Sleep Health最新文献

{"title":"The relationship between multiple concussions and multidimensional sleep quality in collegiate-aged, active athletes","authors":"","doi":"10.1016/j.sleh.2024.04.005","DOIUrl":"10.1016/j.sleh.2024.04.005","url":null,"abstract":"<div><h3>Objectives</h3><p>Determine the association of cumulative concussion and repetitive head impacts with self-reported sleep quality in healthy collegiate-aged athletes.</p></div><div><h3>Methods</h3><p>Collegiate-aged athletes (N = 212; mean age 21.00, 62.7% male) completed semistructured interviews<span> for sport and concussion history and the Pittsburgh Sleep Quality Index (PSQI). Number of concussions was retrospectively determined based on the 1993 American Congress of Rehabilitation Medicine (ACRM) criteria; repetitive head impact was measured based on the cumulative years of contact sport exposure. Associations of number of concussions and repetitive head impact exposure with global PSQI score, overall poor (PSQI &gt;5) vs. good sleep, and binarized subscale scores were tested. Secondary analyses were conducted using alternative concussion criteria and metrics of repetitive head impact.</span></p></div><div><h3>Results</h3><p>The number of prior concussions was associated with higher PSQI global scores (B(SE)<!--> <!-->= 0.50(0.13), <em>p</em> &lt; .001). Participants with more concussions were more likely to be poor sleepers (OR<!--> <!-->=<!--> <!-->1.52, <em>p</em> &lt; .001), report poorer sleep quality (OR<!--> <!-->=<!--> <!-->1.29, <em>p</em> = .037), longer sleep latency (OR<!--> <!-->=<!--> <!-->1.34, <em>p</em> = .005), more sleep disturbances (OR<!--> <!-->=<!--> <!-->1.56, <em>p</em> = .001), increased use of sleep medications or sleep aids (OR<!--> <!-->=<!--> <!-->1.35, <em>p</em> = .008), and more sleep-related daily dysfunction (OR<!--> <!-->=<!--> <!-->1.38, <em>p</em> = .002). Similar results were observed for alternative definitions of concussion. No metric of repetitive head impact was associated with any sleep quality metric.</p></div><div><h3>Conclusions</h3><p>More prior concussions, but not repetitive head impact exposure, are associated with worse self-reported sleep, with subscale analyses showing concussion history associated with multiple aspects of subjective sleep quality rather than sleep quantity. Sleep represents an important factor to consider for future research aimed at characterizing and ultimately preventing adverse long-term health outcomes associated with concussion history.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 441-448"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141285038","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":"Instructional approach, sleep, and perceived academic well-being in adolescents during COVID-19: Evidence from the NESTED study","authors":"","doi":"10.1016/j.sleh.2024.04.006","DOIUrl":"10.1016/j.sleh.2024.04.006","url":null,"abstract":"<div><h3>Objectives</h3><p>At the peak of COVID-19, adolescent life was disrupted as schools adapted their instructional approaches such as online, in-person, or hybrid instruction. We and others have previously commented on how these shifts facilitated longer, later and (more developmentally appropriate) sleep. Here, we report how sleep contributed to associations between remote instruction and broader academic well-being (e.g., cognitive function, school connectedness, and stress).</p></div><div><h3>Methods</h3><p>Adolescents from all 50 U.S. states (n = 4068) completed online self-report surveys in fall 2020. Instructional approach was operationalized from fully in-person instruction to fully asynchronous online education. Sleep parameters included sleep timing and duration, sleep disturbances, and sleep-related impairments. Perceived academic well-being was defined as cognitive function, school connectedness, and school-related stress. Sleep and perceived academic well-being are examined across instructional approaches, in their association, and in structural models.</p></div><div><h3>Results</h3><p>Sleep and perceived academic well-being differed between hybrid and online instruction groups. Less variable or disturbed sleep was associated both with in-person instruction, and with positive outcomes in cognitive function, school connectedness, and stress domains. Sleep mediated a substantial portion of variance in perceived academic well-being attributable to instructional approach.</p></div><div><h3>Conclusion</h3><p>These data highlight the need to protect both healthy sleep and in-person instruction. Appropriate sleep timing and duration, fewer sleep disturbances and sleep-related impairments accounted for a substantial degree of variance in the association between remote instruction on academic outcomes. While many students experienced “lost learning” because of COVID-19, this study joins a broader discussion of ensuring developmentally appropriate school-start times to support both sleep and achievement.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 485-492"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141321771","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 of prediabetes and sleep duration, and inflammation as a mediator in the China Health and Retirement Longitudinal Study","authors":"","doi":"10.1016/j.sleh.2024.01.011","DOIUrl":"10.1016/j.sleh.2024.01.011","url":null,"abstract":"<div><h3>Objective</h3><p>The objective of this study was to examine the relationship between sleep duration<span> and prediabetes, as well as to evaluate the influence of inflammation in mediating this association.</span></p></div><div><h3>Methods</h3><p><span>A total of 4632 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included in this study, comprising both baseline and 4-year follow-up data. The prospective relationship between sleep duration<span> and the risk of prediabetes was examined using </span></span>logistic regression<span> models. We used multinomial logistic regression<span> to evaluate the impact of prediabetes<span> on sleep duration changes over follow-up, assessing the role of C-reactive protein in the association using mediation analysis.</span></span></span></p></div><div><h3>Results</h3><p><span>Participants with short sleep duration (&lt;5 hours) had a higher risk of prediabetes (odds ratios</span> <!-->=<!--> <!-->1.381 [95% CI: 1.028-1.857]) compared to those with normal sleep durations (7-8 hours). However, excessive sleep durations (<span><math><mo>≥</mo></math></span>9 hours) did not show a statistically significant association with prediabetes risk. Moreover, individuals at least 60<!--> <!-->years old who experienced short sleep durations exhibited a higher risk of prediabetes. Individuals with prediabetes were more likely to have shorter sleep duration than excessive sleep duration (relative risk ratios<!--> <!-->=<!--> <!-->1.280 [95% CI: 1.059-1.547]). The mediation analysis revealed a mediating effect of C-reactive protein on the association between prediabetes and reduced sleep duration.</p></div><div><h3>Conclusions</h3><p>Short sleep duration was identified as a risk factor for the incidence of prediabetes. Conversely, prediabetes was found to contribute to shorter sleep duration rather than excessive sleep duration. Moreover, elevated levels of C-reactive protein may serve as a potential underlying mechanism that links prediabetes with shorter sleep.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 470-477"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140945659","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":"Inequities in adolescent sleep health in Aotearoa New Zealand: Cross-sectional survey findings","authors":"","doi":"10.1016/j.sleh.2024.05.007","DOIUrl":"10.1016/j.sleh.2024.05.007","url":null,"abstract":"<div><h3>Objectives</h3><p>To investigate ethnic inequities in, and social determinants of, adolescent sleep health in Aotearoa New Zealand.</p></div><div><h3>Methods</h3><p>Analysis of self-report data from a cross-sectional survey of secondary school students (12- to 18-year-olds). Analyses included weighted prevalence estimates of good and poor sleep health stratified by ethnicity, and multivariable logistic regression models concurrently adjusted for ethnicity, school year, gender, rurality, neighborhood deprivation, school decile, housing deprivation, sleeping elsewhere due to lack of adequate housing, unsafe environment, and racism.</p></div><div><h3>Results</h3><p>Inequities in social determinants of health were evident for Māori (Indigenous peoples of Aotearoa New Zealand; n = 1528) and minoritized (Pacific n = 1204; Asian n = 1927; Middle Eastern, Latin American, and African [MELAA] n = 210; and ‘Other' ethnicity n = 225) adolescents. A greater proportion of Māori, Pacific, Asian, MELAA, and ‘Other' adolescents had short sleep, compared to European (n = 3070). Māori, Pacific, Asian, and MELAA adolescents were more likely to report late bedtimes (after midnight), and Māori, Pacific, and ‘Other' adolescents were more likely to report early waketimes (5 AM-6 AM or earlier), on school days. Rurality, neighborhood deprivation, school-level deprivation, housing deprivation, sleeping elsewhere due to inadequate housing, unsafe environments, and racism partially, but not fully, explained associations between ethnicity and short sleep, late bedtimes, and early waketimes.</p></div><div><h3>Conclusions</h3><p>Ethnic inequities exist in adolescent sleep health in Aotearoa New Zealand. Socio-political actions are needed to address racism and colonialism as root causes of ethnic inequities in adolescent sleep, to ensure all young people are afforded the basic human right of good sleep health and associated mental and physical well-being.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 385-392"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721824001141/pdfft?md5=9710fd0b09d4f28efee8d50684ed9fda&pid=1-s2.0-S2352721824001141-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141443493","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":"Heterogeneities in sleep duration and quality among U.S. immigrants from different racial and ethnic backgrounds","authors":"","doi":"10.1016/j.sleh.2024.03.006","DOIUrl":"10.1016/j.sleh.2024.03.006","url":null,"abstract":"<div><h3>Objectives</h3><p>Sleep plays an essential role in well-being. Although U.S. immigrants are considerably growing, few studies have examined sleep in this diverse population, particularly those from Asian backgrounds. It is also unclear how sleep differs by the length of residence across immigrant groups. In this study, we examined the relationships among race/ethnicity, length of residence, and sleep using a nationally representative cohort of U.S. immigrants.</p></div><div><h3>Methods</h3><p>We analyzed data from the 2013-2018 National Health Interview Survey. The sample (N = 27,761; 14% ≥65 years old) included foreign-born adults from the following racial/ethnic backgrounds: non-Hispanic White, non-Hispanic Black, Asian (Chinese, Filipino, Asian Indian), and Hispanic/Latino. Length of residence was categorized as &lt;5, 5-9, 10-14, and ≥15<!--> <!-->years. Sleep was assessed with self-reported sleep duration (normal, short, and long) and poor sleep quality (trouble falling asleep, trouble staying asleep, and waking up unrested).</p></div><div><h3>Results</h3><p>Filipino and Hispanic/Latino immigrants reported the highest prevalence of short (41.8%) and long (7.0%) sleep, respectively. Non-Hispanic White immigrants had the highest prevalence rate across all three poor sleep quality measures (range 17.7-41.5%). Length of residence ≥15<!--> <!-->years was significantly associated with worse sleep, and it moderated White-Asian differences in sleep quality. Immigrants from different racial/ethnic groups showed variations in sleep patterns as they resided longer in the US.</p></div><div><h3>Conclusions</h3><p>Immigrants exhibited substantial heterogeneities in sleep. Future research should investigate the contributing factors to the variations in their sleep patterns, both between groups and within the same group of immigrants, in order to inform tailored interventions.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 393-401"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141080378","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":"Disadvantaged social status contributed to sleep disorders: An observational and genome-wide gene-environment interaction analysis","authors":"","doi":"10.1016/j.sleh.2024.03.003","DOIUrl":"10.1016/j.sleh.2024.03.003","url":null,"abstract":"<div><h3>Background</h3><p>Sleep is a natural and essential physiological need for individuals. Our study aimed to research the associations between accumulated social risks and sleep disorders.</p></div><div><h3>Methods</h3><p>In this study, we came up with a polysocial risk score (PsRS), which is a cumulative social risk index composed of 13 social determinants of health<span><span><span>. This research includes 239,165 individuals with sleep disorders and social determinants of health data from the </span>UK Biobank cohort. First, </span>logistic regression<span><span><span> models were performed to examine the associations of social determinants of health and sleep disorders, including </span>chronotype, </span>narcolepsy<span>, insomnia, snoring, short and long sleep duration. Then, PsRS was calculated based on statistically significant social determinants of health for each sleep disorder. Third, a genome-wide gene-environment interaction study was conducted to explore the interactions between single-nucleotide polymorphisms and PsRS in relation to sleep disorders.</span></span></span></p></div><div><h3>Results</h3><p>Higher PsRS scores were associated with worse sleep status, with the adjusted odds ratio (OR) ranging from 1.10 (95% Confidence interval [CI]: 1.09-1.11) to 1.29 (95% CI: 1.27-1.30) for sleep disorders. Emotional stress (OR = 1.36, 95% CI: 1.28-1.43) and not in paid employment (OR = 2.62, 95% CI: 2.51-2.74) were found to have significant contributions for sleep disorders. Moreover, multiple single-nucleotide polymorphisms were discovered to have interactions with PsRS, such as <em>FRAS1</em> (<em>P</em> = 2.57 × 10⁻¹⁴) and <em>CACNA1A</em> (<em>P</em> = 8.62 × 10⁻¹⁴<span>) for narcolepsy, and </span><em>ACKR3</em> (<em>P</em> = 1.24 × 10⁻⁸) for long sleep.</p></div><div><h3>Conclusions</h3><p><span>Our findings suggested that cumulative social risks was associated with sleep disorders, while the interactions between genetic susceptibility and disadvantaged social status are </span>risk factors for the development of sleep disorders.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 402-409"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141077154","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":"Disparities in sleep duration and quality by industry of employment and occupational class among Native Hawaiian/Pacific Islanders and non-Hispanic Whites in the United States","authors":"","doi":"10.1016/j.sleh.2024.05.006","DOIUrl":"10.1016/j.sleh.2024.05.006","url":null,"abstract":"<div><h3>Objective</h3><p>To investigate disparities in the work-sleep relationship between Native Hawaiian/Pacific Islanders (NHPIs) and non-Hispanic (NH)-White populations.</p></div><div><h3>Methods</h3><p>Using data from a nationally representative sample of U.S. adults (<em>n</em> = 20,828) in the 2014 National Health Interview Survey, we estimated prevalence of short sleep duration (&lt;7 hours) among NHPIs (10%) and NH-Whites for each of 7 employment industry categories and 3 occupational classes. Mean age was 41 ± 0.5<!--> <!-->years for NHPIs and 49 ± 0.2<!--> <!-->years for NH-Whites. Women comprised 52% of both groups.</p></div><div><h3>Results</h3><p>NHPIs were more likely than NH-Whites to report short sleep duration across all industry of employment categories (except for food and accommodation services) and occupational classes. The disparity was widest among NHPI and NH-White workers in the “professional/management\" industry category, with NHPIs having higher prevalence of very short (&lt;6 hours; 20% vs. 7%) and short sleep (30% vs. 22%) durations and lower prevalence of recommended sleep duration (45% vs. 68%) and waking up feeling rested (53% vs. 67%). Among the occupational classes, the NHPI-White disparity was widest among participants who held support service occupations. Although professionals had the lowest and laborers had the highest prevalence of short sleep among the three occupational classes in both NHPI and NH-White groups, short sleep duration prevalence was higher among NHPI professionals (35%) than NH-White laborers (33%). NH-White workers across industry and occupational classes had higher sleep medication use prevalence compared to NHPI workers.</p></div><div><h3>Conclusions</h3><p>The work environment via occupation type may contribute to racial/ethnic disparities in short sleep. Further investigations are warranted.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 425-433"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721824001128/pdfft?md5=7e442bab85880ccdafef96addb1f5a85&pid=1-s2.0-S2352721824001128-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141421487","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 NSF","authors":"","doi":"10.1016/S2352-7218(24)00155-4","DOIUrl":"10.1016/S2352-7218(24)00155-4","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Page 523"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962574","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)00137-2","DOIUrl":"10.1016/S2352-7218(24)00137-2","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Page A4"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352721824001372/pdfft?md5=f17272b281899e428e3809b75742687d&pid=1-s2.0-S2352721824001372-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962572","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 duration, napping behaviors and restless legs syndrome during pregnancy and the trajectories of ultrasonographic measures of fetal growth: Findings from the NICHD Fetal Growth Studies–Singletons","authors":"","doi":"10.1016/j.sleh.2024.04.004","DOIUrl":"10.1016/j.sleh.2024.04.004","url":null,"abstract":"<div><h3>Objectives</h3><p><span>Given the plausible mechanisms and the lacking of empirical evidence, the study aims to investigate how gestational sleep behaviors and the development of sleep disorders, such as restless legs syndrome, influence ultrasonographic measures of </span>fetal growth.</p></div><div><h3>Methods</h3><p><span>The study included 2457 pregnant women from the NICHD Fetal Growth Studies - Singletons (2009-2013), who were recruited between 8-13 gestational weeks and followed up to five times during pregnancy. Women were categorized into six groups based on their total sleep hours and napping frequency. The trajectory of estimated fetal weight from 10-40</span> <span><span><span>weeks was derived from three ultrasonographic measures. Linear mixed effect models were applied to model the estimated fetal weight in relation to self-reported sleep-napping behaviors and </span>restless legs syndrome status, adjusting for age, race and ethnicity, education, parity, prepregnancy </span>body mass index category, infant sex, and prepregnancy sleep-napping behavior.</span></p></div><div><h3>Results</h3><p><span>From enrollment to near delivery, pregnant women’s total sleep duration and nap frequency declined and restless legs syndrome symptoms frequency increased generally. No significant differences in estimated fetal weight were observed by sleep-napping group or by restless legs syndrome status. Results remained similar in sensitivity analyses and stratified analyses by women’s prepregnancy </span>body mass index category (normal vs. overweight/obese) or by infant sex.</p></div><div><h3>Conclusions</h3><p>Our data indicate that there is no association between sleep during pregnancy—assessed as total sleep duration and napping frequency, nor restless legs syndrome symptoms—and fetal growth from weeks 10 to 40 in healthy pregnant women.</p></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"10 4","pages":"Pages 462-469"},"PeriodicalIF":3.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141307213","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}