Sleep Health最新文献

Objectives: 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.

Method: 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.

Results: 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).

Conclusions: 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.

Objectives: To characterize representation and inclusion among Sleep Research Society members and examine associations between sociodemographic features and Sleep Research Society experiences.

Methods: 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.

Results: 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 ≥10years 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.

Conclusions: 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.

Background: Poor sleep contributes to adverse health in heart failure. However, studies are limited to isolated sleep characteristics.

Purposes: 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.

Methods: 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.

Results: 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 (p = .0188) and a robust circadian quotient (p = .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.

Conclusion: Sleep phenotypes predict heart failure outcomes. Tailored interventions targeting phenotypes may be more effective than approaches that focus on single sleep characteristics.

Objective: 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.

Method: 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.

Results: A total of 994 centenarians, with an average age of 102.77 ± 2.75years, 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, P = .039) than those who got less daytime sleep, after adjusting for potential confounders.

Conclusion: 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.

Objective: 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.

Methods: 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.

Results: Of the 375,133 participants at baseline, 4913 incident rheumatoid arthritis cases were identified over a median follow-up of 11.73years. 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.

Conclusions: 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.

Study objectives: COVID-19 mobility restrictions disrupted daily rhythms worldwide, but how this rhythm disruption differs across age groups is unclear. We examined the course of age-related differences in trajectories of rest-activity rhythm during the COVID-19 pandemic lockdown and reopening in Singapore. We also evaluated the association of these patterns with mental well-being.

Methods: 24-hour step count data (Fitbit) were obtained from 617 younger (age range: 21-40) and 602 older adults (age range: 55-70) from January 2020 (baseline) through lockdown (April 2020) and reopening periods until August 2021. Nonparametric rest-activity rhythm metrics: interdaily stability, intradaily variability and most active 10-hour period (M10) were computed. Longitudinal changes in rest-activity rhythm, age-related differences in changes, and the associations between mental well-being and these changes were assessed using nonlinear latent-growth models.

Results: In younger adults, mobility restrictions during lockdown caused significant decline in interdaily stability and M10, alongside significant increase in intradaily variability. However, in older adults, changes were confined to increased intradaily variability and decreased M10. Older adults also showed less change in intradaily variability and M10 compared to younger adults. Gradual recovery of rest-activity rhythm metrics during reopening was observed, with interdaily stability and M10 remaining lower after 15months post-lockdown. In younger but not older adults, a larger decline in interdaily stability was associated with poorer mental well-being 15months post-lockdown.

Conclusion: Younger adults appear more vulnerable than older adults to mobility restrictions as reflected in their rest-activity rhythm metrics. A significant disruption of daily routine may have long-lasting effects on younger adults' mental well-being.

Statement of significance: Although stringent mobility restrictions imposed to curb the spread of COVID-19 were imposed primarily to protect older adults, we found that younger adults were more vulnerable to rhythm disruption arising from mobility restrictions. Disrupted rhythm stability was associated with poorer mental well-being 15months after the lockdown ended in younger but not older adults. These asymmetric long-term effects on mental health on younger relative to older adults should be kept in mind when planning for large-scale catastrophes linked to mobility restrictions.

Objectives: Neighborhood social cohesion or living in communities characterized by trust and social ties may mitigate sleep disparities among sexual minoritized vs. heterosexual persons; but its relation to sleep health is understudied among sexual minoritized groups. To investigate associations between perceived neighborhood social cohesion and sleep health among adult US men and women who identified as "lesbian or gay, bisexual, or something else," we used cross-sectional National Health Interview Survey data (2013-2018).

Methods: Participants reported neighborhood social cohesion (categorized as low or medium vs. high) and sleep characteristics. Adjusting for sociodemographic, health, and residential characteristics, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals for poor sleep.

Results: Among 4666 sexual minoritized adults, 44% reported low, 32% medium, and 24% high neighborhood social cohesion. Women, minoritized racial/ethnic groups, and young adults disproportionately reported low neighborhood social cohesion. Overall, low vs. high neighborhood social cohesion was associated with a higher prevalence of short sleep (PR=1.27 [95% confidence interval:1.11-1.45]) and all sleep disturbances (e.g., PR_{insomnia symptoms}=1.36 [1.19-1.55]). PRs were often higher as intersectionality or membership to multiple minoritized groups increased.

Conclusions: Lower perceived neighborhood social cohesion was associated with poorer sleep. Fostering community cohesiveness may mitigate sleep disparities among sexual minoritized adults.

Objective: To explore the association between sleep duration and death from chronic kidney disease in the general Japanese population.

Methods: We conducted an 19.3-year follow-up study of 40,272 men and 54,902 women aged 40-79years and free of renal disease, cardiovascular disease and cancer in the Japan Collaborative Cohort Study for Evaluation of Cancer Risk at baseline (between 1986 and 1990). Sleep duration was categorized into five groups: <6, 6 to <7, 7 to <8, 8 to <9, and ≥9 hours per day. Cox proportional hazard models were used to analyze the association between sleep duration and death from chronic kidney disease.

Results: Compared with persons with 7 to <8 hours sleep duration, those who slept 8 to <9 hours (HR: 1.41, 95% CI: 1.05-1.88) or ≥9hours (HR: 1.82, 95% CI: 1.28-2.58) per day had a higher risk of developing chronic kidney disease mortality. This association was particularly pronounced in individuals aged younger than 65years.

Conclusions: Sleep duration of 8 or more hours per day was associated with increased risk of chronic kidney disease mortality in the general Japanese population.

Objectives: A growing body of work documents a link between indices of social connectedness and sleep health. Sleep is implicated in the chronic health conditions which disproportionately affect American Indian adults, however the relationship between social connectedness and sleep health is largely understudied in this population. The current project investigates relationships between multiple indices of social connectedness and sleep health in a sample of American Indian adults.

Methods: In a sample of 275 American Indian adults residing in the Blackfeet Nation in Montana, we investigated links between social networks, loneliness, existential isolation (i.e., feeling alone in one's experiences) and sleep health. We used one linear regression model controlling for demographics and symptoms of anxiety and depression to investigate the relationship between measures of social connectedness and sleep health.

Results: Existential isolation was the only statistically significant predictors of sleep health, with higher existential isolation relating to worse sleep health.

Conclusion: Existential isolation may be a particularly important measure of social connectedness in American Indian adults. More research is needed to understand precursors of existential isolation and the mechanisms contributing to the relationship between existential isolation and sleep health in Blackfeet American Indian adults.