{"title":"A Participatory Artificial Intelligence Driven Shift-Scheduling Application for Improving Sleep Among Shift-Working Caregivers: A 4-Month Non-Randomised Controlled Study With Cross-Over Design.","authors":"Tomohide Kubo, Shun Matsumoto, Yuki Nishimura, Hiroki Ikeda, Shuhei Izawa, Fumihiko Sato","doi":"10.1111/jsr.70144","DOIUrl":"https://doi.org/10.1111/jsr.70144","url":null,"abstract":"<p><p>Here, we examine the effectiveness of a participatory artificial intelligence (AI)-driven shift-scheduling mobile application (which reflects the local improvement needs in shift scheduling) in improving the sleep quality of shift-working geriatric caregivers. Thirty-five shift-working geriatric caregivers participated in this 4-month cross-over interventional study. Half of the participants in the first 2 months followed the intervention schedule created by the AI-driven shift-scheduling mobile application, while the remaining participants followed the manually created control schedule. The improvement needs in shift scheduling, derived from occupational-fatigue counselling, were as follows: avoiding backward rotating shifts, reducing consecutive shifts, extending shift intervals and ensuring a day-off after a night shift. Sleep phases were evaluated using a ring-type sleep tracker. The effectiveness of the intervention was examined using three-way multilevel analyses (condition × shift × time). Deep sleep (N3) and rapid eye movement sleep were significantly more pronounced in the intervention condition compared with the control condition (p = 0.016, p = 0.046, respectively). However, no significant differences were detected for other outcomes. Moreover, we examined how shift combinations affected sleep outcomes. As a result, two consecutive late shifts and backward rotating shifts significantly deteriorated sleep quality and length (all p < 0.05). Our findings suggest that the shift-scheduling app reduced the backward shift rotations, resulting in significantly better sleep outcomes than from manual schedule creation. However, the magnitude of reduction in backward rotating shifts was not so remarkable. Therefore, the positive outcomes can also be attributed to enhanced employees' working time control by reflecting the local improvement needs. Trial Registration: UMIN Clinical Trials Registry: UMIN000048495.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70144"},"PeriodicalIF":3.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144659457","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":"Childhood OSAS and Obesity: Prospective Associations of Anthropometric Markers With Objective Sleep Outcomes in the CHAT Trial.","authors":"Catalina Ramírez-Contreras, Verónica Palma Elgueta, Lautaro Briones-Suárez","doi":"10.1111/jsr.70156","DOIUrl":"https://doi.org/10.1111/jsr.70156","url":null,"abstract":"<p><p>Obstructive sleep apnea syndrome (OSAS) is characterised by episodic upper airway obstruction that occurs during sleep and is common in children with obesity. The aim of the present study was to analyse the association between baseline anthropometric markers and objective sleep quality measures at follow-up in school-aged children with OSAS. Four hundred and seven school-aged children with OSAS (age 6.5 ± 1.4 years; 51.4% female, 92.1% non-Hispanic or Latino) were included in this study from the Childhood Adenotonsillectomy Trial (CHAT) study database. For the analysis, general linear models and linear regression were tested for sleep quality outcomes using polysomnographic data at follow-up (7 months) including: wake after sleep onset, sleep efficiency, sleep latency and total sleep duration and anthropometric markers at baseline including: waist circumference, neck circumference and obesity (body mass index percentile ≥ 95). Children with obesity had lower sleep efficiency (p = 0.021) and higher sleep latency (p = 0.049) than children without obesity. Additionally, higher neck circumference values were associated with lower total sleep duration (p = 0.042). At the same time, higher waist circumference was associated with lower sleep efficiency (p = 0.016) and lower total sleep duration (p = 0.013). Our study highlights the intricate relationship between childhood OSAS, obesity and neck and waist circumference that influences sleep outcomes. Our findings showed that obesity at baseline leads to poorer sleep quality, lower sleep efficiency and higher sleep latency at follow-up, regardless of gender, age, ethnicity and adenotonsillectomy. These findings underscore the importance of addressing obesity, neck and waist circumference in paediatric OSAS. Trial Registration: NCT00560859.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70156"},"PeriodicalIF":3.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144659458","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":"Management of Insomnia Complaints by Non-Sleep Specialist Physicians: A French DELPHI Consensus.","authors":"Pierre-Alexis Geoffroy, Jean-Louis Pépin, Marjorie Guillet, Jean-Bastien Micoulaud-Franchi, Yves Dauvilliers, Damien Léger, Sylvie Royant-Parola","doi":"10.1111/jsr.70143","DOIUrl":"https://doi.org/10.1111/jsr.70143","url":null,"abstract":"<p><p>Insomnia is the most prevalent sleep disorder and a major public health concern, affecting chronically up to 19% of the adult population in France. Despite its significant impact on quality of life, mental health, and cardiometabolic disease, insomnia disorder remains underdiagnosed and inadequately managed. General Practitioners (GPs) play a pivotal role in addressing insomnia complaints but often face constraints, such as limited consultation time and a lack of specialised training. To provide practical recommendations for non-sleep specialist physicians, a French Delphi consensus was conducted based on recent expert guidelines. A multidisciplinary Steering Committee formulated 21 clinical statements regarding the evaluation, severity assessment, management, and referral to sleep specialists of patients presenting with insomnia disorder. These statements were submitted to a panel of 37 GPs across France via two rounds of anonymous rating using a 9-point Likert scale. While a consensus was reached for 95% of the statements, encompassing initial evaluation, sleep hygiene recommendations, behavioural interventions, and referral criteria, controversies emerged regarding the prescription of hypnotics, underscoring areas requiring further clarification and education. Our results highlight the importance of tailored approaches in primary care, emphasising pragmatic strategies rather than highly specialised protocols. This French Delphi consensus provides a structured yet flexible framework to support insomnia disorder management by non-sleep specialist physicians, bridging the gap between guidelines and real-world clinical practice.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70143"},"PeriodicalIF":3.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144659503","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}
R Glenn Weaver, James W White, Olivia Finnegan, Hongpeng Yang, Zifei Zhong, Keagan Kiely, Catherine Jones, Yan Tong, Srihari Nelakuditi, Rahul Ghosal, David E Brown, Russ Pate, Gregory J Welk, Massimiliano de Zambotti, Yuan Wang, Sarah Burkart, Elizabeth L Adams, Bridget Armstrong, Michael W Beets
{"title":"Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation.","authors":"R Glenn Weaver, James W White, Olivia Finnegan, Hongpeng Yang, Zifei Zhong, Keagan Kiely, Catherine Jones, Yan Tong, Srihari Nelakuditi, Rahul Ghosal, David E Brown, Russ Pate, Gregory J Welk, Massimiliano de Zambotti, Yuan Wang, Sarah Burkart, Elizabeth L Adams, Bridget Armstrong, Michael W Beets","doi":"10.1111/jsr.70149","DOIUrl":"https://doi.org/10.1111/jsr.70149","url":null,"abstract":"<p><p>Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-term memory (LSTM) is a machine learning algorithm that may address these deficiencies. This study evaluated the agreement of LSTM sleep estimates from actigraphy and heartrate (HR) data with polysomnography (PSG). Children (N = 238, 5-12 years, 52.8% male, 50% Black 31.9% White) participated in an overnight laboratory polysomnography. Participants were referred because of suspected sleep disruptions. Children wore an ActiGraph GT9X accelerometer and two of three consumer wearables (i.e., Apple Watch Series 7, Fitbit Sense, Garmin Vivoactive 4) on their non-dominant wrist during the polysomnogram. LSTM estimated sleep versus wake and sleep stage (wake, not-REM, REM) using raw actigraphy and HR data for each 30-s epoch. Logistic regression and random forest were also estimated as a benchmark for performance with which to compare the LSTM results. A 10-fold cross-validation technique was employed, and confusion matrices were constructed. Sensitivity and specificity were calculated to assess the agreement between research-grade and consumer wearables with the criterion polysomnography. For sleep versus wake classification, LSTM outperformed logistic regression and random forest with accuracy ranging from 94.1 to 95.1, sensitivity ranging from 94.9 to 95.9 across different devices, and specificity ranging from 84.5 to 89.6. The addition of HR improved the prediction of sleep stages but not binary sleep versus wake. LSTM is promising for predicting sleep and sleep staging from actigraphy data, and HR may improve sleep stage prediction.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70149"},"PeriodicalIF":3.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144659504","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":"Developing Custom-Fit CPAP Mask Prototype in Patients With Obstructive Sleep Apnea.","authors":"Rutvi Sheth, Soham Sheth, Michel Audette","doi":"10.1111/jsr.70146","DOIUrl":"https://doi.org/10.1111/jsr.70146","url":null,"abstract":"<p><p>Obstructive sleep apnea (OSA) is a common condition linked to increased cardiovascular risk. Continuous positive airway pressure (CPAP) therapy is the standard treatment; however, poor mask fit-due to limited size options-often reduces patient adherence. This study explores the feasibility of developing a fully customised CPAP mask prototype using accessible 3D scanning, computer-aided design, and 3D printing technologies. A high-resolution facial scan was obtained using a Structure Sensor (ST01) attached to an iPad and imported into Autodesk Fusion 360 to generate a personalised nasal mask design. The masks were fabricated using desktop masked stereolithography (MSLA) printers (Elegoo Saturn 3 12K) with standard resin. To enhance comfort and prevent direct skin contact with rigid surfaces, a medical-grade foam lining was added. The prototype underwent key safety evaluations, including exhaust flow rate, pressure drop, and CO<sub>2</sub> rebreathing. The estimated production cost per mask was approximately $25. These findings highlight the potential for in-office fabrication of custom-fit CPAP masks using affordable tools and materials. With further biocompatibility testing and user feedback, this approach may offer a practical and scalable solution for improving comfort, fit, and adherence in CPAP therapy.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70146"},"PeriodicalIF":3.4,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144649760","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}
Christopher J Lettieri, Orestis Briasoulis, Damien Léger, Pierre-Philippe Luyet, Jean-Louis Pépin, Stuart F Quan, Janna Raphelson, Paul Saskin, Atul Malhotra
{"title":"The Effects of Daridorexant on Patients With Comorbid Insomnia Disorder and Untreated Mild Obstructive Sleep Apnoea: A Post Hoc Subgroup Analysis of a Phase 3, Randomised Clinical Trial.","authors":"Christopher J Lettieri, Orestis Briasoulis, Damien Léger, Pierre-Philippe Luyet, Jean-Louis Pépin, Stuart F Quan, Janna Raphelson, Paul Saskin, Atul Malhotra","doi":"10.1111/jsr.70135","DOIUrl":"10.1111/jsr.70135","url":null,"abstract":"<p><p>Daridorexant, a dual orexin receptor antagonist, is approved for the treatment of insomnia disorder in adults. Approximately 30%-35% of patients with insomnia disorder also have obstructive sleep apnoea (OSA) of any severity. It is unclear whether sleep medications provide safe and effective treatment for insomnia in these patients. This post hoc analysis evaluated the efficacy and safety of daridorexant 25 and 50 mg on objective and self-reported insomnia variables and self-reported daytime functioning in patients with untreated mild OSA and comorbid insomnia disorder (COMISA). This analysis included participants with insomnia disorder enrolled in the Phase 3 study assessing either daridorexant 25 or 50 mg with an apnoea/hypopnoea index 5-< 15 events/h ('mild OSA'). Wake after sleep onset (WASO), latency to persistent sleep (LPS), self-reported total sleep time (sTST) and the Insomnia Daytime Symptoms and Impacts Questionnaire (IDSIQ) were assessed at Months 1 and 3. Safety endpoints were treatment-emergent adverse events, daytime somnolence and next-morning residual effects. In participants with mild OSA, daridorexant improved WASO, LPS, sTST and IDSIQ total score over time. The average treatment effect size for all efficacy parameters was numerically greater with daridorexant 50 mg than with daridorexant 25 mg; daridorexant 25 mg was not always greater than placebo. No safety concerns were reported for daridorexant 50 or 25 mg. In participants with comorbid insomnia and untreated mild OSA, daridorexant 50 mg versus placebo improved all sleep parameters over time and was well tolerated. Daridorexant warrants further investigation in COMISA. Trial Registration: ClinicalTrials.gov identifier: NCT03545191.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70135"},"PeriodicalIF":3.4,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144637345","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}
Nilabhra R Das, Benjamin Woolf, Stephanie Page, Rebecca C Richmond, Jasmine Khouja
{"title":"Exploring the Relationship Between Caffeine Consumption, Caffeine Metabolism, and Sleep Behaviours: A Mendelian Randomisation Study.","authors":"Nilabhra R Das, Benjamin Woolf, Stephanie Page, Rebecca C Richmond, Jasmine Khouja","doi":"10.1111/jsr.70147","DOIUrl":"https://doi.org/10.1111/jsr.70147","url":null,"abstract":"<p><p>Higher consumption of caffeinated beverages is associated with disturbed sleep patterns. Using genetic variants as proxies for caffeine consumption, caffeine metabolism, and sleep traits, we investigated whether this association reflects a direct effect of caffeine. Genetic variants associated with caffeine consumption (n = 407,072), caffeine metabolism (n = 9876), chronotype (n = 449,734), daytime napping (n = 452,633), daytime sleepiness (n = 452,071), getting up in morning (n = 385,949), insomnia (n = 453,379), and sleep duration (n = 446,118) identified in individuals from several studies, including the UK Biobank, were used to explore bi-directional causal relationships between caffeine and sleep using a series of univariable Mendelian Randomisation analyses. We used multivariable Mendelian Randomisation to explore the direct effects of caffeine consumption on sleep behaviours while adjusting for metabolism and vice versa. Higher consumption decreased daytime sleepiness (β<sub>univariable</sub> = -0.044, 95% CI [-0.065, -0.023], p < 0.001; β<sub>multivariable</sub> = -0.034, 95% CI [-0.058, -0.009], p = 0.010), while faster caffeine metabolism, indicative of less caffeine exposure per beverage consumed, decreased the likelihood of daytime napping (β<sub>univariable</sub> = -0.024, 95% CI [-0.037, -0.011], p < 0.001; β<sub>multivariable</sub> = -0.021, 95% CI [-0.042, 0.000], p = 0.051). Being an evening person decreased caffeine consumption (β<sub>univariable</sub> = -0.044, 95% CI [-0.078, -0.010], p = 0.010). Caffeine consumption/metabolism was not causally related to sleep duration or insomnia. We found no clear evidence for effects of caffeine consumption/metabolism on sleep among non-current caffeine consumers when assessing possible pleiotropy. Overall, sleep appears to be impacted by caffeine in a way that influences daytime alertness rather than night-time sleep characteristics. However, the presence of weak instruments for caffeine metabolism and significant heterogeneity warrants further research with larger and diverse samples to better understand the causal pathway between caffeine and sleep.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70147"},"PeriodicalIF":3.4,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626634","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}
Eline Rozária Ferreira Barbosa, Desiree Rodrigues da Veiga, Mayra Gabriela Ayala, Ivan Dunshee de A O Santos Filho, Andrea Suarez Gomez, Erika Bushatsky Andrade de Alencar, Abrahan Salcedo Pérez, Chukwuma Eze Okereke, Danny Chris Vinas, Rinna Segatto Siquieroli, Hilario de Sousa Francelino, Agustin N Posso, Isabella Meneghetti Inácio Silva, Pedro Henrique Martins da Cunha, Víctor Barrientos Labra, Daniel Gomez-Carrillo, Sara Lanaia, Lyna Kyria Rodrigues de Almeida, Elmira Mustafayevna Lomashvili, Laura Soledad Samudio Sanchez, Sebastian Castañon Muñoz, Priscila Fuentes, Andrea De Góes Trindade Mello, Nicolas Emiliozzi, Amos Terseg, Ramón Antonio Romano Peralta, Takuro Nishizawa, Enzo Billy Vera Chavez, Clarissa Bueno
{"title":"Sleep Impairment and Chronic Pain in the Military: A Scoping Review.","authors":"Eline Rozária Ferreira Barbosa, Desiree Rodrigues da Veiga, Mayra Gabriela Ayala, Ivan Dunshee de A O Santos Filho, Andrea Suarez Gomez, Erika Bushatsky Andrade de Alencar, Abrahan Salcedo Pérez, Chukwuma Eze Okereke, Danny Chris Vinas, Rinna Segatto Siquieroli, Hilario de Sousa Francelino, Agustin N Posso, Isabella Meneghetti Inácio Silva, Pedro Henrique Martins da Cunha, Víctor Barrientos Labra, Daniel Gomez-Carrillo, Sara Lanaia, Lyna Kyria Rodrigues de Almeida, Elmira Mustafayevna Lomashvili, Laura Soledad Samudio Sanchez, Sebastian Castañon Muñoz, Priscila Fuentes, Andrea De Góes Trindade Mello, Nicolas Emiliozzi, Amos Terseg, Ramón Antonio Romano Peralta, Takuro Nishizawa, Enzo Billy Vera Chavez, Clarissa Bueno","doi":"10.1111/jsr.70100","DOIUrl":"https://doi.org/10.1111/jsr.70100","url":null,"abstract":"<p><p>This scoping review explores the bidirectional association between chronic pain and sleep disorders in military personnel. It aims to identify gaps in existing studies, offering tools for diagnosing and treating sleep disorders, chronic pain, and their comorbidities. Observational and interventional studies up to 2024 that approached the relationship between chronic pain and sleep disorders were included. Furthermore, PTSD, anxiety, depression, alcohol consumption, suicidal ideation and drug abuse were considered covariables. Cancer-related or acute pain and studies primarily addressing sleep apnoea or traumatic brain injury were excluded. A systematic search was conducted in ScienceDirect, PubMed, Scopus, Embase, Web of Science and Google Scholar until April 2024. Articles were screened using Covidence by two independent researchers, and bias was assessed using the Newcastle Ottawa Scale, ROBINS-I and ROB-2. Sixteen articles analysed data from 15,060 active military personnel or veterans. Overall, studies endorsed the association between sleep quality and chronic pain and their influence on mental health, physical functioning and quality of life. Additionally, behavioural, mind-body and circadian misalignment therapies, along with other nonpharmacologic interventions, positively impacted outcomes related to pain, sleep quality, and psychiatric comorbidities. However, there was heterogeneity in the use of diagnostic tools, non-standardised procedures, and a lack of guidelines in the treatment of these conditions. The construct of sleep disorders, chronic pain and associated comorbidities was shown to improve with nonpharmacologic and integrative interventions that addressed at least one of these conditions.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70100"},"PeriodicalIF":3.4,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626635","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":"Comprehensive Visualisation of Ventilation Curve and Arousal Surrounding Respiratory Events: A Novel Endotyping Approach in OSA.","authors":"Margaux Blanchard, Jade Vanbuis, Venkata Koka","doi":"10.1111/jsr.70145","DOIUrl":"https://doi.org/10.1111/jsr.70145","url":null,"abstract":"<p><p>Obstructive sleep apnea (OSA) diagnosis, whilst primarily reliant on the apnea-hypopnea index (AHI), inadequately reflects the complex underlying mechanisms driving respiratory events. Endotyping, by identifying key physiological traits, enables personalised treatment. In this study, we propose visualising the respiratory and arousal dynamics surrounding respiratory events, providing an overview of patient-specific patterns. We analysed 20 polysomnography recordings from patients with OSA. We calculated ventilation and ventilatory drive curves for each recording during NREM sleep. In the first method, we extracted the known endotype parameters-passive ventilation (Vpassive), active ventilation (Vactive), arousal threshold (AT) and loop gain (LG)-for each respiratory event. In a second method, apnoeas and hypopneas were time-aligned, and a global representation of ventilation and ventilatory drive curves was obtained by averaging curves across events. Using the averaged curves, the same endotype parameters were extracted for comparison. The study involved 12 females and 8 males aged 22-72 with moderate obesity (median BMI 27.5 kg/m<sup>2</sup>) and a median AHI of 37.5 events/h. According to Method 1, patients exhibited relatively high collapsibility (45.6 [36.8-56.0]% eupnoea), good muscle compensation (22.7 [2.9-36.7]% eupnoea), moderate AT (144.4 [131.0-153.5]% eupnoea) and relatively low LG (0.58 [0.54-0.74]). Physiological traits derived from Method 2 differed for Vpassive (higher Vpassive) and LG (lower LG), compared to Method 1. The correlation coefficients between the two methods are rho = 0.2, 0.9, 0.6 and 0.4 for Vpassive, Vactive, AT and LG, respectively. Whilst differing in some aspects, the visualisation provided by these two methods streamlines endotype identification and facilitates successful targeted treatment.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70145"},"PeriodicalIF":3.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608652","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":"A Selective Effect of Partial Sleep Deprivation on Metaphor Generation Among Healthy Young Adults.","authors":"Adi Lifshitz-Ben-Basat, Leah Fostick, Nira Mashal","doi":"10.1111/jsr.70139","DOIUrl":"https://doi.org/10.1111/jsr.70139","url":null,"abstract":"<p><p>Partial sleep deprivation (SD), a common phenomenon in modern life, is known to impair cognitive and linguistic processes. This study investigates its selective effect on metaphor generation, differentiating between conventional and novel metaphors. Twenty-five healthy young adults underwent two sessions involving either regular sleep or partial SD conditions. Participants completed tasks evaluating metaphor generation, cognitive flexibility (Stroop Test), and executive function (Wisconsin Card Sorting Test). Results revealed that partial SD increased the production of conventional metaphors, associated with bottom-up processes and default mode network (DMN) activation. However, it did not significantly affect novel metaphor generation, which relies on top-down cognitive control and frontoparietal network (FPN) activity. Furthermore, Stroop Test findings showed slower reaction times under incongruent conditions after partial SD, indicating reduced cognitive control. These results suggest that partial SD selectively impairs top-down processes while enhancing bottom-up retrieval, leading to a shift in metaphor generation patterns. This research highlights the distinct neural mechanisms underlying different types of metaphor generation and their differential sensitivity to partial SD, providing theoretical and psycholinguistic insights into the cognitive effects of SD.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70139"},"PeriodicalIF":3.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600846","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}