evidence reported for prescription hypnotics. In a retrospective cohort analysis, we investigated patients with sleep disorders prescribed either the natural medicinal product Neurexan (Nx4), benzodiazepines, or nonbenzodiazepines (Z-drugs) using the IQVIA Disease Analyzer database, which encompasses electronic medical records nationwide in Germany. A 1:1 matching procedure based on age, sex, prevalent depression, anxiety or adjustment disorder, and the number of medical consultations in the past 12 months resulted in four cohorts: patients prescribed Nx4 were matched with those prescribed Z-drugs (two cohorts with 8594 matched patients each), and another cohort of patients prescribed Nx4 were matched with those prescribed benzodiazepines (7779 matched pairs). Results from multivariable-adjusted Cox regression models demonstrated that Nx4 was associated with a significantly lower risk of recurrent sleep disorder diagnosis within 30-365 days after prescription compared to both Z-drugs (HR = 0.65, 95%CI = 0.60-0.70, p < 0.001) and benzodiazepines (HR = 0.85, 95%CI = 0.79-0.93, p < 0.001). Additionally, Nx4 was associated with a lower prevalence of depression compared to Z-drugs (HR = 0.90, 95%CI = 0.83-0.98, p = 0.020) and benzodiazepines (HR = 0.89, 95%CI = 0.82-0.97, p = 0.009). These findings suggest an association between Nx4 and improved sleep and mental health outcomes. However, due to inherent limitations in the study design, the causality of this relationship cannot be stated.

Sleep profiles of different psychiatric traits

Disturbed sleep comes in many forms. While the key role of sleep in mental health is undisputed, our understanding of the type of sleeping problems that manifest in the early stages of psychiatric disorders is limited. A sample without psychiatric diagnoses (N = 440, 341 women, 97 men, 2 non-binaries; Mage = 32.1, SD = 9.4, range 18-77) underwent a comprehensive assessment, evaluating eight sleep features and 13 questionnaires on common psychiatric complaints. Results revealed that traits of affect disorders, generalized anxiety, and ADHD had the worst sleep profiles, while autism disorder, eating disorder, and impulsivity traits showed milder sleep issues. Mania was the only trait associated with an overall better sleep profile. Across traits, insomnia and fatigue dominated and sleep variability was least prominent. These findings provide support for both transdiagnostic and disorder-specific targets for prevention and treatment.

Quantifying the interrelationships between physical, social, and cognitive-emotional components of mental fitness using digital technology

Mental fitness is a construct that goes beyond a simple focus on subjective emotional wellbeing to encompass more broadly our ability to think, feel, and act to achieve what we want in our daily lives. The measurement and monitoring of multiple (often interacting) domains is crucial to gain a holistic and complete insight into an individual's mental fitness. We aimed to demonstrate the capability of a new mobile app to characterise the mental fitness of a general population of Australians and to quantify the interrelationships among different domains of mental fitness. Cross-sectional data were collected from 4901 adults from the general population of Australians engaged in work or education who used a mobile app (Innowell) between September 2021 and November 2022. Individuals completed a baseline questionnaire comprised of 26 questions across seven domains of mental fitness (i.e., physical activity, sleep and circadian rhythms, nutrition, substance use, daily activities, social connection, psychological distress). Network analysis was applied at both a domain-level (e.g., 7 nodes representing each cluster of items) and an individual item-level (i.e., 26 nodes representing all questionnaire items). Only 612 people (12%) were functioning well across all domains. One quarter (n = 1204, 25%) had only one problem domain and most (n = 3085, 63%) had multiple problem domains. The two most problematic domains were physical activity (n = 2631, 54%) and social connection (n = 2151, 44%), followed closely by daily activity (n = 1914, 39%). At the domain-level, the strongest association emerged between psychological distress and daily activity (r = 0.301). Psychological distress was the most central node in the network (as measured by strength and expected influence), followed closely by daily activity, sleep and circadian rhythms and then social connection. The item-level network revealed that the nodes with the highest centrality in the network were: hopelessness, depression, functional impairment, effortfulness, subjective energy, worthlessness, and social connectedness. Social connection, sleep and circadian rhythms, and daily activities may be critical targets for intervention due to their widespread associations in the overall network. While psychological distress was not among the most common problems, its centrality may indicate its importance for indicated prevention and early intervention. We showcase the capability of a new mobile app to monitor mental fitness and identify the interrelationships among multiple domains, which may help people develop more personalised insights and approaches.

Cognitive behavior therapy for insomnia in university students delivered via videoconferencing groups: A pilot study

INTRODUCTION

Sleep difficulties are common amongst university students and are associated with mental illness and reduced wellbeing. This paper reports a pilot study of Cognitive Behavior Therapy for Insomnia (CBT-I) tailored specifically for university students. It was hypothesized that the intervention would be feasible, acceptable, and improve sleep, anxiety, depression, and wellbeing.

METHOD

Students aged 18-25 participated via videoconferencing small group sessions of CBT-I. Feasibility was assessed through sign-up, consent rates, and study attrition, while acceptability was assessed using intervention adherence and a measure of intervention acceptability. Outcome measures included sleep quality, insomnia, suicidal ideation, symptoms of depression, anxiety, and wellbeing, and were assessed at baseline and post-intervention.

RESULTS

Participants were 44 students (M = 21.8 years). Feasibility was confirmed by sign-up and consent rates (80% of the students who expressed interest agreed to participate); overall study attrition was 48%, comprised largely of participants not commencing treatment (27%). Participants perceived the program as effective and logical and made use of the skills suggested. In terms of adherence, 82% of the participants who engaged with treatment attended two or more sessions and 63% attended all four sessions; and 92% were either very satisfied or mostly satisfied. Sleep quality, insomnia, depression, anxiety, and wellbeing all significantly improved from pre- to post-intervention.

DISCUSSION

There was evidence that the CBT-I intervention tailored for university students was acceptable to participants and could be feasible to deliver. Sleep quality, depression, anxiety, and wellbeing improved significantly. These findings suggest that the intervention is suitable for evaluation in a fully powered randomized controlled trial.

Association between non-restorative sleep and psychotic-like experiences among Chinese college students: A latent profile and moderated mediation analysis

BACKGROUND

Non-restorative sleep (NRS) is a core symptom of insomnia that has considerable consequences for daily life. However, the association between NRS and psychotic-like experiences (PLEs) remains unclear. The current study was designed to explore the relationship between NRS and PLEs as well as the mediation/moderation role of rumination and resilience among college students in China.

METHODS

3060 college students were recruited from two universities in South China from September 21st to October 26th, 2022. Non-restorative Sleep Scale, 8-item Positive Subscale of the Community Assessment of Psychic Experiences, Ruminative Response Scale, and 10-item Connor-Davidson Resilience Scale were administered. Latent profile analysis and moderated mediation analysis were performed.

RESULTS

11.3 % participants reported frequent PLEs in the past one month. Three profiles of rumination were identified and named as "low rumination" group (27.7 %), "medium rumination" group (55.3 %), and "high rumination" group (16.9 %). NRS directly predicted PLEs, and rumination played a significant mediation role between NRS and PLEs. Resilience significantly moderated the association between NRS and rumination as well as the association between NRS and PLEs.

CONCLUSIONS

NRS, rumination and resilience are important predictors to PLEs. Strategies on increasing restorative sleep, decreasing rumination, and enhancing resilience are of great significance in the prevention of PLEs.

Investigating the efficacy of digital cognitive behavioural therapy in comparison to a sleep-monitoring application via integrated diary and actigraphy: A randomised-controlled trial

Dissemination of digital cognitive behavioural therapy is a promising approach for treating insomnia in the broad population. Current evidence supports the effectiveness of the digital format, but clinical findings are often limited by the choice of control group and lack of in-depth therapeutic measures. This study was designed to investigate the specific effects of digital cognitive behavioural therapy in comparison to a self-monitoring application. Participants meeting criteria for insomnia were randomly allocated (1:1) to 8 weeks of digital cognitive behavioural therapy or 8 weeks of digital sleep monitoring (control application). The primary outcome, insomnia severity, was assessed at baseline, 8- and 16-weeks post-randomisation. Secondary outcomes included the assessment of sleep via application-integrated sleep diaries and actigraphy. Linear-mixed models were fitted to assess between-group differences. Fifty-six participants (48 females, mean age: M = 45.55 ± 13.70 years) were randomised to either digital cognitive behavioural therapy (n = 29) or digital sleep monitoring (n = 27). At 8- and 16-weeks post-randomisation, large treatment effects (d = 0.87-1.08) indicated robust reductions (-3.70 and -2.97, respectively; p ≤ 0.003) in insomnia severity in the digital cognitive behavioural therapy arm, relative to digital sleep monitoring. Treatment effects in favour of digital cognitive behavioural therapy were also found for self-reported and actigraphy-derived sleep continuity variables, indicating that sleep improved throughout the 8-week intervention period. Our study reinforces the role of digital cognitive behavioural therapy in achieving clinical improvements for patients with insomnia, affirming previous findings and supporting the specific effects of cognitive behavioural therapy.

Introduction and reflections on the comparative physiology of sleep and circadian rhythms

Circadian rhythms and the sleep/wake cycle allows us, and most life on Earth, to function optimally in a dynamic world, adjusting all aspects of biology to the varied and complex demands imposed by the 24-hour rotation of the Earth upon its axis. A key element in understanding these rhythms, and the success of the field in general, has been because researchers have adopted a comparative approach. Across all taxa, fundamental questions relating to the generation and regulation of sleep and circadian rhythms have been address using biochemical, molecular, cellular, system and computer modelling techniques. Furthermore, findings have been placed into an ecological and evolutionary context. By addressing both the "How" - mechanistic, and "Why" - evolutionary questions in parallel, the field has achieved remarkable successes, including how circadian rhythms are generated and regulated by light. Yet many key questions remain. In this special issue on the Comparative Physiology of Sleep and Circadian Rhythms, celebrating the 100th anniversary of the Journal of Comparative Physiology, important new discoveries are detailed. These findings illustrate the power of comparative physiology to address novel questions and demonstrate that sleep and circadian physiology are embedded within the biological framework of an organism.

Insomnia among college students: A bibliometric analysis from 2003 to 2022

BACKGROUND

Insomnia has become a common health problem in modern society, especially among college students. The purpose of this study was to analyze the research status, research hotspots and frontier trends of insomnia among college students over the past 20 years.

METHODS

VOSviewer 1.6.19 and CiteSpace 6.2 were used. R4: This study conducts a bibliometric and visualization analysis of the annual publications, authors, countries/regions, institutions, categories, journal/literature cocitations and keywords related to insomnia among college students in the Web of Science (WoS) core collection from 2003 to 2022.

RESULTS

A total of 590 studies were included, and the number of studies on insomnia among college students has steadily increased over the last 20 years. The authors of high yield are represented by Taylor DJ and Miller MB. The countries/regions with high yields were the USA and China. The institutions of high yield were King Saud University and Southern Medical University. Its research fields were mainly Clinical Neurology, Psychiatry and Neurosciences. Mental health and insomnia, sleep quality and the impact of coronavirus disease 2019 (COVID-19) on insomnia are current research hotspots. Future research could focus on predicting the chronotype and physical activity of insomnia students.

CONCLUSION

Through bibliometric and visualization analysis, this study investigated insomnia among college students over the past 20 years and preliminarily revealed the findings of coauthors and institutions. This study provides a general understanding of the research hotspots and frontier trends of insomnia among college students and provides some references for future research.

Neurocognitive consequences of adolescent sleep disruptions and their relationship to psychosis vulnerability: a longitudinal cohort study

Adolescence is a key period for neurocognitive maturation where deviation from normal developmental trajectories may be tied to adverse mental health outcomes. Cognitive disruptions have been noted in populations at risk for psychosis and are known to accompany periods of sleep deprivation. This study aims to assess the role of cognition as a mediator between sleep disruptions and psychosis risk. A cohort of 3801 high school students (51% female, mean age = 12.8, SD = 0.45 years) was recruited from 31 Montreal high schools. Measures of sleep, psychotic-like experiences, inhibition, working memory, perceptual reasoning, and delayed recall were collected from participants on a yearly basis over the five years of their high school education. A multi-level model mediation analysis was performed controlling for sex and time squared. Response inhibition was shown to be associated with, and to mediate (B = -0.005, SD = 0.003, p = 0.005*) the relationship between sleep disruptions (B = -0.011, SD = 0.004, p < 0.001*) and psychotic-like experiences (B = 0.411, SD = 0.170, p = 0.005*). Spatial working memory deficits on a given year were associated with a higher frequency of psychotic-like experiences that same year (B = -0.046, SD = 0.018, p = 0.005*) and the following year (B = -0.051, SD = 0.023, p = 0.010*), but were not associated with sleep disturbances. No significant associations were found between our variables of interest and either delayed recall or perceptual reasoning at the within person level. Findings from this large longitudinal study provide evidence that the association between sleep disruptions and psychosis risk is specifically mediated by inhibitory rather than general cognitive impairments. The association of spatial working memory, response inhibition, and sleep disruptions with psychotic-like experiences suggests that these factors may represent potential targets for preventative interventions.

Waking Up the Sleep Field: An Overview on the Implications of Genetics and Bioinformatics of Sleep

Sleep genetics is an intriguing, as yet less understood, understudied, emerging area of biological and medical discipline. A generalist may not be aware of the current status of the field given the variety of journals that have published studies on the genetics of sleep and the circadian clock over the years. For researchers venturing into this fascinating area, this review thus includes fundamental features of circadian rhythm and genetic variables impacting sleep-wake cycles. Sleep/wake pathway medication exposure and susceptibility are influenced by genetic variations, and the responsiveness of sleep-related medicines is influenced by several functional polymorphisms. This review highlights the features of the circadian timing system and then a genetic perspective on wakefulness and sleep, as well as the relationship between sleep genetics and sleep disorders. Neurotransmission genes, as well as circadian and sleep/wake receptors, exhibit functional variability. Experiments on animals and humans have shown that these genetic variants impact clock systems, signaling pathways, nature, amount, duration, type, intensity, quality, and quantity of sleep. In this regard, the overview covers research on sleep genetics, the genomic properties of several popular model species used in sleep studies, homologs of mammalian genes, sleep disorders, and related genes. In addition, the study includes a brief discussion of sleep, narcolepsy, and restless legs syndrome from the viewpoint of a model organism. It is suggested that the understanding of genetic clues on sleep function and sleep disorders may, in future, result in an evidence-based, personalized treatment of sleep disorders.

Sleep and mental health among Chinese adolescents: the chain-mediating role of physical health perception and school adjustment

OBJECTIVE

Sleep problems and their detrimental effects on adolescents' physical and mental health have received substantial attention. Prior studies have focused mainly on the direct association between sleep and mental health; however, little is known about the underlying mediating mechanism. To address this gap, the present study constructed a chain mediation model to examine the association between sleep deficiency and mental health status in adolescents, by introducing two mediating variables-physical health perception and school adjustment.

METHODS

A sample of 7530 senior high school students completed a battery of self-report questionnaires measuring their sleep duration, mental health status, physical health perception, and school adjustment. Data were collected from the Database of Youth Health at Shandong University. All the measures showed good reliability and validity in the present study. Data were analyzed using SPSS 25.0 and the SPSS PROCESS.

RESULTS

The results were as follows: (1) Sleep duration was significantly associated with physical health perception and mental health. (2) Physical health perception partially mediated the association between sleep and mental health. (3) Physical health perception and school adjustment played a chain mediating role between sleep and mental health. In conclusion, sleep not only directly associated with mental health among adolescents, but also influences mental health by the chain mediating effect of perception of physical health and school adjustment.

CONCLUSION

These findings in the present study contribute to understanding the mechanisms underlying the association between sleep and mental health and have important implications for interventions aimed at improving mental health status among adolescents in China. Our results indicated that promoting adequate sleep duration and improving sleep quality are possible key mental health promotion strategies for adolescents.

The CCJR® Gerard A. Engh Excellence in Knee Research Award: Remote Monitoring of Sleep Disturbance Following Total Knee Arthroplasty: A Cautionary Note

BACKGROUND

Sleep disturbances are common after total knee arthroplasty (TKA). Despite the rising popularity of wearables to track sleep, little evidence exists in the arthroplasty literature regarding their efficacy. We aimed to correlate validated wearable sleep metrics with patient-reported sleep quality following TKA.

METHODS

Patients undergoing primary TKA were consecutively enrolled. Patients used a wearable device preoperatively and 90 days postoperatively to track five previously-validated measures of sleep. Each month, they rated their sleep quality. Wearable sleep data was correlated with patient-reported sleep quality using a point biserial correlation test. Categorical data were compared using Chi-square tests. A total of 110 patients were included.

RESULTS

Preoperatively, 20.8% of patients reported "fairly bad" or "very bad" sleep; this increased to 44.4% 30 days postoperatively, then decreased to 26.5% 60 days postoperatively, and to 20.2% 90 days postoperatively. At 30 days postoperatively, time in bed, time asleep, and minutes of rapid eye movement sleep weakly correlated with patient-reported sleep quality (correlations 0.356, 0.345, and 0.345, respectively; P < .001). Sleep quality did not correlate with any wearable metric collected 60 or 90 days postoperatively.

CONCLUSIONS

Patient-reported sleep quality following TKA initially worsened postoperatively, then improved to preoperative levels by 90 days. Time in bed, time asleep, and rapid eye movement sleep minutes only weakly correlated with patient-reported sleep quality at 30 days; no other correlations were detected. Surgeons that utilize remote monitoring following TKA should be aware that surrogate measures generated from these devices may correlate weakly, if at all, with the patient-reported outcome of the parameter being studied.

Efficacy of a fish hydrolysate supplement on sleep quality: A randomized, double-blind, placebo-controlled, crossover clinical trial

BACKGROUND & AIMS

Sleep disturbances are widespread in modern societies and linked to a variety of diseases, creating an urgent need for the development of products that help combat sleep difficulties. One suitable nutritional supplement may be a fish hydrolysate composed of low molecular weight peptides.

METHODS

This two-arm, double-blind, randomized, placebo-controlled crossover study investigated the effect of a 4-week fish hydrolysate intervention on sleep in a healthy German population reporting poor sleep quality, assessed with the Pittsburgh Sleep Quality Index (PSQI). Further sleep parameters were measured using an online diary and a wrist wearable device. Additionally, questionnaires related to stress, anxiety, depression, and well-being were evaluated and salivary cortisol and product satisfaction were assessed.

RESULTS

The 4-week fish hydrolysate supplementation significantly improved subjective sleep quality measured with the PSQI-score (p = .002). Moreover, individuals reported improvements in sleep efficacy and a reduction in sleep disturbances and daytime sleepiness during fish hydrolysate intake (p = .013, p = .046, p = .004 respectively), but not during placebo phase (all p > .05). No significant intra-individual differences were found between fish hydrolysate and placebo supplementation (p > .05).

CONCLUSIONS

Although no significant intra-individual differences were found between fish hydrolysate and placebo supplementation, the significant improvement in subjective sleep quality from baseline to treatment phase suggests that fish hydrolysate is a safe nutritional supplement to support individuals with self-reported sleep problems.

CLINICAL TRIAL REGISTRATION

The study is registered at ClinicalTrials.gov with the Identifier NCT04983355.

A new insomnia treatment service: the benefits and challenges of establishing a trainee-led service

Chronic insomnia is undertreated in the UK despite being a common mental disorder that severely affects quality of life. The lead author, a psychiatry trainee, implemented a new group cognitive-behavioural therapy for insomnia (CBT-I) service for secondary care patients in London with chronic insomnia and comorbid mental illness. Expertise was propagated by trainees teaching other trainees. Nine patients completed all sessions, all with moderate-to-severe insomnia on the Insomnia Severity Index (ISI) at baseline assessment (mean score 21.6). All patients seen at follow-up had improved, scoring in the 'subthreshold' or 'no clinically significant insomnia' ranges on the ISI (mean 6.6), and all with improvements in comorbid psychiatric symptoms and functioning. This evaluation demonstrates that group CBT-I can be easily learned and delivered by those without formal CBT or sleep medicine training. This could increase the availability and accessibility of treatment. However, bureaucratic challenges were faced, and trainee-led innovations should be better facilitated.

A Preliminary Examination of the Effects and Mechanisms of Cognitive Behavioral Therapy for Insomnia on Systemic Inflammation Among Patients with Knee Osteoarthritis

BACKGROUND

Systemic inflammation, particularly the elevation of interleukin-6 (IL-6), plays an important role in the maintenance and progression of knee osteoarthritis. Insomnia, being highly prevalent in knee osteoarthritis, is understood to be a risk factor for systemic inflammation. The present study examined if cognitive behavioral therapy for insomnia (CBT-I) would reduce circulating IL-6 levels to a larger extent than the active control condition via greater improvement in sleep maintenance disturbance at mid-treatment, among individuals with knee osteoarthritis and insomnia disorder.

METHODS

This is an ancillary study (N = 64) from a larger double-blind, randomized, active controlled clinical trial. Serum IL-6 was measured at baseline, post-treatment, and 3- and 6-month follow-ups. Sleep was measured by daily sleep diaries.

RESULTS

Overall, there was no significant IL-6 trajectory differences between CBT-I and the active control (p = .64). Compared to the active control, CBT-I demonstrated greater improvement in sleep maintenance disturbance at mid-treatment (p = .01), which, in turn, was significantly associated with lower levels of IL-6 at 3-month follow-up (p < .05). Sleep maintenance disturbance at mid-treatment did not significantly predict changes in IL-6 levels at post-treatment (p = .43) and 6-month follow-up (p = .90).

CONCLUSIONS

Our study demonstrates that CBT-I can be efficacious in improving sleep maintenance disturbance among individuals with knee osteoarthritis and insomnia disorder. However, no convincing evidence was found that CBT-I can substantially reduce IL-6 levels via improvement in sleep. CBT-I alone may not be effective in reducing systematic inflammation in this clinical population.

TRIAL REGISTRATION

NCT00592449.

Effectiveness of an eHealth-Delivered Program to Empower People With Musculoskeletal Pain in Rural Australia: A Randomized Controlled Trial

OBJECTIVE

Our objective was to evaluate the effectiveness of a three-month physiotherapist-delivered eHealth physical activity program compared with usual care to improve function in adults with low back pain or knee osteoarthritis in rural Australia.

METHODS

This was a parallel, two-group, pragmatic, superiority, randomized controlled trial involving three- and six-month posttreatment follow-ups. There was a total of 156 adults with chronic nonspecific low back pain (n = 97) or knee osteoarthritis (n = 59) from rural Australia. The intervention involved an eHealth physical activity and an exercise program that included five to eight teleconsultations with a physiotherapist (primary time point three months) or usual care (eg, general practitioner, physiotherapy, and pain medication). The primary outcome was the Patient-Specific Functional Scale (0-30), with a three-point difference between groups being considered the minimum clinically important difference.

RESULTS

Participants receiving the eHealth intervention (n = 78) reported significantly greater and clinically worthwhile improvements in function (mean between-group difference 3.6; 95% confidence interval [CI] 1.3-5.9) compared to participants receiving usual care (n = 78). Small but statistically significantly greater improvements in disability (7.2 of 100; 95% CI 2.1-12.3) and quality of life (4.5 of 100; 95% CI 0.0-9.0) also favored the eHealth group. No clinical or statistical differences between groups were found for the secondary outcomes of pain, coping skills, and physical activity levels.

CONCLUSION

A physiotherapist-delivered eHealth intervention is effective and provides clinically meaningful improvements in function compared to usual care for people with musculoskeletal pain in rural communities. These findings highlight the potential for eHealth-based programs to improve access to evidence-based exercise interventions for people with musculoskeletal pain in rural communities.

Efficacy of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction for Depression Symptoms and Sleep-Wake Disruption in Older and Younger Adults: Secondary Age-Stratified Analysis of a Randomized Controlled Trial

OBJECTIVE

Perform a secondary analysis examining the efficacy of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) for depression symptom responses, and explore changes in potential target mechanisms.

DESIGN

Secondary analysis of a randomized controlled trial with convenience age subsamples (younger (20-49 year; n = 52) versus and older (50-71 years; n = 35)).

SETTING

Community mental health clinics.

PARTICIPANTS

Eighty-seven adults with serious mental illness.

INTERVENTION

TranS-C versus treatment as usual (TAU).

MEASUREMENTS

Outcomes were depression symptoms (Quick Inventory of Depression Symptoms), insomnia symptoms (Insomnia Severity Index), and objective sleep-wake rhythm measures (interdaily stability and relative amplitude).

RESULTS

Depression response rates (≥50% symptom reductions) were higher in the TranS-C (35.0%) than the TAU (8.8%) group 6-months postintervention (χ2 = 10.3, p = 0.001). There was a medium effect of TranS-C versus TAU on depression symptoms 6-months postintervention (Cohen's d = -0.40, 95% confidence interval (CI): -0.81, 0.01). In both age groups, there were large treatment effects on insomnia symptoms post-treatment (Cohen's d >0.90). In the older subsample, there were additionally medium treatment effects on post-treatment interdaily stability (Cohen's d = 0.60, 95% CI: -0.11, 1.61). Post-treatment reductions in insomnia symptoms correlated with depression symptom reduction 6-months later in the younger subsample (Spearman rho = 0.59, n = 20, p = 0.008). In older adults, postintervention increases in interdaily stability correlated with depression symptom reductions 6-months later (Spearman rho = -0.52, n = 15, p = 0.049).

CONCLUSION

Confirmatory trials are needed, given the low age-specific sample sizes here, to determine if TranS -C's produces durable depression responses by increasing sleep-wake rhythm stability in older adults and improving insomnia symptoms in younger adults.

BRIEF ARTICLE SUMMARY

The authors evaluated preliminary efficacy of a behavioral intervention that targets sleep/sleep-wake rhythms, the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C), for depression symptoms in people with serious mental illness. TranS-C was associated with higher depression response rates than treatment as usual 6-months postintervention. The degree of depression symptom response 6-months later was related to the degree of treatment phase improvements in interdaily stability (in older adults) and reduction in insomnia severity (in younger adults). A pragmatic nonpharmacologic intervention, the Transdiagnostic Intervention for Sleep and Circadian Dysfunction, has preliminary efficacy for improving sleep-wake factors and depression symptoms.

The role of rumination in the relationship between symptoms of insomnia and depression in adolescents

There is a strong relationship between the symptoms of insomnia and depression, however, little is understood about the factors that mediate this relationship. An understanding of these underlying mechanisms may inform the advancement of existing treatments to optimise reductions in insomnia and depression when they co-occur. This study examined rumination and unhelpful beliefs about sleep as mediators between symptoms of insomnia and depression. It also evaluated the effect of cognitive behavioural therapy for insomnia (CBT-I) on rumination and unhelpful beliefs about sleep, and whether these factors mediated the effect of CBT-I on depressive symptoms. A series of mediation analyses and linear mixed modelling were conducted on data from 264 adolescents (12-16 years) who participated in a two-arm (intervention vs. control) randomised controlled trial of Sleep Ninja®, a CBT-I smartphone app for adolescents. Rumination, but not unhelpful beliefs about sleep, was a significant mediator between symptoms of insomnia and depression at baseline. CBT-I led to reductions in unhelpful beliefs about sleep, but not in rumination. At the between-group level, neither rumination, nor unhelpful beliefs about sleep emerged as mechanisms underlying improvement in depression symptoms, however, rumination mediated within-subject improvements following CBT-I. The findings suggest rumination links symptoms of insomnia and depression and provide preliminary evidence that reductions in depression following CBT-I occurs via improvements in rumination. Targeting rumination may improve current therapeutic approaches.

Sleep disruption in adolescent inpatients: prevalence, associations with clinical outcomes, and clinician perspectives

Sleep problems are common for adolescents with psychiatric disorders, and sleep treatment may aid mental health recovery. Inpatient admissions are likely a particularly challenging time for sleep. Despite this little is known about the nature of sleep problems, and how sleep treatments could be optimised for this setting. This mixed-methods study set out to better understand sleep disturbances in adolescent inpatients. Study 1 examined the prevalence of Sleep Condition Indicator-assessed insomnia at admission and associations with psychiatric symptoms and admission length in 100 inpatients (aged 11-17 years) on one unit in Oxford. Data were gathered from admission routine measures and medical records. Associations were analysed using linear regressions. Half of the inpatients (n = 50) screened positive for insomnia at admission. Moderate-large significant associations were observed between more severe insomnia and more severe depression (β = -0.56), anxiety (β = -0.51), self-harm (β = -0.49), psychotic experiences (β = -0.32), and conduct problems (β = -0.30), but not admission length. Study 2 gained 12 clinicians' perspectives on sleep problems on the unit via a focus group and semi-structured interviews, analysed using thematic analysis. Ward staff observed insomnia and excessive daytime sleepiness in adolescent inpatients and a reciprocal relationship with mental health symptoms. Ward processes were barriers (e.g., night-time observations) and facilitators (e.g., regular routines) of sleep. Cognitive behavioural therapy for insomnia was not routinely offered but viewed as potentially helpful. Insomnia may be a common problem for adolescent inpatients, associated with greater psychopathology, but not admission length. The possible benefits of psychological sleep interventions for adolescents admitted to psychiatric units now require testing.

The impact of sleep education, light intervention and relaxation on sleep and mood in the elderly

Sleep and light education (SLE) combined with relaxation is a potential method of addressing sleep and affective problems in older people. 47 participants took part in a four-week sleep education program. SLE was conducted once a week for 60-90 minutes. Participants were instructed on sleep and light hygiene, sleep processes, and practiced relaxation techniques. Participants were wearing actigraphs for 6 weeks, completed daily sleep diaries, and wore blue light-blocking glasses 120 minutes before bedtime. Measures included scores of the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISS), Beck Depression Inventory-II (BDI-II), State-Trait Anxiety Inventory (STAI) and actigraphy measurements of sleep latency, sleep efficiency, and sleep fragmentation. Sleep quality increased after SLE based on the subjective assessment and in the objective measurement with actigraphy. PSQI scores were statistically reduced indicating better sleep. Scores after the intervention significantly decreased in ESS and ISS. Sleep latency significantly decreased, whereas sleep efficiency and fragmentation index (%), did not improve. Mood significantly improved after SLE, with lower scores on the BDI-II and STAI. SLE combined with relaxation proved to be an effective method to reduce sleep problems and the incidence of depressive and anxiety symptoms.

A Mixed-Methods, Multimedia Pilot Study to Investigate Sleep Irregularity Determinants Among Undergraduate Students

PURPOSE

To pilot a novel approach investigating the interplay of social and institutional determinants influencing university undergraduate student sleep patterns.

DESIGN

A two-part, three-phase mixed-methods approach.

SETTING

A mid-size US university conducted in spring and fall 2020.

PARTICIPANTS

191 undergraduate students (69 first-years, 43 second-years, 48 third-years, 31 fourth-years).

METHOD

For Part A, participants texted their activities and emotions in real time, producing a data-rich, weeklong diary of comprehensive activity logs, emoticons, multimedia submissions, and juxtapositions of ideal vs real schedules. Semi-structured contextual interviews were also conducted. For Part B, a one-time survey examined Part A insights across all class years. These diverse datasets were triangulated using thematic, comparative, and content analyses through MAXQDA software and visual mapping methods.

RESULTS

Three preliminary themes were identified as encouraging an irregular sleep schedule: a prevailing academic ethos emphasizing busyness, time management challenges, and the rhythm of institutional schedules and deadlines. An overarching theme suggests that perceptions of peer sleep habits and academic prioritization above all else could be influential across factors.

CONCLUSION

This pilot study indicates that sleep regularity among undergraduates is potentially shaped by individual choices combined with broader institutional paradigms. While it is limited by its exploratory nature, timing, and small sample size, the results highlight the promise of this methodology for more extensive studies and suggest that future interventions should emphasize systemic changes that prioritize sleep.

Associations between disturbed sleep and attenuated psychotic experiences in people at clinical high risk for psychosis

BACKGROUND

Pre-diagnostic stages of psychotic illnesses, including 'clinical high risk' (CHR), are marked by sleep disturbances. These sleep disturbances appear to represent a key aspect in the etiology and maintenance of psychotic disorders. We aimed to examine the relationship between self-reported sleep dysfunction and attenuated psychotic symptoms (APS) on a day-to-day basis.

METHODS

Seventy-six CHR young people completed the Experience Sampling Methodology (ESM) component of the European Union Gene-Environment Interaction Study, collected through PsyMate® devices, prompting sleep and symptom questionnaires 10 times daily for 6 days. Bayesian multilevel mixed linear regression analyses were performed on time-variant ESM data using the brms package in R. We investigated the day-to-day associations between sleep and psychotic experiences bidirectionally on an item level. Sleep items included sleep onset latency, fragmentation, and quality. Psychosis items assessed a range of perceptual, cognitive, and bizarre thought content common in the CHR population.

RESULTS

Two of the seven psychosis variables were unidirectionally predicted by previous night's number of awakenings: every unit increase in number of nightly awakenings predicted a 0.27 and 0.28 unit increase in feeling unreal or paranoid the next day, respectively. No other sleep variables credibly predicted next-day psychotic symptoms or vice-versa.

CONCLUSION

In this study, the relationship between sleep disturbance and APS appears specific to the item in question. However, some APS, including perceptual disturbances, had low levels of endorsement amongst this sample. Nonetheless, these results provide evidence for a unidirectional relationship between sleep and some APS in this population.

Acceptability and utility of digital well-being and mental health support for university students: A pilot study

AIM

To assess the acceptability and explore the utility of a novel digital platform designed as a student-facing well-being and mental health support.

METHODS

An adapted version of i-spero® was piloted as a student-facing well-being support and as part of routine university-based mental health care. In both pathways, student participants completed baseline demographics and brief validated measures of well-being and mental health. Weekly measures of anxiety (GAD-7) and depression (PHQ-9) and a Week 8 Experience Survey were also scheduled. Integrated mixed methods analysis was used to assess acceptability and explore the utility of these platforms.

RESULTS

Students in the well-being (n = 120) and care pathways (n = 121) were mostly female and between 19 and 22 years of age. Baseline screen positive rates for anxiety and depression were high in both the well-being (68%) and care pathways (80%). There was a substantial drop in adherence over Week 1 (50% well-being; 40% care) followed by minor attrition up to Week 8. Anxiety and depressive symptom levels improved from baseline in students who dropped out after Week 1 (p ≤ .06). The student experience was that i-spero® improved their emotional self-awareness, understanding of progress in care, and knowledge about when to seek help. Most students agreed (>75%) that i-spero® should form part of regular university student wellness support.

CONCLUSIONS

Digital well-being and mental health support seems acceptable to university students; however, engagement and persistence are areas for further development. Such digital tools could make a positive contribution to an evidence-based stepped approach to student well-being and mental health support.

Effectiveness of a Biofeedback Intervention Targeting Mental and Physical Health Among College Students Through Speech and Physiology as Biomarkers Using Machine Learning: A Randomized Controlled Trial

Biofeedback therapy is mainly based on the analysis of physiological features to improve an individual's affective state. There are insufficient objective indicators to assess symptom improvement after biofeedback. In addition to psychological and physiological features, speech features can precisely convey information about emotions. The use of speech features can improve the objectivity of psychiatric assessments. Therefore, biofeedback based on subjective symptom scales, objective speech, and physiological features to evaluate efficacy provides a new approach for early screening and treatment of emotional problems in college students. A 4-week, randomized, controlled, parallel biofeedback therapy study was conducted with college students with symptoms of anxiety or depression. Speech samples, physiological samples, and clinical symptoms were collected at baseline and at the end of treatment, and the extracted speech features and physiological features were used for between-group comparisons and correlation analyses between the biofeedback and wait-list groups. Based on the speech features with differences between the biofeedback intervention and wait-list groups, an artificial neural network was used to predict the therapeutic effect and response after biofeedback therapy. Through biofeedback therapy, improvements in depression (p = 0.001), anxiety (p = 0.001), insomnia (p = 0.013), and stress (p = 0.004) severity were observed in college-going students (n = 52). The speech and physiological features in the biofeedback group also changed significantly compared to the waitlist group (n = 52) and were related to the change in symptoms. The energy parameters and Mel-Frequency Cepstral Coefficients (MFCC) of speech features can predict whether biofeedback intervention effectively improves anxiety and insomnia symptoms and treatment response. The accuracy of the classification model built using the artificial neural network (ANN) for treatment response and non-response was approximately 60%. The results of this study provide valuable information about biofeedback in improving the mental health of college-going students. The study identified speech features, such as the energy parameters, and MFCC as more accurate and objective indicators for tracking biofeedback therapy response and predicting efficacy. Trial Registration ClinicalTrials.gov ChiCTR2100045542.

Insomnia moderates the association between psychotic-like experiences and suicidal ideation in a non-clinical population: a network analysis

Psychotic-like experiences (PLEs) have been associated with poor sleep quality and increased suicide risk. However, the association between PLEs, insomnia and suicide risk has not been thoroughly investigated in prior studies. In this study, we aimed to explore as to whether insomnia moderates the association between PLEs and suicidal ideation. The study was performed in 4203 young adults (aged 18-35 years, 63.8% females). Data were collected using self-reports. Moderation analysis demonstrated that PLEs are associated with higher levels of the current suicidal ideation only in participants with greater severity of insomnia (B = 0.003, p < 0.001). This analysis included age, gender, education, occupation and depressive symptoms as covariates. Moreover, the network analysis demonstrated that nodes representing PLEs are connected to the node of current suicidal ideation only in participants with greater severity of insomnia. The nodes of PLEs connected to the current suicidal ideation node captured PLEs representing deja vu experiences, auditory hallucination-like experiences and paranoia (edge weights between 0.011 and 0.083). Furthermore, nodes representing PLEs were the three most central nodes in the network analysis of individuals with higher levels of insomnia (strength centrality between 0.96 and 1.10). In turn, the three most central nodes were represented by depressive symptoms in the network analysis of individuals with lower levels of insomnia (strength centrality between 0.67 and 0.79). Findings from this study indicate that insomnia might be an important risk factor of suicide in people with PLEs, especially those reporting deja vu experiences, auditory hallucination-like experiences and paranoia.

Sleep duration and mental health in young adults

BACKGROUND

The association between sleep duration and mental illness has been established in middle-aged and older populations, yet remains less explored in younger adults. Additionally, a common limitation to existing studies is the lack of statistical power to explore less common disorders. The purpose of this study was to examine sleep duration as a predictor for a range of mental disorders and well-being in a longitudinal sample of young adults.

METHODS

Data were derived from two waves (w1, w2) of the SHoT survey, which invited all full-time university and college students in Norway. The response rates were 34.4 % (n = 62,498) in 2021 (w1) and 35.1 % (n = 59,554) 2022 (w2). This study utilized a nested longitudinal sample from both w1 and w2, encompassing 21,289 students. Demographics, sleep duration (w1), and mental health (w2) were measured by self-report questionnaires. Sex-stratified linear regression models and log-link binomial regression analyses were employed to determine the proportion and calculate the risk ratios, respectively, for mental illness across different sleep duration categories.

RESULTS

The mean age of the sample was 24.8 years ± 4.5 years (w1). Students with shorter sleep durations, and to some degree longer sleep durations (illustrating a ᒐ-shaped association), exhibited a higher risk for all assessed mental disorders and well-being outcomes one year later, compared to students sleeping 8-9 h. The ᒐ-shaped trend was consistent for both female and male students.

CONCLUSION

Sleep duration appears to be a transdiagnostic marker for mental health in young adults.

Caffeine intake and its association with nutrition, sleep, and physical activity among schoolchildren in the United Arab Emirates: a national cross-sectional study

PURPOSE

Recent surveys indicate a significant increase in total caffeine intake among schoolchildren. Limited research has been published concerning the total intake of caffeine among schoolchildren in the Middle East and Gulf Cooperation Council (GCC) countries, including the UAE.

METHODS

This cross-sectional survey estimated the total caffeine intake from foods and beverages among 10,275 schoolchildren in the UAE. Caffeine intakes were related to the European Food Safety Authority's level of no safety concern (3.0 mg/kg BW) and level of effects on sleep (1.4 mg/kg BW).

RESULTS

More than half (56.2%) of the students consumed more than 100 mg (the upper limit allowed) of caffeine from dietary sources. High intake of caffeine (> 100 mg/day) was significantly associated (p = 0.001) with reduced sleep duration, difficulty falling asleep, infrequent exercising, using smart devices for more than 2 h a day, getting a lower GPA, skipping breakfast, eating fewer servings of vegetables than recommended, frequent consumption of fast food and more frequent snack consumption.

CONCLUSION

Excessive intake of caffeine from different dietary sources coexists with unhealthy dietary and lifestyle behaviors and sleep problems. Tailoring educational programs and intervention strategies is warranted to correct the unhealthy intake of caffeine and the associated unhealthy dietary and lifestyle behaviors among schoolchildren in the UAE.

Changes in electroencephalography microstates are associated with reduced levels of vigilance after sleep deprivation

Total sleep deprivation (TSD) negatively affects cognitive functions, especially vigilance attention, but studies on vigilance changes in terms of electroencephalography (EEG) microstates after TSD are limited. This study investigates the impact of TSD on vigilance attention, EEG microstates and its relationship. Thirty healthy adult males completed a psychomotor vigilance task (PVT) before, 24 h after, and 36 h after TSD while their EEG was recorded during rest. Microstate analysis revealed significant changes in the occurrence and contribution of microstate class B after TSD. Moreover, changes in the probability of transitioning between microstate classes A and D were observed, correlating with decreased vigilance. Specifically, a positive correlation was found between transitioning from class B to class C and vigilance, while a trend of negative correlation was observed between transitioning between classes A and D and vigilance. These findings indicate abnormal activity in the salience network and dorsal attention network following sleep deprivation. TSD impairs vigilance attention, as demonstrated by the effects on EEG microstate class B and the transitions between classes A and D. The study suggests its potential as an early warning indicator for predicting vigilance attention after sleep deprivation.

Sleep duration and perceptions of sleep quality in British Army recruits during basic training - an observational analysis

Introduction

Sleep is critical to the health, wellbeing and performance of military personnel during basic training. This two-part study evaluated sleep-wake patterns and sleep disturbances in junior soldiers (JS) and infantry recruits in Autumn 2021 (study 1), and non-infantry recruits in spring 2022 (study 2).

Methods

During studies 1 and 2, validated wearable technology combined with a sleep diary was used to quantify sleep-wake indices, sleep disturbances and perceptions of sleep quality. Sleep diary data was analysed descriptively. A series of repeated-measures ANOVAs examined differences in objective sleep-wake indices. Correlation analysis determined associations between time in bed (TIB) and total sleep time (TST).

Results

Significant (p < 0.05) differences in most sleep-wake indices were observed between weeks of basic training for all cohorts. Strong positive correlations between TIB and TST were observed for each cohort across basic training (r = 0.681 - 0.970, p < 0.001), with longer TST associated with greater TIB. The mean±SD sleep duration (hours and mins [hm]) for JS (06:22 ± 00:27hm), non-infantry (05:41 ± 00:47hm) and infantry (05:46 ± 00:34hm) recruits across basic training was consistently below national recommendations. The mean±SD bed and wake times for JS (bedtime: 23:01 ± 00:32hm; awake: 05:34 ± 00:10hm), non-infantry (bedtime: 23:38 ± 01:09hm; awake: 04:47 ± 00:58hm), and infantry (bedtime: 23:13 ± 00:29hm; awake: 05:38 ± 00:26hm) recruits varied across weeks of basic training, with over 80% reporting "fairly bad" or "very bad" sleep quality and frequent periods of "dozing off" during daytime activity. The most commonly reported sleep disturbing factors identified during basic training involved: late-night military admin (e.g., ironing, boot cleaning, kit set up etc), early morning wake times, extraneous noise, light and hot room temperatures within the primary sleeping environment, bed/mattress discomfort, muscle soreness and feelings of stress and anxiety.

Discussion/Conclusion

Our findings contribute to the existing evidence that long-term sleep loss is pervasive during initial military training programmes. The average sleep durations indicate chronic and unrecoverable sleep loss which would be expected to significantly impair physical and cognitive military performance, and increase the risk of injury, illness and attrition rates during basic training. Changes in the design and scheduling of basic training programmes to enable, at the least, minimum sleep recommendations to be met, and to improve sleep hygiene in the primary sleeping environment are warranted.

Feasibility of a breath robot intervention to reduce sleep problems in posttraumatic stress disorder: protocol for a randomized controlled study

BACKGROUND

Many patients with posttraumatic stress disorder (PTSD) suffer from sleep problems. Robot-based interventions might be an innovative approach to reduce sleep problems and hyperarousal in PTSD. However, the feasibility and effectiveness of a breath robot in patients with PTSD have never been empirically tested. The aim of this study is to investigate the feasibility of a breath robot to reduce sleep problems and hyperarousal in patients with PTSD.

METHODS

This randomized controlled feasibility study will include N = 30 adult patients with at least subsyndromal PTSD (PTSD Symptom Scale - Interview-5 (PSSI-5)) according to the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) and impaired sleep quality (Pittsburgh Sleep Quality Index (PSQI) > 5). Patients with organic sleep disorders or currently in psychotherapeutic treatment are excluded. Study participants are randomized to receive either a 4-week Somnox 2 robot intervention including simulation of human breath or a 4-week Somnox 2 robot intervention without human breath simulation. The primary outcome will be the proportion of randomized participants providing outcome data at post-treatment. We consider a proportion of > 50% to indicate feasibility. Additional feasibility outcomes include eligibility rate, recruitment speed, uptake, retention, treatment adherence, and dropout. Potential outcomes of effectiveness (sleep quality, PSQI; severity of PTSD symptoms, PSSI-5) will be assessed at two time points, before (T0) and after (T1) the intervention. Sleep characteristics (Consensus Sleep Diary (CSD)) are measured daily.

DISCUSSION

This study is the first to investigate the feasibility of a novel breath robot intervention for reducing sleep problems and hyperarousal in PTSD patients, with effectiveness considered as a secondary outcome. If feasible and effective, the use of a breath robot could be a nonintrusive and flexible intervention to supplement psychotherapy or to bridge treatment gaps.

TRIAL REGISTRATION

DRKS, DRKS00031063. Registered on 10/012023.

Treating insomnia in people who are incarcerated: a feasibility study of a multicomponent treatment pathway

Around 60% of people who are incarcerated have insomnia; 6-10 times more prevalent than the general population. Yet, there is no standardized, evidence-based approach to insomnia treatment in prison. We assessed the feasibility of a treatment pathway for insomnia in a high-secure prison to inform a future randomized controlled trial (RCT) and initial efficacy data for sleep and mental health outcomes. We used a within-participants pre-post design. The stepped-care pathway included: self-management with peer support, environmental aids, and cognitive behavioral therapy for insomnia (CBTi). Assessment measures for insomnia, well-being, mood, anxiety, suicidality, overall health, sleepiness, fatigue, and cognitive functioning were administered at baseline and pathway exit. Feasibility criteria included eligibility to participate, CBTi uptake, and assessment completion. Forty-two adult males who are incarcerated were approached of which 95.2% were eligible. Of those deemed eligible, most participated (36/40, 90.0%). Most who completed baseline completed post-assessments (28/36, 77.8%) and of these, most showed improvements in their subjective sleep (27/28, 96.4%). Large reductions were found from pre- to posttreatment in insomnia severity (d = -1.81, 95% CI: 8.3 to 12.9) and 57.0% reported no clinically significant insomnia symptoms at post-assessment. There was no overall change in actigraphy-measured sleep. Large treatment benefits were found for depression, anxiety, well-being, and cognitive functioning, with a medium benefit on suicidal ideation. The treatment pathway for insomnia in prison was feasible and may be an effective treatment for insomnia in people who are incarcerated, with additional promising benefits for mental health. A pragmatic RCT across different prison populations is warranted. This paper is part of the Sleep and Circadian Health in the Justice System Collection.

Do psychotic experiences act as effect modifiers in youths with common mental health problems allocated to transdiagnostic cognitive behavioural therapy versus management as usual? Secondary analyses of the Mind-My-Mind randomized trial

BACKGROUND

Psychotic experiences (PEs) are common in help-seeking youths with non-psychotic mental health problems, yet the clinical importance of PEs as potential effect modifiers of psychotherapy interventions has been scarcely examined. We examined if PEs were associated with a differential response to transdiagnostic cognitive behavioural therapy (CBT) aimed at common emotional and behavioural problems.

METHODS

We present secondary analyses from the Mind My Mind (MMM) trial that randomized 396, 6-16-year-old youths to either 9-13 sessions of transdiagnostic modular community-based CBT (MMM) or community-based management as usual (MAU). MMM was superior to MAU in reducing parent-reported impact of mental health problems according to the Strengths and Difficulties Questionnaire (SDQ). PEs were assessed by semi-structured screening interviews at baseline. The contrast between subgroups (presence/absence of PEs) was calculated to test if PEs are potential effect modifiers regarding the change in parent-reported SDQ-impact (primary outcome, rated 0[low]-10[high]) and other SDQ-related outcomes.

RESULTS

Baseline PEs were present in 74 (19%) of youths. The superior effect of MMM on changes in SDQ-impact from baseline to week 18 was not effect modified by the presence of PEs (PEs[yes] -0.89 [95%CI -1.77;-0.01] vs. PEs[no] -1.10 [95%CI -1.52;-0.68], p-value for interaction .68). For secondary outcomes similar patterns were observed. Limitations Statistical power was limited to show if PEs modified treatment response. Replication and meta-analytic evidence are needed.

CONCLUSIONS

The beneficial effects of MMM transdiagnostic CBT did not differ by PE-status, indicating that youths with emotional and behavioural problems could be offered such psychotherapy irrespective of co-occurring PEs.

Usability of an eHealth sleep education intervention for university students

Background

It has been estimated that more than one-third of university students suffer from insomnia. Few accessible eHealth sleep education programmes exist for university students and of the ones that do exist, fewer were developed using a user-centred approach, which allows for student input to be systematically collected and utilized to provide students with a programme that they consider to be easy to use and implement and to be effective. Better Nights, Better Days-Youth (BNBD-Youth) is a four-session eHealth sleep education programme designed for youth but previously only evaluated in younger adolescents (ages 14-18 years).

Aims

The purpose of this study is to evaluate the usability of the BNBD-Youth programme with university students using Morville's User Experience Honeycomb framework to determine if this programme would meet the needs of university students and if so what modifications would be needed.

Methods

Canadian undergraduate students (n = 46) completed the BNBD-Youth programme. Students completed online usability questionnaires based on the seven dimensions of Morville's User Experience Honeycomb (i.e. useful, usable, valuable, credible, desirable, accessible and findable) after each session and after completion of the programme. Open- and closed-ended questions were used to obtain both quantitative and qualitative responses.

Results

Average quantitative ratings were positive across user experience dimensions, ranging from 3.43 to 4.46 (out of 5). Qualitative responses indicated overall positive experiences with the programme. The only constructive feedback that met the criteria for revising the programme was to include more interactive features in Session 4.

Conclusions

This study demonstrates that university students found BNBD-Youth to be a usable programme for older youth. Demonstrating usability is an essential step in developing a programme with a user-centred design that university students will want to use in the future. Once the BNBD-Youth programme is revised to create the BNBD-University (BNBD-Uni) programme, additional usability and effectiveness testing will be conducted.

Sex and Sleep Disruption as Contributing Factors in Alzheimer's Disease

Alzheimer's disease (AD) affects more women than men, with women throughout the menopausal transition potentially being the most under researched and at-risk group. Sleep disruptions, which are an established risk factor for AD, increase in prevalence with normal aging and are exacerbated in women during menopause. Sex differences showing more disrupted sleep patterns and increased AD pathology in women and female animal models have been established in literature, with much emphasis placed on loss of circulating gonadal hormones with age. Interestingly, increases in gonadotropins such as follicle stimulating hormone are emerging to be a major contributor to AD pathogenesis and may also play a role in sleep disruption, perhaps in combination with other lesser studied hormones. Several sleep influencing regions of the brain appear to be affected early in AD progression and some may exhibit sexual dimorphisms that may contribute to increased sleep disruptions in women with age. Additionally, some of the most common sleep disorders, as well as multiple health conditions that impair sleep quality, are more prevalent and more severe in women. These conditions are often comorbid with AD and have bi-directional relationships that contribute synergistically to cognitive decline and neuropathology. The association during aging of increased sleep disruption and sleep disorders, dramatic hormonal changes during and after menopause, and increased AD pathology may be interacting and contributing factors that lead to the increased number of women living with AD.

The Sleepio After Cancer (SAC) study. Digital cognitive behavioural therapy for insomnia (dCBT-I) in women cancer patients - Trial protocol of a randomised controlled trial

AIMS

This study will assess the efficacy of digital CBT for insomnia (dCBT-I) compared to sleep hygiene education (SHE) for the management of insomnia in women with cancer.

BACKGROUND

30% of patients with cancer meet insomnia diagnostic criteria and this can be detrimental to health outcomes. Insomnia disorder comprises a dissatisfaction with sleep quantity or quality characterized by difficulty initiating sleep, frequent awakenings, or early morning wakening without the ability to return to sleep, at least 3 nights per week, for at least 3 months, causing significant impairment or distress in areas of functioning.

METHODS

We will recruit 308 women with a current or prior cancer diagnosis who are currently experiencing insomnia; defined as a score of 16 or less on the Sleep Condition Indicator (SCI). Participants will be randomised to dCBT-I or SHE. dCBT-I will be delivered online via 6 sessions. SHE will be provided in an online format. Assessments of sleep and other related parameters, through validated questionnaires, will be taken at 12 and 24 weeks following intervention. Once 24 week assessments are completed, participants will crossover to the alternate arm (either SHE or dCBT-I) and undergo a final assessment at week 36.

OUTCOMES

The primary outcome will be the mean continuous change in SCI score in the intervention arm compared to the control arm at 24 weeks. Additionally, the proportion of women with an SCI > 16 at 24 weeks will be assessed. Secondary outcomes include fatigue, sleep related quality of life, depression, anxiety, and hot flush interference.

REGISTRATION

This study is registered on ClinicalTrials.gov with number NCT05816460.

Prevalence and associations of poor mental health in the third year of COVID-19: U.S. population-based analysis from 2020 to 2022

BACKGROUND

Poorer mental health was found early in the COVID-19 pandemic, yet mental health in the third year of COVID-19 has not been assessed on a general adult population level in the United States.

METHODS

We used a nationally representative cross-sectional survey (Health Information National Trends Survey, HINTS 5 2020 n = 3,865 and HINTS 6 2022 n = 6,252). The prevalence of poor mental health was examined using a Patient Health Questionnaire-4 scale in 2020 and 2022. We also investigated the factors associated with poor mental health in 2022 using a weighted multivariable logistic regression adjusting for sociodemographic and health status characteristics to obtain the odds ratio (OR).

OUTCOMES

The prevalence of poor mental health in adults increased from 2020 to 2022 (31.5% vs 36.3 %, p = 0.0005). U.S. adults in 2022 were 1.28 times as likely to have poor mental health than early in the pandemic. Moreover, individuals with food insecurity, housing instability, and low income had greater odds of poor mental health (ORs=1.78-2.55). Adults who were females, non-Hispanic Whites, or age 18-64 years were more likely to have poor mental health (ORs=1.46-4.15).

INTERPRETATION

Mental health of U.S. adults worsened in the third year of COVID-19 compared to the beginning of the pandemic.

The relationship between alexithymia, emotion regulation, and sleep problems in school-aged children: A multicentric study

OBJECTIVES

Alexithymia, mood dysregulation, and sleep quality have complicated effects on children's development. The current study aimed to investigate the relationship between alexithymia, emotion regulation, psychiatric problems, and sleep problems among Egyptian school-aged children.

METHODS

A total of 564 Egyptian children, aged 6 to 14, were divided into two groups based on their total Children's Sleep Habits Questionnaire abbreviated score: group 1 (N = 300) with sleep problems and group 2 (N = 264) with non-sleep problems. Their parents completed the Strengths and Difficulties Questionnaire (SDQ) and subjectively assessed the children's emotions using the Children's Alexithymia Measure (CAM) and the Clinical Evaluation of Emotional Regulation-9 (CEER-9).

RESULTS

Males were more proportional in the sleep problems group than others. The sleep problem group was significantly younger and had a longer daily sleep duration than the non-sleep problem group. Alexithymia and emotion dysregulation had the highest mean in the sleep problem group. Furthermore, alexithymia, emotion dysregulation, emotion difficulty, conduct, and prosocial problems were the most significant contributing factors and risk factors for sleep problems in children.

CONCLUSION

Sleep problems in children were associated with younger male children with lengthy daily sleep duration and emotional, behavioural, and prosocial difficulties. Furthermore, alexithymia and emotion dysregulation are significant contributors and risk factors for sleep problems in school-aged children.

The European Insomnia Guideline: An update on the diagnosis and treatment of insomnia 2023

Progress in the field of insomnia since 2017 necessitated this update of the European Insomnia Guideline. Recommendations for the diagnostic procedure for insomnia and its comorbidities are: clinical interview (encompassing sleep and medical history); the use of sleep questionnaires and diaries (and physical examination and additional measures where indicated) (A). Actigraphy is not recommended for the routine evaluation of insomnia (C), but may be useful for differential-diagnostic purposes (A). Polysomnography should be used to evaluate other sleep disorders if suspected (i.e. periodic limb movement disorder, sleep-related breathing disorders, etc.), treatment-resistant insomnia (A) and for other indications (B). Cognitive-behavioural therapy for insomnia is recommended as the first-line treatment for chronic insomnia in adults of any age (including patients with comorbidities), either applied in-person or digitally (A). When cognitive-behavioural therapy for insomnia is not sufficiently effective, a pharmacological intervention can be offered (A). Benzodiazepines (A), benzodiazepine receptor agonists (A), daridorexant (A) and low-dose sedating antidepressants (B) can be used for the short-term treatment of insomnia (≤ 4 weeks). Longer-term treatment with these substances may be initiated in some cases, considering advantages and disadvantages (B). Orexin receptor antagonists can be used for periods of up to 3 months or longer in some cases (A). Prolonged-release melatonin can be used for up to 3 months in patients ≥ 55 years (B). Antihistaminergic drugs, antipsychotics, fast-release melatonin, ramelteon and phytotherapeutics are not recommended for insomnia treatment (A). Light therapy and exercise interventions may be useful as adjunct therapies to cognitive-behavioural therapy for insomnia (B).

Sexual abuse and psychotic phenomena: a directed acyclic graph analysis of affective symptoms using English national psychiatric survey data

BACKGROUND

Sexual abuse and bullying are associated with poor mental health in adulthood. We previously established a clear relationship between bullying and symptoms of psychosis. Similarly, we would expect sexual abuse to be linked to the emergence of psychotic symptoms, through effects on negative affect.

METHOD

We analysed English data from the Adult Psychiatric Morbidity Surveys, carried out in 2007 (N = 5954) and 2014 (N = 5946), based on representative national samples living in private households. We used probabilistic graphical models represented by directed acyclic graphs (DAGs). We obtained measures of persecutory ideation and auditory hallucinosis from the Psychosis Screening Questionnaire, and identified affective symptoms using the Clinical Interview Schedule. We included cannabis consumption and sex as they may determine the relationship between symptoms. We constrained incoming edges to sexual abuse and bullying to respect temporality.

RESULTS

In the DAG analyses, contrary to our expectations, paranoia appeared early in the cascade of relationships, close to the abuse variables, and generally lying upstream of affective symptoms. Paranoia was consistently directly antecedent to hallucinations, but also indirectly so, via non-psychotic symptoms. Hallucinosis was also the endpoint of pathways involving non-psychotic symptoms.

CONCLUSIONS

Via worry, sexual abuse and bullying appear to drive a range of affective symptoms, and in some people, these may encourage the emergence of hallucinations. The link between adverse experiences and paranoia is much more direct. These findings have implications for managing distressing outcomes. In particular, worry may be a salient target for intervention in psychosis.

Predictors of paranoia in the daily lives of people with non-affective psychosis and non-clinical controls: A systematic review of intensive longitudinal studies

BACKGROUND AND OBJECTIVES

Worrying, self-esteem, sleep problems, anomalous internal experiences, reasoning biases, and interpersonal sensitivity are associated with paranoia. However, no review has examined whether these variables function as predictors of paranoia in everyday life. The present systematic review of intensive longitudinal studies (e.g., experience sampling) examined contemporaneous and time-lagged associations between paranoia and each candidate mechanism in individuals with non-affective psychosis and controls (pre-registration: https://osf.io/uwr9d).

METHODS

We searched electronic databases, PsyArXiv, and reference lists for studies published since 1994.

RESULTS

Of n = 5,918 results, n = 54 fulfilled inclusion criteria (n = 43 datasets). Most studies examined individuals with non-affective psychosis (n = 34). Strong evidence emerged for negative affect (subsumed under 'anomalous internal experiences') and sleep problems. For self-esteem, results suggest contemporaneous and lagged effects on paranoia but associations are likely driven by between-person variance. The low number of studies (n = 2 studies each) allowed no conclusions regarding worrying and reasoning biases. Findings on interpersonal sensitivity, which should be interpreted with caution because of the predictor's conceptual overlap with paranoia, indicate contemporaneous effects whereas time-lagged and within-person associations could not be judged due to insufficient data.

LIMITATIONS

The present review used a narrative data-synthetization and it did not cover outcomes such as hallucinations.

CONCLUSIONS

Despite convincing evidence for affect and sleep problems, it remains unclear whether affective states are precursors or also consequences of paranoia (vicious circle), and which of the actigraphy measures (sleep time, -efficiency, -fragmentation, etc.) best predicts paranoia.

The Relationship of Early Sleep Improvement With Response to Pharmacotherapy in Unipolar Psychotic Depression

BACKGROUND

Since insomnia and depression are interrelated, improved sleep early in antidepressant pharmacotherapy may predict a positive treatment outcome. We investigated whether early insomnia improvement (EII) predicted treatment outcome in psychotic depression (PD) and examined if there was an interaction effect between EII and treatment type to assess if findings were treatment-specific.

METHODS

This study is a secondary analysis of a randomized trial comparing 7 weeks treatment with the antidepressants venlafaxine, imipramine and venlafaxine plus the antipsychotic quetiapine in PD ( n = 114). Early insomnia improvement, defined as ≥20% reduced insomnia after 2 weeks, was assessed by the Hamilton Rating Scale for Depression (HAM-D-17). Associations between EII and treatment outcome were examined using logistic regressions. Subsequently, we added interaction terms between EII and treatment type to assess interaction effects. The predictive value of EII was compared with early response on overall depression (≥20% reduced HAM-D-17 score after 2 weeks).

RESULTS

EII was associated with response (odds ratio [OR], 7.9; 95% confidence interval [CI], 2.7-23.4; P = <0.001), remission of depression (OR, 6.1; 95% CI, 1.6-22.3; P = 0.009), and remission of psychosis (OR, 4.1; 95% CI, 1.6-10.9; P = 0.004). We found no interaction effects between EII and treatment type on depression outcome. Early insomnia improvement and early response on overall depression had a comparable predictive ability for treatment outcome.

CONCLUSIONS

Early insomnia improvement was associated with a positive outcome in pharmacotherapy of PD, regardless of the medication type. Future studies are needed to confirm our findings and to examine the generalizability of EII as predictor in treatment of depression.

The efficacy of digital cognitive behavioral therapy for insomnia and depression: a systematic review and meta-analysis of randomized controlled trials

Background

Insomnia and depression often co-occur. Cognitive behavioral therapy for insomnia (CBT-I) seems to be effective and safe for mitigating insomnia and depression. However, the efficacy of digitally-delivered CBT-I (dCBT-I) remains unclear. Therefore, this meta-analysis of randomized controlled trials (RCTs) was to systematically review and evaluate the efficacy of dCBT-I in adults with insomnia and depression.

Methods

A systematic search in PubMed, Cochrane, Embase, and Web of Science databases (as of June 5, 2022) was conducted for RCTs on dCBT-I. Statistical analyses were performed using Revan Manager. The effects of dCBT-I on insomnia and depression were expressed as standardized mean difference (SMD) with 95% confidence intervals (CIs).

Results

Seven studies involving 3,597 participants were included. This meta-analysis showed that dCBT-I reduced the severity of insomnia (SMD = -0.85, 95% CI [-1.00 to -0.69], p < 0.001) and depression (SMD = -0.47, 95% CI [-0.55 to -0.38], p < 0.001) in short terms, and also mitigated the severity of insomnia (SMD = -0.71, 95% CI [-1.00 to -0.44], p < 0.001) and depression (SMD = -0.42, 95% CI [-0.68 to -0.15], p = 0.002) in long terms. The effect of dCBT-I was comparable to that of traditional face-to-face CBT-I, and was generally maintained at follow-ups of 6 weeks to 6 months.

Conclusion

dCBT-I seems to be effective in alleviating insomnia and depression and might be considered as a viable treatment option for depression.

Prevalence and Determinants of Fatigue in Patients with IBD: A Cross-Sectional Survey from the GETAID

BACKGROUND

Fatigue is commonly reported by patients with inflammatory bowel disease [IBD], but the determinants of IBD-related fatigue have yet to be determined.

AIMS

To identify the factors associated with fatigue in a large population of patients with IBD.

PATIENTS AND METHODS

Fatigue and nine other IBD-related disability dimensions were assessed in a cohort of 1704 consecutive patients with IBD using the IBD-disk questionnaire in a cross-sectional survey of 42 French and Belgian centres. Fatigue and severe fatigue were defined as energy subscores >5 and >7, respectively. Determinants of fatigue were assessed using univariate and multivariate analyses (odds ratios [ORs] are provided with 95% confidence intervals).

RESULTS

The prevalence rates of fatigue and severe fatigue were 54.1% and 37.1%, respectively. Both fatigue and severe fatigue were significantly higher in patients with active disease than in patients with inactive disease [64.9% vs 44.7% and 47.4% vs 28.6%, respectively; p < 0.001 for both comparisons]. In the multivariate analysis stratified by age, sex, type of IBD and IBD activity, fatigue was associated with age >40 years (OR = 0.71 [0.54-0.93]), female sex (OR = 1.48 [1.13-1.93]) and IBD-related sick leave (OR = 1.61 [1.19-2.16]), and joint pain (OR = 1.60 [1.17-2.18]), abdominal pain (OR = 1.78 [1.29-2.45]), regulating defecation (OR = 1.67 [1.20-2.32]), education and work (OR = 1.96 [1.40-2.75]), body image (OR = 1.38 [1.02-1.86]), sleep (OR = 3.60 [2.66-4.88]) and emotions (OR = 3.60 [2.66-4.88]) subscores >5.

CONCLUSION

Determinants of fatigue are not restricted to IBD-related factors but also include social factors, sleep and emotional disturbances, thus supporting a holistic approach to IBD patient care.

Does treating insomnia with digital cognitive behavioural therapy (Sleepio) mediate improvements in anxiety for those with insomnia and comorbid anxiety? An analysis using individual participant data from two large randomised controlled trials

BACKGROUND

Considerable comorbidity exists between insomnia and anxiety, and evidence shows that the benefits of CBT for insomnia extend to anxiety. Using data from two large trials of digital CBT (dCBT) for insomnia, we evaluated whether improving sleep is an effective treatment target to reduce both insomnia and anxiety symptoms in individuals with insomnia and clinically significant anxiety.

METHODS

This was a controlled sub-analysis combining individual participant data from two previous randomised controlled trials of dCBT for insomnia (Sleepio). Participants (N = 2172) with insomnia disorder and clinically significant anxiety symptoms were included in this sub-analysis and received either dCBT or control (usual care or sleep hygiene education). Assessments were evaluated at baseline, post-intervention (week 8 or 10), and follow-up (week 22 or 24). Mediation was evaluated using structural equation models.

RESULTS

dCBT for insomnia was superior to control at reducing both insomnia (Hedges' g range = 0.77-0.81; both p < 0.001) and anxiety symptoms (Hedges' g range = 0.39-0.44; both p < 0.001) at all time points. Baseline insomnia symptoms moderated the effects of dCBT on insomnia, however no variables moderated treatment effects on anxiety. Reductions in anxiety symptoms at follow-up were mediated by improvements in sleep at post-intervention (% mediated = 84 %), suggesting a causal pathway.

LIMITATIONS

Participants did not have a formal anxiety disorder diagnosis and so the effects of dCBT for insomnia on anxiety may differ by anxiety disorder.

CONCLUSIONS

Addressing sleep using dCBT for insomnia may serve as a treatment target from which to improve anxiety in individuals with insomnia and clinically significant comorbid anxiety.

CLINICAL TRIAL REGISTRATIONS

Digital Insomnia therapy to Assist your Life as well as your Sleep (DIALS) - ISRCTN60530898 http://www.isrctn.com/ISRCTN60530898. Oxford Access for Students Improving Sleep (OASIS) - ISRCTN61272251 http://www.isrctn.com/ISRCTN61272251.

App-Delivered Cognitive-Behavioral Therapy for Insomnia Among Patients with Comorbid Musculoskeletal Complaints and Insomnia Referred to 4-Week Inpatient Multimodal Rehabilitation: Protocol for a Randomized Clinical Trial

Background

Insomnia is prevalent among patients receiving treatment for long-term musculoskeletal complaints in inpatient rehabilitation settings. Cognitive-behavioral therapy for insomnia (CBT-I) is effective for improving sleep quality in patients with pain, but a lack of therapists often limits the capacity to use this therapy in rehabilitation programs. The aim of this randomized clinical trial (RCT) is to evaluate the effectiveness of app-delivered CBT-I adjunct to inpatient multimodal rehabilitation for individuals with comorbid musculoskeletal complaints and insomnia, compared with rehabilitation (usual care) only.

Methods

This RCT has two parallel arms: 1) inpatient multimodal rehabilitation and 2) app-delivered CBT-I adjunct to inpatient multimodal rehabilitation. Patients referred to Unicare Helsefort (Norway) with long-term chronic musculoskeletal complaints are invited to the study. Eligible and consenting participants will be randomized to the intervention and usual care at a ratio of 2:1. Assessments will be carried out at baseline (prior to randomization), 6 weeks (at the end of rehabilitation), 3 months (primary outcome), as well as 6 and 12 months after the rehabilitation. The primary outcome is insomnia severity measured at 3 months. Secondary outcomes include pain intensity, health-related quality of life, fatigue, physical function, work ability, expectations about sick leave length, sick leave, and prescribed medication. Exploratory analyses are planned to identify moderators and mediators of the effect of the app-delivered intervention.

Discussion

This RCT will provide novel knowledge about the effectiveness of app-delivered CBT-I as an adjunct to usual care among patients participating in inpatient multimodal pain rehabilitation. Regardless of the results from this trial, the results will improve our understanding of the utility of dCBT-I in the field of rehabilitation and the importance of adding sleep therapy to this patient group.

Trial Registration

This trial was prospectively registered in ClinicalTrials.gov October 10, 2022 (ClinicalTrials.gov identifier: NCT05572697).

Disseminating sleep education to graduate psychology programs online: a knowledge translation study to improve the management of insomnia

STUDY OBJECTIVES

Despite the negative impact of poor sleep on mental health, evidence-based insomnia management guidelines have not been translated into routine mental healthcare. Here, we evaluate a state-wide knowledge translation effort to disseminate sleep and insomnia education to graduate psychology programs online using the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) evaluation framework.

METHODS

Using a non-randomized waitlist control design, graduate psychology students attended a validated 6-hour online sleep education workshop delivered live as part of their graduate psychology program in Victoria, Australia. Sleep knowledge, attitudes, and practice assessments were conducted pre- and post-program, with long-term feedback collected at 12 months.

RESULTS

Seven out of ten graduate psychology programs adopted the workshop (adoption rate = 70%). The workshop reached 313 graduate students, with a research participation rate of 81%. The workshop was effective at improving students' sleep knowledge and self-efficacy to manage sleep disturbances using cognitive behavioral therapy for insomnia (CBT-I), compared to the waitlist control with medium-to-large effect sizes (all p < .001). Implementation feedback was positive, with 96% of students rating the workshop as very good-to-excellent. Twelve-month maintenance data demonstrated that 83% of students had used the sleep knowledge/skills learned in the workshop in their clinical practice. However, more practical training is required to achieve CBT-I competency.

CONCLUSIONS

Online sleep education workshops can be scaled to deliver cost-effective foundational sleep training to graduate psychology students. This workshop will accelerate the translation of insomnia management guidelines into psychology practice to improve sleep and mental health outcomes nationwide.

The Safety of Digital Mental Health Interventions: Systematic Review and Recommendations

BACKGROUND

Evidence suggests that digital mental health interventions (DMHIs) for common mental health conditions are effective. However, digital interventions, such as face-to-face therapies, pose risks to patients. A safe intervention is considered one in which the measured benefits outweigh the identified and mitigated risks.

OBJECTIVE

This study aims to review the literature to assess how DMHIs assess safety, what risks are reported, and how they are mitigated in both the research and postmarket phases and building on existing recommendations for assessing, reporting, and mitigating safety in the DMHI and standardizing practice.

METHODS

PsycINFO, Embase, and MEDLINE databases were searched for studies that addressed the safety of DMHIs. The inclusion criteria were any study that addressed the safety of a clinical DMHI, even if not as a main outcome, in an adult population, and in English. As the outcome data were mainly qualitative in nature, a meta-analysis was not possible, and qualitative analysis was used to collate the results. Quantitative results were synthesized in the form of tables and percentages. To illustrate the use of a single common safety metric across studies, we calculated odds ratios and CIs, wherever possible.

RESULTS

Overall, 23 studies were included in this review. Although many of the included studies assessed safety by actively collecting adverse event (AE) data, over one-third (8/23, 35%) did not assess or collect any safety data. The methods and frequency of safety data collection varied widely, and very few studies have performed formal statistical analyses. The main treatment-related reported AE was symptom deterioration. The main method used to mitigate risk was exclusion of high-risk groups. A secondary web-based search found that 6 DMHIs were available for users or patients to use (postmarket phase), all of which used indications and contraindications to mitigate risk, although there was no evidence of ongoing safety review.

CONCLUSIONS

The findings of this review show the need for a standardized classification of AEs, a standardized method for assessing AEs to statically analyze AE data, and evidence-based practices for mitigating risk in DMHIs, both in the research and postmarket phases. This review produced 7 specific, measurable, and achievable recommendations with the potential to have an immediate impact on the field, which were implemented across ongoing and future research. Improving the quality of DMHI safety data will allow meaningful assessment of the safety of DMHIs and confidence in whether the benefits of a new DMHI outweigh its risks.

TRIAL REGISTRATION

PROSPERO CRD42022333181; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=333181.

Examining the Impact of Assistive Technology on Psychological Health, Family Education, and Curriculum Research in Japan: Insights from Artificial Intelligence

This study aims to analyze the effect of psychological health based on artificial intelligence agent technology on the implementation effect of Japanese family education. By combining mobile agent technology and education thought, the system structure and working mechanism of the education support system of agents are studied to build personalized support for the family education system based on mobile agents. A total of 320 Japanese middle school students were randomly divided into an experimental group and a control group, with 160 cases in each group. The control group received traditional family health education, while the experimental group received mental health education based on the Agent Technology family education system. The basic information and mental health scores of the two groups of students were compared. The results showed that there were no remarkable differences in the number of male and female cases, weight, height, average age, grade, home address, or family situation between groups (p > 0.05). The psychological health level of the experimental group was considerably superior to that of the control group regarding obsessional symptoms, interpersonal tension and sensitivity, depression, anxiety, learning pressure, maladaptation, emotional imbalance, and psychological imbalance (p < 0.05). In summary, compared with traditional family education, family education of the mental health education system based on agent technology can better improve the level of middle school students' mental health, which can improve student forced symptoms, interpersonal tension and sensitivity, depression, anxiety, learning pressure, maladjustment, emotional imbalance, psychological imbalance, and many other psychological states. Furthermore, personalized support for family education systems based on mobile agents has the advantages of autonomy, responsiveness, initiative, and mobility, which provides a new idea for family education.