Sleep Health最新文献

{"title":"Tracking sleep in ultramarathon male runners before, during, and after a mountain race: Actigraphic evidence of sleep restriction.","authors":"Natália Vilela Silva Daniel, Diogo Thimoteo da Cunha, Taisa Belli, Andrea Maculano Esteves","doi":"10.1016/j.sleh.2026.07.002","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.07.002","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to analyze athletes' sleep before, during, and after a race using actigraphy.</p><p><strong>Methods: </strong>We evaluated 15 male athletes (45.1 ± 10.5 years), who participated in Brazil 135 Ultramarathon (135 km: n = 4; 217 km: n = 11). Wristwatch actigraph measured sleep before (7 days), during, and after the race (7 days). Sleep data were available for 13 athletes.</p><p><strong>Results: </strong>Actigraphy indicated short sleep duration and suboptimal sleep parameters throughout the pre- and post-race periods, since most slept less than 8 hours, had low sleep efficiency, and high Wake After Sleep Onset. Mean total sleep time during the race was 96.67 ± 88.71 minutes and was not correlated with finish time (P = .81; r = 0.10; 95% CI -0.59 to 0.90). Except for one athlete, all reported symptoms attributed to insufficient sleep during the race, such as sleepiness (n = 5), loss of balance (n = 4), and hallucinations (n = 4). Athletes woke up later after the race compared with pre-race timepoints (P < .05). Nonsignificant trends showed more sleep the night before the race (432.2 minutes) compared with the prior week (409.8 minutes; mean difference 22.5 minutes; -74.3 to 29.3; P = .058), and greater total sleep time during the post-race week (461.4 minutes; 434-488) than on the night after (447.4 minutes; mean difference 14.0 minutes; -64.4 to 92.4; P = .058).</p><p><strong>Conclusions: </strong>Ultramarathon runners exhibited short sleep duration, reduced sleep during competition, and later wake-up times afterward. Nonsignificant trends suggested increased sleep on pre-race night and greater total sleep time during the post-race week compared with the first post-race night, which may reflect delayed recovery of sleep following the event.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814468","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":"Day-level associations of nicotine and cannabis vaping and co-vaping with sleep duration and quality among young adults: A smartphone-based daily diary study.","authors":"Wei Li, Thi Phuong Thao Tran, Suchitra Krishnan-Sarin, Pamela M Ling, Nhung Nguyen","doi":"10.1016/j.sleh.2026.07.006","DOIUrl":"10.1016/j.sleh.2026.07.006","url":null,"abstract":"<p><strong>Objective: </strong>Nicotine and cannabis vaping are increasingly prevalent among young adults, and aiding sleep is a common reason for cannabis use. This study examined relationships between daily nicotine/cannabis vaping patterns and sleep.</p><p><strong>Methods: </strong>From 2023 to 2024, 111 California young adults (aged 18-29; mean age = 23.9±3.0; 64% female; 31.5% non-Hispanic White) who vaped nicotine/cannabis ≥20 days/month completed 30 consecutive days of smartphone-based surveys. Self-reported sleep outcomes included 1) sleep duration (inadequate <7 versus adequate ≥7 hours) and 2) sleep quality (0=terrible to 10=excellent). Daily vaping patterns were non-vaping, nicotine-only vaping, cannabis-only vaping, or same-day co-vaping. Generalized mixed-effects models examined day-level associations between vaping patterns and sleep that night, adjusting for other substance use and baseline covariates.</p><p><strong>Results: </strong>Of 2147 daily assessments, 51.7% reported inadequate sleep; mean sleep quality was 6.1±2.1. Nicotine-only vaping was most frequently reported (42.5% of the days), followed by same-day co-vaping (32.1%), non-vaping (16.1%), and cannabis-only vaping (9.3%). Nicotine-only vaping days had greater odds of inadequate sleep versus non-vaping (OR=1.40, 95%CI: 1.01-1.94) and versus cannabis-only days (1.93 [1.31-2.85]). Days with same-day co-vaping had greater odds of inadequate sleep compared with cannabis-only vaping (1.50 [1.01-2.23]). Associations between sleep quality and daily vaping patterns were not statistically significant.</p><p><strong>Conclusions: </strong>Nicotine vaping was associated with inadequate sleep duration compared to non-vaping or cannabis-only vaping. Despite perceptions of cannabis as a sleep aid, cannabis vaping did not improve sleep quality compared to non-vaping. These findings highlight the need for educational efforts or interventions addressing sleep health among young adults who vape nicotine and/or cannabis.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13505512/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814290","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":"Daily associations between the physical environment and sleep among a diverse, national sample of young adults.","authors":"Adwoa Dadzie, David A Reichenberger, Yuqi Shen, Lindsay Master, Angel I M Collie, Gina Marie Mathew, Timothy R Brick, Lauren Hale, Anne-Marie Chang, Orfeu M Buxton","doi":"10.1016/j.sleh.2026.07.010","DOIUrl":"10.1016/j.sleh.2026.07.010","url":null,"abstract":"<p><strong>Objectives: </strong>We examined daily between- and within-person associations of the physical sleep environment with actigraphic and self-reported sleep.</p><p><strong>Methods: </strong>Young adults in the Future of Families \"Young Adult Sleep Study\" (n=372; 60% F) self-reported daily for 2 weeks whether 3 sleep environment factors (i.e., temperature, light, and noise) disrupted the previous night's sleep while wearing wrist-actigraphs. Multilevel models examined between- and within-person associations between environmental factors and actigraphic sleep timing, duration, wake after sleep onset, sleep maintenance efficiency, and self-reported sleep quality.</p><p><strong>Results: </strong>Environmental factors were associated with sleep health in between-person and/or within-person findings. Between-person: A \"too hot\" environment was associated with greater wake after sleep onset (b = 9.93 minutes, 95% CI [3.64,16.21], P = .006) and lower sleep maintenance efficiency (b = -1.78%, 95% CI [-3.01, -0.54], P = .010). \"Too noisy inside\" was associated with lower sleep maintenance efficiency (b = -2.97%, 95% CI [-5.24, -0.70], P = .03) and 88% decreased odds of good sleep quality (OR = 0.12, 95% CI [0.02, 0.54], P = .006). A \"too bright\" environment was associated with 90% decreased odds of good sleep quality (OR = 0.10, 95% CI [0.01, 0.61], P = .010) and later sleep onset (b = 111.05 minutes, 95% CI [26.67, 195.42], P = .010), midpoint (b = 122.95 minutes, 95% CI [41.22, 204.69], P = .010), and offset (b = 131.54 minutes, 95% CI [39.7, 223.40], P = .010). Within-person: A \"too hot\" environment was associated with lower sleep maintenance efficiency (b = -0.79%, 95% CI [-1.13, -0.45], P<.001) and 45% decreased odds of good sleep quality (OR = 0.55, 95% CI [0.39, 0.79], P = .001) that same night.</p><p><strong>Conclusions: </strong>Characteristics of the physical sleeping environment (temperature, brightness, and noisiness) were associated with later sleep timing and worse sleep quality but not sleep duration. Future research should examine mechanisms by which environmental factors may affect sleep health.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814276","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":"Cannabis use and associated sleep-disordered breathing among US adults.","authors":"Tyler J Gallagher, Matthew E Lin, Ian Kim, Ziva D Cooper, Sebastian M Jara, Eric J Kezirian","doi":"10.1016/j.sleh.2026.07.003","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.07.003","url":null,"abstract":"<p><strong>Study objectives: </strong>As sleep-disordered breathing has become more prevalent, so has cannabis use due to legalization across many regions of the United States of America (USA). This study sought to determine if there is an association between cannabis use and signs of sleep-disordered breathing.</p><p><strong>Methods: </strong>This was a cross-sectional study of a sample of 14,485 US adults from the 2017 to 2018 Behavioral Risk Factor Surveillance System (BRFSS). Data from state-administered telephone surveys were used. We utilized survey-weighted multivariable logistic regression to investigate the association between self-reported frequency of cannabis use with witnessed apnea during sleep and reported loud snoring.</p><p><strong>Results: </strong>Cannabis use and signs of sleep-disordered breathing were present in 5.5% and 44.7%, respectively, of the cohort. Compared to no cannabis use, non-regular use (1-15 days of use in last 30) was associated with witnessed apnea during sleep (OR 1.41; 95%CI 1.05, 1.86), loud snoring (1.26; 1.01, 1.57), and either sign (1.33; 1.07, 1.65). Regular use of cannabis (16-30 days of use) was associated with witnessed apnea during sleep (1.73; 1.27, 2.33), loud snoring (1.68; 1.32, 2.14), and either sign (1.82; 1.43, 2.33). Additionally, each additional day per month of cannabis use was associated with increased odds of reported witnessed apnea during sleep, reported loud snoring, and either sleep-disordered breathing sign.</p><p><strong>Conclusions: </strong>Cannabis use was associated with a greater odds of signs of sleep-disordered breathing. More research is required to examine the causality of this relationship and to determine if the potential effect is mediated by the method of cannabis use.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814306","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":"Hello darkness, my old friend: Electricity loadshedding effects on sleep and studying habits in South African university students.","authors":"Joshua G Davimes, Karine Scheuermaier","doi":"10.1016/j.sleh.2026.07.008","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.07.008","url":null,"abstract":"<p><strong>Objectives: </strong>Electricity loadshedding (planned power outages) has known impacts on the economy and people's everyday lives. Loadshedding removes control over lighting and room temperature, and backup generator use increases noise pollution, all of which may disrupt sleep. University students, already prone to poor sleep and high academic pressure, could be particularly vulnerable. We explored sleep characteristics by access to alternative power, and factors associated with self-reported changes in sleep due to loadshedding, in South African university students during 2023-the worst year in the country's loadshedding history.</p><p><strong>Methods: </strong>A self-administered, cross-sectional, online questionnaire was used and distributed to all students registered at the University of the Witwatersrand, South Africa. A total of 1124 students (mean age 22, 72% female) responded (3% of university population).</p><p><strong>Results: </strong>Most students (73%) reported loadshedding affected sleep, with 80% reporting worse sleep. The most frequent disruptions were increased sleep fragmentation (51%) and onset latency (32%). Those with worse sleep more often reported a drop in grades than those with no change (59% vs. 38%, P = .015). Access to alternative power (40% of students) was associated with nearly 60% reduced odds of worse sleep in multivariable logistic regression adjusted for age, sex, degree level, accommodation, ancestry, and faculty (OR [95% CI] = 0.43 [0.32-0.56]).</p><p><strong>Conclusions: </strong>Loadshedding is associated with poorer self-reported sleep, studying habits, and grades, and may be linked to increased risk for mental and physical health problems. Solutions to mitigate its effects on sleep and safeguard health are needed.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799823","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":"Delivery of interventions across the socioecological model to improve adolescent sleep: A mixed-methods systematic review.","authors":"Catriona Ewart, Seamas Farrell, Joanna Inchley, Anne Martin, Sharon A Simpson","doi":"10.1016/j.sleh.2026.07.009","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.07.009","url":null,"abstract":"<p><p>Adolescent sleep health is influenced by a complex interplay of intrapersonal, interpersonal, institutional, community, and policy factors, yet most interventions target individual behavior alone, limiting population-level impact. This mixed-methods systematic review examined the socioecological levels addressed by adolescent sleep interventions, their effectiveness in improving sleep quality and duration, and the barriers and facilitators affecting feasibility, acceptability, and implementation. Five databases(2003-2025) were searched for studies involving adolescents aged 10 to 19 years, participating in interventions aimed at preventing poor sleep or improving sleep quality and/or duration. A segregated convergent design was used to synthesize quantitative data assessing effectiveness with vote-counting and qualitative data thematically analyzed in parallel. Findings were narratively reported. Fifty-three studies met the inclusion criteria. Most (72%) targeted a single socioecological level, primarily intrapersonal components such as sleep education and therapeutic approaches. Interventions delivered across one (n = 37), two (n = 10), and three levels (n = 6) showed the most consistent improvements in sleep duration when targeting two levels, with significant effects observed in 70%, 80%, and 50% of studies, respectively. A similar pattern was observed for sleep quality, with significant improvements reported in 67%, 80%, and 25% of interventions, respectively. Qualitative synthesis identified several cross-cutting influences on implementation, including intervention burden, the importance of personalized components, and the need for coproduction and stakeholder engagement. The findings demonstrate persistence of single-level, individually focused interventions and a limited use of multilevel approaches designed to address broader determinants of sleep health. Designing and evaluating interventions that integrate individual, interpersonal, organizational, and policy components may offer greater potential to improve adolescent sleep health at scale.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799739","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":"Use and perception of sleep technologies: A multinational study from the National Sleep Foundation.","authors":"Alexander J Erickson, Spencer A Nielson, Natalie D Dautovich, Alysa N Miller, Dongheon Lee, Joseph M Dzierzewski","doi":"10.1016/j.sleh.2026.07.004","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.07.004","url":null,"abstract":"<p><strong>Objectives: </strong>Public use and perceptions of sleep-focused technologies continue to be largely unknown in the United States and other countries. This study sought to provide population-based estimates of sleep tracker use and privacy concerns, as well as confidence in sleep-focused technologies, broadly, to improve sleep.</p><p><strong>Methods: </strong>A random, probability-based sample of 1009 U.S. adults and 1000 South Korean adults were collected through national surveys. Surveys collected demographic characteristics, sleep health characteristics, use and privacy concerns around sleep tracking technologies, and perceptions of sleep-focused technologies broadly. Descriptive and inferential statistics were calculated to test demographic differences within countries.</p><p><strong>Results: </strong>Majorities in both the U.S. (86.1%) and South Korea (91.2%) did not use sleep tracking technologies, with some demographic differences in use. A majority of Americans expressed concerns about misuse of collected data from sleep tracking devices (61.7%), while also having skepticism regarding the potential benefits of technology to support sleep health (65%). A majority of South Koreans had little to no concern about sleep tracking device data misuse (59.2%) and perceived potential benefits from sleep-focused technologies (59.7%).</p><p><strong>Conclusions: </strong>More efforts to build public trust in sleep-focused technology are needed across populations. As sleep tracking and related technologies grow more prominent, U.S. and South Korean adults may benefit from greater education on the strengths and limitations of various forms of sleep technology to support empirically guided perspectives and behaviors towards good sleep health.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799764","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":"\"You can sleep when you die\": How culture, race, gender, and migration shape sleep health among women of color in Utah.","authors":"Sharon Talboys, Clarisa Medina Poeliniz, Tumilara Aderibigbe, Ivette A Lopez, Sara E Simonsen, Robin Repta, Bobbie Bermudez, Wallace Dodds, Yeny Arones, Princess Bombyck, Doriena Lee, Kiese Mpongo, Valentine Mukundente, Jennifer Mundt, Elsie Star Prescott, Fahina Tavake-Pasi, Kamaile Tripp-Harris, Jeannette Villalta, Cathy Wolfsfeld, Kelly Baron","doi":"10.1016/j.sleh.2026.07.011","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.07.011","url":null,"abstract":"<p><strong>Background: </strong>Women of color face disproportionately high rates of cardiometabolic disease, partly due to inadequate sleep. Culturally tailored sleep health interventions are urgently needed to address these disparities. Community health workers as trusted community members offer valuable insight to inform intervention development. We sought to examine female community health worker perspectives on individual and sociocultural influences shape sleep health within African Immigrant/Refugee, Black/African American, Hispanic/Latinx(a), and Native Hawaiian or other Pacific Islander communities in Utah.</p><p><strong>Methods: </strong>Eight focus groups were conducted with 77 female community health workers, stratified by racial/ethnic community. Using Grounded Theory, we employed inductive and deductive coding and iterative analysis informed by community advisors and socio-ecological behavior change models.</p><p><strong>Results: </strong>Participants described prioritizing caregiving, family, and community obligations over sleep health, reflecting intersecting gender and occupational expectations. Perceived consequences of poor sleep included cognitive impairment, emotional dysregulation, diabetes, headaches, unsafe driving, and weight gain. \"Hustle culture\" emerged as a central theme characterizing the confluence of work, family, and community obligations compounded by racial and acculturation stressors. Sleep-related stigma and culturally rooted practices provided important context for culturally responsive interventions.</p><p><strong>Conclusion: </strong>Findings highlight how structural and cultural factors shape sleep trade-offs within communities of color and provide insight to inform the development of targeted, sleep health interventions.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799820","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":"An attorney's perspective: Sleep security-A foundational framework for justice and well-being.","authors":"Amy Sohlberg","doi":"10.1016/j.sleh.2026.08.006","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.08.006","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799737","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":"Drowsy driving prevention: Building on history, a purposeful platform, and the road ahead.","authors":"Joseph M Dzierzewski","doi":"10.1016/j.sleh.2026.08.007","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.08.007","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799825","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}