Sleep Health最新文献

{"title":"Phenotypes of sleep health among adults with chronic heart failure in a randomized controlled trial of cognitive behavioral therapy for insomnia","authors":"Sangchoon Jeon PhD ,&nbsp;Samantha Conley PhD, RN ,&nbsp;Meghan O’Connell MPH ,&nbsp;Zequan Wang PhD, RN ,&nbsp;Nancy S. Redeker PhD, RN, FAHA, FAAN","doi":"10.1016/j.sleh.2024.09.006","DOIUrl":"10.1016/j.sleh.2024.09.006","url":null,"abstract":"<div><h3>Background</h3><div>Poor sleep contributes to adverse health in heart failure. However, studies are limited to isolated sleep characteristics.</div></div><div><h3>Purposes</h3><div>To evaluate changes in sleep health phenotypes after cognitive behavioral therapy for insomnia or attention control and associations between sleep health phenotypes, symptoms, stress, functional performance, and emergency department visits and hospitalizations.</div></div><div><h3>Methods</h3><div>Secondary analysis of a randomized controlled trial of cognitive behavioral therapy for insomnia among adults with heart failure. We measured sleep (rest-activity rhythms, sleep duration, quality, and efficiency, insomnia severity, daytime sleepiness), symptoms, cognitive ability, vigilance, and 6-minute walk distance at baseline and 3-, 6-, and 12-month postintervention and collected hospitalizations and emergency department visits. We used K-means cluster analysis and generalized linear mixed models, generalized estimating equations, and Cox proportional hazard models.</div></div><div><h3>Results</h3><div>Among 166 participants (M age<!--> <!-->=<!--> <!-->63.2 (SD<!--> <!-->=<!--> <!-->12.6) years; 57% male; 23% New York Heart Association Class III/IV), there were four sleep health phenotypes (“Unstable Sleep” (15%); “Short Sleep” (39%); “Low Sleep Efficiency” (25%); and “Good Sleep” (21%)) at baseline. The healthiest phenotype was associated with the lowest fatigue. The proportions of participants in the healthiest sleep group increased from pre- to post-treatment. Low sleepiness (<em>p</em> = .0188) and a robust circadian quotient (<em>p</em> = .007) predicted transition to the healthiest phenotype. The poorest sleep phenotype at baseline predicted time to hospitalizations and emergency department visits (hazard ratios 0.35-0.60) after adjusting for covariates.</div></div><div><h3>Conclusion</h3><div>Sleep phenotypes predict heart failure outcomes. Tailored interventions targeting phenotypes may be more effective than approaches that focus on single sleep characteristics.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 705-712"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142559161","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 pattern, genetic risk, and the risk of incident rheumatoid arthritis: A cohort study","authors":"Bin Liu UG ,&nbsp;Yu Qian UG ,&nbsp;Hao Lin UG ,&nbsp;Shuyue Zhao UG ,&nbsp;Jiacheng Ying UG ,&nbsp;Weiwei Chen UG ,&nbsp;Peiyang Luo UG ,&nbsp;Jiayu Li MD, PhD ,&nbsp;Xiaohui Sun MD, PhD ,&nbsp;Zhixing He MD, PhD ,&nbsp;Ding Ye MD, PhD ,&nbsp;Yingying Mao MD, PhD","doi":"10.1016/j.sleh.2024.08.009","DOIUrl":"10.1016/j.sleh.2024.08.009","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the associations of sleep behaviors with the risk of rheumatoid arthritis, and whether the associations differ among individuals with low, intermediate, or high genetic risk.</div></div><div><h3>Methods</h3><div>We included participants who were free of rheumatoid arthritis at baseline based the UK Biobank. We evaluated the associations of five sleep behaviors with the risk of rheumatoid arthritis using Cox proportional hazard regression models. We then generated a sleep risk score which combined five sleep behaviors and assessed its association with the risk of rheumatoid arthritis. We finally generated a genetic risk score and examined the joint effects of sleep patterns and genetic susceptibility on the risk of rheumatoid arthritis.</div></div><div><h3>Results</h3><div>Of the 375,133 participants at baseline, 4913 incident rheumatoid arthritis cases were identified over a median follow-up of 11.73<!--> <!-->years. We found that insomnia and daytime sleepiness were associated with a 33% and a 38% increased risk of rheumatoid arthritis. A U-shaped association was observed between sleep duration and the risk of rheumatoid arthritis, with a 29% higher risk for those with short sleep and a 30% higher risk for those with long sleep. Participants with unfavorable sleep patterns had a 63% increased risk of rheumatoid arthritis compared with those with favorable sleep patterns. Participants with unfavorable sleep patterns and high genetic risk showed the highest risk of rheumatoid arthritis although no statistically significant multiplicative or additive interaction was found.</div></div><div><h3>Conclusions</h3><div>Our study suggested that insomnia, daytime sleepiness, and short or long sleep duration, as well as sleep risk score were associated with an increased risk of rheumatoid arthritis.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 635-642"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298948","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 status of centenarians and its association with death in the China Hainan Centenarian Cohort Study","authors":"Shanshan Yang MD, PhD ,&nbsp;Rongrong Li MASc ,&nbsp;Guangdong Liu MD, PhD ,&nbsp;Shengshu Wang MD, PhD ,&nbsp;Xuehang Li MASc ,&nbsp;Shimin Chen MASc ,&nbsp;Yali Zhao MD, PhD ,&nbsp;Miao Liu MD, PhD ,&nbsp;Yunxi Liu MD, PhD ,&nbsp;Yao He MD, PhD","doi":"10.1016/j.sleh.2024.08.002","DOIUrl":"10.1016/j.sleh.2024.08.002","url":null,"abstract":"<div><h3>Objective</h3><div>This study investigated the associations of sleep status (duration and quality) with all-cause death among centenarians, using data from the China Hainan Centenarians Cohort Study.</div></div><div><h3>Method</h3><div>The epidemiological distribution of sleep duration and sleep quality (estimated using the Pittsburgh Sleep Quality Index) was described based on the data from the China Hainan Centenarians Cohort Study. Cox regression was used to analyze the association between sleep status and all-cause mortality.</div></div><div><h3>Results</h3><div>A total of 994 centenarians, with an average age of 102.77 ± 2.75<!--> <!-->years, were included. The median (Q1, Q3) daytime sleep duration was 1.00 (0.50, 1.50) hour, while nighttime sleep duration and total sleep duration were 8.00 (7.00, 9.00) hours and 9.00 (8.00, 10.50) hours, respectively. By the end of the follow-up period, 517 centenarians had died, with a median follow-up time of 4.2 (1.3-5.0) years. A noteworthy finding emerged: male centenarians with a daytime sleep duration of at least 2 hours had a 97% greater risk of all-cause mortality (HR<!--> <!-->=<!--> <!-->1.97, 95%CI: 1.07-3.62, <em>P</em> = .039) than those who got less daytime sleep, after adjusting for potential confounders.</div></div><div><h3>Conclusion</h3><div>The sleep duration patterns of centenarians in Hainan were comparable to those in other provinces of China. Centenarians who sleep longer had a higher risk of all-cause mortality. This risk plateaued after more than 9 hours of sleep, with no gender differences observed. Furthermore, the duration of daytime sleep was significantly associated with all-cause mortality among male centenarians.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 713-721"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356174","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 Heatlth Times","authors":"","doi":"10.1016/S2352-7218(24)00255-9","DOIUrl":"10.1016/S2352-7218(24)00255-9","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Page 757"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143139257","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":"Neighborhood social cohesion and sleep health among sexual minoritized US adults and intersections with sex/gender, race/ethnicity, and age.","authors":"Symielle A Gaston, Christopher Payne, Dana M Alhasan, Rupsha Singh, Jamie A Murkey, W Braxton Jackson, Chandra L Jackson","doi":"10.1016/j.sleh.2024.10.007","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.10.007","url":null,"abstract":"<p><strong>Objectives: </strong>Neighborhood social cohesion or living in communities characterized by trust and social ties may mitigate sleep disparities among sexual minoritized vs. heterosexual persons; but its relation to sleep health is understudied among sexual minoritized groups. To investigate associations between perceived neighborhood social cohesion and sleep health among adult US men and women who identified as \"lesbian or gay, bisexual, or something else,\" we used cross-sectional National Health Interview Survey data (2013-2018).</p><p><strong>Methods: </strong>Participants reported neighborhood social cohesion (categorized as low or medium vs. high) and sleep characteristics. Adjusting for sociodemographic, health, and residential characteristics, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals for poor sleep.</p><p><strong>Results: </strong>Among 4666 sexual minoritized adults, 44% reported low, 32% medium, and 24% high neighborhood social cohesion. Women, minoritized racial/ethnic groups, and young adults disproportionately reported low neighborhood social cohesion. Overall, low vs. high neighborhood social cohesion was associated with a higher prevalence of short sleep (PR=1.27 [95% confidence interval:1.11-1.45]) and all sleep disturbances (e.g., PR_{insomnia symptoms}=1.36 [1.19-1.55]). PRs were often higher as intersectionality or membership to multiple minoritized groups increased.</p><p><strong>Conclusions: </strong>Lower perceived neighborhood social cohesion was associated with poorer sleep. Fostering community cohesiveness may mitigate sleep disparities among sexual minoritized adults.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683045","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":"Neighborhood social vulnerability as a mediator of racial disparities in insomnia severity.","authors":"Philip Cheng, Matthew B Jennings, David Kalmbach, Dayna A Johnson, Salma Habash, Melynda D Casement, Christopher Drake","doi":"10.1016/j.sleh.2024.09.005","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.09.005","url":null,"abstract":"<p><strong>Study objectives: </strong>Recent data has indicated that Black Americans experience more severe insomnia compared to their White counterparts. Although previous studies have identified psychosocial mechanisms driving this disparity, little is known about the structural determinants of insomnia disparities. This study tested neighborhood social vulnerability as a mechanism driving Black-White disparities in insomnia severity in the United States.</p><p><strong>Methods: </strong>Participants with a previous diagnosis of insomnia (N = 196) reported their race and insomnia severity (Insomnia Severity Index). As a measure of the neighborhood environment Social Vulnerability Index was calculated by geocoding home address at the time of participation to the respective census tract from the 2020 US Census. A mediation analysis tested the indirect effect of the Social Vulnerability Index between race and insomnia severity.</p><p><strong>Results: </strong>Black participants reported worse insomnia severity compared to White participants. Black participants also had 3.3 times the odds of living in neighborhoods with higher social vulnerability compared to White participants, with a group median difference of 0.26 percentile points (scale 0 to 1). As hypothesized, results revealed a significant indirect effect of the Social Vulnerability Index, which accounted for 31.1% of the variance between race and insomnia severity.</p><p><strong>Conclusion: </strong>Living in a socially vulnerable neighborhood environment may be a mechanism driving racial disparities in insomnia severity. Interventions that consider structural determinants of health, including community-based and policy-level interventions could have an enhanced impact on addressing insomnia and its public health consequences.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between neighborhood factors and insomnia and their spatial clustering in Philadelphia, Pennsylvania.","authors":"Foster Osei Baah, Augustine Cassis Obeng Boateng, Janeese A Brownlow, Christine J So, Katherine E Miller, Philip Gehrman, Barbara Riegel","doi":"10.1016/j.sleh.2024.09.003","DOIUrl":"10.1016/j.sleh.2024.09.003","url":null,"abstract":"<p><strong>Background: </strong>Neighborhood-level adverse social determinants may be a risk factor for sleep health disparities. We examined the associations between neighborhood factors and insomnia and explored their spatial clustering in the city of Philadelphia, Pennsylvania.</p><p><strong>Methods: </strong>We conducted a cross-sectional analysis of data from Philadelphia residents who participated in online screening for insomnia-related research. Participants self-reported sex, age, body mass index, anxiety, post-traumatic stress disorder, depression, and insomnia symptoms. The sample was stratified as \"No Insomnia\" (≤7) and \"Insomnia\" (>7) based on the Insomnia Severity Index (range: 0-28). Neighborhood and participant data were merged using geospatial techniques. Multiple regression models and geospatial analysis were used to identify neighborhood variables that are associated with insomnia and their spatial distribution.</p><p><strong>Results: </strong>The sample (N = 350) was predominantly female (53%), middle-aged (40.8 ± 13.8), overweight (body mass index=26.1 ± 5.54), and 53.7% had insomnia. The insomnia group had significantly higher depression scores (14.6 ± 5.5), a large percentage had anxiety (64.4%) and post-traumatic stress disorder symptoms (31.9%), and largely resided in high crime (p < .001) and highly deprived neighborhoods (p = .034). Within the insomnia group, a 1-point increase in the number of spiritual centers in the neighborhood was associated with lower insomnia symptoms (b=-1.02, p = .002), while a 1-point increase in depression scores (b=0.44, p < .001) and residence in a highly deprived neighborhood (b=1.49, p = .021) was associated with greater insomnia.</p><p><strong>Conclusion: </strong>Disparities exist in the neighborhood determinants of insomnia and their spatial distribution in Philadelphia. Interventions targeting the spatial distribution of adverse social determinants may improve insomnia disparities.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142478083","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 Times","authors":"","doi":"10.1016/S2352-7218(24)00202-X","DOIUrl":"10.1016/S2352-7218(24)00202-X","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 5","pages":"Page 610"},"PeriodicalIF":3.4,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238077","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(24)00190-6","DOIUrl":"10.1016/S2352-7218(24)00190-6","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 5","pages":"Page A4"},"PeriodicalIF":3.4,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721824001906/pdfft?md5=fee12551b8503d1198b7885f3cf94f0a&pid=1-s2.0-S2352721824001906-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238078","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":"Falling Asleep in a Parent’s Arms","authors":"Nana Akua Annoh-Quarshie,&nbsp;Guest Contributor,&nbsp;Meir Kryger MD, Art Editor","doi":"10.1016/j.sleh.2024.09.001","DOIUrl":"10.1016/j.sleh.2024.09.001","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 5","pages":"Pages 525-526"},"PeriodicalIF":3.4,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238094","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}