Sleep advances : a journal of the Sleep Research Society最新文献

{"title":"\"Infantgram?\" recruitment of infants to a clinical sleep study via social media.","authors":"Cathal O'Connor, Hannah O'Leary, Deirdre Murray, Geraldine B Boylan","doi":"10.1093/sleepadvances/zpae063","DOIUrl":"10.1093/sleepadvances/zpae063","url":null,"abstract":"<p><strong>Study objectives: </strong>This study aimed to outline the strategy and outcomes of a study team in recruiting participants for an infant sleep study via social media during the COVID-19 pandemic, to assess the feasibility of recruitment via social media, and to quantitatively and qualitatively explore parental satisfaction and perceptions of recruitment via social media.</p><p><strong>Methods: </strong>The assessing sleep in infants with early-onset atopic dermatitis by longitudinal evaluation (SPINDLE) study recruited infants with and without atopic dermatitis for a longitudinal study assessing sleep. Infants were recruited via social media and their parents were interviewed to explore their experience of recruitment via social media.</p><p><strong>Results: </strong>In total, 57 controls and 33 cases were recruited. Of the 45 controls recruited via social media, 43 (95.6%) were recruited via Instagram and 2 (4.4%) were recruited via Twitter. Of the seven cases recruited via social media, 6 (85.7%) were recruited via Facebook (via sharing of Instagram posts by third parties on Facebook) and 1 (14.3%) was recruited via Instagram. All (100%, <i>n</i> = 28) mothers recruited via social media who completed the full study were satisfied with this approach to recruitment. Specific reasons why mothers reported engaging following exposure to the social media posts included the benefit of additional health checks for their baby, the benefit to scientific advancement, and the opportunity for a stimulating outing following the COVID-19 lockdowns.</p><p><strong>Conclusions: </strong>Our experience highlights parents' acceptance of recruitment via social media, the optimization of time and financial resources, and the benefit of using internet-based recruitment during a pandemic.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae063"},"PeriodicalIF":0.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448331/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CARDIA sleep ancillary study: study design and methods.","authors":"Kristen L Knutson, Kathryn J Reid, Sunaina Karanth, Nathan Kim, Sabra M Abbott, Shaina J Alexandria, Katharine Harrington, S Justin Thomas, Cora E Lewis, Pamela J Schreiner, Mercedes R Carnethon","doi":"10.1093/sleepadvances/zpae071","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae071","url":null,"abstract":"<p><p>Sleep and circadian disturbances are common and are experienced more often by Black compared to White individuals. We conducted an observational study of sleep that was ancillary to an ongoing cohort study, Coronary Artery Disease in Young Adults (CARDIA). The goal of the ancillary study will be to examine potential determinants of sleep/circadian disparities between Black and White adults in future analyses. Herein we describe the study design and methodology. Our ancillary study coincided with the Year 35 examination of the CARDIA study and was conducted in two phases (due to the SARS-COV-2 pandemic). Phase 1 involved only questionnaires to assess chronotype, restless legs syndrome, and the household sleep environment. Phase 2 involved three additional questionnaires to assess sleep quality, daytime sleepiness and insomnia symptoms, as well as two sleep devices. Participants wore a wrist activity monitor to assess sleep-wake patterns and light levels for 7 days and a home sleep apnea test for 1 night. A subset also had devices objectively record light, temperature, and sound levels in their bedrooms for 7 days. Sample sizes ranged based on assessment from 2200 to 2400, completing Phase 1 questionnaires, 899 with valid wrist actigraphy data, and 619 with a valid sleep apnea test. The data will be part of the full CARDIA dataset, which is available to researchers.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae071"},"PeriodicalIF":0.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11497611/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142514382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimated prevalence of obstructive sleep apnea by occupation and industry in England: a descriptive study.","authors":"Ryohei Kinoshita, Jennifer K Quint, Constantinos Kallis, Michael I Polkey","doi":"10.1093/sleepadvances/zpae069","DOIUrl":"10.1093/sleepadvances/zpae069","url":null,"abstract":"<p><strong>Study objectives: </strong>Obstructive sleep apnea (OSA) can induce excessive sleepiness, causing work-related injuries and low productivity. Most individuals with OSA in the United Kingdom are undiagnosed, and thus, theoretically, workplace screening, might by identifying these individuals improve both their individual health and overall productivity. However, the prevalence of OSA in different workplaces is unclear. This study aimed to estimate the prevalence of OSA by industries and occupations in England.</p><p><strong>Methods: </strong>The Health Survey for England 2019 dataset was combined with Sleep Heart Health Study dataset. We applied multiple imputation for the combined dataset to estimate OSA in the English population aged 40-64. We estimated the pooled prevalence of OSA by both industry and occupation by separating samples by Standard Industry Classification and Standard Occupation Classification.</p><p><strong>Results: </strong>The overall OSA prevalence estimated by imputation for ages 40-64 was 17.8% (95% CI = 15.9% to 19.9%). Separating those samples into industrial/occupational groups, the estimated prevalence of OSA varied widely by industry/occupation. Descriptive analysis revealed that the estimated prevalence of OSA was relatively higher in the Accommodation and food, Public administration and defence; compulsory social security, Construction industries, and Protective service occupations, health and social care associate professionals, and skilled construction and building trades occupations.</p><p><strong>Conclusions: </strong>In England in 2019, Accommodation and food, Public administration and defence; compulsory social security, Construction industries, and Protective service occupations, health and social care associate professionals, and skilled construction and building trades occupations showed a relatively higher prevalence of OSA indicating that they may be target populations for workplace screening.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae069"},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preliminary report: Sleep duration during late pregnancy predicts postpartum emotional responses among parents at risk for postpartum depression.","authors":"Gina M Mason, Zachary L Cohen, Jessica Obeysekare, Jared M Saletin, Katherine M Sharkey","doi":"10.1093/sleepadvances/zpae068","DOIUrl":"10.1093/sleepadvances/zpae068","url":null,"abstract":"<p><strong>Introduction: </strong>Sleep loss is common during the perinatal period; however, few studies have assessed potential consequences of insufficient sleep for postnatal emotional responding, a key contributor to parenting behaviors with implications for parent-infant bonding and mental health. To generate hypotheses for future work assessing perinatal sleep and emotion-related outcomes, this pilot study explored whether prenatal sleep duration predicted postnatal emotional responding in a sample at risk for postpartum depression.</p><p><strong>Methods: </strong>Participants were nine birthing parents with a prior mood disorder who were not in a current episode at enrollment. We estimated sleep with actigraphy collected for 1 week at 33 weeks' gestation and at 2 and 6 weeks postpartum. Following each week, participants completed an emotional evaluation task, rating the valence and arousal of standardized images from the International Affective Picture System. We tested whether average prenatal (33 weeks) nighttime sleep duration predicted concurrent and future responsiveness to emotional images, quantified by participants' reaction times and arousal/valence ratings.</p><p><strong>Results: </strong><i>Shorter prenatal sleep</i> duration predicted <i>faster reaction times</i>, both concurrently and at 2 weeks postpartum (<i>ps</i> ≤ .05), as well as <i>lower arousal ratings for negative images</i> at 2 and 6 weeks postpartum (<i>p</i>s ≤ .043).</p><p><strong>Conclusions: </strong>In this small sample of birthing parents at risk for postpartum depression, shorter prenatal sleep duration predicted faster reactions to emotional stimuli and blunted arousal responses to negative images. Although preliminary, these findings justify further study of the role of prenatal sleep in postpartum emotional responses and how these factors may impact parent-infant outcomes.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae068"},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11462443/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demographic characteristics and comorbidities of patients with narcolepsy: a propensity-matched cohort study.","authors":"Melissa C Lipford, Wui Ip, Samir Awasthi, J Layne Moore, Maja Tippmann-Peikert, Shahir Asfahan, Praveen Kumar-M, Gajinder Pal Singh, Jennifer Gudeman","doi":"10.1093/sleepadvances/zpae067","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae067","url":null,"abstract":"<p><strong>Study objectives: </strong>Narcolepsy has a complex phenotype owing to differences in symptomatology, disease severity, and comorbidities. This is the first study to use aggregate electronic health record (EHR) data and natural language processing (NLP) algorithms to characterize the demographics and comorbidities of a large cohort of patients with narcolepsy.</p><p><strong>Methods: </strong>First-time Mayo Clinic patients (2000-2020) who had ≥1 narcolepsy-specific ICD-9/10 code and ≥1 disease-supportive statement in the clinical notes (identified using an NLP algorithm) were identified. A control cohort was propensity matched for birth year, age at first institutional encounter, sex, race, ethnicity, number of diagnosis codes, and mortality. Common comorbidities were compared and ranked between cohorts.</p><p><strong>Results: </strong>In the EHR database (<i>N</i> = 6 389 186 patients), 2057 patients with narcolepsy were identified (median age, 32 years; 59.6% female; 92.6% white; and 89.2% non-Hispanic) and propensity matched with a control cohort. Among the top 20 comorbidities occurring more frequently in the narcolepsy cohort compared with the control cohort (odds ratio [OR], 1.67-3.94; <i>p</i> < .001]) were sleep disorders (restless legs syndrome, obstructive sleep apnea, and insomnia), mood disorders (depression, dysthymia, and anxiety), and pain disorders (chronic pain syndrome, migraine, fibromyalgia, carpal tunnel syndrome, and myalgia). Other comorbidities significantly associated with narcolepsy (OR, 1.33-1.95) were irritable bowel syndrome (<i>p</i> < .001), asthma (<i>p</i> < .001), cervical spondylosis (<i>p</i> < .01), syncope (<i>p</i> < .01), and hypothyroidism (<i>p</i> < .05).</p><p><strong>Conclusions: </strong>This propensity-matched cohort study demonstrates increased psychiatric, sleep, and pain disorders in patients living with narcolepsy and challenges beyond narcolepsy-specific symptoms in this population. Understanding common narcolepsy-associated comorbidities may assist in tailoring treatment modalities.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae067"},"PeriodicalIF":0.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11472146/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142482707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex differences in the role of sleep on cognition in older adults.","authors":"Yumiko Wiranto, Catherine Siengsukon, Diego R Mazzotti, Jeffrey M Burns, Amber Watts","doi":"10.1093/sleepadvances/zpae066","DOIUrl":"10.1093/sleepadvances/zpae066","url":null,"abstract":"<p><strong>Study objectives: </strong>The study aimed to investigate sex differences in the relationship between sleep quality (self-report and objective) and cognitive function across three domains (executive function, verbal memory, and attention) in older adults.</p><p><strong>Methods: </strong>We analyzed cross-sectional data from 207 participants with normal cognition (NC) or mild cognitive impairment (89 males and 118 females) aged over 60 years. The relationship between sleep quality and cognitive performance was estimated using generalized additive models. Objective sleep was measured with the GT9X Link ActiGraph, and self-reported sleep was measured with the Pittsburgh Sleep Quality Index.</p><p><strong>Results: </strong>We found that females exhibited lower executive function with increased objective total sleep time, with a steeper decline in performance after 400 minutes (<i>p</i> = .015). Additionally, longer objective sleep correlated with lower verbal memory linearly (<i>p</i> = .046). In males, a positive linear relationship emerged between objective sleep efficiency and executive function (<i>p</i> = .036). Self-reported sleep was not associated with cognitive performance in females and males with NC. However, in males with cognitive impairment, there was a nonlinear positive relationship between self-reported sleep and executive function (<i>p</i> < .001).</p><p><strong>Conclusions: </strong>Our findings suggest that the association between sleep parameters on cognition varies between older males and females, with executive function being most strongly associated with objective sleep for both sexes top of form. Interventions targeting sleep quality to mitigate cognitive decline in older adults may need to be tailored according to sex, with distinct approaches for males and females.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae066"},"PeriodicalIF":0.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11450268/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extending weeknight sleep duration in late-sleeping adolescents using morning bright light on weekends: a 3-week maintenance study.","authors":"Stephanie J Crowley, Elaine Poole, John Adams, Charmane I Eastman","doi":"10.1093/sleepadvances/zpae065","DOIUrl":"10.1093/sleepadvances/zpae065","url":null,"abstract":"<p><strong>Study objectives: </strong>Our sleep extension intervention in adolescents showed that gradually shifting weekday bedtime earlier plus one weekend of morning bright light advanced circadian phase and increased weeknight sleep duration. Here, we examine at-home maintenance of these changes.</p><p><strong>Methods: </strong>Fourteen adolescents (15.3-17.9 years; 7 female) completed a 7-week study. After usual sleep at home (2-week baseline), intervention participants (<i>n</i> = 8) gradually advanced weekday bedtime (1 hour earlier than baseline during week 3; 2 hours earlier in week 4) and received bright light (~6000 lux; 2.5 hours) on both mornings of the intervening weekend. During three maintenance weeks, intervention participants were instructed to maintain their school-day wake-up time on all days, keep their early week four bedtimes, except on weekends when they could go to bed up to 1 hour later, and get a 2.5-hour light box exposure within 5 minutes of waking on one morning (Saturday or Sunday) of both weekends at home. Control participants (<i>n</i> = 6) slept as usual at home and did not receive weekend bright light. Dim light melatonin onset (DLMO) was measured after the 2-week baseline, 2-week intervention, and 3-week maintenance in all participants. Actigraphic sleep-wake was collected throughout.</p><p><strong>Results: </strong>After the 2-week intervention, DLMOs advanced more compared to control (37.0 ± 40.0 minutes vs. -14.7 ± 16.6 minutes), weekday sleep duration increased by 69.7 ± 27.8 minutes and sleep onset was 103.7 ± 14.2 minutes earlier compared to baseline. After three maintenance weeks, intervention participants showed negligible DLMO delays (-4.9 ± 22.9 minutes); weekday fall-asleep times and sleep durations also remained stable.</p><p><strong>Conclusions: </strong>Early circadian phase and extended sleep can be maintained with at-home weekend bright light.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae065"},"PeriodicalIF":0.0,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11417015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A sociodemographic index identifies sex-related effects on insomnia in the Hispanic Community Health Study/Study of Latinos.","authors":"Natali Sorajja, Joon Chung, Carmela Alcántara, Sylvia Wassertheil-Smoller, Frank J Penedo, Alberto R Ramos, Krista M Perreira, Martha L Daviglus, Shakira F Suglia, Linda C Gallo, Peter Y Liu, Susan Redline, Carmen R Isasi, Tamar Sofer","doi":"10.1093/sleepadvances/zpae064","DOIUrl":"10.1093/sleepadvances/zpae064","url":null,"abstract":"<p><strong>Study objectives: </strong>Sex differences are related to both biological factors and the gendered environment. We constructed measures to model sex-related differences beyond binary sex.</p><p><strong>Methods: </strong>Data came from the baseline visit of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). We applied the least absolute shrinkage and selection operator penalized logistic regression of male versus female sex over sociodemographic, acculturation, and psychological factors jointly. Two \"gendered indices,\" the gendered index of sociodemographic environment (GISE) and gendered index of psychological and sociodemographic environment, summarizing the sociodemographic environment (GISE) and psychosocial and sociodemographic environment (GIPSE) associated with sex, were calculated by summing these variables, weighted by their regression coefficients. We examined the association of these indices with insomnia, a phenotype with strong sex differences, in sex-adjusted and sex-stratified analyses.</p><p><strong>Results: </strong>The distribution of GISE and GIPSE differed by sex with higher values in male individuals. In an association model with insomnia, male sex was associated with a lower likelihood of insomnia (odds ratio [OR] = 0.60, 95% CI [0.53, 0.67]). Including GISE in the model, the association was slightly weaker (OR = 0.63, 95% CI [0.56, 0.70]), and weaker when including instead GIPSE in the association model (OR = 0.78, 95% CI [0.69, 0.88]). Higher values of GISE and of GIPSE, more common in the male sex, were associated with a lower likelihood of insomnia, in analyses adjusted for sex (per 1 standard deviation of the index, GISE OR = 0.92, 95% CI [0.87, 0.99], GIPSE OR = 0.65, 95% CI [0.61, 0.70]).</p><p><strong>Conclusions: </strong>New measures such as GISE and GIPSE capture sex-related differences beyond binary sex and have the potential to better model and inform research studies of sleep health.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae064"},"PeriodicalIF":0.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11417013/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Searching for sleep in all the right places: My career in sleep research.","authors":"Priyattam J Shiromani","doi":"10.1093/sleepadvances/zpae055","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae055","url":null,"abstract":"<p><p>My research has always focused on sleep, whether monitoring neural activity (microwires, c-Fos, calcium imaging), triggering it with optogenetics or pharmacologically (anandamide, cholinergic agonists), or measuring levels of endogenous sleep agents such as adenosine. A recurring theme of my research is to use new tools to find the sweet spot in the brain where the signal to sleep begins. My goal is to identify the circuit, determine whether it degrades with age or disease, and repair the circuit when it fails. I am deeply grateful to my mentors for introducing me to the science of sleep, to my students and colleagues for helping me in my quest, and to the NIH and VA Research for supporting the research. Because of the collective efforts of sleep researchers, the public is more aware of the importance of sleep to a healthy lifestyle.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae055"},"PeriodicalIF":0.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11359167/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142115769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring the sleep health of adults: a scoping review of routine national surveillance systems.","authors":"Joshua A H Way, Seren Ucak, Chloe-Anne Martinez, Kate Sutherland, Kristina M Cook, Peter A Cistulli, Yu Sun Bin","doi":"10.1093/sleepadvances/zpae062","DOIUrl":"10.1093/sleepadvances/zpae062","url":null,"abstract":"<p><strong>Study objectives: </strong>The aims of this review were to identify existing national surveillance systems monitoring one or more domains of sleep health in adults, and to describe the specific sleep health indicators used.</p><p><strong>Methods: </strong>We systematically searched the gray and peer-reviewed literature for routinely conducted cross-sectional and longitudinal nationally representative health surveys that included the assessment of at least one domain of sleep health. The methodology involved: (1) targeted searches of the websites of national and international health agencies and statistics departments for 199 countries, (2) country-specific customized internet searches, and (3) country-specific electronic database searches of PubMed.</p><p><strong>Results: </strong>A total of 19 762 records were identified from both the gray and peer-reviewed literature. Sleep health surveillance at the national level was conducted by 51 countries (25.6%) across 69 national health surveys. Sleep quality (96.1% of countries that surveilled sleep) was the most frequently assessed followed by sleep duration (27.5%), sleep medication use (25.5%), sleep disorders (17.6%), daytime alertness (15.7%), sleep satisfaction (15.7%), and sleep timing (7.8%). Additionally, 34.8% of the surveys utilized multiple sleep health indicators.</p><p><strong>Conclusions: </strong>This study identified three significant gaps in the coverage of sleep health within national surveillance systems. Limited population sleep data in low- and middle-income countries, inconsistent use of sleep-related items in surveys and questionnaires, and substantial variability in the definitions of sleep health indicators. Advocacy for the inclusion of sleep health within national surveillance systems may be warranted given the important role sleep plays in public health.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae062"},"PeriodicalIF":0.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11417014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}