Journal of Sleep Research最新文献

{"title":"The Future of Parasomnias.","authors":"Claudia Picard-Deland, Matteo Cesari, Ambra Stefani, Jean-Baptiste Maranci, Birgit Hogl, Isabelle Arnulf","doi":"10.1111/jsr.70090","DOIUrl":"https://doi.org/10.1111/jsr.70090","url":null,"abstract":"<p><p>Parasomnias are abnormal behaviours or mental experiences during sleep or the sleep-wake transition. As disorders of arousal (DOA) or REM sleep behaviour disorder (RBD) can be difficult to capture in the sleep laboratory and may need to be diagnosed in large communities, new home diagnostic devices are being developed, including actigraphy, EEG headbands, as well as 2D infrared and 3D time of flight home cameras (often with automatic analysis). Traditional video-polysomnographic diagnostic criteria for RBD and DOA are becoming more accurate, and deep learning methods are beginning to accurately classify abnormal polysomnographic signals in these disorders. Big data from vast collections of clinical, cognitive, brain imaging, DNA and polysomnography data have provided new information on the factors that are associated with parasomnia and, in the case of RBD, may predict the individual risk of conversion to an overt neurodegenerative disease. Dream engineering, including targeted reactivation of memory during sleep, combined with image repetition therapy and lucid dreaming, is helping to alleviate nightmares in patients. On a political level, RBD has brought together specialists in abnormal movements and sleep neurologists, and research into nightmares and sleep-wake dissociations has brought together sleep and consciousness scientists.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70090"},"PeriodicalIF":3.4,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Future of Non-Invasive Brain Stimulation in Sleep Medicine.","authors":"Lukas B Krone, Seo Ho Song, Valeria Jaramillo, Ines R Violante","doi":"10.1111/jsr.70071","DOIUrl":"https://doi.org/10.1111/jsr.70071","url":null,"abstract":"<p><p>Non-invasive brain stimulation (NIBS) methods carry particular appeal as non-pharmacological approaches to inducing or improving sleep. However, intense research efforts to use transcranial magnetic stimulation (TMS) and electrical stimulation (tES) for sleep modulation have not yet delivered evidence-based NIBS treatments in sleep medicine. The main obstacles lie in insufficiently robust stimulation protocols that affect neurophysiological and self-reported sleep parameters, inadequately controlled-and explained-placebo effects, and heterogeneity in patient populations and outcome parameters. Recent technological advances, e.g., transcranial ultrasound stimulation (TUS) and temporal interference stimulation (TIS), make deep brain structures feasible targets. Real-time approaches, e.g., closed-loop auditory stimulation (CLAS), demonstrate efficacious modulation of different sleep oscillations by tuning stimulation to ongoing brain activity. The identification of sleep-regulatory regions and cell types in the cerebral cortex and thalamus provides new specific targets. To turn this neuroscientific progress into therapeutic advancement, conceptual reframing is warranted. Chronic insomnia may not be optimally suited to demonstrate NIBS efficacy due to the mismatch between self-reported symptoms and polysomnographic sleep parameters. More feasible initial approaches could be to (1) modulate specific sleep oscillations to promote specific sleep functions, (2) modify nightmares and traumatic memories with targeted memory reactivation, (3) increase 'wake intensity' in patients with depression to improve daytime fatigue and elevate sleep pressure and (4) disrupt pathological activity in sleep-dependent epilepsies. Effective treatments in these areas of sleep medicine seem in reach but require rigorously designed clinical trials to identify which NIBS strategies bring real benefit in sleep medicine.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70071"},"PeriodicalIF":3.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of the Sleep Centre in the Future of Sleep Medicine. How Should It Be Organised? Will There Still Be Sleep Inpatients in the Future?","authors":"Thomas Penzel, Matthew Salanitro, Ingo Fietze","doi":"10.1111/jsr.70092","DOIUrl":"https://doi.org/10.1111/jsr.70092","url":null,"abstract":"<p><p>Sleep medicine centres play a pivotal role in diagnosing, treating and researching sleep disorders, with structures that range from large, university-based institutions to smaller, community-led clinics. These centres operate at the intersection of clinical care and academic innovation, combining personalised diagnostics and therapy with the evaluation and integration of emerging technologies. As the demand for sleep-related healthcare continues to grow, sleep centres must evolve to accommodate both increasing patient loads and rapid technological advancements. Outpatient departments serve as critical entry points for patients, enabling structured assessments through consultations, questionnaires and objective tools such as actigraphy and home polygraphy. These are increasingly complemented by digital solutions, including telemedicine, automated sleep diaries and remote prescription management. Such tools improve accessibility, streamline workflows and enhance continuity of care. Despite technological progress, sleep laboratories remain indispensable for diagnosing complex disorders like sleep apnea and hypersomnias, where in-lab polysomnography and real-time therapy adjustments are essential. However, advances in portable and wearable devices are creating viable home-based alternatives for selected cases, contributing to reduced lab wait times and broader patient reach. Research and education are foundational to advancing the field. Ongoing updates to sleep medicine curricula, alongside rigorous clinical studies on novel diagnostics and AI tools, ensure that care remains evidence-based and future-ready. Sleep centres, as multidisciplinary hubs, will continue to merge clinical practice, innovation and training-shaping a future where sleep healthcare is more personalised, data-driven and accessible without compromising quality or equity. Together, these developments signal a transformative era in sleep medicine, where integrated, technology-enhanced care will redefine how we understand, diagnose and treat sleep disorders.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70092"},"PeriodicalIF":3.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical Activity as a Tool to Improve Sleep Quality for Secure Psychiatric Inpatients: A Feasibility Study.","authors":"Poppy May Gardiner, Florence Emilie Kinnafick, Kieran C Breen, Iuliana Hartescu","doi":"10.1111/jsr.70095","DOIUrl":"https://doi.org/10.1111/jsr.70095","url":null,"abstract":"<p><p>People with a severe mental illness (SMI) often experience insomnia and disrupted sleep-wake cycles. Daytime physical activity (PA) can retrain the sleep/wake cycle, but PA engagement is often markedly low in SMI. It is hypothesised that frequent, intermittent, short bouts of daytime PA can improve sleep outcomes in SMI. Twenty-two inpatients from a secure psychiatric hospital (39.95 ± 16.87 years, 16 male) were recruited for a 10-week PA intervention involving 3 × 10-min bouts of self-selected intensity PA/day, 5 days/week. Feasibility (primary outcome) was examined by assessing recruitment, outcome measure completion, trial adherence, and participant retention. At baseline, mid-point, and post-intervention, inpatients completed surveys, including the insomnia severity index (ISI) and wore the Motionwatch8 actigraph for 7 days to record sleep and PA data (including sleep efficiency (SE), total sleep time (TST), and moderate-to-vigorous PA (MVPA)). Outcome completion ranged from 67% to 91%. Mean trial adherence was 22% (range 2%-77%). Participant retention was 100%. Pre-to-post intervention, ISI scores decreased from 12.14 (SD = 4.98) to 11.38 (SD = 6.18) (t (20) = 0.65, p = 0.53). Time to bed and time of falling asleep both advanced (p > 0.05). Mid-point of sleep (M = 38 min, SE = ≥ 15.93 min, p = 0.01) and wake time (M = 34 min, SE = 15.92 min, p = 0.02) significantly advanced. MVPA increased by 17 min/day (T = 1.17, p > 0.05). Other sleep indices (e.g., TST, SE) did not change significantly. Outcome completion and participant retention rates were high; trial adherence was low. Increasing intermittent PA can reduce psychiatric inpatients' insomnia symptoms and advance sleep phase. Sample variance and participant-researcher rapport are discussed. Findings highlight the beneficial effect of short bouts of PA on sleep, providing scaffolding for future trials.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70095"},"PeriodicalIF":3.4,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Prevalence of Insomnia Disorder in the General Population: A Meta-Analysis.","authors":"Annemieke van Straten, Karl Juri Weinreich, Bernát Fábián, Joyce Reesen, Sarah Grigori, Annemarie I Luik, Mathias Harrer, Jaap Lancee","doi":"10.1111/jsr.70089","DOIUrl":"https://doi.org/10.1111/jsr.70089","url":null,"abstract":"<p><p>Insomnia disorder is a significant public health issue, but the prevalence estimates vary widely. We performed a meta-analysis aiming to pool prevalence rates in studies (1) carried out in the general population (2) using a true random sample (3) and using a diagnostic interview, DSM based self-report questions, or a questionnaire with a cut-off established against the DSM criteria. A literature search (in PubMed, Embase, APA PsycInfo) was performed up to April 2024. Two independent reviewers assessed title and abstracts (n = 6732), full-text manuscripts (n = 621) and extracted the data of the 47 included studies. Prevalence rates were pooled using a three-level hierarchical random-effects model, stratified by diagnosis type and adjusted for gender distribution and mean sample age. The pooled prevalence of all studies using an interview to establish the DSM criteria was 12.4% (95% CI: 9.0-16.8%), and of self-report questions assessing the DSM diagnosis 16.3% (95% CI: 11.3%-23.0%). There were 27 studies using different insomnia questionnaires with different cut-offs (prevalence range 7.5%-32.3%). The prevalences differed significantly across regions and high quality studies yielded a lower prevalence rates than lower quality studies. This meta-analysis confirms that insomnia is a common disorder with a prevalence of 12.4 as the most accurate estimate. It also shows the need for standardised ways of assessing insomnia. We think the golden standard is using standardised structured clinical interviews. However, if this is not feasible, we recommend using well validated questionnaires such as the Sleep Condition Indicator or the Insomnia Severity Index. Trial Registration: PROSPERO CRD42023402745.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70089"},"PeriodicalIF":3.4,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Validation of Artificial Intelligence Algorithms for the Diagnosis of Adult Obstructive Sleep Apnea and Sleep Staging From Oximetry and Photoplethysmography-SleepAI.","authors":"Shirel Attia, Arie Oksenberg, Jeremy Levy, Angeleene Ang, Revital Shani-Hershkovich, Alissa Adler, Shlomit Katsav, Sharon Haimov, Alexandra Alexandrovich, Riva Tauman, Joachim A Behar","doi":"10.1111/jsr.70093","DOIUrl":"https://doi.org/10.1111/jsr.70093","url":null,"abstract":"<p><p>Home sleep apnea tests (HSATs) have emerged as alternatives to in-laboratory polysomnography (PSG), but Type IV HSATs often show limited diagnostic performance. This study clinically validates SleepAI, a novel remote digital health system that applies AI algorithms to raw oximetry data for automated sleep staging and obstructive sleep apnea (OSA) diagnosis. SleepAI algorithms were trained on over 10,000 PSG recordings. The system consists of a wearable oximeter connected via Bluetooth to a mobile app transmitting raw data to a cloud-based platform for AI-driven analysis. Clinical validation was conducted in 53 subjects with suspected OSA, who used SleepAI for three nights at home and one night in a sleep centre alongside PSG. SleepAI's apnea-hypopnea index (AHI) estimates and three-class sleep staging (Wake, REM, NREM) were compared to PSG references. For OSA severity classification (non-OSA, mild, moderate, severe), SleepAI achieved an overall accuracy of 89%, with F1-scores of 1.0, 1.0, 0.9, and 0.88, respectively. The three-stage sleep classification achieved a Cohen's kappa of 0.75. Night-to-night AHI variability showed that 37.5% of participants experienced a one-level severity change across nights at home. No significant differences in sleep metrics were found between the first and subsequent nights at home, indicating no sleep disturbance by SleepAI. These findings support the SleepAI system as a promising and scalable alternative to existing Type IV HSATs, with the potential to address key clinical gaps by improving diagnostic accuracy and accessibility.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70093"},"PeriodicalIF":3.4,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144026543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dreaming of Better Treatments: Advances in Drug Development for Sleep Medicine and Chronotherapy.","authors":"Brooke A Prakash, Ishani Shah, Guohao Ni, Sridhar Vasudevan, Aarti Jagannath, Russell G Foster","doi":"10.1111/jsr.70087","DOIUrl":"https://doi.org/10.1111/jsr.70087","url":null,"abstract":"<p><p>Throughout history, the development of new sleep medicines has been driven by progress in our understanding of the mechanisms underlying sleep. Ancient civilisations used their understanding of the sedative nature of natural herbs and compounds to induce sleep. The discovery of barbiturates and bromides heralded a new era of synthetic sleep medicine in the 19th century. This was followed by the development of benzodiazepines that were used to inhibit signalling throughout the brain by promoting gamma-amino butyric acid release and thereby produce loss of consciousness. As our understanding of sleep has deepened, newer therapies have more specifically targeted the wake-inducing neurotransmitter orexin with fewer side effects. Given the newly highlighted role of kinases in sleep/wake regulation, we predict that the next breakthroughs in sleep medicine will likely target these kinases. Given the fundamental role that sleep plays in maintaining brain health through processes such as glymphatic clearance, sleep medicine has therapeutic potential beyond just sleep. Recent evidence suggests that sleep disruptions directly contribute to the build-up of pathological neuronal proteins in neurodegenerative disorders. Therefore, sleep medicine could improve prognosis in disorders such as these. Great attention must be paid to the mechanism of action of each sleep medicine, however, as sleep medicines which do not fully mimic sleep could actually worsen disease progression.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70087"},"PeriodicalIF":3.4,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Autonomic Control of Heart Rate During Sleep Is Depressed in Young Children With Prader-Willi Syndrome.","authors":"Okkes R Patoglu, Lisa M Walter, Georgina Plunkett, Margot J Davey, Gillian M Nixon, Bradley A Edwards, Rosemary S C Horne","doi":"10.1111/jsr.70094","DOIUrl":"https://doi.org/10.1111/jsr.70094","url":null,"abstract":"<p><p>Children with Prader-Willi syndrome are at increased risk of both obstructive and central sleep apnoea. In addition, these children have impaired autonomic control, which may be exacerbated by sleep apnoea. The aim of this study was to compare autonomic control using heart rate variability and nocturnal dipping of heart rate in children with Prader-Willi syndrome and typically developing children. We identified 50 children with Prader-Willi syndrome and matched them for age, obstructive and central apnoea-hypoponea index, body mass index and sex to 50 typically developing children. All children underwent overnight polysomnography. Time and frequency domain heart rate variability were analysed during N2, N3, REM and total sleep, and nocturnal dipping of heart rate from wake was calculated. Children with Prader-Willi syndrome had reduced time domain heart rate variability in REM, reduced low frequency power in N2, higher heart rate in REM and total sleep (p < 0.05 for all) and reduced fall in heart rate from wake to REM (p < 0.05). When stratified into age groups, similar results were found in children ≤ 1 and > 1 ≤ 6 years, with no differences between groups in children > 6 years of age. The significant reduction in LF power and nocturnal dipping indicates children with Prader-Willi syndrome have delayed maturation of autonomic control, particularly below 6 years of age. Investigating the impact of age on heart rate variability longitudinally and treatments such as growth hormone remains to be elucidated.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70094"},"PeriodicalIF":3.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143988965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Future of Insomnia Research-There's Still Work to Be Done.","authors":"Raphael J Dressle, Kai Spiegelhalder, Julian E Schiel, Fee Benz, Anna Johann, Bernd Feige, Susanna Jernelöv, Michael Perlis, Dieter Riemann","doi":"10.1111/jsr.70091","DOIUrl":"https://doi.org/10.1111/jsr.70091","url":null,"abstract":"<p><p>Insomnia Disorder (ID) is a highly debilitating disorder affecting up to 10% of the general population. In recent years, the number of studies in this area has increased rapidly, resulting in a wealth of accumulated knowledge. ID is generally regarded as a hyperarousal disorder affecting cognitive, emotional, cortical and physiological domains. Nevertheless, there is still a significant lack of knowledge about the pathophysiology of ID. For example, the existence of insomnia subtypes is discussed, albeit no uniform definition has yet been found. Significant progress has been made in understanding the neurobiology of insomnia, which points to a dysfunction in emotion regulation. However, neuroimaging studies frequently have small sample sizes and allow only for limited causal conclusions. The assessment of sleep has been significantly influenced by the increasing availability of methods for ambulatory sleep measurement. While these methods enable sleep to be measured more cost-effectively than polysomnography, many devices lack sufficient empirical evidence of validity. In terms of insomnia treatment, cognitive behavioural therapy for insomnia (CBT-I) has been shown to be highly effective. However, the underlying mechanisms of CBT-I remain partially unclear, and the optimal sequence for applying the individual components, as well as the effectiveness of CBT-I in cases of comorbidity, remain open questions. Furthermore, many widely applied pharmacological treatment approaches are used off-label with only a limited empirical evidence base. This narrative review aims to summarise the current state of research on ID and attempts to outline a selection of the important future challenges in insomnia research.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70091"},"PeriodicalIF":3.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144016671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy of a Transdiagnostic Sleep and Circadian Intervention for Outpatients With Sleep Problems and Depression, Attention Deficit Disorder, or Bipolar Disorder: A Randomised Controlled Trial.","authors":"Mette Kragh, Henny Dyrberg, Sanne Toft Kristiansen, Maria Speed, Pernille Pedersen, Klaus Martiny","doi":"10.1111/jsr.70088","DOIUrl":"https://doi.org/10.1111/jsr.70088","url":null,"abstract":"<p><p>This study aimed to investigate the efficacy of a Danish adaption of a transdiagnostic sleep and circadian intervention, combining cognitive behavioural therapy for insomnia with chronotherapy. A randomised controlled trial enrolling 88 outpatients with depression, attention deficit disorder, or bipolar disorder suffering from insomnia or circadian rhythm disorders was conducted. Patients with insomnia and/or circadian rhythm disorders were randomised to either an intervention group receiving six individual sessions of a transdiagnostic sleep and circadian intervention or a control group receiving sleep hygiene education at a single session. Primary outcome was sleep quality and insomnia severity. Secondary outcomes were well-being, personal recovery, work ability, perceived overall health, sleep efficiency, sleep onset latency, wake after sleep onset, nocturnal awakenings, and sleep medication consumption. Data were collected via validated questionnaires, actigraphy, and sleep diaries, with assessments at baseline, week 2, and 6; actigraphy and sleep diaries were recorded continuously over the 6-week period. The intervention group statistically significantly improved sleep quality (p < 0.001), reduced insomnia severity (p < 0.001), and increased well-being (p = 0.002), personal recovery (p = 0.037), work ability (p < 0.001), and perceived overall health (p = 0.004) from baseline to week 6 compared to the control group. Actigraphy and sleep diary analyses revealed no statistically significant differences between the groups. In conclusion, the transdiagnostic sleep and circadian intervention was effective for both patients with insomnia and circadian rhythm disorders comorbid with depression, attention deficit disorder, or bipolar disorder. It resulted in improved sleep quality, a reduction in insomnia, and enhanced well-being, personal recovery, work ability, and overall health perception.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70088"},"PeriodicalIF":3.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144031181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}