Sleep Health最新文献

{"title":"Data-driven derivation of a multidimensional sleep health framework in adolescents.","authors":"Casandra C Nyhuis, Pura Ballester-Navarro, Susan L Calhoun, Jason Liao, Alexandros N Vgontzas, Edward O Bixler, Duanping Liao, Meredith L Wallace, Julio Fernandez-Mendoza","doi":"10.1016/j.sleh.2026.08.011","DOIUrl":"10.1016/j.sleh.2026.08.011","url":null,"abstract":"<p><strong>Objectives: </strong>Multidimensional sleep health captures the 24-hour experience of sleep as regularity, satisfaction, alertness, timing, efficiency, and duration. However, most evidence comes from adults. Adolescents have unique sleep needs that may not be fully represented. This study aimed to empirically identify and validate dimensions of adolescent sleep health and evaluate methods relevant to their assessment.</p><p><strong>Methods: </strong>We analyzed subjective and objective sleep measures from 347 adolescents in the Penn State Child Cohort (16.3±2.2 years; 45.8% female; 22.2% race and ethnic minority). Exploratory factor analysis was conducted in a random 40% subsample to identify latent dimensions of self-reported, actigraphy, and polysomnography measures, followed by confirmatory factor analysis in the remaining 60% to test model validity.</p><p><strong>Results: </strong>Exploratory factor analysis identified 6 dimensions: Breathing, Efficiency, Duration, Regularity/variability, Satisfaction, and Timing, collectively referred to as the BEDReST framework, explaining 63% of the variance. Confirmatory factor analysis of individual factors within the 6-factor structure demonstrated good to excellent fit (Comparative Fit Index = 0.95-1.00; Tucker-Lewis Index = 0.86-1.00; Root Mean Square Error of Approximation = 0.06-0.15; Standardized Root Mean Square Residual < 0.08). All dimensions, except Satisfaction, included objective measures.</p><p><strong>Conclusions: </strong>We empirically derived and validated 6 dimensions of adolescent sleep health, the BEDReST framework, using a multimethod approach. This approach highlighted the importance of including objective sleep data to comprehensively capture adolescent sleep health. The BEDReST framework extends existing models by incorporating sleep-disordered breathing and provides a foundation for refining the conceptualization and measurement of sleep health during adolescence.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13555523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148913710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep problems among Indigenous peoples: Scoping review and global perspectives.","authors":"Victoria Chechulina, Kiyan Sadeghi Janbahan, Jean-Philippe Chaput, Saverio Stranges","doi":"10.1016/j.sleh.2026.08.012","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.08.012","url":null,"abstract":"<p><p>Indigenous communities face disparities in sleep outcomes, which may contribute to broader health inequities. Existing reviews of Indigenous sleep health adopt a regional focus or limit attention to specific sleep disorders. The objective of this scoping review was to describe patterns of sleep problems and sleep health in Indigenous peoples globally. MEDLINE, Embase, and Web of Science were searched from inception to February 25, 2025. Any studies that described the prevalence of a sleep problem in an Indigenous sample were included. A total of 47 studies were included in the review, with sample size ranging from 50 to 810,168. Most studies were conducted in community settings (85%), with self-report questionnaires being the most common method used to assess sleep problems (83%). Prevalence estimates of sleep problems among Indigenous samples ranged widely, with Indigenous communities having generally higher prevalence of sleep problems relative to non-Indigenous comparator groups. Socioeconomic deprivation, housing conditions, mental health comorbidities, behavioral factors, and systemic barriers to health care access were consistently reported as factors associated with sleep health. The findings of this review highlight a disproportionate burden of sleep problems as well as sleep health disparities in Indigenous communities around the world. PROSPERO: CRD420251018819.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148913792","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 timing regulates mood: A multilevel-EEG study of daily life.","authors":"Róbert Pierson-Bartel, Péter Przemyslaw Ujma","doi":"10.1016/j.sleh.2026.08.009","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.08.009","url":null,"abstract":"<p><strong>Objectives: </strong>Sleep and mood are homeostatically regulated systems essential for mental and physical health. Understanding how sleep timing and mood dynamically influence each other, and which individual traits moderate this coupling, can clarify mechanisms of mood regulation. Our objective was to examine bidirectional associations between sleep and daily mood under naturalistic conditions using objective sleep measurements and to identify personality and psychiatric traits that moderate these relationships.</p><p><strong>Methods: </strong>Data came from the Budapest Sleep, Experiences and Traits Study, a 7-day observational study of 258 healthy adults (1712 nights). Objective sleep was recorded using Dreem2 EEG headbands, and subjective sleep quality was assessed by the Groningen Sleep Quality Scale. Daily mood was measured with the Positive and Negative Affect Schedule. Bidirectional multilevel models tested within-person associations between affect and sleep, while random slopes models examined individual differences.</p><p><strong>Results: </strong>A robust negative feedback loop emerged between sleep timing and positive affect: higher evening positive affect predicted later sleep onset (r= 0.13, P<.001), while later sleep onset predicted lower next-day positive affect (r= -0.17, P<.001). This bidirectional link was absent for negative affect and objective sleep quality. Trait activity (r = -0.21), extraversion (r = -0.29), and conscientiousness (r = -0.19) amplified the effect, whereas neuroticism (r = 0.17) and alexithymia (r = 0.18) attenuated it.</p><p><strong>Conclusions: </strong>Sleep timing, rather than sleep quality, plays a central role in daily mood regulation through a homeostatic feedback mechanism. Personality and affective traits shape this loop, highlighting sleep timing as a potential target for mood stabilization.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148913747","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":"Long-term trajectories of insomnia and their lifestyle and health correlates.","authors":"Jie Guo, Linda L Magnusson Hanson, Torbjörn Åkerstedt, Anna Karin Hedström","doi":"10.1016/j.sleh.2026.08.002","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.08.002","url":null,"abstract":"<p><strong>Objectives: </strong>Insomnia is highly prevalent in the general population. We aimed to identify long-term insomnia trajectories, examine baseline predictors of trajectory membership, and assess how lifestyle factors and health outcomes evolve across these trajectories.</p><p><strong>Methods: </strong>Data were obtained from the Swedish Longitudinal Occupational Survey of Health, including 15,807 participants with repeated sleep assessments collected biennially between 2010 and 2018. Latent class trajectory modeling identified 4 distinct insomnia trajectories. Multinomial logistic regression examined baseline predictors of trajectory membership, and repeated-measures regression models assessed longitudinal associations with lifestyle factors and somatic and psychiatric morbidity.</p><p><strong>Results: </strong>Four trajectories were identified as follows: low and stable, increasing, decreasing, and persistently high insomnia probability. Compared with the low and stable trajectory, all higher-risk trajectory groups at baseline consisted of a higher proportion with female sex, younger age, lower physical activity, higher body mass index, and a higher prevalence of sleep apnea and neurological and psychiatric disorders. During follow-up, body mass index increased more steeply for those in the increasing and persistently high trajectories, whereas physical activity increased in the decreasing trajectory. Individuals with persistently high insomnia trajectory also showed a more rapid increase in psychiatric disorders and sleep duration compared to those who remained free of disease.</p><p><strong>Conclusions: </strong>Higher-risk insomnia trajectories are associated with adverse lifestyle profiles and increasing morbidity over time, whereas decreasing insomnia probability is accompanied by increasing physical activity. These findings highlight the dynamic and heterogeneous nature of insomnia and the relevance of lifestyle factors and evolving morbidity in long-term insomnia patterns.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867338","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":"Association of sleep duration, lifestyle habits, and motor vehicle accident mortality-A prospective cohort study.","authors":"Chun-Wei Wu, Cheng-Wei Chan, Min-Kuang Tsai, Thu Win Kyaw, Chi-Pang Wen","doi":"10.1016/j.sleh.2026.06.006","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.06.006","url":null,"abstract":"<p><strong>Objectives: </strong>While insufficient sleep is known to contribute to motor vehicle accident (MVA) mortality, limited research has focused on the impact of self-reported sleep duration and quality. This study aims to investigate the relationship between sleep duration, sleep quality, and MVA mortality.</p><p><strong>Methods: </strong>In a cohort of 482,507 participants aged 20 years or older, medical screenings were conducted from 1996 to 2017. Sleep characteristics, including self-reported duration, quality, and sleeping pill use, were assessed via self-reported questionnaires. MVA mortality was identified using International Classification of Diseases-9 and ICD-10 codes. Cox proportional hazards models were applied to calculate hazard ratios (HRs) for MVA mortality.</p><p><strong>Results: </strong>There were 37,541 deaths, including 791 due to accidents. Approximately 70% of participants reported sleeping 6-8 hours per night, while 20.2% reported 4-6 hours, 1.2% less than 4 hours, and 8.7% more than 8 hours. After adjusting for covariates, participants with a shorter sleep duration (4-6 hours) had a 30% increased risk of MVA mortality compared with those with 6-8 hours (HR: 1.30; 95% CI: 1.09-1.55). Those with sleep durations exceeding 8 hours had a similar 31% increase in risk (HR: 1.31; 95% CI: 1.05-1.64). This risk was further elevated among smokers, frequent alcohol drinkers, and sleeping pill users.</p><p><strong>Conclusions: </strong>Both self-reported shorter sleep durations (less than 6 hours) and longer sleep durations (more than 8 hours) are associated with elevated MVA mortality risk, forming a U-shaped relationship. This risk is amplified among smokers, frequent alcohol consumers, and sleeping pill users.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867277","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":"Does the age interaction reflect underweight-or a changing insomnia phenotype?","authors":"Fei Yang, Haoyang Hu","doi":"10.1016/j.sleh.2026.08.003","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.08.003","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867294","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":"Associations between sleep, cognitive function, and work performance among rotating shift and night-shift healthcare workers: A systematic review.","authors":"Isaac Nuako, Emmanuel Frimpong, Thien Thanh Dang-Vu","doi":"10.1016/j.sleh.2026.07.013","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.07.013","url":null,"abstract":"<p><p>Rotating shift work, including night shifts, disrupts circadian rhythms and the sleep-wake cycle, contributing to sleep disturbances, cognitive impairment, and increased medical errors among healthcare workers. We evaluated associations between sleep quality and quantity, rotating shift work characteristics, cognitive function, and work performance among healthcare workers, and to identify moderating factors influencing these relationships in a systematic review. Six databases (PubMed, EMBASE, Scopus, Web of Science, Cochrane Library, and PsycINFO) and Google Scholar were searched from inception to April 30, 2026. Eligible experimental or observational studies were published in English and assessed sleep, cognitive functions, or work performance in rotating shift healthcare workers. Risk of bias was assessed using the Newcastle-Ottawa Scale, RoB 2, and ROBINS-I V2 tools. Findings were synthesized narratively. We included 59 studies involving 17,660 participants. Poor sleep quality affected 52% to 90% of rotating night shift healthcare workers and was associated with impaired attention (50% higher at night vs. day), memory (OR = 1.86), medical errors (OR = 1.78-2.1), and slowed reaction time after 6 to 7 consecutive nights (comparable to BAC 0.05%). Counterclockwise and rapidly rotating schedules were associated with 1.3-hour less sleep, 44% greater attentional problems, and 36% to 50% greater work-life interference than clockwise rotation. Limiting shifts to ≤16 hours reduced attentional failures by 50%, while scheduled 30-minute naps reduced sleepiness (d = 0.43) and improved cognition (d = 0.23-0.33). Overall, rotating shift and night work substantially impair sleep, cognition, and occupational functioning among healthcare workers. Clockwise rotation, slower rotation, scheduled naps, and limiting extended shifts may mitigate these impairments. PROSPERO REGISTRATION: CRD420251128550.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867349","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":"Differential impact of school start times: Exploring heterogeneous treatment effects of delaying school start times on sleep and BMI in the START study.","authors":"Emma Billmyer, Ashley Petersen, Darin J Erickson, Kyla Wahlstrom, Melissa N Laska, Rachel Widome","doi":"10.1016/j.sleh.2026.07.016","DOIUrl":"10.1016/j.sleh.2026.07.016","url":null,"abstract":"<p><strong>Purpose: </strong>We aimed to demonstrate a method for identifying subgroups that may have experienced heterogeneous effects of a delayed high school start time policy. This approach could suggest how the implementation of a policy might be prioritized.</p><p><strong>Methods: </strong>In the START study, students (n = 2230) from 5 schools in the Twin Cities, Minnesota metropolitan area were followed over 3 waves of annual data collection. All schools started early (7:30 or 7:45 am) at baseline. Two \"policy change schools\" had set start times later by roughly 1 hour by follow-up 1; 3 \"comparison schools\" maintained their early start time throughout the study. We employed generalized linear mixed model trees, a data-driven method that detects potential treatment-subgroup interactions while accounting for the clustered nature of the data. The stability of variable selection was assessed using a subsampling approach.</p><p><strong>Results: </strong>Among Asian and Black students whose parents did not complete college (a subgroup identified by the generalized linear mixed model trees), those who attended policy change schools gained over 1 hour and 15 minutes of sleep per night, relative to comparison school students. The other subgroups had lesser treatment effects. With body mass index, minimal differences were observed between subgroups identified by generalized linear mixed model trees.</p><p><strong>Conclusion: </strong>We showed how the generalized linear mixed model trees method can enable identification of groups that may experience differing impacts from a population-based policy. However, this analysis was meant primarily as a demonstration and the results should be seen as preliminary and hypothesis generating, due to the small number of participants in some subgroups.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13523076/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148841671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Sleep Health Times","authors":"","doi":"10.1016/S2352-7218(26)00151-8","DOIUrl":"10.1016/S2352-7218(26)00151-8","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Page 714"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148647531","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":"Family rituals, sleep, and well-being in Moemoeā: A Māori-led intervention","authors":"Justine Camp (PhD),&nbsp;T. Russell-Camp (BMVA),&nbsp;T. Ellison (MA),&nbsp;S. MacDonald (PGDipTeach),&nbsp;L. Fangupo (PhD),&nbsp;J.J. Haszard (PhD),&nbsp;R. Richards (PhD),&nbsp;R.W. Taylor (PhD)","doi":"10.1016/j.sleh.2026.05.003","DOIUrl":"10.1016/j.sleh.2026.05.003","url":null,"abstract":"<div><h3>Objectives</h3><div>While sleep inequities exist worldwide, interventions to improve sleep and well-being have rarely been developed through an indigenous lens. This article outlines the development of a Māori-led (indigenous people of Aotearoa New Zealand) intervention aiming to improve sleep in families with pēpi (infants) aged 2-12 months and thus well-being in the wider whānau (family).</div></div><div><h3>Methods</h3><div>Interviews were held with 20 experts in Māori tikanga (customs) and te reo (language) and 20 whānau regarding what helped ensure healthy sleep for their whānau. Interviews were transcribed and analyzed thematically.</div></div><div><h3>Results</h3><div>Interviews yielded a number of themes including 1) that ritual plays a crucial role in fostering connection, cultural identity, and well-being in whānau; 2) that ritual assisted movement between transitions such as wake to sleep through the lens of whakanoa (a cleansing of restrictions as move from one state to another); 3) that water-based activities in particular facilitate the transition to sleep; 4) the importance of intergenerational knowledge as sources of support; and 5) that shared meals prior to sleep symbolize Manaaki (hospitality) and connectedness as well as nourishment.</div></div><div><h3>Conclusions</h3><div>Our findings suggest that culturally grounded approaches that honor the lived realities of whānau may help foster healthy sleep patterns and enhance overall well-being. Prioritizing cultural relevance and intergenerational wisdom has the potential to lead to more effective and meaningful approaches to supporting the sleep and well-being of whānau.</div></div><div><h3>Clinical trial registration</h3><div>Australian New Zealand Clinical Trials Registry (anzctr.org.au, AACTRN12622000921785, 28 June 2022).</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 680-688"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148240359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}