Sleep Health最新文献

{"title":"Childhood sexual violence and sleep disturbances in adulthood: Findings from a large French population-based study (CONSTANCES)","authors":"Theresa Al Zayat MPH ,&nbsp;Judith Van Der Waerden PhD ,&nbsp;Marion Bailhache MD, PhD ,&nbsp;Emmanuel Wiernik PhD ,&nbsp;Marie Zins PhD ,&nbsp;Maria Melchior PhD ,&nbsp;Eve Reynaud PhD ,&nbsp;Fabienne El-Khoury PhD","doi":"10.1016/j.sleh.2026.03.005","DOIUrl":"10.1016/j.sleh.2026.03.005","url":null,"abstract":"<div><h3>Objectives</h3><div>Although childhood sexual violence has been linked to sleep disturbances, but population-based evidence examining multiple sleep dimensions and differentiating types of sexual violence remains limited. We examined associations between childhood sexual violence and adult sleep outcomes in a large French cohort.</div></div><div><h3>Methods</h3><div>We used data from the 2020 wave of the CONSTANCES cohort, a nationwide population-based study. The analytic sample comprised 114,373 adults (mean age = 52.2) with information on childhood sexual violence, categorized as no exposure, non-penetrative childhood sexual violence, or rape (with or without other forms of sexual violence). Sleep outcomes included frequent nocturnal awakenings (≥3 times/night), sleep duration (short, normal, or long), and chronotype (early, intermediate, or late). Associations were estimated using sex-stratified adjusted logistic and multinomial logistic regression models, and are reported as adjusted odds ratios (ORa) with 95% confidence intervals.</div></div><div><h3>Results</h3><div>Overall, 13% of participants reported experiencing some form of childhood sexual violence. This prevalence was notably higher in women. The prevalence of sleep disturbances was 11.4% for frequent nocturnal awakenings, 10.4% for short sleep duration (&lt;6 hours), and 6.3% for late chronotype (MSFsc &gt;5:00). Childhood sexual violence was significantly associated with all sleep outcomes. In adjusted models, rape was consistently associated with higher odds of sleep disturbances, including frequent nocturnal awakenings (women: ORa = 1.35(1.22-1.50); men: ORa = 1.73(1.37-2.15)), short sleep duration (women: ORa = 1.37(1.23-1.54); men: ORa = 1.61(1.27-2.04)), and late MSFsc (women: ORa = 1.58(1.38-1.82); men: ORa = 2.08(1.62-2.67)). Other sexual violence excluding rape showed more modest associations.</div></div><div><h3>Conclusions</h3><div>Childhood sexual violence is associated with increased odds of various types of sleep disturbances in adulthood, particularly among victims of rape.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 3","pages":"Pages 458-468"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147647087","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 health and mental health: A position statement from the National Sleep Foundation","authors":"Joseph M. Dzierzewski PhD ,&nbsp;Spencer A. Nielson MS ,&nbsp;Candice Alfano PhD, DBSM ,&nbsp;M. Safwan Badr MD, MBA ,&nbsp;Elaine Boland PhD ,&nbsp;Jennifer R. Goldschmied PhD ,&nbsp;John Lopos BA ,&nbsp;Daniel B. Kay PhD ,&nbsp;Michael R. Nadorff PhD ,&nbsp;David N. Neubauer MD ,&nbsp;Cara A. Palmer PhD ,&nbsp;Dieter Riemann PhD","doi":"10.1016/j.sleh.2026.03.002","DOIUrl":"10.1016/j.sleh.2026.03.002","url":null,"abstract":"<div><div>The United States continues to face a mental health crisis. A strong body of evidence supports poor sleep as a significant contributor to the development and exacerbation of mental health conditions. To achieve public health goals, it is critical to understand the associations among sleep health characteristics and mental health in the general population, and how practicing healthy sleep behaviors can promote better mental health across communities. National Sleep Foundation calls for focused actions to promote sleep health and mental health from a wide range of society members. Efforts to incorporate these re--ations in healthcare systems, educational and government organizations, employment settings, public policy, industry, and funding agencies and organizations will help address the mental health crisis and promote the health of the nation.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 3","pages":"Pages 531-536"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147610358","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 impact of stress on sleep architecture: A seven-day study leveraging a psychophysiological stress detection algorithm and wearable EEG","authors":"Andrea Montanari PhD ,&nbsp;Alex Limin Wang PhD ,&nbsp;Martin Karl Moser PhD ,&nbsp;Bernd Resch PhD ,&nbsp;Amit Birenboim PhD ,&nbsp;Basile Chaix PhD","doi":"10.1016/j.sleh.2026.02.008","DOIUrl":"10.1016/j.sleh.2026.02.008","url":null,"abstract":"<div><h3>Objectives</h3><div>Stress is known to be a modifiable key determinant of sleep quality. This study aims to investigate the impact of daytime physiological stress and nighttime environmental stressors on sleep architecture using a rule-based algorithm and wearable sensors in a real-world setting.</div></div><div><h3>Methods</h3><div>Twenty-one participants in Jerusalem were monitored over a 7-day period using the Dreem Headband, a wearable device that measures sleep via electroencephalography. Daytime stress was quantified through the Moment of Stress algorithm, utilizing electrodermal activity from the Empatica Embrace Plus bracelet. To assess potential sources of nighttime stress, we used indoor sensors to measure noise and temperature levels in the bedroom. We applied linear mixed-effects models with a random intercept at the individual level to assess the effects of these factors on sleep outcomes.</div></div><div><h3>Results</h3><div>An increase in the number of Moments of Stress per day from the 10th to the 90th percentile was related to a 6.57-point increase in the rapid eye movement (REM) sleep percentage and a 5.74-point decrease in the deep (N3) sleep percentage, indicating a shift in sleep architecture under heightened stress. Each additional minute of noise exposure above 65 dB(A) was linked to 1.20 more minutes of wake after sleep onset (WASO) (95% CI: 0.54-1.86) and to a 0.10-point increase in light (N1) sleep percentage (95% CI: 0.03-0.16). No association was detected between temperature and sleep.</div></div><div><h3>Conclusions</h3><div>Overall, these preliminary findings suggest that daytime physiological stress and nighttime noise may be associated with alterations in sleep architecture in naturalistic settings.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 3","pages":"Pages 440-449"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147677848","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":"Cover 2: Editorial Board","authors":"","doi":"10.1016/S2352-7218(26)00083-5","DOIUrl":"10.1016/S2352-7218(26)00083-5","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 3","pages":"Page A4"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148146707","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":"BMI modifies the association of obstructive sleep apnea with morning blood pressure in East Asian adults","authors":"Jinzhu Yan MD ,&nbsp;Pei Xue MD, PhD ,&nbsp;Meina Wu MD ,&nbsp;Christian Benedict PhD","doi":"10.1016/j.sleh.2026.03.003","DOIUrl":"10.1016/j.sleh.2026.03.003","url":null,"abstract":"<div><h3>Background</h3><div>Obstructive sleep apnea is strongly linked to hypertension, yet most evidence derives from Western populations in whom obesity is common. Because East Asian adults frequently develop obstructive sleep apnea at lower body mass index, it remains unclear whether body mass index modifies the association between obstructive sleep apnea severity and morning blood pressure in this population.</div></div><div><h3>Methods</h3><div>A total of 1849 adults aged 18-92 years underwent overnight, in-hospital polysomnography. Morning brachial blood pressure was measured twice in the seated position after 5 minutes of rest. Obstructive sleep apnea severity was quantified using the apnea-hypopnea index. Generalized linear models evaluated independent and interactive associations of body mass index and apnea-hypopnea index with systolic and diastolic blood pressure, adjusting for relevant covariates, including antihypertensive medication use.</div></div><div><h3>Results</h3><div>A significant body mass index × apnea-hypopnea index interaction was observed for both systolic and diastolic blood pressure (<em>p</em> &lt; .01), indicating that the association between obstructive sleep apnea severity and morning blood pressure varied across body mass index, for example, a 20-unit increase in apnea-hypopnea index was associated with larger increases in systolic/diastolic blood pressure at lower body mass index (∼3/1.5 mmHg at body mass index 20 kg/m²) than at higher body mass index (∼1.1/0.1 mmHg at body mass index 30 kg/m²). In sensitivity analyses using nocturnal hypoxemia (T &lt;90%), a body mass index-dependent association was observed for systolic but not diastolic blood pressure.</div></div><div><h3>Conclusion</h3><div>These findings suggest that the association between obstructive sleep apnea severity and morning blood pressure differs across the body mass index spectrum, underscoring the importance of considering both obstructive sleep apnea burden and body weight in cardiovascular risk assessment, particularly in East Asian populations.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 3","pages":"Pages 513-519"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147647117","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":"Citizenship status and report of trouble sleeping to a healthcare provider among U.S. adults with high-risk sleep symptoms: NHANES 2015-2018","authors":"Gretchen K. Weaver PhD, MPH ,&nbsp;Emmanuella A. Asiedu PhD, MPH ,&nbsp;Shiwei Liang PhD, MS ,&nbsp;Laël N. Ngangmeni PhD, MBS ,&nbsp;Shao-Hsien Liu PhD, MPH ,&nbsp;Apurv Soni MD, PhD","doi":"10.1016/j.sleh.2026.04.001","DOIUrl":"10.1016/j.sleh.2026.04.001","url":null,"abstract":"<div><h3>Objectives</h3><div>Immigrants experience barriers to healthcare and may be less likely to engage in patient-provider conversations about their sleep health. This study examined the association between citizenship status and report of trouble sleeping among adults with poor sleep health, which has not been readily studied.</div></div><div><h3>Methods</h3><div>We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (2015-2018) among 5052 adults (≥18 years) that had at least one high-risk sleep symptom (short sleep duration, snoring, snorting, and daytime sleepiness). We employed a two-step analysis by assessing the association between citizenship status and self-report of trouble sleeping to a healthcare provider and the interaction between citizenship status and the number of high-risk sleep (1, 2, 3-4) health symptoms.</div></div><div><h3>Results</h3><div>In the sample, 38.7% of native-born citizens, 26.7% of naturalized citizens, and 14.0% of noncitizens had reported trouble sleeping to an healthcare provider. Covariate-adjusted, survey-weighted logistic regression and sensitivity analysis results showed noncitizens had significantly lower odds of reporting trouble sleeping to an healthcare provider compared with native-born citizens (OR: 0.52, 95% CI: 0.33-0.84). Predicted probability estimates of the interaction of citizenship status and the number of high-risk sleep symptoms showed noncitizens consistently under-reported trouble sleeping to an healthcare provider despite an increasing number of symptoms.</div></div><div><h3>Conclusions</h3><div>Noncitizens may be disenfranchised to engage in conversations with an healthcare provider about sleep. Further inquiry into how citizenship status may be associated with patient-provider communication with specific attention to immigrant subpopulations is warranted.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 3","pages":"Pages 433-439"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147822316","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":"School start times and racial disparities in early adolescent sleep","authors":"Tiffany Yip PhD ,&nbsp;Jinjin Yan PhD ,&nbsp;Meng-Run Zhang PhD ,&nbsp;Yijie Wang PhD ,&nbsp;Zhenqiang Zhao PhD ,&nbsp;Heining Cham PhD ,&nbsp;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>_age = 11.49, <em>SD</em>_age = 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> &lt; .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}

{"title":"Rural sleep health and sleep health disparities among children and adults in the United States","authors":"Symielle A. Gaston PhD, MPH ,&nbsp;Christopher W. Payne MA ,&nbsp;William Braxton Jackson II MPH ,&nbsp;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}

{"title":"Trajectories and predictors of sleep quality during and after the pandemic in five European populations","authors":"Anthony Lepinteur PhD ,&nbsp;Claus Vögele PhD ,&nbsp;Conchita D’Ambrosio PhD ,&nbsp;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}

{"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 ,&nbsp;Laura Ward MSPH ,&nbsp;Ryan Saelee PhD ,&nbsp;Orfeu M. Buxton PhD ,&nbsp;Lauren Hale PhD ,&nbsp;Anne-Marie Chang PhD ,&nbsp;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 (&lt;8 hours), recommended (8-10 hours), and long (&gt;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}