Self-Reported Sleep Disturbance is an Independent Predictor of All-Cause Mortality and Respiratory Disease Mortality in US Adults: A Population-Based Prospective Cohort Study

Associations of sleep disorders with all-cause and cause-specific mortality in cancer survivors: a cross-sectional analysis of the NHANES 2005-2016

BACKGROUND

The circadian clock and endoplasmic reticulum stress signaling play important roles in oncogenesis and development of cancer. Sleep disorders have been linked to an elevated risk of mortality in general populations. Nonetheless, the evidence for the sleep disorders-mortality association among cancer patients is limited. We aimed to prospectively investigate the association of sleep disorders with all-cause, cancer, and cardiovascular disease (CVD) mortality among cancer individuals.

METHODS

We assessed 3187 participants with cancer from the National Health and Nutrition Examination Survey 2005-2016 cohorts with a median follow-up time of 83.0 months. Multivariable Cox proportional hazards models estimated the adjusted hazard ratio (HR) and 95% confidence interval (CI).

RESULTS

Multivariable Cox proportional hazards models showed that sleep disorders were associated with a higher risk of all-cause mortality (HR 1.23, 95%CI: 1.06,1.42), cancer mortality (HR 1.30, 95%CI: 1.02, 1.66), and cardiovascular disease mortality (HR 1.35, 95%CI: 1.02, 1.80). After the total group was stratified by gender, the high HRs were observed in men (P < 0.05), not in women. The correlation between sleep disorders and higher long-term mortality was also significant after individuals who died within 2 years of follow-up were excluded, with HR 1.24 (95%CI: 1.07, 1.45) in model I, HR 1.20 (95%CI: 1.02, 1.42) in model II for long-term all-cause mortality, HR (95%CI: 1.00, 1.74) in model I for long-term cancer mortality, and HR 1.5 (95%CI:1.12, 2.02) in model I, HR 1.45 (95%CI: 1.06, 1.99) in model II for long-term CVD mortality.

CONCLUSIONS

Sleep disorders were associated with a higher risk of all-cause mortality, cancer mortality, and CVD mortality, as well as long-term mortality in cancer patients. Our finding underlies the importance of screening for sleep disorders for all cancer survivors and the urge to integrate sleep health as an important part of cancer care more effectively. Male individuals may be particularly vulnerable and could benefit from more frequent screening.

Associations between e-cigarette use and sleep health among adults in the United States, NHANES 2015-2018

OBJECTIVE

To examine the associations between e-cigarette use or dual (e-cigarette and combustible cigarette) use and short sleep duration and trouble sleeping among U.S. adults.

METHODS

We used 2015-2018 data from the National Health and Nutrition Examination Survey (NHANES) (n = 11,659). E-cigarette use and dual use were categorized as current, former, and never use. Short sleep duration was defined as sleep duration ≤6 h. Trouble sleeping was self-reported. Weighted logistic regression analyses were performed.

RESULTS

Among those with current e-cigarette use, 53.9 % were with current dual use and 23.8 % were with former dual use. Compared to never e-cigarette use, current e-cigarette use was associated with significantly higher odds of trouble sleeping (OR = 2.16, 95 % CI: 1.49-3.13), adjusting for potential confounders. Significant associations were also observed for former e-cigarette use versus never use with trouble sleeping (OR = 1.54, 95 % CI: 1.15-2.07) after full adjustment. Current cigarette use was associated with both short sleep duration (OR = 1.65, 95 % CI: 1.28-2.14) and trouble sleeping (OR = 1.36, 95 % CI: 1.03-1.79) after full adjustment. Additionally, the fully adjusted ORs for short sleep duration and trouble sleeping were 1.64 (95 % CI: 1.06-2.54) and 2.14 (95 % CI: 1.34-3.42) among those with current dual use, and 1.46 (95 % CI: 1.17-1.81) and 2.11 (95 % CI: 1.66-2.67) among those with former dual use, compared to those without dual use.

CONCLUSIONS

Current cigarette use or dual use is associated with significantly higher odds of short sleep duration and trouble sleeping. Moreover, former e-cigarette use or dual use is associated with increased odds of trouble sleeping.

Interrelationship of Sleep Disturbances and Cognitive Status on Mortality

Sleep disturbances may promote the development and advancement of Alzheimer's disease. Our purpose was to determine if sleep disturbances were associated with earlier mortality while accounting for cognition. The National Alzheimer's Coordinating Center database was used to evaluate mortality risk conferred by sleep, and the Montreal Cognitive Assessment score determined cognitive status. Demographics, sleep disturbances, cognitive status, and comorbid/other neuropsychiatric conditions were examined as predictors of survival time via Cox regression. The sample (N = 31,110) had a median age [interquartile range] of 72 [66, 79] years, MoCA score of 23 [16, 26], and survival time of 106.0 months [104.0,108.0]; 10,278 (33%) died during follow-up; 21% (n = 6461) experienced sleep disturbances. Sleep disturbances impacted survival time depending on cognition, with the greatest effect in transition from normal to cognitive impairment (P < .001). Findings support that sleep disturbances negatively impact survival time, and the impact of sleep disturbances on survival time is interrelated with cognition.

Health status of the population in Naqu, Tibet and its latent class analysis: a cross-sectional survey

Background

Through a survey and analysis of the population's present state of health, it is possible to give data support for improving the health status of inhabitants in Naqu, Tibet. Additionally, it is possible to provide specific recommendations for the development of medical and healthcare facilities in Tibet.

Methods

The health scores of the participants were based on their responses to the four main sections of the questionnaire: dietary habits, living habits, health knowledge, and clinical disease history, and the variability of health status among groups with different characteristics was analyzed based on the scores. The four major sections were used to create classes of participants using latent class analysis (LCA). Using logistic regression, the factors influencing the classification of latent classes of health status were investigated.

Results

A total of 995 residents from 10 counties in Naqu were selected as the study subjects. And their demographic characteristics were described. The mean health score of residents after standardization was 81.59 ± 4.68. With the exception of gender, health scores differed between groups by age, education level, different occupations, marital status, and monthly income. The health status in Naqu, Tibet, was divided into two groups (entropy = 0.29, BLRT = 0.001, LMRT = 0.001) defined as the "good health group" and the "general health group." A monthly income of more than ¥5000 adverse to good health in Naqu, Tibet.

Discussion

Single, well-educated young adults in Naqu, Tibet, have outstanding health. The vast majority of people in Tibet's Naqu region were in good health. Furthermore, the population's latent health status was divided into two classes, each with good dietary and living habits choices, low health knowledge, and a history of several clinical diseases. Univariate and multivariate logistic regression analysis showed that monthly income more than ¥5000 was an independent risk factor for poor health status.