Individual and neighborhood socioeconomic status and long-term individual trajectories of sleep duration among Black and White adults: the Southern Community Cohort Study

The joint effects of sleep duration and exercise habit on all-cause mortality among Chinese older adult: a national community-based cohort study

Abstract

This study examines the combined effects of sleep duration and exercise habits on all-cause mortality in older Chinese adults using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS).

Methods

Data were collected from 7231 residents aged 60 and above from the CLHLS. Participants were categorized based on their sleep duration (short sleep: <6 hours, normal sleep: 6-8 hours, and long sleep: >8 hours) and exercise habits (physically active, physically inactive, inactive-to-active, and active-to-inactive). The analysis was conducted over three follow-up periods (2011, 2014, and 2018). Cox proportional hazards regression models were used to assess the associations between sleep duration, exercise habits, and all-cause mortality.

Results

The results showed that compared to short sleepers, individuals with normal sleep (6-8 hours) had a slightly reduced risk of death, although this reduction was not statistically significant (HR = 0.97, 95% CI 0.87-1.08). In contrast, long sleepers (>8 hours) had a significantly higher risk of mortality (HR = 1.28, 95% CI 1.16-1.43). Regarding exercise habits, regular exercise or transitioning from inactivity to exercise significantly reduced mortality risk compared to those who did not exercise (HR = 0.74, 95% CI 0.66-0.83 and HR = 0.88, 95% CI 0.80-0.97, respectively). Notably, exercise habits did not significantly impact mortality among short sleepers, regardless of gender. However, both men and women with normal or long sleep experienced significant mortality benefits from regular exercise. Additionally, older women who transitioned from a sedentary lifestyle to physical activity during periods of long sleep demonstrated lower mortality rates.

Conclusion

Both sleep duration and exercise habits are associated with mortality risk among older Chinese adults, with notable gender differences in their combined effects. Targeted health policies that encourage improved sleep and exercise habits, while considering gender-specific needs, are essential to reduce mortality and enhance quality of life in this population.

Implications of Long Sleep Duration on Cardiovascular Health: A Systematic Review

Sleep duration is an important determinant of cardiovascular health, yet the adverse effects of long sleep duration remain underexplored. While short sleep has well-documented associations with increased cardiovascular risk, emerging evidence highlights a U-shaped relationship, with excessive sleep also linked to adverse outcomes. This systematic review evaluates the association between prolonged sleep duration and cardiovascular health outcomes, including coronary artery disease (CAD), stroke, myocardial infarction (MI), hypertension, heart failure (HF), and atherosclerosis. A systematic search of PubMed, Embase, and Web of Science identified 38 studies published between 2008 and 2024 that investigated the relationship between sleep duration and cardiovascular health. Prolonged sleep duration was consistently associated with increased risks of CAD, stroke (ischemic and hemorrhagic), hypertension, and MI. Elevated inflammatory markers, such as C-reactive protein (CRP) and interleukin-6 (IL-6), emerged as potential mediators alongside demographic and lifestyle factors, including age, gender, and socioeconomic status. Long sleep duration may serve as a modifiable risk factor for cardiovascular diseases. Incorporating sleep assessments into cardiovascular risk evaluations could inform prevention strategies, and further research is needed to elucidate mechanisms and develop targeted interventions.

Long-term trajectories of sleep duration are associated with incident diabetes in middle-to-older-aged Black and White Americans

AIMS/HYPOTHESIS

Both short and long sleep durations have been linked to higher diabetes risk. However, sleep duration may vary over time, and there has been limited research focusing on individual sleep trajectories and diabetes risk. There are substantial racial disparities in both sleep health and diabetes risk in the USA. Thus, it is important to understand the role of suboptimal sleep patterns in diabetes risk in different racial groups.

METHODS

We assessed long-term trajectories of sleep duration and incident diabetes in 22,285 Black adults (mean age ± SD, 51.1 ± 8.2 years; 64.8% women) and 13,737 White adults (mean age ± SD, 54.4 ± 9.0 years; 63.8% women) enrolled in the Southern Community Cohort Study. Nine sleep trajectories were derived based on self-reported sleep duration at baseline and after a mean of 5 years of follow-up: normal-normal (reference), short-normal, normal-short, short-short, long-normal, normal-long, long-long, long-short and short-long. Diabetes was reported using a validated questionnaire. Multivariable-adjusted logistic regression was used to determine relationships between sleep trajectories and incident diabetes.

RESULTS

When compared with the normal-normal trajectory, suboptimal sleep trajectories were associated with higher likelihoods of developing diabetes (OR; 95% CI: short-normal 1.19; 1.09, 1.31; normal-short 1.14; 1.02, 1.27; short-short 1.17; 1.07, 1.28; long-normal 1.13; 0.98, 1.30; normal-long 1.16; 1.00, 1.34; long-long 1.23; 1.02, 1.48; long-short 1.45; 1.19, 1.77; short-long 1.51; 1.28, 1.77). Stratified analyses by race and socioeconomic status (i.e. education and household income) showed that most suboptimal sleep trajectories were consistently associated with incident diabetes in all sociodemographic subgroups. We also noted potential interaction with race and education for several sleep trajectories (i.e. short-long and normal-short with race; long-long and short-short with education).

CONCLUSIONS/INTERPRETATION

Adults with suboptimal sleep duration trajectories are more likely to develop incident diabetes. Future research is needed to study how sociodemographic factors modulate this relationship.

An Exploratory Analysis of Preclinical and Clinical Factors Associated With Sleep Disturbance Assessed via the Neuro-QoL After Hemorrhagic Stroke

Background and Purpose

Sleep disturbance after hemorrhagic stroke (intracerebral or subarachnoid hemorrhage) can impact rehabilitation, recovery, and quality of life. We sought to explore preclinical and clinical factors associated with sleep disturbance after hemorrhagic stroke assessed via the Quality of Life in Neurological Disorders (Neuro-QoL) short form sleep disturbance inventory.

Methods

We telephonically completed the Neuro-QoL short form sleep disturbance inventory 3-months and 12-months after hemorrhagic stroke for patients >18-years-old hospitalized between January 2015 and February 2021. We examined the relationship between sleep disturbance (T-score >50) and social and neuropsychiatric history, systemic and neurological illness severity, medical complications, and temporality.

Results

The inventory was completed for 70 patients at 3-months and 39 patients at 12-months; 18 (26%) had sleep disturbance at 3-months and 11 (28%) had sleep disturbance at 12-months. There was moderate agreement (κ = .414) between sleep disturbance at 3-months and 12-months. Sleep disturbance at 3-months was related to unemployment/retirement prior to admission (P = .043), lower Glasgow Coma Scale score on admission (P = .021), higher NIHSS score on admission (P = .041) and infection while hospitalized (P = .036). On multivariate analysis, sleep disturbance at 3-months was related to unemployment/retirement prior to admission (OR 3.58 (95% CI 1.03-12.37), P = .044). Sleep disturbance at 12-months was related to premorbid mRS score (P = .046).

Conclusion

This exploratory analysis did not demonstrate a sustained relationship between any preclinical or clinical factors and sleep disturbance after hemorrhagic stroke. Larger studies that include comparison to patients with ischemic stroke and healthy individuals and utilize additional techniques to evaluate sleep disturbance are needed.

Neighborhood Light at Night and Noise Levels, and Long-Term Sleep Trajectories in the Southern Community Cohort Study

While light at night (LAN) and noise levels have been linked to suboptimal sleep outcomes, little is known about the link between these factors and long-term suboptimal sleep trajectories. The current study examined the association of neighborhood LAN and nighttime noise with long-term sleep trajectories in a cohort of Black individuals and White individuals predominantly from low-income communities. We used data from the Southern Community Cohort Study (N = 28,759 Black individuals and 16,276 White individuals). Sleep duration was self-reported at baseline and after an average of five years of follow-up, based on which we constructed nine sleep trajectories: normal-normal (optimal, reference), short-short, long-long, short-long, long-short, normal-short, normal-long, short-normal, and long-normal. LAN and nighttime noise were derived from satellite imagery and model-based estimates, respectively. Multinomial logistic regression was used to determine the relationship between LAN and noise exposures and sleep trajectories. Higher exposures to LAN and nighttime noise were associated with multiple suboptimal long-term sleep trajectories. In the total sample, higher LAN was associated with higher odds of long-long (OR Q5 vs. Q1 = 1.23 (CI = 1.02, 1.48)) and long-short (OR = 1.35 (CI = 1.06, 1.72)) trajectories, while higher nighttime noise was associated with short-short (1.19 (1.07, 1.31)), long-short (1.31 (1.05, 1.64)), and normal-song (1.16 (1.01, 1.34)) trajectories. Black and White individual-specific results showed qualitatively similar patterns between Black individuals and White individuals, although we also observed suggestive evidence for Black-White individual differences. In conclusion, elevated LAN and nighttime noise levels were associated with various suboptimal long-term sleep trajectories. However, it is noteworthy that the light and noise measures in our study may not accurately reflect individual-level exposures, and residual confounding from other factors is a concern. Future studies should use more accurate exposure measurements, collect information on and control for a wider range of factors, and examine whether reductions in neighborhood light and noise levels may contribute to improved long-term sleep health.

Trends in sleep duration in the U.S. from 2004 to 2018: A decomposition analysis

Average sleep duration in the United States declined in recent years, and the decline may be linked with many biopsychosocial factors. We examine how a set of biopsychosocial factors have differentially contributed to the temporal trends in self-reported sleep duration across racial groups between 2004-2005 and 2017-2018. Using repeated nationally representative cross-sections from the National Health Interview Survey, we decompose the influence of biopsychosocial factors on sleep duration trends into two components. One component corresponds to coefficient changes (i.e., changes in the associations between behaviors or exposures and sleep duration) of key biopsychosocial factors, and the other part accounts for the compositional changes (i.e., changes in the distributions of exposures) in these biopsychosocial factors during the study period. We reveal that changes in the coefficients of some biopsychosocial factors are more important than compositional changes in explaining the decline in sleep duration within each racial/ethnic group. Our findings highlight racial differences manifest across multiple biopsychosocial domains that are shifting in terms of association and composition. Methodologically, we note that the standard regression approach for analyzing temporal trends neglects the role of coefficient changes over time and is thus insufficient for fully capturing how biopsychosocial factors may have influenced the temporal patterns in sleep duration and related health outcomes.

Racial and ethnic disparities in self-reported sleep duration: Roles of subjective socioeconomic status and sleep norms

OBJECTIVES

There are racial and ethnic disparities in sleep duration, with members of historically marginalized groups typically reporting shorter sleep than White Americans. This study examines subjective social status (SSS) as a moderator, and variation in ideal sleep norms as a mediator, of differences in sleep duration between racial/ethnic groups.

METHODS

Asian, Black, Hispanic, and non-Hispanic White respondents in an online survey reported their typical weeknight and weekend-night sleep duration, along with estimates of ideal sleep duration norms. Objective and subjective indicators of socioeconomic status were also assessed. A conditional process analysis was used to examine whether racial or ethnic differences in sleep duration were a) moderated by SSS and b) mediated by ideal sleep duration norms.

RESULTS

Racial/ethnic disparities in sleep duration varied by group. Hispanic participants reported shorter weeknight sleep than White participants. In Asian and Black participants, shorter weeknight sleep relative to White participants was only observed at medium (Black) or high (Black and Asian) levels of SSS. Shorter norms for ideal sleep duration partially mediated differences in sleep duration between Black and White adults, but not the other racial/ethnic groups. There was no evidence of moderated mediation. Neither income nor education moderated racial/ethnic disparities in sleep duration.

CONCLUSIONS

Racial and ethnic disparities in sleep duration may partially depend on SSS. Continued research into moderators and mediators of racial/ethnic differences in sleep duration is warranted.

Causal impacts of educational attainment on chronic liver diseases and the mediating pathways: Mendelian randomization study

BACKGROUND AND AIMS

Educational attainment is an essential socio-economic indicator with broad implications for lifestyle behaviour and metabolic health. We aimed to investigate the causal effect of education on chronic liver diseases and the potential mediating pathways.

METHODS

We applied univariable Mendelian randomization (MR) to assess the causal associations between educational attainment and non-alcoholic fatty liver disease (NAFLD) (cases/controls: 1578/307 576 in FinnGen; 1664/400 055 in UK Biobank), viral hepatitis (1772/307 382; 1215/403 316), hepatomegaly (199/222 728; 297/400 055), chronic hepatitis (699/301 014; 277/403 316), cirrhosis (1362/301 014; 114/400 055) and liver cancer (518/308 636; 344/393 372) using summary statistics of genome-wide association studies from the FinnGen Study and the UK Biobank, respectively. We used two-step MR to evaluate potential mediators and their mediation proportions in the association.

RESULTS

Meta-analysis of inverse variance weighted MR estimates from FinnGen and UK Biobank showed that genetically predicted 1-SD (4.2 years) higher education was causally associated with decreased risks of NAFLD (OR: 0.48; 95%CI: 0.37-0.62), viral hepatitis (0.54; 0.42-0.69) and chronic hepatitis (0.50; 0.32-0.79), but not hepatomegaly, cirrhosis and liver cancer. Nine, two and three out of 34 modifiable factors were identified as causal mediators in the associations of education with NAFLD, viral hepatitis and chronic hepatitis, respectively, including six adiposity traits (mediation proportion: 16.5%-32.0%), major depression (16.9%), two glucose metabolism-related traits (2.2%-15.8%) and two lipids (9.9%-12.1%).

CONCLUSIONS

Our findings supported the causal protective effects of education on chronic liver diseases and outlined mediating pathways to inform prevention and intervention strategies to reduce the burden of liver diseases, especially for individuals with lower education.

Exposure to neighborhood poverty from adolescence through emerging adulthood and sleep duration in US adults

Does exposure to neighborhood poverty from adolescence to early adulthood have differential influence on sleep duration across racial/ethnic groups? We used data from the National Longitudinal Study of Adolescent to Adult Health that consisted of 6756 Non-Hispanic (NH) White respondents, 2471 NH Black respondents, and 2000 Hispanic respondents and multinomial logistic models to predict respondent reported sleep duration based on exposure to neighborhood poverty during adolescence and adulthood. Results indicated that neighborhood poverty exposure was related to short sleep duration among NH White respondents only. We discuss these results in relation to coping, resilience, and White psychology.