Sleep Health最新文献

{"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":"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":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12086259/pdf/","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":"OA","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":"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":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12037872/pdf/","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":"OA","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":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12003698/pdf/","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":"OA","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}

{"title":"Associations between habitual sleep characteristics and cardiometabolic disease risk in corporate executives","authors":"Paula R. Pienaar PhD ,&nbsp;Laura C. Roden PhD ,&nbsp;Cécile R.L. Boot PhD ,&nbsp;Willem van Mechelen PhD, MD ,&nbsp;Jason A. Suter MD ,&nbsp;Estelle V. Lambert PhD ,&nbsp;Dale E. Rae PhD","doi":"10.1016/j.sleh.2024.07.007","DOIUrl":"10.1016/j.sleh.2024.07.007","url":null,"abstract":"<div><h3>Objectives</h3><p>Corporate executive job demands may lead to poor sleep habits, increasing their risk for cardiometabolic disease. This study aimed to describe and explore associations between objectively measured habitual sleep characteristics and cardiometabolic disease risk of corporate executives, while accounting for occupational, psychological, and lifestyle factors.</p></div><div><h3>Methods</h3><p>Habitual sleep was measured using wrist-worn actigraphy and a sleep diary over seven consecutive days in 61 (68.3% men) corporate executives aged 46.4 ± 8.7<!--> <!-->years. A composite cardiometabolic disease risk score was determined using body mass index, waist circumference, blood pressure and fasting glucose and lipid concentrations. Prediction models were built using a backward stepwise selection approach to explore associations between sleep characteristics and cardiometabolic disease risk factors adjusting for occupational, psychological, and lifestyle covariates.</p></div><div><h3>Results</h3><p>Average total sleep time was 6.60 ± 0.75 hours, with 51.7% of participants reporting poor sleep quality and 26.2% extending their weekend sleep. Adjusted models showed that lower sleep efficiency (β = −<!--> <!-->0.25, 95%CI: −<!--> <!-->0.43; −<!--> <!-->0.08, <em>P</em> = .006), shorter weekday total sleep time (β = −<!--> <!-->1.37, 95% CI: −<!--> <!-->2.41, −<!--> <!-->0.32; <em>P</em> = .011) and catch-up sleep (β = 0.84, 95%CI: 0.08, 1.60, <em>P</em> = .002) were associated with higher cardiometabolic disease risk scores. Adjusted models also found that shorter average time-in-bed (ß<!--> <!-->=<!--> <!-->−<!--> <!-->2.00, 95%CI: −<!--> <!-->3.76; −<!--> <!-->0.18, <em>P</em> = .031), average total sleep time (ß<!--> <!-->=<!--> <!-->1.98, 95%CI: −<!--> <!-->3.70; −<!--> <!-->0.25, <em>P</em> = .025) and weekday total sleep time (β = −<!--> <!-->2.13, 95%CI: −<!--> <!-->3.56; −<!--> <!-->0.69, <em>P</em> = .025) as well as catch-up sleep (β = 1.67, 95% CI: 0.52; 2.83; <em>P</em> = .012) were all associated with a higher body mass index.</p></div><div><h3>Conclusion</h3><p>Corporate executives who compromise sleep duration during the working week may increase their risk for obesity and future cardiometabolic disease.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 5","pages":"Pages 550-557"},"PeriodicalIF":3.4,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721824001669/pdfft?md5=fe19e6cb2127c89d30fcbdbcbb6e8715&pid=1-s2.0-S2352721824001669-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142047343","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":"The measurement of young children’s nocturnal sleep health and the development of the Perception of Infant and Toddler Sleep Scale (PoITSS) in Aotearoa New Zealand whānau (families)","authors":"Louise J. Fangupo PhD ,&nbsp;Jillian J. Haszard PhD ,&nbsp;Takiwai Russell-Camp BMVA ,&nbsp;Rachael W. Taylor PhD ,&nbsp;Rosalina Richards PhD ,&nbsp;Barbara C. Galland PhD ,&nbsp;Justine Camp PhD","doi":"10.1016/j.sleh.2024.07.004","DOIUrl":"10.1016/j.sleh.2024.07.004","url":null,"abstract":"<div><h3>Objectives</h3><p>To modify an existing questionnaire Brief Infant Sleep Questionnaire – Revised (BISQ-R) to ensure that it is suitable to measure nocturnal sleep health in a diverse sample of young children from Aotearoa New Zealand whānau (families), and to develop a “Perception of Infant and Toddler Sleep Scale” (PoITSS) to use as a primary outcome measurement in an upcoming trial.</p></div><div><h3>Methods</h3><p>Items from the BISQ-R were adapted for use among ethnically diverse whānau, and tested online with caregivers of 0-2 year old children. A PoITSS score was generated by scaling the responses from three of the questionnaire items to create a value between 0 (very poor) and 10 (very good). Caregivers provided qualitative feedback about the ease of interpreting and answering questionnaire items.</p></div><div><h3>Results</h3><p>Caregivers of 957 children (35% Māori, 12% Pacific) completed the questionnaire. Few differences in children’s nocturnal sleep were observed by demographic characteristics. The mean PoITSS score was 6.9 (SD 2.3) and was slightly higher among Māori children (mean difference 0.4, 95% CI 0.1, 0.7). Test-retest indicated good reliability (ICC<!--> <!-->=<!--> <!-->0.81). While the majority (86%) of caregivers did not find it difficult to answer any of the items which formed the PoITSS, qualitative feedback indicated that simple modifications to some items would help ensure that they would be well understood by most caregivers.</p></div><div><h3>Conclusions</h3><p>Items from the BISQ-R were successfully adapted, and the PoITSS scale was shown to be appropriate, for use in ethnically diverse Aotearoa New Zealand whānau with young children.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 5","pages":"Pages 567-575"},"PeriodicalIF":3.4,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S235272182400161X/pdfft?md5=50712382b53e7af418b381f62445c455&pid=1-s2.0-S235272182400161X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141917888","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":"Does sleep quality differ across political parties? Results from a survey of Arizona adults","authors":"Connor M. Sheehan PhD ,&nbsp;Nathan D. Martin PhD","doi":"10.1016/j.sleh.2024.07.005","DOIUrl":"10.1016/j.sleh.2024.07.005","url":null,"abstract":"<div><h3>Objectives</h3><p>In this study, we explore the relationship between political party affiliation and sleep quality since the COVID-19 pandemic.</p></div><div><h3>Methods</h3><p>We analyze online survey data collected for a sample of adult residents of Arizona in February and March 2023 (N = 922). We fit ordered-logistic regression models to examine how party affiliation and changes to one’s personal life due to the COVID-19 pandemic are associated with the self-reported frequency of sleep difficulty.</p></div><div><h3>Results</h3><p>Compared to Republicans, Democrats and Independents report significantly worse sleep quality, net of the influence of sociodemographic controls. Additionally, having experienced major changes to one’s personal life due to the COVID-19 pandemic is significantly associated with more frequent trouble sleeping for Democrats and Independents, but not for Republicans.</p></div><div><h3>Conclusions</h3><p>We document a partisan divide in sleeping patterns among adults in a swing state and highlight an underappreciated factor contributing to sleep health amidst heightened political polarization.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 5","pages":"Pages 590-593"},"PeriodicalIF":3.4,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141914320","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":"Exploring the relationship between early cognitive ability and age-60 sleep quality: The Newcastle Thousand Families Study birth cohort","authors":"Jess Grebby BSc ,&nbsp;Emma L. Slack PhD ,&nbsp;Natalja Wells-Dean BSc ,&nbsp;Helen St. Clair-Thompson PhD ,&nbsp;Mark S. Pearce PhD","doi":"10.1016/j.sleh.2024.07.002","DOIUrl":"10.1016/j.sleh.2024.07.002","url":null,"abstract":"<div><h3>Objectives</h3><p>Poor sleep quality has been linked to adverse health outcomes. It is important to understand factors contributing to sleep quality. Previous research has suggested increased cognition and education duration have a protective effect on sleep quality in old age. This study aimed to assess the hypothesis that age-11 intelligence quotient and highest achieved education level are associated with subjective sleep quality at age 60.</p></div><div><h3>Methods</h3><p>Participants are members of the Newcastle Thousand Families Study birth cohort, all born in 1947. Data included a calculated intelligence quotient score based on participant’s 11-plus exam results, highest achieved education level, social class at ages 25 and 50 and global Pittsburgh Sleep Quality Index (PSQI) at age 60. Multivariable regression analysis was used to investigate effect sizes of variables on global PSQI, which formed the basis of a path analysis model.</p></div><div><h3>Results</h3><p>After excluding participants with incomplete data, and those who had been diagnosed with sleep apnea, 251 participants were included in the path analysis model. Education level was associated with global PSQI (R<!--> <!-->=<!--> <!-->−<!--> <!-->0.653; 95% CI −<!--> <!-->1.161, −<!--> <!-->0.145; <em>P</em> = .012) but age-11 intelligence quotient was not. While a similar association was seen for women in the stratified analysis, no such associations were seen for men.</p></div><div><h3>Conclusions</h3><p>The results of this study show an inverse relationship between education level, but not childhood intelligence quotient, and sleep quality in later life, in women only. Future research is needed to examine the mechanism underlying this relationship.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 5","pages":"Pages 594-601"},"PeriodicalIF":3.4,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721824001591/pdfft?md5=55d7f872f347f2b51fd1028f20789aa1&pid=1-s2.0-S2352721824001591-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141903279","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}