Sleep Health最新文献

{"title":"Cover 2: Editorial Board","authors":"","doi":"10.1016/S2352-7218(25)00100-7","DOIUrl":"10.1016/S2352-7218(25)00100-7","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Page A4"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204524","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":"Social jetlag is associated with body mass (BMI) in children aged 2-8 years: A cross-sectional analysis","authors":"Sophia Choubai MS ,&nbsp;John R. Harsh PhD ,&nbsp;Lauren E. Hartstein PhD ,&nbsp;Leen Abbas MS ,&nbsp;Sachi D. Wong PhD ,&nbsp;Monique K. LeBourgeois PhD","doi":"10.1016/j.sleh.2025.04.003","DOIUrl":"10.1016/j.sleh.2025.04.003","url":null,"abstract":"<div><h3>Objective</h3><div><span><span>Social jetlag is associated with higher </span>body mass index<span> (BMI) in adults, adolescents, and older children. However, no research to date has addressed social jetlag and body mass index in early childhood. This study investigated the association between social jetlag and BMIz in children aged 2-8</span></span> <!-->years.</div></div><div><h3>Methods</h3><div>Cross-sectional data were leveraged from 1122 children (M<!--> <!-->=<!--> <!-->5.6<!--> <!-->±<!--> <!-->1.7<!--> <span>years, 48.8% females) from the NIH Environmental influences on Child Health Outcomes (ECHO) study between 2016 and 2021. Sleep timing was parent-reported. Social jetlag was calculated as the absolute difference in weekend-weekday sleep midpoint. Objective measurements of children’s height and weight were used to compute age- and sex-adjusted BMIz. Regression models tested the association between social jetlag and BMIz, adjusting for sociodemographic and sleep covariates.</span></div></div><div><h3>Results</h3><div><span>After controlling for age, sex, race and ethnicity, primary caregiver education, and average nighttime sleep duration, social jetlag was positively associated with BMIz (β</span> <!-->=<!--> <!-->0.126, 95% CI: 0.004-0.249, <em>p</em> <!-->=<!--> <!-->.043). Children with ≥1-h social jetlag had higher average BMIz and had 66% higher odds of being overweight or obese (OR<!--> <!-->=<!--> <!-->1.66, 95% CI: 1.13-2.46, <em>p</em> <!-->=<!--> <!-->.01), compared with children with no social jetlag.</div></div><div><h3>Conclusions</h3><div>Social jetlag may contribute to higher BMIz in young children, similar to findings in older children, adolescents, and adults. At least 1 hour of social jetlag may increase children’s odds of being overweight or obese. Future research is needed to test causality and whether reducing social jetlag can lead to healthy weight-related outcomes.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 5","pages":"Pages 606-612"},"PeriodicalIF":3.4,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144133243","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":"Characterizing the sleep location, patterns, and maternally perceived sleep problems of the infants of Māori and non-Māori mothers in Aotearoa New Zealand","authors":"Mikaela L. Carter ALM, BSc ,&nbsp;Sarah-Jane Paine PhD ,&nbsp;Bronwyn M. Sweeney PhD ,&nbsp;Joanne E. Taylor PhD ,&nbsp;T. Leigh Signal PhD","doi":"10.1016/j.sleh.2024.10.010","DOIUrl":"10.1016/j.sleh.2024.10.010","url":null,"abstract":"<div><h3>Objectives</h3><div>To investigate potential sleep inequities between the infants of Māori and non-Māori mothers in Aotearoa New Zealand, identify socio-ecological factors associated with infant sleep, and determine features of infant sleep that contribute to a mother-perceived infant sleep problem.</div></div><div><h3>Design</h3><div>Secondary analysis of longitudinal data from the Moe Kura: Mother and Child, Sleep and Well-being in Aotearoa New Zealand study when infants were approximately 12 weeks old.</div></div><div><h3>Participants</h3><div>383 Māori and 702 non-Māori mother-infant dyads.</div></div><div><h3>Methods</h3><div>Chi-square and independent t-tests measured bivariate associations between maternal ethnicity and infant sleep characteristics. Multivariable and ordinal logistic regression models assessed the relative impact of different socio-ecological factors on infant sleep outcome variables.</div></div><div><h3>Results</h3><div>Key developmental markers of infant sleep did not differ by maternal ethnicity. There were some ethnicity-based differences in sleep location. Maternal ethnicity, maternal age, parity, maternal depression, maternal relationship status, life stress, breastfeeding, work status, and bedsharing were related to different dimensions of infant sleep, and to maternal perceptions of a sleep problem.</div></div><div><h3>Conclusion</h3><div>Sleep at 12<!--> <!-->weeks is highly variable between infants and is associated with numerous socio-ecological factors. Findings support a social determinants explanation for sleep health inequities seen later in childhood.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 2","pages":"Pages 158-165"},"PeriodicalIF":3.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142927619","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":"Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting","authors":"Jyotirmoy Nirupam Das ,&nbsp;Linying Ji PhD ,&nbsp;Yuqi Shen ,&nbsp;Soundar Kumara PhD ,&nbsp;Orfeu M. Buxton PhD ,&nbsp;Sy-Miin Chow PhD","doi":"10.1016/j.sleh.2024.10.003","DOIUrl":"10.1016/j.sleh.2024.10.003","url":null,"abstract":"<div><h3>Goal and aims</h3><div>One challenge using wearable sensors is nonwear time. Without a nonwear (e.g., capacitive) sensor, actigraphy data quality can be biased by subjective determinations confounding sleep/wake classification. We developed and evaluated a machine learning algorithm supplemented by dynamic features to discern wear/nonwear episodes.</div></div><div><h3>Focus technology</h3><div>Actigraphy data from wrist actigraph (Spectrum, Philips-Respironics).</div></div><div><h3>Reference technology</h3><div>The built-in nonwear sensor as “ground truth” to classify nonwear periods using other data, mimicking features of Actiwatch 2.</div></div><div><h3>Sample</h3><div>Data were collected over 1<!--> <!-->week from employed adults (n = 853).</div></div><div><h3>Design</h3><div>Extreme gradient boosting (XGBoost), a tree-based classifier algorithm, was used to classify wear/nonwear, supplemented by dynamic features calculated over various time windows.</div></div><div><h3>Core analytics</h3><div>The performance of the proposed algorithm was tested over 30-second epochs.</div><div>Additional analytics and exploratory analyses: Evaluation of the SHapley Additive exPlanations (SHAP) values to find the effectiveness of the dynamic features.</div></div><div><h3>Core outcomes</h3><div>The XGBoost classifier yielded substantial improvements in balanced accuracy, sensitivity, and specificity, including dynamic features and comparison to default actiwatch classification algorithms.</div></div><div><h3>Important supplemental outcomes</h3><div>The proposed classifier effectively distinguished between valid and invalid days, and the duration of contiguous periods of nonwear correctly identified.</div></div><div><h3>Core conclusion</h3><div>Our findings highlight the potential of XGBoost using dynamic features of varying activity levels across the time series to provide insights on wear/nonwear classification using a large dataset. The methodology provides an alternative to laborious manual benchmarking of the data for similar devices that do not have a nonwear sensor.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 2","pages":"Pages 166-173"},"PeriodicalIF":3.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956756","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":"Deportation entanglement and US Latino sleep health: A nationally representative multiwave study","authors":"Eileen Díaz McConnell PhD ,&nbsp;Connor M. Sheehan PhD","doi":"10.1016/j.sleh.2025.01.004","DOIUrl":"10.1016/j.sleh.2025.01.004","url":null,"abstract":"<div><h3>Objectives</h3><div>This study uses nationally representative multiwave data to analyze the relationship between the US mass deportation system and the sleep health of Latino/Hispanic adults. Deportation-related concerns can be a unique source of stress and rumination relevant for the sleeping patterns of the US Latino population.</div></div><div><h3>Methods</h3><div>We analyze two waves of Pew Research Center survey data about Latinos collected in 2019 and 2020 (N<!--> <!-->=<!--> <!-->1591). We fit logistic regression models to investigate whether emotional and tangible entanglements with the deportation system in December 2019 were linked with self-reported sleep troubles among Latinos in March 2020, net of other covariates.</div></div><div><h3>Results</h3><div>Nearly half of Latinos worry “some” or a “lot” about deportation and nearly half know someone who has been recently deported or detained. A third of Latino adults reported moderate to a lot of trouble sleeping three or more nights per week. The logistic regression results reveal that controlling for a comprehensive set of covariates, Latinos who were “a lot” worried about deportation or who know people who have been deported/detained were significantly more likely to report that they had trouble sleeping.</div></div><div><h3>Conclusions</h3><div>The results suggest that the US deportation system presents a unique source of stress and rumination that negatively impacts Latino sleep. These findings advance social scientific knowledge and the socio-ecological framework regarding how US policy priorities of deporting and detaining immigrants can potentially alter the sleeping patterns of a large segment of Americans, even among those not directly targeted for removal from the country.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 2","pages":"Pages 133-139"},"PeriodicalIF":3.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143504457","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":"A community-engaged qualitative study of factors affecting sleep among Hispanic/Latinos with short sleep duration","authors":"Sofia Vallejo-Riveros BS ,&nbsp;Maria Jose Velasco-Burgos MPH ,&nbsp;Laura E.C. Flores Hernandez MD ,&nbsp;Ricardo Quintana BS ,&nbsp;Jason Wiese PhD ,&nbsp;Ana Sanchez-Birkhead PhD, WHNP-BC, APRN ,&nbsp;Jennifer Duffecy PhD ,&nbsp;Kelly G. Baron PhD, MPH, DBSM","doi":"10.1016/j.sleh.2024.12.002","DOIUrl":"10.1016/j.sleh.2024.12.002","url":null,"abstract":"<div><h3>Background</h3><div>Despite having high prevalence of short sleep duration, poor sleep quality, and sleep disorders in adult Hispanics living in the US, there is limited understanding of the underlying barriers to sleep and effective interventions in these groups. This study aimed to increase understanding of sleep duration and attitudes toward sleep interventions among Hispanic adults.</div></div><div><h3>Methods</h3><div>We conducted 5 online focus group discussions with male and female participants aged 18-65 recruited from the Hispanic community who reported sleeping &lt;7 hours per night. Interviewers utilized a semistructured interview guide to assess attitudes and beliefs about sleep and sleep interventions. Focus groups were conducted in Spanish, recorded, transcribed, and coded to elicit common themes.</div></div><div><h3>Results</h3><div>Focus groups included 31 participants (19<!--> <!-->=<!--> <!-->women) from 12 Hispanic nationalities. Coders identified three main topics: (1) Sleep perceptions, (2) External and internal factors that affect sleep, and (3) Feedback about sleep interventions. Participants discussed the importance of sleep and factors related to stress, family, environment, and acculturation. Sleep interventions were viewed as desirable, and the group discussed a variety of topics of interest. The use of consumer sleep technology was considered a favorable intervention despite few participants having experience with consumer sleep-tracking devices.</div></div><div><h3>Conclusion</h3><div>Results demonstrated that participants were aware of the importance of sleep and sleep duration recommendations. The discussion identified unique issues affecting sleep health in Hispanics as well as enthusiasm for sleep interventions, including interventions using consumer sleep trackers.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 2","pages":"Pages 149-157"},"PeriodicalIF":3.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042464","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 Past, Present, and Future of Sleep Health","authors":"Lauren Hale PhD (founding) Editor in Chief, Sleep Health 2014-2019,&nbsp;Orfeu M. Buxton PhD (2nd) Editor in Chief, Sleep Health 2019-25,&nbsp;Amanda Applegate Senior Journal Assistant, Sleep Health 2019-25,&nbsp;Susan Redline MD, MPH; (3rd) Editor in Chief, Sleep Health 2025-","doi":"10.1016/j.sleh.2025.03.002","DOIUrl":"10.1016/j.sleh.2025.03.002","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 2","pages":"Pages 123-125"},"PeriodicalIF":3.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855011","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":"Daily sleep and physical activity from accelerometry in adults: Temporal associations and lag effects","authors":"Sarah Alismail PhD ,&nbsp;Calvin P. Tribby PhD ,&nbsp;Jiue-An Yang PhD ,&nbsp;Dorothy D. Sears PhD ,&nbsp;Noemie Letellier PhD ,&nbsp;Tarik Benmarhnia PhD ,&nbsp;Marta M. Jankowska PhD","doi":"10.1016/j.sleh.2024.12.001","DOIUrl":"10.1016/j.sleh.2024.12.001","url":null,"abstract":"<div><h3>Objectives</h3><div>Insufficient sleep is linked to various health issues, while physical activity is a protective measure against chronic diseases. Despite the importance of sleep and physical activity for supporting public health, there remains scant research investigating daily and cumulative associations between objectively measured physical activity and sleep. Understanding the associations of physical activity and sleep behaviors over multiple days may inform the efficacy of interventions to synergistically support both behaviors.</div></div><div><h3>Method</h3><div>Data were from the Community of Mine study (N<!--> <!-->=<!--> <!-->367 with complete data). Participants wore ActiGraph GT3X+ accelerometers on their wrist and hip for 14<!--> <!-->days. Sleep was defined as total sleep time (h/night), wakefulness after sleep onset (min), and sleep efficiency (%). Moderate to vigorous physical activity was defined as ≥760 counts per minute. Mixed-effects linear models with distributed lag effects, adjusted for age, Hispanic/Latino ethnicity, body mass index, education, smoking, and residence type, investigated the effect of sleep on prospective moderate to vigorous physical activity (and moderate to vigorous physical activity on prospective sleep): on the same or previous day, 2-day lag, and 3-day lag.</div></div><div><h3>Results</h3><div>An increase in same day, 2-day lag, and 3-day lag moderate to vigorous physical activity was associated with decreased total sleep time. Moderate to vigorous physical activity was not associated with sleep efficiency or wakefulness after sleep onset. An increase in same day and 3-day lag of total sleep time was associated with decreased moderate to vigorous physical activity. An increase in 3-day lag sleep efficiency was associated with decreased moderate to vigorous physical activity. wakefulness after sleep onset was not associated with moderate to vigorous physical activity.</div></div><div><h3>Conclusions</h3><div>These insights contribute to understanding the dynamic interplay between moderate to vigorous physical activity and sleep in adults, highlighting same day and cumulative associations.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 2","pages":"Pages 234-240"},"PeriodicalIF":3.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985127","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":"Depressive symptoms among middle-aged and older adults in China: The interaction of physical activity and sleep duration","authors":"Jingya Dong MHS ,&nbsp;Jing Huang MPhil ,&nbsp;Jeanine M. Parisi PhD ,&nbsp;Zhiqing E. Zhou PhD ,&nbsp;Mengchi Li PhD ,&nbsp;Russell Calderon BS ,&nbsp;Junxin Li PhD","doi":"10.1016/j.sleh.2024.12.004","DOIUrl":"10.1016/j.sleh.2024.12.004","url":null,"abstract":"<div><h3>Background</h3><div>Previous research on the interaction of physical activity and sleep on depressive symptoms was mostly cross-sectional or conducted with children or young adults. This study examines the main and interactive associations of physical activity and sleep duration with depressive symptoms over a 3-year period among middle-aged and older Chinese adults.</div></div><div><h3>Methods</h3><div>Data from 4269 Chinese adults aged 45 or older from the China Health and Retirement Longitudinal Study (CHARLS) were used. Physical activity was categorized as inadequate (&lt;600 MET), adequate (600-8000 MET), and extremely high (&gt;8000 MET). Sleep was classified as inadequate (&lt;6 hours), adequate (6-9 hours), and excessive (&gt;9 hours). The Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms.</div></div><div><h3>Results</h3><div>Inadequate sleep was linked to greater increases in depressive symptoms over 3<!--> <!-->years. A significant interaction between baseline physical activity and sleep duration in predicting depressive symptoms at the 3-year follow-up showed that inadequate sleep, when combined with either inadequate or extremely high physical activity, was associated with higher depressive symptoms at the 3-year follow-up. In middle-aged subgroups, for people with either inadequate physical activity or an extremely high level of physical activity, inadequate sleep was associated with higher CES-D score compared to adequate sleep; for older adults, only inadequate sleep was associated with a higher follow-up CES-D score.</div></div><div><h3>Conclusion</h3><div>Physical activity and sleep interactively impacted depressive symptoms, suggesting future personalized interventions that simultaneously target physical activity and sleep. Adequate sleep was associated with lower levels of future depressive symptoms in people with inadequate or extremely high physical activity.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 2","pages":"Pages 214-221"},"PeriodicalIF":3.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143025372","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":"Untreated insomnia as a contributor to geographic disparities in risk for Alzheimer’s disease and related dementias","authors":"Soomi Lee PhD ,&nbsp;Christopher N. Kaufmann PhD, MHS ,&nbsp;Catherine A. Lippi PhD ,&nbsp;Sadie J. Ryan PhD ,&nbsp;Yi Guo PhD, FAMIA","doi":"10.1016/j.sleh.2025.01.002","DOIUrl":"10.1016/j.sleh.2025.01.002","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 2","pages":"Pages 131-132"},"PeriodicalIF":3.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477205","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}