Sleep最新文献

{"title":"The toll of 24/7 societal demands: the brain health risks of shift work.","authors":"Masoud Tahmasian, Vincent Küppers","doi":"10.1093/sleep/zsae134","DOIUrl":"10.1093/sleep/zsae134","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141327857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The current status of the journal SLEEP.","authors":"David Gozal, Antoine Adamantidis, Katie L Stone, Allan I Pack","doi":"10.1093/sleep/zsae154","DOIUrl":"10.1093/sleep/zsae154","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141580810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Con: can comparing adherent to non-adherent patients provide useful estimates of the effect of continuous positive airway pressure?","authors":"Sanjay R Patel, Amy M Sawyer, Daniel J Gottlieb","doi":"10.1093/sleep/zsae063","DOIUrl":"10.1093/sleep/zsae063","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140060556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Community-based intervention for obstructive sleep apnea in the general population: a randomized controlled trial.","authors":"Longlong Wang, Qiong Ou, Guangliang Shan, Weixin Zhan, Jinhuan Huang, Qiuqiang Lin, Jianfei Li, Yibin Liu, Yuejun Xu, Chunyan Chen, Weili Chen","doi":"10.1093/sleep/zsae132","DOIUrl":"10.1093/sleep/zsae132","url":null,"abstract":"<p><strong>Study objectives: </strong>To investigate the engagement and health outcomes of community-based intervention for obstructive sleep apnea (OSA) in the general population.</p><p><strong>Methods: </strong>We conducted a 3-month randomized controlled trial in two communities in southern China. We initially screened the general population for high-risk OSA and further diagnosis using home sleep testing. Eligible participants were randomly (1:1) assigned to either a control or continuous positive airway pressure-based integrated intervention group. The primary outcomes were multimodal indicators reflecting health outcomes, including health-related quality of life (Short Form-36 [SF-36]), sleep-related symptoms, and cardiometabolic risk.</p><p><strong>Results: </strong>Of the 2484 participants screened, 1423 identified as having high-risk OSA were considered for telephone invitations to participate in the trial. Of these, 401 participants responded positively (28.2%), 279 were diagnosed with OSA, and 212 were randomized. The intervention significantly improved several domains of SF-36, including physical functioning (intergroup difference, 2.8; p = .003), vitality (2.3; p = .031), and reported health transition (6.8; p = .005). Sleep-related symptoms, including Epworth Sleepiness Scale (-0.7; p = .017), Fatigue Severity Scale (-3.0; p = .022), Insomnia Severity Index (-1.8; p < .001), and Pittsburgh Sleep Quality Index (-0.7; p = .032), also showed significant improvements. Although the intervention did not significantly alter glycolipid metabolism, ventricular function, or cardiac structural remodeling, it achieved a significant reduction in systolic (-4.5 mmHg; p = .004) and diastolic blood pressure (BP; -3.7 mmHg; p < .001).</p><p><strong>Conclusions: </strong>Community-based intervention for previously undiagnosed OSA in the general population yielded improvements in health-related quality of life, sleep-related symptoms, and BP. However, engagement in the intervention program was low.</p><p><strong>Clinical trial registration: </strong>\"Community Intervention Trial for OSA\";URL: https://www.chictr.org.cn/showprojEN.html?proj=144927;Trial identification number: ChiCTR2100054800.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141432818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pro: comparing adherent to non-adherent patients can provide useful estimates of the effect of continuous positive airway pressure on cardiovascular outcomes.","authors":"Brendan T Keenan, Ulysses J Magalang, Greg Maislin","doi":"10.1093/sleep/zsae064","DOIUrl":"10.1093/sleep/zsae064","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140060559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Swiss Primary Hypersomnolence and Narcolepsy Cohort Study: feasibility of long-term monitoring with Fitbit smartwatches in central disorders of hypersomnolence and extraction of digital biomarkers in narcolepsy.","authors":"Oriella Gnarra, Julia van der Meer, Jan D Warncke, Livia G Fregolente, Elena Wenz, Kseniia Zub, Uchendu Nwachukwu, Zhongxing Zhang, Ramin Khatami, Sigrid von Manitius, Silvia Miano, Jens Acker, Mathias Strub, Robert Riener, Claudio L A Bassetti, Markus H Schmidt","doi":"10.1093/sleep/zsae083","DOIUrl":"10.1093/sleep/zsae083","url":null,"abstract":"<p><p>The Swiss Primary Hypersomnolence and Narcolepsy Cohort Study (SPHYNCS) is a multicenter research initiative to identify new biomarkers in central disorders of hypersomnolence (CDH). Whereas narcolepsy type 1 (NT1) is well characterized, other CDH disorders lack precise biomarkers. In SPHYNCS, we utilized Fitbit smartwatches to monitor physical activity, heart rate, and sleep parameters over 1 year. We examined the feasibility of long-term ambulatory monitoring using the wearable device. We then explored digital biomarkers differentiating patients with NT1 from healthy controls (HC). A total of 115 participants received a Fitbit smartwatch. Using a adherence metric to evaluate the usability of the wearable device, we found an overall adherence rate of 80% over 1 year. We calculated daily physical activity, heart rate, and sleep parameters from 2 weeks of greatest adherence to compare NT1 (n = 20) and HC (n = 9) participants. Compared to controls, NT1 patients demonstrated findings consistent with increased sleep fragmentation, including significantly greater wake-after-sleep onset (p = .007) and awakening index (p = .025), as well as standard deviation of time in bed (p = .044). Moreover, NT1 patients exhibited a significantly shorter REM latency (p = .019), and sleep latency (p = .001), as well as a lower peak heart rate (p = .008), heart rate standard deviation (p = .039) and high-intensity activity (p = .009) compared to HC. This ongoing study demonstrates the feasibility of long-term monitoring with wearable technology in patients with CDH and potentially identifies a digital biomarker profile for NT1. While further validation is needed in larger datasets, these data suggest that long-term wearable technology may play a future role in diagnosing and managing narcolepsy.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140319183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bidirectional associations between the duration and timing of nocturnal sleep and daytime naps in adolescents differ from weekdays to weekends.","authors":"Ruth L F Leong, Liang Tian, Nicole Yu, Teck Boon Teo, Ju Lynn Ong, Michael W L Chee","doi":"10.1093/sleep/zsae147","DOIUrl":"10.1093/sleep/zsae147","url":null,"abstract":"<p><strong>Study objectives: </strong>Previous studies examining bidirectional relationships between nocturnal sleep and napping have focused on sleep duration, leaving a gap in our understanding of how sleep timing contributes. Here, we assessed the duration and timing for night sleep and daytime naps, to evaluate how the previous night's sleep influences the next day's napping, and how napping influences same-night nocturnal sleep.</p><p><strong>Methods: </strong>We analyzed sleep diary and actigraphy data from 153 teens (males = 43.8%, mean age = 16.6 years). Participants who never napped were excluded. Nocturnal sleep-nap relationships were investigated using logistic and linear regression models separately for weekdays and weekends.</p><p><strong>Results: </strong>Participants napped an average of 2.3 times a week. 167 school day naps and 107 weekends were recorded. Naps were on average 82.12 ± 53.34 minutes and the average nap onset was 14:58 ± 3.78 hours. Their duration, start and end times did not significantly differ between weekdays and weekends. Nocturnal sleep duration did not predict next-day nap occurrence or duration. However, on school days, earlier wake times significantly increased the likelihood of napping that day, and advanced nap timing. On weekends, later bedtimes and wake times delayed nap timing. On school days, napping longer than one's average shortened nocturnal sleep whereas on weekends, waking from a nap later than one's average delayed bedtimes.</p><p><strong>Conclusions: </strong>Early wake times increase the likelihood of napping and advance the time of a nap that day. Naps may be detrimental to the same night's sleep only if they are long and occur late, as these can delay bedtimes and shorten nocturnal sleep duration, especially on school days.</p><p><strong>Clinical trials: </strong>The Cognitive and Metabolic Effects of Sleep Restriction in Adolescents (NFS4), https://clinicaltrials.gov/study/NCT03333512, ID: NCT03333512. Investigating Preferred Nap Schedules for Adolescents (NFS5), https://clinicaltrials.gov/study/NCT04044885, ID: NCT04044885.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141470834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why harmonizing cohorts in sleep is a good idea and the labor of doing so?","authors":"Sarah Appleton, Jenny Theorell-Haglöw","doi":"10.1093/sleep/zsae129","DOIUrl":"10.1093/sleep/zsae129","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141318312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impaired cognition in narcolepsy: clinical and neurobiological perspectives.","authors":"Christopher A Cano, Brian T Harel, Thomas E Scammell","doi":"10.1093/sleep/zsae150","DOIUrl":"10.1093/sleep/zsae150","url":null,"abstract":"<p><p>In addition to well-known symptoms such as sleepiness and cataplexy, many people with narcolepsy have impaired cognition, reporting inattention, poor memory, and other concerns. Unfortunately, research on cognition in narcolepsy has been limited. Strong evidence demonstrates difficulties with sustained attention, but evidence for executive dysfunction and impaired memory is mixed. Animal research provides some insights into how loss of the orexin neurons in narcolepsy type 1 may give rise to impaired cognition via dysfunction of the prefrontal cortex, and cholinergic and monoaminergic systems. This paper reviews some of these clinical and preclinical findings, provides a neurobiological framework to understand these deficits, and highlights some of the many key unanswered questions.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141470835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep as a contributor to socioeconomic disparities in hypertension: The Midlife in the United States (MIDUS II) Study.","authors":"Jasmine Ko Aqua, Olivia Barnum, Dayna A Johnson","doi":"10.1093/sleep/zsae142","DOIUrl":"10.1093/sleep/zsae142","url":null,"abstract":"<p><strong>Study objectives: </strong>Hypertension is highly prevalent and is a major risk factor for cardiovascular disease. There is a higher burden of hypertension among individuals of lower socioeconomic status (SES), yet the role of sleep in understanding socioeconomic disparities in hypertension is unclear. We investigated whether sleep quality is a partial mediator of the association between SES and hypertension.</p><p><strong>Methods: </strong>We used data from the Midlife in the United States II Study, 2004-2009 (n = 426). Analyses were conducted in 2023. Participants underwent 7-day actigraphy and clinical assessments. Sleep quality measures included actigraphy-defined wakefulness after sleep onset (WASO) and sleep efficiency. Hypertension was measured via three consecutive blood pressure readings, and SES was measured via educational attainment. Models were fit adjusting for age, gender, race, body mass index, and perceived stress.</p><p><strong>Results: </strong>Participants had a mean age of 53.5 years (SD = 12.4) and 41.0% were African American. The prevalences of poor WASO (>30 minutes), low sleep efficiency (<85%), and hypertension were 77.7%, 67.1%, and 61.0%, respectively. Education was not associated with hypertension. However, individuals with low vs. high sleep efficiency had 24% higher prevalence of hypertension (aPR = 1.24, 95% CI: 1.02 to 1.51), higher systolic blood pressure (aβ = 4.61, 95% CI: 0.69 to 8.53), and higher diastolic blood pressure (aβ = 2.50, 95% CI: 0.10 to 4.89). Education was not significantly associated with sleep after adjustment. There was no evidence of sleep mediating the SES-hypertension relation.</p><p><strong>Conclusions: </strong>Effective interventions to lower hypertension prevalence should consider targeting sleep quality. Future research should explore the intersectionality of SES and race in hypertension.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141470836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}