Influence of poor sleep on cardiovascular disease-free life expectancy: a multi-resource-based population cohort study

Sex Differences in Insomnia and Circadian Rhythm Disorders: A Systematic Review

Insomnia and circadian rhythm disorders are increasingly common in modern society and lead to significant challenges for people's health and well-being. Some studies suggests that men and women differ in neurohormonal secretion, biological processes, and brain morphology. Thus, such differences may affect the etiology, manifestation, and course of sleep disorders, including insomnia and circadian rhythm. This systematic review aims to synthesize the existing literature on sex differences in insomnia and circadian rhythm disorders. PubMed, MEDLINE, Epistemonikos, and Cochrane databases were searched for articles published from inception until 5 September 2023, not older than five years. We performed a systematic search using MESH and non-MESH queries: (sex differences) or (male and female differences) or (men and women differences) or (men and women) AND (insomnia) or (sleep wake disorder*) or (sleep wake rhythm disorder*) or (circadian rhythm disorder*) or (sleep cycle disruption) or (sleep cycle disorder*). Out off 2833 articles screened, 11 studies were included. The prevalence of insomnia is higher among women, and their sleep is more regular and stable compared to men. Studies evaluating the impact of the stressful situation associated with the lockdown on women's and men's insomnia present discordant results concerning sex differences. Women's circadian rhythm was found to be more stable and less fragmented than men's. However, the progression of peak activity time with age was more pronounced in men. The current literature suggests that risk factors for insomnia and circadian rhythm disorders affect men and women differently. These include cerebrovascular and cardiometabolic factors, shift work, and infections. The long-term effects of insomnia seem to be more relevant for the male sex, shortening lifespan more than in women. By summarizing and analyzing existing studies, we highlight the need for further research to improve understanding of the interaction between sex and sleep.

Association of sleep duration, chronotype, social jetlag, and sleep disturbance with phenotypic age acceleration: A cross-sectional analysis

OBJECTIVE

Sleep is a critical health-related behavior; research evidence has shown that sleep duration, poor sleep quality and insomnia are associated with aging and relevant age-related diseases. However, the associations between sleep duration, chronotype, sleep disturbance, and biological age have not been comprehensively assessed. This study aimed to examine sleep characteristics with biological age.

METHODS

The study included 6534 participants aged 20 years and older from the National Health and Nutrition Examination Survey between 2017 and March 2020. Sleep questionnaires were used to collect information on sleep duration and wake behavior on workdays and workfree days and sleep disturbance. Phenotypic age acceleration (PhenoAgeAccel) was estimated as a biological age measure using 9 blood chemistry biomarkers.

RESULTS

Long sleep (>9 hours) and extremely short sleep (≤4 hours) on workdays were positively associated with PhenoAgeAccel, compared with optimal sleep duration (7-8 hours). Similar positive associations with PhenoAgeAccel were observed for sleep duration on workfree days and across the whole week. Both slightly evening and evening chronotypes were associated with faster PhenoAgeAccel compared to morning chronotype. Social jetlag and sleep disturbance were not associated with PhenoAgeAccel, while long corrected social jetlag was associated with faster PhenoAgeAccel. The associations of sleep duration, chronotype, and corrected social jetlag with PhenoAgeAccel appeared stronger among females than among males.

CONCLUSIONS

Findings suggest a U-shape relationship between sleep duration and biological aging; slightly evening and evening chronotypes may be risk factors for aging. Further studies are needed to confirm these findings.

Relation of Sleep Quality to a Panel of Plasma Cardiometabolic Markers in Airline Pilots: A Cross-Sectional Study

Background Insomnia and poor sleep are leading modifiable risk factors for cardiovascular disease. Given the high susceptibility of airline pilots (APs) to sleep disturbances, we sought to investigate the hypothesis that poor sleep in this professional group correlates with alterations in plasma biochemical markers that would reflect critical aspects in the pathophysiology of cardiometabolic disorders. Methods In this preliminary cross-sectional study, we examined the relation of poor sleep to fourteen plasma biomarkers reflecting multiple cardiometabolic pathways in a convenience sample of 117 male APs. The Pittsburgh Sleep Quality Index (PSQI) was used to categorize the participants into good sleepers (n = 70, 59.8%; PSQI scores from 0 to 4) and poor sleepers (n = 47, 40.2%; PSQI scores of 5 or higher). The concentrations of biomarkers were compared between the two groups using both univariable and multivariable analyses. Results Compared to good sleepers, APs identified as poor sleepers exhibited significantly different levels of four plasma cardiometabolic biochemical markers in univariable analysis. However, in multivariable-adjusted analysis, only three biomarkers, adiponectin, fibroblast growth factor (FGF)-21, and growth differentiation factor (GDF)-15, remained independently associated with poor sleep. Conclusion Poor sleep quality in APs correlates with lower plasma concentrations of adiponectin and elevated levels of FGF-21 and GDF-15. Further longitudinal studies are required to elucidate the role of these biomarkers in the link between sleep disturbances and cardiometabolic risk in this professional group.

Sleep duration and mortality in patients with chronic noncommunicable disease: a population-based cohort study

BACKGROUND

Inadequate sleep behaviors may confer a higher risk of premature death, however, evidence in patients with chronic noncommunicable disease (NCD) is scarce. To investigate the relationship between sleep duration and mortality from all-cause and heart diseases in NCD patients from a prospective cohort.

METHODS

Totally, 14,171 participants with at least one NCD, including 8275 with hypertension, 7547 with high cholesterol, 4065 with diabetes, and 5815 with chronic renal failure were enrolled from the National Health and Nutrition Examination Survey during 2005-2014. Cox proportional hazard models were performed to estimate the hazard ratio (HR) for sleep duration and mortality after adjusting for potential confounding factors.

RESULTS

After a median follow-up of 9 years, 2514 all-cause deaths were identified. Compared with sleeping 7-8 h/day, sleeping over 8 h/day was significantly associated with a higher risk of all-cause mortality, where the multivariable-HRs were 1.29 (1.11, 1.50) for hypertension, 1.23 (1.01, 1.51) for high cholesterol, 1.44 (1.13, 1.82) for diabetes, and 1.36 (1.10, 1.68) for chronic renal failure. Similar patterns were observed for heart disease mortality. A nonlinear association was detected between sleep duration and mortality in patients with NCD. Age modified the association in patients with hypertension (P-interaction: 0.036). Trouble sleeping modified the association in patients with diabetes (P-interaction: 0.042).

CONCLUSIONS

Long sleep duration was associated with higher risks of all-cause and heart disease mortality in patients with chronic NCD. Our findings highlight that improving sleep behaviors may decrease the risk of premature deaths and help to NCD tertiary prevention.

Life's Essential 8 and risk of incident heart failure in community population without cardiovascular disease: Results of the sub-cohort of China PEACE Million Persons Project

OBJECTIVE

The American Heart Association has introduced the Life's Essential 8 metrics to evaluate and promote cardiovascular health (CVH) and we aimed to evaluate the association of CVH and incident heart failure (HF).

METHODS

The China PEACE Million Persons Project is a population-based cardiovascular disease (CVD) screening study. This was a sub-cohort of the project that included individuals free of CVD at baseline. Components and classifications of CVH, including diet, physical activity, smoking status, sleep status, body mass index (BMI), non-high density lipoprotein (non-HDL), blood glucose and blood pressure, were determined based on the Life's Essential 8. CVH status was categorized as poor, intermediate and ideal status. HF cases were identified by linking hospital records.

RESULTS

Among the cohort (n = 38,571, median age 54 years and women 60.5%), proportion of individuals with poor, intermediate and ideal CVH was 30.7%, 56.9% and 12.4%. After a median follow-up of 3.56 years, the incidence of HF in individuals with poor, intermediate and ideal CVH was 2.5%, 1.1% and 0.5% respectively. Compared to poor CVH, intermediate (adjusted HR: 0.52 [95% CI: 0.43-0.61]) and ideal CVH (adjusted HR: 0.38 [95% CI: 0.26-0.57]) were associated with a lower HF risk. A gradient of association between CVH and HF risk was observed (P-trend<0.001). Ideal physical activity, ideal smoking status, and intermediate and ideal status of BMI, blood glucose and blood pressure were associated with a lower HF risk.

CONCLUSION

Poor CVH was associated with an increased risk of HF, and promotion of CVH may help prevent HF development.

Unveiling the sleep-cardiovascular connection: Novel perspectives and interventions-A narrative review

Introduction

Sleep is an important neurophysiological condition that is intricately linked to general health, laying the basis for both physiological and psychological well-being. A thorough examination of sleep disorders and cardiovascular health demonstrates their deep relationship, emphasizing the numerous diagnostic tools and treatment techniques available.

Aim

This study aims to examine the impact, mechanisms, diagnostic techniques, treatment strategies, implications, and healthcare interventions of the sleep-cardiovascular connection, to better understand the relationship between sleep disorders and cardiovascular health.

Methods

The paper reviews key studies conducted from 2015-till date, investigating the impact of sleep disorders on the cardiovascular system. It looked into data relating to cardiovascular outcomes based on the degree of sleep disorders, considered potential confounding factors, and addressed current research constraints.

Results

The findings highlight a strong link between sleep problems and poor cardiovascular outcomes. Emerging diagnostic tools, such as enhanced sleep-related technology and biomarkers, open up new avenues for determining the impact of sleep disturbances on cardiovascular health. In addition, the research discusses several treatment options, ranging from cognitive behavioral therapy to pharmaceutical therapies, and their potential benefits in addressing sleep-related cardiovascular risks.

Conclusion

The complex association between sleep disturbances and cardiovascular health emphasizes the need to recognize sleep as a critical component of overall well-being. Thus collaboration among medical disciplines, as well as individualized therapies, are critical to improving patient care. Moreover, Understanding and managing the consequences of sleep problems on cardiovascular health can lead to more effective interventions, better outcomes, and improved public health as research advances.

Extrinsic and intrinsic modulators of inflammation-resolution signaling in heart failure

Chronic and uncleared inflammation is the root cause of various cardiovascular diseases. Fundamentally, acute inflammation is supportive when overlapping with safe clearance of inflammation termed resolution; however, if the lifestyle-directed extrinsic factors such as diet, sleep, exercise, or physical activity are misaligned, that results in unresolved inflammation. Although genetics play a critical role in cardiovascular health, four extrinsic risk factors-unhealthy processed diet, sleep disruption or fragmentation, sedentary lifestyle, thereby, subsequent stress-have been identified as heterogeneous and polygenic triggers of heart failure (HF), which can result in several complications with indications of chronic inflammation. Extrinsic risk factors directly impact endogenous intrinsic factors, such as using fatty acids by immune-responsive enzymes [lipoxygenases (LOXs)/cyclooxygenases (COXs)/cytochromes-P450 (CYP450)] to form resolution mediators that activate specific resolution receptors. Thus, the balance of extrinsic factors such as diet, sleep, and physical activity feed-forward the coordination of intrinsic factors such as fatty acids-enzymes-bioactive lipid receptors that modulates the immune defense, metabolic health, inflammation-resolution signaling, and cardiac health. Future research on lifestyle- and aging-associated molecular patterns is warranted in the context of intrinsic and extrinsic factors, immune fitness, inflammation-resolution signaling, and cardiac health.

Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring

Sleep is essential for physical and mental health. Polysomnography (PSG) procedures are labour-intensive and time-consuming, making diagnosing sleep disorders difficult. Automatic sleep staging using Machine Learning (ML) - based methods has been studied extensively, but frequently provides noisier predictions incompatible with typical manually annotated hypnograms. We propose an energy optimization method to improve the quality of hypnograms generated by automatic sleep staging procedures. The method evaluates the system's total energy based on conditional probabilities for each epoch's stage and employs an energy minimisation procedure. It can be used as a meta-optimisation layer over the sleep stage sequences generated by any classifier that generates prediction probabilities. The method improved the accuracy of state-of-the-art Deep Learning models in the Sleep EDFx dataset by 4.0% and in the DRM-SUB dataset by 2.8%.