Sleep Health最新文献

{"title":"Mediating role of obstructive sleep apnea in altering slow-wave activity and elevating Alzheimer's disease risk: Pilot study from a northern Taiwan cohort.","authors":"Cheng-Yu Tsai, Chien-Ling Su, Huei-Tyng Huang, Hsin-Wei Lin, Jia-Wei Lin, Ng Cheuk Hei, Wun-Hao Cheng, Yen-Ling Chen, Arnab Majumdar, Jiunn-Horng Kang, Kang-Yun Lee, Zhihe Chen, Yi-Chih Lin, Cheng-Jung Wu, Yi-Chun Kuan, Yin-Tzu Lin, Chia-Rung Hsu, Hsin-Chien Lee, Wen-Te Liu","doi":"10.1016/j.sleh.2024.08.012","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.08.012","url":null,"abstract":"<p><strong>Objectives: </strong>Obstructive sleep apnea is associated with alterations in slow-wave activity during sleep, potentially increasing the risk of Alzheimer's disease. This study investigated the associations between obstructive sleep apnea manifestations such as respiratory events, hypoxia, arousal, slow-wave patterns, and neurochemical biomarker levels.</p><p><strong>Methods: </strong>Individuals with suspected obstructive sleep apnea underwent polysomnography. Sleep disorder indices, oxygen metrics, and slow-wave activity data were obtained from the polysomnography, and blood samples were taken the following morning to determine the plasma levels of total tau (T-Tau) and amyloid beta-peptide 42 (Aβ₄₂) by using an ultrasensitive immunomagnetic reduction assay. Subsequently, the participants were categorized into groups with low and high Alzheimer's disease risk on the basis of their computed product Aβ₄₂ × T-Tau. Intergroup differences and the associations and mediation effects between sleep-related parameters and neurochemical biomarkers were analyzed.</p><p><strong>Results: </strong>Forty-two participants were enrolled, with 21 assigned to each of the low- and high-risk groups. High-risk individuals had a higher apnea-hypopnea index, oxygen desaturation index (≥3%, ODI-3%), fraction of total sleep time with oxygen desaturation (SpO_2-90% _TST), and arousal index and greater peak-to-peak amplitude and slope in slow-wave activity, with a correspondingly shorter duration, than did low-risk individuals. Furthermore, indices such as the apnea-hypopnea index, ODI-3% and SpO_2-90% _TST were found to indirectly affect slow-wave activity, thereby raising the Aβ₄₂ × T-Tau level.</p><p><strong>Conclusions: </strong>Obstructive sleep apnea manifestations, such as respiratory events and hypoxia, may influence slow-wave sleep activity (functioning as intermediaries) and may be linked to elevated neurochemical biomarker levels. However, a longitudinal study is necessary to determine causal relationships among these factors.</p><p><strong>Statement of significance: </strong>This research aims to bridge gaps in understanding how obstructive sleep apnea is associated with an elevated risk of Alzheimer's disease, providing valuable knowledge for sleep and cognitive health.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142478097","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}

{"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":"Association of sleep timing, sleep duration, and sleep latency with metabolic syndrome in middle-aged adults in Korea: A cross-sectional and longitudinal study.","authors":"Younghwa Baek, Kyoungsik Jeong, Siwoo Lee","doi":"10.1016/j.sleh.2024.06.002","DOIUrl":"https://doi.org/10.1016/j.sleh.2024.06.002","url":null,"abstract":"<p><strong>Objective: </strong>Sleep is a potential risk factor for metabolic syndrome. We investigated the associations of various sleep characteristics with the status and incidence of metabolic syndrome in middle-aged Koreans.</p><p><strong>Methods: </strong>Using data from a community-based Korean Medicine Daejeon Citizen Cohort study on participants aged 30-50years, cross-sectional (n = 1984) and longitudinal (n = 1216, median follow-up: 2.1years) analyses were performed. To study the association of metabolic syndrome and five components with various sleep characteristics, measured using the Pittsburgh Sleep Quality Index, we used Poisson and logistic regression and Cox proportional hazard regression analyses, adjusting for covariates.</p><p><strong>Results: </strong>Of 1984 participants, 66%, 19%, and 15% belonged to the non-metabolic syndrome, pre-metabolic syndrome, and metabolic syndrome groups, respectively. After covariate adjustments, the pre-metabolic syndrome group was associated with late mid-sleep time (≥5:00; prevalence ratios 1.61, 95% confidence interval 1.01-2.54) and late bedtime (≥2:00; prevalence ratios 1.55, 95% confidence interval 1.03-2.34), and the metabolic syndrome group was associated with long sleep latency (prevalence ratios 1.33, 95% confidence interval 1.03-1.73), poor sleep quality (prevalence ratios 1.38, 95% confidence interval 1.07-1.78), and early wake time (<6:00; prevalence ratios 1.29, 95% confidence interval 1.01-1.63). Longitudinal analysis of participants without metabolic syndrome at baseline indicated a significant increase in metabolic syndrome risk associated with very short sleep duration (<6 hours; hazard ratio 1.72, 95% confidence interval 1.06-2.79), long sleep latency (>30 minutes; hazard ratio 1.86, 95% confidence interval 1.1-3.12), and early wake time (<6:00 o'clock; hazard ratio 1.73, 95% confidence interval 1.01-2.97).</p><p><strong>Conclusion: </strong>Sleep characteristics, such as short duration, long latency, and early wake time, were associated with an increased risk of metabolic syndrome in middle-aged adults.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037380","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 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}

{"title":"Exploring the association between income inequality and sleep in Canadian adolescents: A path analysis approach","authors":"","doi":"10.1016/j.sleh.2024.03.008","DOIUrl":"10.1016/j.sleh.2024.03.008","url":null,"abstract":"<div><h3>Objectives</h3><p>An estimated 30% of Canadian adolescents do not get the recommended 8-10<!--> <span><span>hours of sleep. No prior study has examined the role of income inequality<span>, the gap between rich and poor within a society, in adolescent sleep. The aim of this study is to examine the association between income inequality and sleep duration among Canadian adolescents, how this association differs by gender, and whether depressive symptoms, anxiety, and </span></span>social cohesion mediate this relationship.</span></p></div><div><h3>Methods</h3><p><span>Multilevel path models were conducted using cross-sectional survey data from 74,501 adolescents who participated in the Cannabis, Obesity, Mental health, </span>Physical activity<span><span>, Alcohol use<span>, Smoking, and Sedentary behavior (COMPASS) study in 2018-2019. Income inequality was measured at the census division level and </span></span>sleep duration, gender, depressive symptoms, anxiety, and social cohesion were measured at the individual level.</span></p></div><div><h3>Results</h3><p><span>A 1% increase in income inequality was associated with a 3.67-minute decrease in sleep duration (95% CI</span> <!-->=<!--> <!-->−<!--> <!-->5.64 to −<!--> <!-->1.70). The cross-level interactions between income inequality and gender were significant, suggesting that income inequality has more adverse associations with sleep among females than males. Both depressive symptoms and anxiety were significant mediators, wherein greater income inequality was associated with higher levels of depressive symptoms and anxiety, which were in turn, associated with a shorter sleep duration.</p></div><div><h3>Conclusion</h3><p>Interventions that reduce income inequality may prevent depressive symptoms and anxiety and improve sleep in adolescents. Reducing societal income gaps may improve adolescent sleep especially in those attending school in high income inequality areas, females, and those experiencing depressive symptoms and anxiety.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 410-417"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140877675","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}