Pub Date : 2026-02-21DOI: 10.1016/j.sleh.2026.01.002
Natalie D Dautovich, Heather E Gunn, Joseph M Dzierzewski, Lauren Hale, Brant Hasler, Jared M Saletin, Wendy M Troxel, Imelda S Wong, Zackary Brown, Mary A Carskadon, Judith Owens, Rafael Pelayo, Kyla L Wahlstrom, David Gozal
Objectives: Adolescent sleep is linked to indices of health and well-being, including academic performance, physical health, mood, and safety. However, biological, psychological, and social changes make it difficult for adolescents to obtain enough quality sleep. As a result, the percentage of adolescents who achieve optimal sleep has steadily diminished for decades. Reversing this trajectory requires a multipronged approach and involvement from numerous stakeholders, including adolescents themselves. To support this need, the National Sleep Foundation sponsored a multidisciplinary Adolescent Sleep Health Conference to identify recommendations to improve adolescent sleep health in the United States and beyond.
Methods: The 2022 Adolescent Sleep Health Conference convened 22 experts (educators, administrators, parents, advocates, researchers, clinicians, and an adolescent representative) to discuss evidence related to adolescent sleep health and its intersections with health, education, athletics, transportation, and the workforce. Final recommendations reflect those generated during the Conference and additional post hoc recommendations informed by extant literature.
Results: Factors influencing adolescent sleep are present at individual, social, and societal levels. Societal factors such as school start times, entering the workforce, driving, and clock changes are linked to adolescent sleep. Improving adolescent sleep health involves integrating developmental science, family, and educational contexts into sleep health recommendations, implementing healthy school start times and adopting permanent standard time, increasing awareness of the impact on work and driving, and prioritizing sleep health equity.
Conclusions: Policy changes and prioritization across settings can increase the opportunity and likelihood of healthy sleep. Adolescents must be included as contributors to improving sleep health.
{"title":"Adolescent sleep health: Recommendations from the National Sleep Foundation.","authors":"Natalie D Dautovich, Heather E Gunn, Joseph M Dzierzewski, Lauren Hale, Brant Hasler, Jared M Saletin, Wendy M Troxel, Imelda S Wong, Zackary Brown, Mary A Carskadon, Judith Owens, Rafael Pelayo, Kyla L Wahlstrom, David Gozal","doi":"10.1016/j.sleh.2026.01.002","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.01.002","url":null,"abstract":"<p><strong>Objectives: </strong>Adolescent sleep is linked to indices of health and well-being, including academic performance, physical health, mood, and safety. However, biological, psychological, and social changes make it difficult for adolescents to obtain enough quality sleep. As a result, the percentage of adolescents who achieve optimal sleep has steadily diminished for decades. Reversing this trajectory requires a multipronged approach and involvement from numerous stakeholders, including adolescents themselves. To support this need, the National Sleep Foundation sponsored a multidisciplinary Adolescent Sleep Health Conference to identify recommendations to improve adolescent sleep health in the United States and beyond.</p><p><strong>Methods: </strong>The 2022 Adolescent Sleep Health Conference convened 22 experts (educators, administrators, parents, advocates, researchers, clinicians, and an adolescent representative) to discuss evidence related to adolescent sleep health and its intersections with health, education, athletics, transportation, and the workforce. Final recommendations reflect those generated during the Conference and additional post hoc recommendations informed by extant literature.</p><p><strong>Results: </strong>Factors influencing adolescent sleep are present at individual, social, and societal levels. Societal factors such as school start times, entering the workforce, driving, and clock changes are linked to adolescent sleep. Improving adolescent sleep health involves integrating developmental science, family, and educational contexts into sleep health recommendations, implementing healthy school start times and adopting permanent standard time, increasing awareness of the impact on work and driving, and prioritizing sleep health equity.</p><p><strong>Conclusions: </strong>Policy changes and prioritization across settings can increase the opportunity and likelihood of healthy sleep. Adolescents must be included as contributors to improving sleep health.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272461","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}
Pub Date : 2026-02-19DOI: 10.1016/j.sleh.2026.01.004
Qing Liu, Xiao-Hong Xie
{"title":"Bedtime screen use in adolescents: Unveiling social patterns or oversimplifying complexity.","authors":"Qing Liu, Xiao-Hong Xie","doi":"10.1016/j.sleh.2026.01.004","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.01.004","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146257996","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}
Pub Date : 2026-02-19DOI: 10.1016/j.sleh.2025.12.010
Emily Hokett, Patrick Lao, Benjamin D Huber, Indira C Turney, Ruijia Chen, A Zarina Kraal, Adam M Brickman, Priya Palta, Jennifer J Manly
Background: While studies have shown that non-Latinx Black and Latinx adults sleep less and more poorly than non-Latinx White adults, the cognitive consequences of poor sleep in non-Latinx Black and Latinx adults are understudied. We hypothesized that poorer quality sleep and short or long sleep durations are associated with poorer memory performance, and the strength of these associations differs by racial and ethnic group.
Method: Our analysis included non-Latinx Black, non-Latinx White, and Latinx participants across the adult lifespan recruited from the community of Northern Manhattan as a part of the Offspring study. Participants self-reported their sleep duration and quality using the Pittsburgh Sleep Quality Index. We evaluated memory with the Buschke Selective Reminding Task. We used multivariable regression to estimate associations between sleep duration and quality with delayed recall.
Results: In the overall sample, higher quality sleep was associated with better delayed recall performance. We also found linear and quadratic relationships between sleep duration and delayed recall. Taken together, higher quality sleep and adequate sleep duration were linked with better delayed recall. Stratified analyses revealed that these effects were strongest in the Latinx group but were not present among non-Latinx Black and non-Latinx White participants.
Conclusion: We observed associations between poor sleep quality and sleep duration and memory performance in Latinx adults. Future work will determine which psychosocial factors (e.g., social support, discrimination) underlie racial and ethnic sleep disparities and mediate racial and ethnic differences in the cognitive consequences of poor sleep.
{"title":"Associations between sleep and episodic memory performance in a diverse adult lifespan community-based sample: The Offspring study.","authors":"Emily Hokett, Patrick Lao, Benjamin D Huber, Indira C Turney, Ruijia Chen, A Zarina Kraal, Adam M Brickman, Priya Palta, Jennifer J Manly","doi":"10.1016/j.sleh.2025.12.010","DOIUrl":"10.1016/j.sleh.2025.12.010","url":null,"abstract":"<p><strong>Background: </strong>While studies have shown that non-Latinx Black and Latinx adults sleep less and more poorly than non-Latinx White adults, the cognitive consequences of poor sleep in non-Latinx Black and Latinx adults are understudied. We hypothesized that poorer quality sleep and short or long sleep durations are associated with poorer memory performance, and the strength of these associations differs by racial and ethnic group.</p><p><strong>Method: </strong>Our analysis included non-Latinx Black, non-Latinx White, and Latinx participants across the adult lifespan recruited from the community of Northern Manhattan as a part of the Offspring study. Participants self-reported their sleep duration and quality using the Pittsburgh Sleep Quality Index. We evaluated memory with the Buschke Selective Reminding Task. We used multivariable regression to estimate associations between sleep duration and quality with delayed recall.</p><p><strong>Results: </strong>In the overall sample, higher quality sleep was associated with better delayed recall performance. We also found linear and quadratic relationships between sleep duration and delayed recall. Taken together, higher quality sleep and adequate sleep duration were linked with better delayed recall. Stratified analyses revealed that these effects were strongest in the Latinx group but were not present among non-Latinx Black and non-Latinx White participants.</p><p><strong>Conclusion: </strong>We observed associations between poor sleep quality and sleep duration and memory performance in Latinx adults. Future work will determine which psychosocial factors (e.g., social support, discrimination) underlie racial and ethnic sleep disparities and mediate racial and ethnic differences in the cognitive consequences of poor sleep.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146259855","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}
Pub Date : 2026-02-19DOI: 10.1016/j.sleh.2026.01.003
Lionel Rayward, Daniel Green, J Paige Little
This systematic review summarizes literature relating to 3 questions of interest: (RQ1) Is partner disturbance a common phenomenon in the sleep of healthy populations? (RQ2) What is the effect of co-sleeping on sleep architecture? (RQ3) What factors moderate the effect of co-sleeping on sleep architecture? Google scholar, Scopus, NCBI, Web of Science, Cochrane Library, and PsychInfo were searched on 7 September 2025, for articles relating to each research question. Risk of bias was assessed by first author using NOS-xs tool (Carra et al., 2025). Results relating to movement concordance, sleep architecture, and continuity metrics are reported, including percentage increase across groups. All 4 studies relating to RQ1 find evidence of partner disturbance. Two of 3 studies relating to RQ2 found increased REM duration in co-sleep compared to individual sleep. Eleven studies relating to RQ3 explored factors influencing sleep architecture in co-sleep, including presence of partner with sleep disordered breathing (SDB), insomnia, and interpersonal social factors. Overall, limitations of RQ1 studies include inconsistency in actigraphy measurement, including device used, sensitivity, and activity threshold algorithm and epoch length, as well as lack of control or measurement of disturbances outside of the couple. RQ2 was hampered by a small sample size investigating differences in sleep architecture between co-sleep and alone sleep, and lack of measurement of mediating factors. In RQ3, heterogeneity in studies and design protocol hamper interpretation of findings. This review summarizes literature relating to co-sleep effects on sleep architecture and finds that no single mechanism entirely explains net effects on sleep architecture.
本系统综述总结了与3个问题相关的文献:(RQ1)伴侣干扰是健康人群睡眠中的普遍现象吗?(RQ2)共睡对睡眠结构有什么影响?(RQ3)哪些因素可以调节共睡对睡眠结构的影响?我们在2025年9月7日检索了谷歌scholar、Scopus、NCBI、Web of Science、Cochrane Library和PsychInfo与每个研究问题相关的文章。第一作者使用NOS-xs工具评估偏倚风险(Carra et al., 2025)。报告了与运动一致性、睡眠结构和连续性指标相关的结果,包括各组间的百分比增加。所有与RQ1相关的4项研究都发现了伴侣干扰的证据。与RQ2相关的3项研究中有2项发现,与单独睡眠相比,共睡时的快速眼动持续时间更长。11项与RQ3相关的研究探讨了共睡时影响睡眠结构的因素,包括伴睡呼吸障碍(SDB)、失眠、人际社会因素等。总的来说,RQ1研究的局限性包括活动仪测量的不一致,包括使用的设备、灵敏度、活动阈值算法和历元长度,以及缺乏对耦合外部干扰的控制或测量。由于调查共睡和单独睡眠之间睡眠结构差异的样本量小,以及缺乏对中介因素的测量,RQ2受到了阻碍。在RQ3中,研究的异质性和设计方案阻碍了对结果的解释。本文综述了与睡眠结构的共眠效应相关的文献,发现没有单一的机制可以完全解释睡眠结构的净效应。
{"title":"Partner disturbance in co-sleeping and effects on sleep architecture: A systematic review.","authors":"Lionel Rayward, Daniel Green, J Paige Little","doi":"10.1016/j.sleh.2026.01.003","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.01.003","url":null,"abstract":"<p><p>This systematic review summarizes literature relating to 3 questions of interest: (RQ1) Is partner disturbance a common phenomenon in the sleep of healthy populations? (RQ2) What is the effect of co-sleeping on sleep architecture? (RQ3) What factors moderate the effect of co-sleeping on sleep architecture? Google scholar, Scopus, NCBI, Web of Science, Cochrane Library, and PsychInfo were searched on 7 September 2025, for articles relating to each research question. Risk of bias was assessed by first author using NOS-xs tool (Carra et al., 2025). Results relating to movement concordance, sleep architecture, and continuity metrics are reported, including percentage increase across groups. All 4 studies relating to RQ1 find evidence of partner disturbance. Two of 3 studies relating to RQ2 found increased REM duration in co-sleep compared to individual sleep. Eleven studies relating to RQ3 explored factors influencing sleep architecture in co-sleep, including presence of partner with sleep disordered breathing (SDB), insomnia, and interpersonal social factors. Overall, limitations of RQ1 studies include inconsistency in actigraphy measurement, including device used, sensitivity, and activity threshold algorithm and epoch length, as well as lack of control or measurement of disturbances outside of the couple. RQ2 was hampered by a small sample size investigating differences in sleep architecture between co-sleep and alone sleep, and lack of measurement of mediating factors. In RQ3, heterogeneity in studies and design protocol hamper interpretation of findings. This review summarizes literature relating to co-sleep effects on sleep architecture and finds that no single mechanism entirely explains net effects on sleep architecture.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146258861","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}
Pub Date : 2026-02-06DOI: 10.1016/j.sleh.2026.01.001
Joseph M Dzierzewski, Alexander J Erickson, Spencer A Nielson, Natalie D Dautovich, Alysa N Miller
Objectives: This study sought to bolster current understanding of population-level impact of large-scale societal events through examination of reported sleep disruption surrounding the 2024 U.S. presidential election and demographic factors associated with these disruptions.
Methods: Data collected by National Sleep Foundation from a nationally representative random sample of 991 U.S. adults were analyzed. The study survey included questions on election-related sleep disruptions, sleep quality, and sleep duration. The results were compared to a previously analyzed nationally representative random sample (N = 1364) that examined the same trends prior to the election.
Results: In the immediate aftermath of the 2024 U.S. presidential election, 17% of U.S. adults endorsed experiencing a negative impact on their sleep. Significant group differences were found based on political affiliation, education, and other demographics, and differences between pre- and post-election samples were observed, with significantly less Republican (χ2 = 39.12, p < .001) and Independent (χ2 = 5.59, p = .02) individuals and significantly more Democrat-affiliated individuals (χ2 = 22.54, p < .001) reporting post-election.
Conclusions: Following the 2024 U.S. presidential election, a significant number of U.S. adults reported a negative impact on their sleep health. These results were consistent with other investigations that showed the effects of stressful, large-scale societal events on sleep. These negative impacts were particularly observed in specific sub-populations. Future studies and public health action are needed to better understand and address disruptions to sleep and sleep health that can accompany major sociopolitical events.
目的:本研究旨在通过研究2024年美国总统大选前后睡眠中断的报道以及与这些中断相关的人口因素,加强目前对大规模社会事件对人口水平影响的理解。方法:国家睡眠基金会从991名具有全国代表性的美国成年人随机抽样中收集数据进行分析。这项研究调查的问题包括与选举有关的睡眠中断、睡眠质量和睡眠持续时间。该结果与之前分析的具有全国代表性的随机样本(N = 1364)进行了比较,该样本在选举前调查了相同的趋势。结果:在2024年美国总统大选刚刚结束后,17%的美国成年人承认他们的睡眠受到了负面影响。根据政治派别、教育程度和其他人口统计数据,发现了显著的群体差异,选举前和选举后的样本之间存在差异,共和党(χ2 = 39.12, p < .001)和独立(χ2 = 5.59, p = .02)的个体显著减少,民主党(χ2 = 22.54, p < .001)的个体显著增加。结论:在2024年美国总统大选之后,相当多的美国成年人报告说他们的睡眠健康受到了负面影响。这些结果与其他研究结果一致,这些研究显示了压力大的大型社会活动对睡眠的影响。这些负面影响在特定的亚种群中尤为明显。未来的研究和公共卫生行动需要更好地理解和解决可能伴随重大社会政治事件的睡眠和睡眠健康中断问题。
{"title":"Sleep health across a major sociopolitical event: National Sleep Foundation surveys before and after the 2024 U.S. presidential election.","authors":"Joseph M Dzierzewski, Alexander J Erickson, Spencer A Nielson, Natalie D Dautovich, Alysa N Miller","doi":"10.1016/j.sleh.2026.01.001","DOIUrl":"https://doi.org/10.1016/j.sleh.2026.01.001","url":null,"abstract":"<p><strong>Objectives: </strong>This study sought to bolster current understanding of population-level impact of large-scale societal events through examination of reported sleep disruption surrounding the 2024 U.S. presidential election and demographic factors associated with these disruptions.</p><p><strong>Methods: </strong>Data collected by National Sleep Foundation from a nationally representative random sample of 991 U.S. adults were analyzed. The study survey included questions on election-related sleep disruptions, sleep quality, and sleep duration. The results were compared to a previously analyzed nationally representative random sample (N = 1364) that examined the same trends prior to the election.</p><p><strong>Results: </strong>In the immediate aftermath of the 2024 U.S. presidential election, 17% of U.S. adults endorsed experiencing a negative impact on their sleep. Significant group differences were found based on political affiliation, education, and other demographics, and differences between pre- and post-election samples were observed, with significantly less Republican (χ<sup>2</sup> = 39.12, p < .001) and Independent (χ<sup>2</sup> = 5.59, p = .02) individuals and significantly more Democrat-affiliated individuals (χ<sup>2</sup> = 22.54, p < .001) reporting post-election.</p><p><strong>Conclusions: </strong>Following the 2024 U.S. presidential election, a significant number of U.S. adults reported a negative impact on their sleep health. These results were consistent with other investigations that showed the effects of stressful, large-scale societal events on sleep. These negative impacts were particularly observed in specific sub-populations. Future studies and public health action are needed to better understand and address disruptions to sleep and sleep health that can accompany major sociopolitical events.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146137949","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}
Many communities in the United States are delaying school start times to improve youth sleep. Racial disparities exist in sleep. The extent to which school start times are associated with racial disparities in sleep is unclear, especially in early adolescent populations that are not the focus of research on school start times. This study examined the associations between school start times and actigraphy-assessed sleep, including duration, onset, and offset times among a national sample of racially diverse early adolescents.
Methods
In a national sample of 3522 early adolescents (Mage = 11.49, SDage = 0.50; 2123 (60.3%) non-Hispanic White, 316 (8.7%) Black or African American, 768 (21.6%) Hispanic or Latinx American, 104 (2.9%) Asian American, 110 (3.0%) White-Black biracial, and 125 (3.5%) White-Asian biracial) in the Adolescent Brain Cognitive Development (ABCD) Study, links between school start times and sleep duration, onset, and offset times (mean levels, variability) were estimated by racialized groups, accounting for covariates.
Results
Later school start times were associated with longer weekday and weekend sleep duration, later onset, and later offset (βs = 0.087 −0.145, ps < .005) among White early adolescents. Among Latinx early adolescents, the association between school start times and weekday sleep duration was weaker compared with White adolescents (b = −0.088, SE = 0.029, p = .03). School start times were unrelated to sleep duration for other racially minoritized early adolescents (βs = −0.124 to 0.124).
Conclusions
The benefits of later school start times for sleep duration were only evidenced for White early adolescents. This study highlights the value of including school start times as a determinant of sleep health equity.
{"title":"School start times and racial disparities in early adolescent sleep","authors":"Tiffany Yip PhD , Jinjin Yan PhD , Meng-Run Zhang PhD , Yijie Wang PhD , Zhenqiang Zhao PhD , Heining Cham PhD , Margarita Alegría PhD","doi":"10.1016/j.sleh.2025.07.003","DOIUrl":"10.1016/j.sleh.2025.07.003","url":null,"abstract":"<div><h3>Objectives</h3><div>Many communities in the United States are delaying school start times to improve youth sleep. Racial disparities exist in sleep. The extent to which school start times are associated with racial disparities in sleep is unclear, especially in early adolescent populations that are not the focus of research on school start times. This study examined the associations between school start times and actigraphy-assessed sleep, including duration, onset, and offset times among a national sample of racially diverse early adolescents.</div></div><div><h3>Methods</h3><div>In a national sample of 3522 early adolescents (<em>M</em><sub>age</sub> = 11.49, <em>SD</em><sub>age</sub> = 0.50; 2123 (60.3%) non-Hispanic White, 316 (8.7%) Black or African American, 768 (21.6%) Hispanic or Latinx American, 104 (2.9%) Asian American, 110 (3.0%) White-Black biracial, and 125 (3.5%) White-Asian biracial) in the Adolescent Brain Cognitive Development (ABCD) Study, links between school start times and sleep duration, onset, and offset times (mean levels, variability) were estimated by racialized groups, accounting for covariates.</div></div><div><h3>Results</h3><div>Later school start times were associated with longer weekday and weekend sleep duration, later onset, and later offset (<em>βs</em> = 0.087 −0.145, <em>ps</em> < .005) among White early adolescents. Among Latinx early adolescents, the association between school start times and weekday sleep duration was weaker compared with White adolescents (<em>b</em> = −0.088, <em>SE</em> = 0.029, <em>p</em> = .03). School start times were unrelated to sleep duration for other racially minoritized early adolescents (<em>βs</em> = −0.124 to 0.124).</div></div><div><h3>Conclusions</h3><div>The benefits of later school start times for sleep duration were only evidenced for White early adolescents. This study highlights the value of including school start times as a determinant of sleep health equity.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 30-38"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144765680","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}
Pub Date : 2026-02-01Epub Date: 2025-11-27DOI: 10.1016/j.sleh.2025.09.006
Symielle A. Gaston PhD, MPH , Christopher W. Payne MA , William Braxton Jackson II MPH , Chandra L. Jackson PhD, MS
Objectives
Sleep health is essential for health promotion and disease prevention. In the United States, rural communities face unique challenges (e.g., low access to health-promoting resources like food options, healthcare, and social services due to geographic isolation) that may exacerbate sleep disturbances. Yet, sleep in this group is rarely characterized. Therefore, we sought to perform a descriptive study of sleep health characteristics among children and adults living in rural counties in the United States.
Methods
Reported sleep duration (among adults only) and disturbances such as nonrestorative sleep (among children and adults) were described by age group using cross-sectional data from the 2020 and 2022 National Health Interview Survey. We additionally assessed differences in sleep by sociodemographic characteristics (e.g., sex, race and ethnicity, socioeconomic status) using Poisson regression with robust variance to estimate prevalence ratios and 95% confidence intervals (PR [95% CI]).
Results
Among 1429 children and 8673 adults, sleep disturbances were prevalent across all age groups. As age increased among children, sleep disturbances were more prevalent, while consistent bed and wake times were less prevalent. Consistent disparities emerged among 6-13-year-olds, including higher sleep disturbances among children with lower vs. higher socioeconomic status. Sex disparities occurred among adolescents (14-17 years old). Among adults (≥18 years old), sleep duration and disturbances varied across all sociodemographic characteristics, with generally higher prevalence among groups with adverse social conditions (e.g., divorced/separated/widowed; low socioeconomic status).
Conclusion
Sleep disturbances and disparities are prevalent among rural populations, particularly among children aged 6-13 years and adults.
{"title":"Rural sleep health and sleep health disparities among children and adults in the United States","authors":"Symielle A. Gaston PhD, MPH , Christopher W. Payne MA , William Braxton Jackson II MPH , Chandra L. Jackson PhD, MS","doi":"10.1016/j.sleh.2025.09.006","DOIUrl":"10.1016/j.sleh.2025.09.006","url":null,"abstract":"<div><h3>Objectives</h3><div>Sleep health is essential for health promotion and disease prevention. In the United States, rural communities face unique challenges (e.g., low access to health-promoting resources like food options, healthcare, and social services due to geographic isolation) that may exacerbate sleep disturbances. Yet, sleep in this group is rarely characterized. Therefore, we sought to perform a descriptive study of sleep health characteristics among children and adults living in rural counties in the United States.</div></div><div><h3>Methods</h3><div>Reported sleep duration (among adults only) and disturbances such as nonrestorative sleep (among children and adults) were described by age group using cross-sectional data from the 2020 and 2022 National Health Interview Survey. We additionally assessed differences in sleep by sociodemographic characteristics (e.g., sex, race and ethnicity, socioeconomic status) using Poisson regression with robust variance to estimate prevalence ratios and 95% confidence intervals (PR [95% CI]).</div></div><div><h3>Results</h3><div>Among 1429 children and 8673 adults, sleep disturbances were prevalent across all age groups. As age increased among children, sleep disturbances were more prevalent, while consistent bed and wake times were less prevalent. Consistent disparities emerged among 6-13-year-olds, including higher sleep disturbances among children with lower vs. higher socioeconomic status. Sex disparities occurred among adolescents (14-17 years old). Among adults (≥18 years old), sleep duration and disturbances varied across all sociodemographic characteristics, with generally higher prevalence among groups with adverse social conditions (e.g., divorced/separated/widowed; low socioeconomic status).</div></div><div><h3>Conclusion</h3><div>Sleep disturbances and disparities are prevalent among rural populations, particularly among children aged 6-13 years and adults.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 39-51"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145641364","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}
This paper investigates the trajectory and potential predictors of sleep quality across 13 waves of data on 5 European populations from April 2020-September 2024.
Methods
Data are based on the ongoing COME-HERE survey, a comprehensive longitudinal study designed to capture the socioeconomic, health, and psychological impacts of the COVID-19 pandemic across multiple European countries, including 8063 participants and over 60,000 observations drawn from representative samples in France, Germany, Italy, Spain, and Sweden.
Results
Our findings reveal an upward trend in average sleep quality over time, with fluctuations that align with major COVID-19 waves, suggesting pandemic-related disruptions to typical seasonal sleep patterns. Through multivariate regression analysis, female gender, income, employment, physical activity, mental health, and social interactions are key predictors of sleep quality, with financial security and mental health showing particularly strong associations. Importantly, our results hold across diverse groups (by country, gender, age, and education) and remain consistent from the height of the pandemic through to the postpandemic period, supporting the enduring influence of mental health, socioeconomic, and lifestyle factors on sleep quality.
Conclusions
Our study highlights the complex interplay between social determinants, mental health, and lifestyles in shaping sleep quality in the general population, regardless of geographic context and the potential impact of major public health emergencies such as the recent COVID-19 pandemic. These findings further emphasize the need for greater attention to sleep health in both clinical and public health settings.
{"title":"Trajectories and predictors of sleep quality during and after the pandemic in five European populations","authors":"Anthony Lepinteur PhD , Claus Vögele PhD , Conchita D’Ambrosio PhD , Saverio Stranges MD, PhD","doi":"10.1016/j.sleh.2025.09.001","DOIUrl":"10.1016/j.sleh.2025.09.001","url":null,"abstract":"<div><h3>Objectives</h3><div>This paper investigates the trajectory and potential predictors of sleep quality across 13 waves of data on 5 European populations from April 2020-September 2024.</div></div><div><h3>Methods</h3><div>Data are based on the ongoing COME-HERE survey, a comprehensive longitudinal study designed to capture the socioeconomic, health, and psychological impacts of the COVID-19 pandemic across multiple European countries, including 8063 participants and over 60,000 observations drawn from representative samples in France, Germany, Italy, Spain, and Sweden.</div></div><div><h3>Results</h3><div>Our findings reveal an upward trend in average sleep quality over time, with fluctuations that align with major COVID-19 waves, suggesting pandemic-related disruptions to typical seasonal sleep patterns. Through multivariate regression analysis, female gender, income, employment, physical activity, mental health, and social interactions are key predictors of sleep quality, with financial security and mental health showing particularly strong associations. Importantly, our results hold across diverse groups (by country, gender, age, and education) and remain consistent from the height of the pandemic through to the postpandemic period, supporting the enduring influence of mental health, socioeconomic, and lifestyle factors on sleep quality.</div></div><div><h3>Conclusions</h3><div>Our study highlights the complex interplay between social determinants, mental health, and lifestyles in shaping sleep quality in the general population, regardless of geographic context and the potential impact of major public health emergencies such as the recent COVID-19 pandemic. These findings further emphasize the need for greater attention to sleep health in both clinical and public health settings.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 52-60"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145472176","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}
Pub Date : 2026-02-01Epub Date: 2025-11-05DOI: 10.1016/j.sleh.2025.10.003
Kaylin M. White MS , Laura Ward MSPH , Ryan Saelee PhD , Orfeu M. Buxton PhD , Lauren Hale PhD , Anne-Marie Chang PhD , Dayna A. Johnson PhD
Objectives
To assess differences and potential measurement bias in adolescent sleep duration, we compared self-report and actigraphy-assessed sleep duration in the Future of Families and Child Wellbeing Study (age 15 wave).
Methods
Participants (N = 634; mean age 15.4 years; 51% Black, 30% Hispanic, and 18% White) self-reported typical weekday and weekend bedtimes and waketimes before wearing a wrist actigraph for 1 week. Linear regression models estimated concordance between self-reported and actigraphy-assessed sleep duration overall and stratified by race, ethnicity, and socioeconomic status (primary caregiver education and household income-to-poverty threshold ratio). Agreement of sleep duration categories [short (<8 hours), recommended (8-10 hours), and long (>10 hours)] was estimated using Kappa statistics.
Results
Self-reported sleep duration overestimated actigraphy-assessed duration by 27.87 minutes (95% CI: 34.96, 20.78) after adjustment. Agreement between duration categories was 73% (ƙw = 0.12, 95% CI: 0.07, 0.18). The mean difference was larger on weekends (74.3 ± 144.7 minutes) than weekdays (27.5 ± 92.7 minutes). Within-group analyses showed self-reported duration overestimated actigraphy-assessed duration for Black adolescents and those with lower socioeconomic status (i.e., primary caregivers with a high school education or less).
Conclusions
Reliance on self-report may misclassify sleep duration and underestimate insufficient sleep, particularly in marginalized groups, underscoring the need to understand measurement bias when objective measures are unavailable.
{"title":"Measurement bias in adolescent sleep duration: Comparison of self-reported and actigraphy-assessed sleep duration among adolescents in the Future of Families and Child-Wellbeing Study","authors":"Kaylin M. White MS , Laura Ward MSPH , Ryan Saelee PhD , Orfeu M. Buxton PhD , Lauren Hale PhD , Anne-Marie Chang PhD , Dayna A. Johnson PhD","doi":"10.1016/j.sleh.2025.10.003","DOIUrl":"10.1016/j.sleh.2025.10.003","url":null,"abstract":"<div><h3>Objectives</h3><div>To assess differences and potential measurement bias in adolescent sleep duration, we compared self-report and actigraphy-assessed sleep duration in the Future of Families and Child Wellbeing Study (age 15 wave).</div></div><div><h3>Methods</h3><div>Participants (N = 634; mean age 15.4 years; 51% Black, 30% Hispanic, and 18% White) self-reported typical weekday and weekend bedtimes and waketimes before wearing a wrist actigraph for 1 week. Linear regression models estimated concordance between self-reported and actigraphy-assessed sleep duration overall and stratified by race, ethnicity, and socioeconomic status (primary caregiver education and household income-to-poverty threshold ratio). Agreement of sleep duration categories [short (<8 hours), recommended (8-10 hours), and long (>10 hours)] was estimated using Kappa statistics.</div></div><div><h3>Results</h3><div>Self-reported sleep duration overestimated actigraphy-assessed duration by 27.87 minutes (95% CI: 34.96, 20.78) after adjustment. Agreement between duration categories was 73% (ƙw = 0.12, 95% CI: 0.07, 0.18). The mean difference was larger on weekends (74.3 ± 144.7 minutes) than weekdays (27.5 ± 92.7 minutes). Within-group analyses showed self-reported duration overestimated actigraphy-assessed duration for Black adolescents and those with lower socioeconomic status (i.e., primary caregivers with a high school education or less).</div></div><div><h3>Conclusions</h3><div>Reliance on self-report may misclassify sleep duration and underestimate insufficient sleep, particularly in marginalized groups, underscoring the need to understand measurement bias when objective measures are unavailable.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 1","pages":"Pages 147-157"},"PeriodicalIF":3.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145460412","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}