Sleep HealthPub Date : 2024-12-01DOI: 10.1016/j.sleh.2024.07.006
Seung Wan Kim PhD , Sangeetha Madhavan PhD
{"title":"Employment, income, and sleep in South Africa: An actor-partner interdependence model approach","authors":"Seung Wan Kim PhD , Sangeetha Madhavan PhD","doi":"10.1016/j.sleh.2024.07.006","DOIUrl":"10.1016/j.sleh.2024.07.006","url":null,"abstract":"<div><h3>Objective</h3><div>We analyze the relationship between employment status, income, and sleep in South Africa to address two research questions: (1) How does employment status influence the sleep quantity of the individual and their partner? (2) How does income impact the sleep quantity of the individual and their partner?</div></div><div><h3>Method</h3><div>Using data from 1600 Black African couples in the South African Time Use Study, we employ the Actor-Partner Interdependence Model to investigate the relationship between employment status, income, and sleep in couples. We categorize nighttime sleep into three categories: recommended sleep (7-9 hours), short sleep (<7 hours), and long sleep (>9 hours).</div></div><div><h3>Results</h3><div>Employed individuals were more likely to get the recommended amount of sleep and less likely to experience long sleep. However, men whose wives are employed are almost twice as likely as men whose wives are unemployed to experience short sleep, and they experience 47% lower risk of long sleep. Men with a medium level of income have a higher risk of short sleep than those with low income, while those in the highest income category are more likely to get the recommended amount of sleep.</div></div><div><h3>Conclusion</h3><div>These results highlight the intricate dynamics between managing employment demands and securing economic stability for both men and women in the context of high unemployment and shifting gender norms.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 643-650"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356171","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}
Sleep HealthPub Date : 2024-12-01DOI: 10.1016/j.sleh.2024.07.011
Mihyeon Kim MPH , Sarah Lyon-Caen MSc , Sam Bayat MD, PhD , Claire Philippat PhD , Sabine Plancoulaine MD, PhD
{"title":"Intrafamilial associations of sleep multitrajectory groups between ages of 3 and 60 months in the SEPAGES cohort","authors":"Mihyeon Kim MPH , Sarah Lyon-Caen MSc , Sam Bayat MD, PhD , Claire Philippat PhD , Sabine Plancoulaine MD, PhD","doi":"10.1016/j.sleh.2024.07.011","DOIUrl":"10.1016/j.sleh.2024.07.011","url":null,"abstract":"<div><h3>Objectives</h3><div>We investigated intrafamilial sleep evolution by identifying children’s sleep multitrajectory groups between 3- and 60-month of age and their association with parental sleep multitrajectory groups.</div></div><div><h3>Methods</h3><div>We included 180 children from the SEPAGES cohort (Grenoble, France) whose parents belonged to previously identified sleep multitrajectory groups, through group-based multitrajectory modeling, between 3 and 36<!--> <!-->months postpartum, using nighttime (NSD) and weekend daytime (DSD) sleep durations and subjective sleep loss, comprising “No,” “Subjective,” and “Global” sleep problems groups. Child sleep information (NSD, DSD, subjective sleep loss, night waking, and sleep onset difficulties) was collected by parental questionnaires at 3-, 12-, 36-, and 60-month. We identified sleep multitrajectory groups using group-based multitrajectory modeling in children and examined their associations with parental sleep multitrajectory groups using multinomial logistic regressions.</div></div><div><h3>Results</h3><div>We identified three sleep multitrajectory groups in children: the “No/few” group (29.4%) had moderate NSD, long DSD, low subjective sleep loss/night waking/sleep onset difficulties prevalence, the “Moderate” group (60.0%) had long NSD and moderate DSD, and medium subjective sleep loss/night waking/sleep onset difficulties prevalence, and the “Global” group (10.6%) had the shortest NSD and DSD, and the highest subjective sleep loss/night waking/sleep onset difficulties prevalence. After adjusting for covariates, mothers in the “Global” group were more likely to have children in the same group, and mothers in “Subjective” and “Global” groups were less likely to have children in the “Moderate” group than in the “No/few” group. No association was identified with paternal or couple sleep multitrajectory groups.</div></div><div><h3>Conclusions</h3><div>The observed associations between parent-child sleep multitrajectory groups suggest greater maternal sensitivity to or involvement in the child’s sleep than the fathers. Early preventive sleep actions could improve sleep in children and mothers.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 738-748"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298945","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}
Sleep HealthPub Date : 2024-12-01DOI: 10.1016/j.sleh.2024.08.004
Ann W. Nguyen PhD , Weidi Qin PhD , Elliane Irani PhD , Uchechi A. Mitchell PhD , Karen D. Lincoln PhD
{"title":"Discrimination and sleep disturbance among older Black Americans: A longitudinal analysis of the Health and Retirement Study","authors":"Ann W. Nguyen PhD , Weidi Qin PhD , Elliane Irani PhD , Uchechi A. Mitchell PhD , Karen D. Lincoln PhD","doi":"10.1016/j.sleh.2024.08.004","DOIUrl":"10.1016/j.sleh.2024.08.004","url":null,"abstract":"<div><h3>Objectives</h3><div>Black and older adults have higher risk for sleep problems than their White and younger counterparts. Yet, our understanding of the determinants of sleep problems specifically among older Black adults is severely limited. The aim of this study was to determine whether everyday and major discrimination are longitudinally associated with sleep disturbance in a nationally representative sample of older Black adults.</div></div><div><h3>Methods</h3><div>Non-Latinx Black respondents aged 51+ were selected from waves 8 (2006) through 15 (2020) of the Health and Retirement Study (baseline N = 1397). Sleep disturbance was measured with the 4-item Jenkins Sleep Questionnaire. The 6-item Everyday Discrimination Scale was used to measure everyday discrimination, and the Major Experiences of Discrimination Scale was used to measure major discrimination. Analyses controlled for sociodemographics, health behaviors, and health conditions. Lagged mixed-effects linear regression models were performed to test the longitudinal associations between baseline discrimination and sleep disturbance over 12<!--> <!-->years.</div></div><div><h3>Results</h3><div>Higher baseline everyday discrimination was longitudinally associated with more severe sleep disturbance. Compared to respondents who reported no major discrimination at baseline, those who reported two or more major discrimination experiences had more severe sleep disturbance over time.</div></div><div><h3>Conclusions</h3><div>This study provides critical information on the possible longitudinal drivers of sleep disparities at the population level. This information has implications for better understanding the mechanisms of health disparities and for attaining health equity.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 691-696"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142401648","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}
Sleep HealthPub Date : 2024-12-01DOI: 10.1016/j.sleh.2024.08.007
Esben Ahrens PhD , Poul Jennum DMSc , Jonas Duun-Henriksen PhD , Bjarki Djurhuus PhD , Preben Homøe DMSc , Troels W. Kjær PhD , Martin Christian Hemmsen PhD
{"title":"Automatic sleep staging based on 24/7 EEG SubQ (UNEEG medical) data displays strong agreement with polysomnography in healthy adults","authors":"Esben Ahrens PhD , Poul Jennum DMSc , Jonas Duun-Henriksen PhD , Bjarki Djurhuus PhD , Preben Homøe DMSc , Troels W. Kjær PhD , Martin Christian Hemmsen PhD","doi":"10.1016/j.sleh.2024.08.007","DOIUrl":"10.1016/j.sleh.2024.08.007","url":null,"abstract":"<div><h3>Goal and aims</h3><div>Performance evaluation of automatic sleep staging on two-channel subcutaneous electroencephalography.</div></div><div><h3>Focus technology</h3><div>UNEEG medical’s 24/7 electroencephalography SubQ (the SubQ device) with deep learning model U-SleepSQ.</div></div><div><h3>Reference method/technology</h3><div>Manually scored hypnograms from polysomnographic recordings.</div></div><div><h3>Sample</h3><div>Twenty-two healthy adults with 1-6 recordings per participant. The clinical study was registered at ClinicalTrials.gov with the identifier NCT04513743.</div></div><div><h3>Design</h3><div>Fine-tuning of U-Sleep in 11-fold cross-participant validation on 22 healthy adults. The resultant model was called U-SleepSQ.</div></div><div><h3>Core analytics</h3><div>Bland-Altman analysis of sleep parameters. Advanced multiclass model performance metrics: stage-specific accuracy, specificity, sensitivity, kappa (<em>κ</em>), and F1 score. Additionally, Cohen’s <em>κ</em> coefficient and macro F1 score. Longitudinal and participant-level performance evaluation.</div></div><div><h3>Additional analytics and exploratory analyses</h3><div>Exploration of model confidence quantification. Performance vs. age, sex, body mass index, SubQ implantation hemisphere, normalized entropy, transition index, and scores from the following three questionnaires: Morningness-Eveningness Questionnaire, World Health Organization’s 5-item Well-being Index, and Major Depression Inventory.</div></div><div><h3>Core outcomes</h3><div>There was a strong agreement between the focus and reference method/technology.</div></div><div><h3>Important supplemental outcomes</h3><div>The confidence score was a promising metric for estimating the reliability of each hypnogram classified by the system.</div></div><div><h3>Core conclusion</h3><div>The U-SleepSQ model classified hypnograms for healthy participants soon after implantation and longitudinally with a strong agreement with the gold standard of manually scored polysomnographics, exhibiting negligible temporal variation.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 612-620"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142478095","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}
Sleep HealthPub Date : 2024-12-01DOI: 10.1016/j.sleh.2024.08.010
Dayna A. Johnson PhD, MPH , Darlynn M. Rojo-Wissar PhD, MPH , Selena T. Nguyen-Rodriguez PhD, MPH , Ada Eban-Rothschild PhD , Rosemary Estevez Burns PhD , Carleara Weiss PhD , Michel A. Cramer Bornemann MD , Morenikeji Komolafe MD , Namni Goel PhD
{"title":"Diversity, equity, and inclusion: Findings from the Sleep Research Society","authors":"Dayna A. Johnson PhD, MPH , Darlynn M. Rojo-Wissar PhD, MPH , Selena T. Nguyen-Rodriguez PhD, MPH , Ada Eban-Rothschild PhD , Rosemary Estevez Burns PhD , Carleara Weiss PhD , Michel A. Cramer Bornemann MD , Morenikeji Komolafe MD , Namni Goel PhD","doi":"10.1016/j.sleh.2024.08.010","DOIUrl":"10.1016/j.sleh.2024.08.010","url":null,"abstract":"<div><h3>Objectives</h3><div>To characterize representation and inclusion among Sleep Research Society members and examine associations between sociodemographic features and Sleep Research Society experiences.</div></div><div><h3>Methods</h3><div>The Sleep Research Society Taskforce for Diversity and Inclusion developed a web-based questionnaire in 2021, assessing membership data and Sleep Research Society experiences (self-initiated and society-initiated participation, feeling very welcomed, perceptions of inclusiveness, and diversity of viewpoints represented). Frequencies were calculated and adjusted Poisson regression models with robust variance were fit to estimate associations.</div></div><div><h3>Results</h3><div>Most participants (n = 388; 35.7% of members) were aged 18-49 (61%), non-Hispanic White (65%), and women (59%). Regarding inclusion, 41% participated in ≥2 Sleep Research Society self-initiated activities (abstract submission), 56% in Sleep Research Society-initiated activities (appointed position), 51% felt welcomed, whereas 52% perceived a lack of inclusivity and 65% a lack of diverse viewpoints. Historically minoritized groups and women felt less welcomed compared to non-Hispanic White members and men. Older, biracial, women, gender-divergent, and U.S.-born individuals, were less likely to perceive that there was a diversity of viewpoints represented in the Sleep Research Society. Members of ≥10<!--> <!-->years and those with a doctoral degree were more likely to participate in Sleep Research Society activities, while sexual and gender minoritized individuals were less likely to do so. Sexual and gender minoritized individuals were more likely to report Sleep Research Society was noninclusive.</div></div><div><h3>Conclusions</h3><div>Historically minoritized individuals are under-represented in Sleep Research Society and a majority of respondents report not feeling welcomed. These results serve as a baseline benchmark and example for assessing the impact of ongoing and future diversity and inclusion initiatives and provide targets for expanding opportunities for underrepresented individuals in sleep/circadian societies.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 731-737"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142478096","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}
Sleep HealthPub Date : 2024-12-01DOI: 10.1016/j.sleh.2024.09.002
Clara Sancho-Domingo PhD , José Luis Carballo PhD
{"title":"Sleep patterns in adolescents and associations with substance use","authors":"Clara Sancho-Domingo PhD , José Luis Carballo PhD","doi":"10.1016/j.sleh.2024.09.002","DOIUrl":"10.1016/j.sleh.2024.09.002","url":null,"abstract":"<div><h3>Objectives</h3><div>Good sleep during adolescence is crucial for maintaining physical and psychological health; however, sleep disturbance during this period may contribute to health risks, such as substance use. This study aimed to identify the latent sleep patterns across male and female adolescents, and their association with drug use.</div></div><div><h3>Method</h3><div>A cross-sectional study was conducted involving 1391 high school students (aged 15-17; 56.4% female). Participants completed the brief Pittsburgh Sleep Quality Index alongside other sleep measures, and the Timeline Follow-Back and Drug Use History Questionnaire to measure substance use. A multiple-group latent class analysis was used to identify sleep patterns across sexes, and pairwise Logistic Regression models to compare their association with substance use.</div></div><div><h3>Results</h3><div>Four sleep patterns were identified with varying degrees of sleep difficulties: \"Good Sleep\" (43.3%), \"Night Awakenings\" (31.8%), \"Poor Efficiency and Sleep Onset\" (9.4%), and \"Poor Sleep\" (15.5%). Female adolescents were more likely to belong to Poor Sleep and Poor Efficiency and Sleep Onset patterns, and male adolescents to Good Sleep. Likewise, binge drinking and using alcohol for a longer period were associated with experiencing Poor Efficiency and Sleep Onset (OR<!--> <!-->=<!--> <!-->1.03 and 2.3, respectively); smoking tobacco within the past month was linked to Night Awakenings (OR<!--> <!-->=<!--> <!-->2.2); and using cannabis or illegal drugs to the Poor Sleep pattern (OR<!--> <!-->=<!--> <!-->2.4 and 2.6, respectively).</div></div><div><h3>Conclusions</h3><div>Varied sleep difficulties exist among adolescents that significantly correlate with different aspects of drug use. Targeted interventions that address both sleep and drug prevention are recommended.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 6","pages":"Pages 749-756"},"PeriodicalIF":3.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510642","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":"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 , Samantha Conley PhD, RN , Meghan O’Connell MPH , Zequan Wang PhD, RN , 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}
Sleep HealthPub Date : 2024-12-01DOI: 10.1016/j.sleh.2024.08.009
Bin Liu UG , Yu Qian UG , Hao Lin UG , Shuyue Zhao UG , Jiacheng Ying UG , Weiwei Chen UG , Peiyang Luo UG , Jiayu Li MD, PhD , Xiaohui Sun MD, PhD , Zhixing He MD, PhD , Ding Ye MD, PhD , Yingying Mao MD, PhD
{"title":"Sleep pattern, genetic risk, and the risk of incident rheumatoid arthritis: A cohort study","authors":"Bin Liu UG , Yu Qian UG , Hao Lin UG , Shuyue Zhao UG , Jiacheng Ying UG , Weiwei Chen UG , Peiyang Luo UG , Jiayu Li MD, PhD , Xiaohui Sun MD, PhD , Zhixing He MD, PhD , Ding Ye MD, PhD , 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}
Sleep HealthPub Date : 2024-12-01DOI: 10.1016/j.sleh.2024.08.002
Shanshan Yang MD, PhD , Rongrong Li MASc , Guangdong Liu MD, PhD , Shengshu Wang MD, PhD , Xuehang Li MASc , Shimin Chen MASc , Yali Zhao MD, PhD , Miao Liu MD, PhD , Yunxi Liu MD, PhD , Yao He MD, PhD
{"title":"Sleep status of centenarians and its association with death in the China Hainan Centenarian Cohort Study","authors":"Shanshan Yang MD, PhD , Rongrong Li MASc , Guangdong Liu MD, PhD , Shengshu Wang MD, PhD , Xuehang Li MASc , Shimin Chen MASc , Yali Zhao MD, PhD , Miao Liu MD, PhD , Yunxi Liu MD, PhD , 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}