Frontiers in sleep最新文献

{"title":"Apnea-hypopnea index estimation using overnight chest-wall accelerometry.","authors":"Fons Schipper, Pedro Fonseca, Angela Grassi, Marco Ross, Fokke B van Meulen, Merel van Gilst, Pien F N Bosschieter, Emily Schoustra, Ruud J G van Sloun, Fayçal Abdenbi, Nico de Vries, Raphael Heinzer, Jean-Louis Pépin, Sebastiaan Overeem","doi":"10.3389/frsle.2026.1858267","DOIUrl":"10.3389/frsle.2026.1858267","url":null,"abstract":"<p><strong>Rationale and study objectives: </strong>To develop a method for apnea-hypopnea index (AHI) estimation using a chest-worn accelerometer, as an approach to obstructive sleep apnea diagnosis and long-term monitoring of treatment, for example through positional therapy.</p><p><strong>Methods: </strong>We developed a method for AHI estimation by combining a cardiorespiratory sleep staging algorithm with an adapted neural network for detecting respiratory events. Originally based on electrocardiography and respiratory impedance plethysmography, the network was retrained using chest-wall accelerometry-based instantaneous heart rate and respiratory effort. Training and validation utilized accelerometer data from 413 participants across two centers, recorded during diagnostic overnight polysomnography (PSG), in absence of any therapy. The dataset was split equally: half was used to train the neural network, and the remaining half to evaluate its performance. This evaluation compared the accelerometry-derived overnight AHI against the reference from PSG, both overall and separately for supine and non-supine sleeping positions.</p><p><strong>Results: </strong>Sleep staging reached substantial agreement with polysomnography, achieving a Cohen's kappa coefficient of agreement of 0.67 for four-class sleep staging (Wake/REM/N1-N2/N3). AHI was estimated with highly reliable, showing an intraclass correlation coefficient of 0.90 (95% CI: 0.86-0.92) when compared to polysomnography-derived values. Performances were consistent in both supine and non-supine sleeping positions. Positive likelihood ratios were high (7.1, 16.0, and 165.7 for the mild, moderate, and severe OSA severity classes, using near-boundary double labeling). Negative likelihood ratios were low (0.095, 0.153, and 0.069 for the same cases).</p><p><strong>Conclusion: </strong>AHI can be reliably estimated using chest-wall accelerometry. This approach may be used in diagnostic tests for OSA but also to assess residual AHI during positional therapy.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1858267"},"PeriodicalIF":2.0,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13429486/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148671481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Narcolepsy-like pathologic daytime sleepiness in a patient with obsessive-compulsive disorder and attention deficit hyperactivity disorder: a Case Report.","authors":"Sandra Hackethal, Marco Pecorini, Francesca Duranti, Mauro Manconi, Silvia Miano","doi":"10.3389/frsle.2026.1846349","DOIUrl":"10.3389/frsle.2026.1846349","url":null,"abstract":"<p><p>Excessive daytime sleepiness (EDS) is a frequent complaint in the general population. Other than being a common symptom associated with various sleep disorders, EDS may be a consequence of chronic sleep deprivation or the primary symptom of central disorders of hypersomnolence (CDH). In addition to narcolepsy type 1 (NT1), the other conditions within the CDH spectrum are less well-defined and share considerable clinical and neurophysiological similarities. Herein, we describe the clinical management of a complex case that highlights several challenges in the diagnostic process of a patient with EDS and a history of obsessive-compulsive disorder (OCD). In the absence of other sleep disorders, secondary structural causes, and orexin deficiency as possible causes for EDS, the patient was initially diagnosed with NT2 based on electrophysiological criteria. However, the clinical course, which showed only a partial response to various stimulant medications for subjective and objective daytime sleepiness, led us to question the diagnosis. A detailed psychiatric and neuropsychological assessment revealed, in addition to the previously identified severe OCD and anxiety, a diagnosis of attention deficit hyperactivity disorder (ADHD), subsequently leading to a revised diagnosis of hypersomnia associated with a psychiatric disorder (HPSY). The literature regarding OCD and sleep disorders remains scarce but the connection between ADHD and hypersomnia, as well as narcolepsy, is well-established. Our case report illustrates that a psychiatric and neuropsychological assessment should be considered mandatory for patients with objective EDS.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1846349"},"PeriodicalIF":2.0,"publicationDate":"2026-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13414973/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148622961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep, PTSD, and suicide risk in U.S. veterans.","authors":"Sara Kintzle, Leonidas Marin, Eva Alday, Nicholas Barr","doi":"10.3389/frsle.2026.1837234","DOIUrl":"10.3389/frsle.2026.1837234","url":null,"abstract":"<p><strong>Introduction: </strong>The stresses of military service can contribute independently to mental health and sleep problems in military personnel that persist after leaving military service. Understanding how sleep and mental health challenges contribute to behavioral health outcomes is key to supporting this population. To advance these goals, this study examined associations among PTSD, sleep disturbance, and suicide risk in U.S. veterans.</p><p><strong>Methods: </strong>Online survey data using valid and reliable measures were collected from3,188 veterans living in Southern California as part of a large needs assessment; suicide risk was measured by the SBQ-R, which assess ideation, behaviors and attempts. A structural equation modeling approach was used to test the direct effects of PTSD on sleep problems and suicide risk, the direct effect of sleep on suicide risk, and an indirect effect of PTSD on suicide risk through the sleep pathway.</p><p><strong>Results: </strong>Findings demonstrated significant direct effects for PTSD (B = 0.05, <i>p</i> < 0.001) and sleep problems (B = 0.74, <i>p</i> < 0.001) on suicide risk, as well as a significant indirect effect for PTSD on suicide risk through the sleep pathway (B = 0.05, <i>p</i> < 0.05). The structural model explained 55.3% of the variance in sleep difficulties and 29.9% of the variance in suicide risk.</p><p><strong>Discussion: </strong>Results advance the understanding of how sleep problems may be associated with the risk of suicide in U.S. veterans, both directly through its effects on suicide risk and indirectly through the effects on PTSD symptomatology. Practitioners and policy makers may consider ensuring the assessment and treatment of sleep problems in veterans are included in suicide prevention models.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1837234"},"PeriodicalIF":2.0,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13346184/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148426716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The return to normal life: sleep, anxiety upon awakening, and nightmares following the crisis caused by the COVID-19 pandemic.","authors":"Inigo Saez-Uribarri","doi":"10.3389/frsle.2026.1748727","DOIUrl":"10.3389/frsle.2026.1748727","url":null,"abstract":"<p><strong>Introduction: </strong>The return to normal life following the COVID-19 pandemic was evaluated in terms of anxiety upon awakening, sleep quality indicators, and dream characteristics.</p><p><strong>Methods: </strong>The sample comprised 394 women and 107 men who completed an online self-report questionnaire between August 15, 2022, and December 8, 2022 about their sleep and dream experience from the previous night. Respondents completed the Anxiety upon Awakening Assessment Questionnaire (CEAD, as per the Spanish acronym) and evaluated their experiences of the pandemic. The data were compared to those obtained before the pandemic and those collected during lockdown in a previous study.</p><p><strong>Results: </strong>After the return to normal life, 46.5% of respondents recalled at least one dream scene, and nightmares were recorded in 4.6% of cases. This percentage did not differ significantly from those observed during lockdown or before the pandemic. Compared with the previous periods, participants also reported more dreams with anxious content and greater dream recall. A return to a sleep duration of between 6 and 7 h was observed. However, anxiety upon awakening was higher, suggesting that full normalization had not yet occurred at the time of this study.</p><p><strong>Conclusion: </strong>In this sample, nightmare frequency was less sensitive than anxiety upon awakening to post-pandemic sleep-related emotional activation. The findings may be compatible with emotional-processing accounts of dreaming and with a homeostatic interpretation of sleep in which emotional dream content did not translate into more awakenings.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1748727"},"PeriodicalIF":2.0,"publicationDate":"2026-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13342196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148413934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Targeted dream incubation at sleep onset can influence later dream content in REM sleep: a pilot study.","authors":"Adam Haar Horowitz, Karen R Konkoly, Michelle Carr, Robert Stickgold, Pattie Maes","doi":"10.3389/frsle.2026.1812535","DOIUrl":"10.3389/frsle.2026.1812535","url":null,"abstract":"<p><p>Targeted dream incubation (TDI) is a highly effective method for eliciting hypnagogic dreams related to specific topics through the presentation of verbal prompts and serial awakenings at sleep onset. In this pilot study, we tested whether TDI at sleep onset can effectively direct dream content in subsequent rapid eye movement (REM) sleep. We allowed participants a daytime nap opportunity following TDI at sleep onset. Serial awakenings were performed both at sleep onset and after entry into REM sleep. Our primary objective was to assess whether the TDI protocol during the sleep onset period would continue to affect dream content in REM sleep, producing dreams of the target content (\"tree\") in the first REM awakening. Our second objective was to assess incorporation when participants received additional TDI prompts following REM awakenings. All 11 participants successfully incubated the target theme at sleep onset, and eight subsequently obtained REM sleep. Four of these participants (50%) incorporated the target theme into their first REM dream, and five incorporated the target theme in subsequent REM dreams (63%). Results provide preliminary evidence that TDI may impact dreams in REM sleep. This method of engineering dreams across sleep stages may be useful for understanding how dream generation and function may be continuous or different across sleep stages.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1812535"},"PeriodicalIF":2.0,"publicationDate":"2026-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13341471/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148413864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility and acceptability of Nenne Navi-AI: family-tailored intervention to improve sleep in young Japanese children.","authors":"Arika Yoshizaki, Manabu Saito, Ai Terui, Kanako Kawamura, Emi Murata, Sanae Tanaka, Ikuko Hirata, Ikuko Mohri, Kazunori Komatani, Masako Taniike","doi":"10.3389/frsle.2026.1827400","DOIUrl":"10.3389/frsle.2026.1827400","url":null,"abstract":"<p><strong>Introduction: </strong>Despite advancements in sleep medicine, inadequate sleep habits among young children persist. Establishing appropriate sleep habits in early childhood is essential for supporting physical, emotional, and cognitive development. However, scalable and personalized behavioral interventions for caregivers in community settings remain scarce, particularly AI-enabled systems designed for real-world implementation.</p><p><strong>Methods: </strong>This study evaluated adherence, perceived usefulness, and feasibility of Nenne Navi-AI among 50 caregivers recruited in Hirosaki City, Japan, through community health checkups, childcare facilities, and public advertisements. The culturally tailored application integrates supervised machine-learning models with rule-based algorithms to provide personalized guidance and ongoing support for promoting healthier sleep habits.</p><p><strong>Results: </strong>During the 6-month intervention, only 3 of 50 caregivers (6%) experienced continuous 3-month data-entry lapses, with no withdrawals. Significant pre-post improvements were observed in children's number of awakenings after sleep onset and subjective sleep quality ratings. Subgroup analyses suggested improvements among children with poorer baseline sleep habits (≥0.5 SD worse than the sample mean). Post-intervention assessments confirmed high caregiver acceptability, satisfaction, and reduced parenting stress.</p><p><strong>Conclusions: </strong>Nenne Navi-AI demonstrates high feasibility with excellent 6-month adherence and favorable usability feedback. The system shows promise for improving early childhood sleep (night-waking), enhances caregiving experiences, reduces negative parenting emotions, and provides a scalable framework for future AI-enabled pediatric sleep interventions.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1827400"},"PeriodicalIF":2.0,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337695/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148407324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Good nights sleep program: design and preliminary findings from a randomized clinical trial to improve child and parent sleep in low-income families.","authors":"Brian T Gillis, Ben Hinnant, Olivia Martín-Piñón, Elise L Neuhoff","doi":"10.3389/frsle.2026.1764378","DOIUrl":"10.3389/frsle.2026.1764378","url":null,"abstract":"<p><strong>Introduction: </strong>Sleep is essential for human health. For low-income individuals and families, sufficient, high-quality, regular sleep can be difficult to obtain due to two main barriers: factors that prevent optimum sleep hygiene behaviors and aspects of the bedroom environment, such as noise and temperature, that reduce sleep. This article describes the rationale and design of the Good Nights Sleep Program, a pilot of a randomized clinical trial (clinicaltrials.gov/study/NCT06249217) that combines education with behavior change strategies that lead children and their parents to select, implement, and track changes to their sleep behaviors and environments. Following the conceptual description of the interventions, descriptive statistics from the pilot study are presented.</p><p><strong>Methods: </strong>The study enrolled parent-child dyads with a mean family income-to-needs ratio of 1.68 (75% Black; 25% White).</p><p><strong>Results: </strong>Findings provided proof of concept for the intervention and descriptive preliminary evidence. Children receiving the intervention had longer actigraphy-derived sleep hours compared to waitlist control-arm participants, and parents had shorter self-reported usual sleep latency and more consistent actigraphic wake times.</p><p><strong>Discussion: </strong>The Good Nights Sleep Program offers a promising model for empowering children and parents to make attainable changes that yield benefits for their sleep.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1764378"},"PeriodicalIF":2.0,"publicationDate":"2026-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13320731/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148371285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexsomnia - a detailed approach to evaluation.","authors":"Colin M Shapiro, Persis F Yousef, Julian A Gojer, Naheed K Hossain, Chris Y Kim","doi":"10.3389/frsle.2026.1847000","DOIUrl":"10.3389/frsle.2026.1847000","url":null,"abstract":"<p><p>Sexsomnia is an underrecognized parasomnia with significant clinical, interpersonal and legal implications. This article proposes a comprehensive, structured framework for the evaluation of sleep-related sexual behaviors, aimed at improving diagnostic clarity and risk assessment. Rather than relying on isolated features, the approach emphasizes a multidimensional assessment across multiple domains, recognizing that no single factor is determinative and that not all indicators carry equal diagnostic weight. An indexed framework of 19 domains is presented, covering presenting complaints, levels of awareness during events, collateral reports, sleep history, environmental and physiological triggers, medical, psychiatric and family history, medication and substance use, lifestyle factors and prior investigations. Additional domains address behavioral indicators of risk, relationship and social context, safety planning and legal and forensic considerations. Overlapping features across domains are acknowledged, with emphasis placed on patterns across categories rather than cumulative scoring. This structured approach is intended to assist clinicians in identifying features that increase the likelihood of sexsomnia, distinguishing it from other conditions and addressing associated safety and legal concerns. The framework aims to support consistent clinical evaluation, facilitate interdisciplinary communication and inform risk management in both clinical and forensic contexts.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1847000"},"PeriodicalIF":2.0,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13294039/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148347560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing sleep, cognition and overnight memory performance in neurotypically developing youth in a children's hospital.","authors":"Gabrielle N Deutsch, Emmet W Klein, Chelsea E Cadle, Katharine C Simon, H Gerry Taylor, Maninder Kalra, Paola Malerba","doi":"10.3389/frsle.2026.1771860","DOIUrl":"10.3389/frsle.2026.1771860","url":null,"abstract":"<p><p>Childhood and adolescence are times of significant maturation for cognitive abilities and cortical neurophysiology, and changes in sleep brain activity across development reflect these maturation trajectories. Furthermore, sleep is known to support changes in cognition across the lifespan, including in domains of memory, emotion regulation and executive functioning. Driven by our interest in establishing mechanistic links between changes in sleep neurophysiology and cognitive/mood symptoms in pediatric populations, we aim to establish research protocols for examining sleep-dependent cognition in a wide range of pediatric populations. As a first step, we have established a data acquisition protocol that pairs measurement of overnight memory changes with polysomnography involving a full electroencephalography (EEG) montage and standardized clinical assessments of cognition. While this is typical of a cognitive sleep laboratory, we are now executing it in the context of a pediatric hospital. The protocol is essential in creating an inclusive research program where children and adolescents with a range of conditions can participate in research in a context that is safe and tailored to their needs (a sleep center in a pediatric hospital). This article describes our first protocol, developed for typically developing youth aged 8-19 years, including collection of subjective and objective measures of sleep and cognition, emotion regulation and executive functioning, and overnight changes in memory performance. We also share strategies for ensuring data quality in our protocol.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1771860"},"PeriodicalIF":2.0,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13275221/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148297480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multilevel CPAP support strategy implemented within a large stroke clinical trial (sleep SMART).","authors":"Devin L Brown, Jeffrey S Durmer, Mark Aloia, Rebecca M Hankla, Kayla Novitski, Joelle B Sickler, Shannon Considine, Emerson Delacroix, Jason C Ong, Alp Sinan Baran, Craig S Anderson, Dawn M Bravata, H Klar Yaggi, Valerie Durkalski-Mauldin, Ronald D Chervin","doi":"10.3389/frsle.2026.1832143","DOIUrl":"10.3389/frsle.2026.1832143","url":null,"abstract":"<p><strong>Introduction: </strong>Continuous positive airway pressure (CPAP) clinical trials require integrated CPAP support programs, especially in challenging patient populations. Herein, we describe the CPAP support program devised and implemented within the largest CPAP trial to date in patients with recent acute stroke, the Sleep for Stroke Management and Recovery Trial (Sleep SMART).</p><p><strong>Methods: </strong>We developed a comprehensive, primarily remote, multi-level and -component automatically-adjusting CPAP (APAP) use support strategy for application across diverse enrollment sites with varied resources. Although many components were pre-planned, some were developed during the conduct of the trial, reflecting innovation and adaption to new technologies. Sites received training and guidance on APAP during the inpatient setting, and a robust telemedicine-based support program was implemented to maximize participant convenience and access. The APAP support program included patient-level behavioral and educational strategies, technical support, objective monitoring and feedback, social support, and system-level facilitation to address the complex determinants of APAP use.</p><p><strong>Results: </strong>Among the 146 sites across the United States, 138 enrolled at least one participant, and 129 sites randomized at least one participant. Overall, 1,892 participants were equally randomized (1:1) between the two treatment arms from 2019 to 2025, and outcome assessments are ongoing.</p><p><strong>Discussion: </strong>In this large multicenter clinical trial of APAP in stroke patients, a range of APAP support components were implemented at site- and participant-levels. A comprehensive and standardized APAP support program can be delivered, using a combination of centralized and non-centralized tools, without reliance on local sleep medicine expertise for a clinically complex and difficult-to-treat population.</p><p><strong>Clinical trial registration: </strong>clinicaltrials.gov, identifier NCT03812653.</p>","PeriodicalId":73106,"journal":{"name":"Frontiers in sleep","volume":"5 ","pages":"1832143"},"PeriodicalIF":2.0,"publicationDate":"2026-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13243104/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148213517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}