Associations between sleep duration and cardiovascular diseases: A meta-review and meta-analysis of observational and Mendelian randomization studies

Cardiovascular risk in newly diagnosed patients with type 2 diabetes mellitus: a nationwide, facility-based, cross-sectional study in Bangladesh

Aims

Evidence on cardiovascular (CV) risk stratification in Bangladeshi patients with type 2 diabetes mellitus (T2DM) who are asymptomatic for cardiovascular disease (CVD) is limited. This study aimed to assess the 10-year CV risk in newly diagnosed patients with T2DM.

Methods

In 2023, a cross-sectional study was carried out at endocrinology clinics in tertiary hospitals throughout Bangladesh, involving newly diagnosed patients with T2DM aged 25 to 84 who had no prior history of CVD and were asymptomatic for the condition. CV risk was assessed and classified using QRISK3.

Results

1617 newly diagnosed patients with T2DM (age 44.92 ± 11.84 years, male 49.5 %) were analyzed. Their median QRISK3 score was 11.0 %, with 46.5 % at low, 25.7 % at moderate, and 27.8 % at high 10-year CV risk, respectively. The QRISK3 score increased with age for both men and women, with men consistently scoring higher than women in every age group. Among the age groups 25-39, 40-64, and 65-84, the percentages of patients with high 10-year CV risk were 3.3 %, 34.0 %, and 94.5 %, respectively. The median relative risk (RR) of CVD was 4.3. RR decreased with age for both sexes, and men had a lower RR than women across all age groups. A sleep duration of 6-9 h was associated with a lower 10-year CV risk.

Conclusions

Many newly diagnosed Bangladeshi patients with T2DM have substantial CV risk. QRISK3 can assist clinicians in predicting 10-year CV risk and choosing appropriate treatments to prevent CVD.

From Single Movement Behaviors to Complete 24-h Behaviors Profiles and Multiple Health Outcomes-A Cross-Sectional Study Using Accelerometry

Movement behaviors research has evolved from focusing on single behaviors to multiple behaviors within a 24-h perspective. However, it is unknown if 24-h movement behavior profiles are consistently associated across multiple health outcomes. Thus, we aimed to investigate this. We used data from 807 adults who wore thigh accelerometers and recorded daily sleep/work times over 1-4 days and were categorized into four 24-h movement behavior profiles: "Chimpanzees" (balanced distribution of movement behaviors in work and leisure; n = 226, reference), "Lions" (more active work and sleep, and less active leisure; n = 179), "Ants" (more active overall, less sedentary work and similar sleep, n = 244), and "Koalas" (more sedentary and sleep, and less active overall n = 158). Cardiorespiratory fitness and systolic blood pressure were measured, while low back pain and self-rated health were self-reported. Linear or ordinal logistic regression assessed the cross-sectional associations between these profiles and outcomes, adjusting for age, sex, BMI, smoking, alcohol, occupational lifting/carrying, and work type. We found that referencing Chimpanzees, Lions were detrimentally associated with cardiorespiratory fitness (B = -2.70 mLO2/min/kg, p < 0.01), but beneficially associated with systolic blood pressure (B = -3.49 mmHg, p < 0.05) and low back pain (odds ratio, OR = 0.67, p = 0.03). Koalas were detrimentally associated with systolic blood pressure (B = 3.66 mmHg, p < 0.05) and cardiorespiratory fitness (B = -2.83 mLO2/min/kg, p < 0.01). Ants were detrimentally associated with self-reported health (OR = 1.78, p < 0.01). We conclude that no 24-h movement behavior profile was consistently (i.e., solely beneficial or detrimental) associated with the health outcomes. These findings indicate that research and practice about 24-h movement behaviors need to consider multiple outcomes.

Inadequate sleep increases stroke risk: evidence from a comprehensive meta-analysis of incidence and mortality

The link between abnormal sleep duration and stroke outcomes remains contentious. This meta-analysis quantifies how both short and long sleep durations impact stroke incidence and mortality. A comprehensive search was conducted in PubMed, Web of Science, Cochrane Library, Embase, and Google Scholar up to November 1, 2024, to identify cohort studies evaluating sleep duration and stroke outcomes. Meta-analysis was performed using MetaAnalysisOnline.com and a random-effects model to estimate pooled hazard ratios (HRs). Results were visualized through Forest and Funnel plots. Analysis of 43 studies (35 on stroke incidence, 8 on mortality) revealed significant associations between sleep duration and stroke outcomes. Short sleep duration (≤ 5-6 h) was associated with increased stroke incidence (HR 1.29, 95% CI 1.19-1.40, p < 0.01) and modestly elevated mortality (HR 1.12, 95% CI 1.01-1.25, p = 0.03). Long sleep duration (> 8-9 h) demonstrated stronger associations with both increased stroke incidence (HR 1.46, 95% CI 1.33-1.60, p < 0.01) and mortality (HR 1.45, 95% CI 1.31-1.60, p < 0.01). Significant heterogeneity was observed in incidence studies (I2 = 74-75%), while mortality analyses showed moderate to low heterogeneity (I2 = 35-40%). This meta-analysis highlights a U-shaped association between sleep duration and stroke risk, with both short and long sleep durations linked to higher stroke incidence and mortality. These findings underscore the importance of balanced sleep duration as a modifiable risk factor in stroke prevention strategies and provide a foundation for the Semmelweis Study, a prospective workplace cohort investigating the role of modifiable lifestyle factors in unhealthy cerebrovascular and brain aging.

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.

Associations between daytime napping, sleep duration, and depression and 15 cardiovascular diseases: a Mendelian randomization study

Background

Numerous studies have documented the effects of daytime napping, sleep duration, and depression on cardiovascular diseases (CVDs). However, the evidence has been gleaned from observational studies that might be riddled with confounding variables and the possibility of reverse causation bias. Therefore, the present study employed a Mendelian randomization (MR) methodology to meticulously explore the relationships between daytime napping, sleep duration, and depression, and the risk profiles of CVDs.

Methods

Genome-wide significant genetic variants associated with daytime napping, sleep duration, and depression were used as the instrumental variables (IVs). Data on the genetic correlations between these IVs and 15 CVDs were derived from the United Kingdom (UK) Biobank, Finnish Genome Studies, and other large-scale collaborations. We conducted both univariate and multivariate MR analyses to assess the overall effects and mediated relationships after adjusting for potential confounders, including body mass index (BMI), smoking status, and type 2 diabetes. The effect sizes were estimated using inverse variance-weighted (IVW) regression.

Results

The MR analysis revealed that an increased risk of heart failure (HF) [odds ratio (OR): 1.366; 95% confidence interval (CI): 1.013-1.842; P=0.04], coronary atherosclerosis (OR: 1.918; 95% CI: 1.257-2.927; P=0.003), myocardial infarction (MI) (OR: 1.505; 95% CI: 1.025-2.211; P=0.04), and coronary artery disease (CAD) (OR: 1.519; 95% CI: 1.130-2.043; P=0.006) was significantly associated with genetically predicted daytime napping. Prolonged sleep duration was found to be related to a reduced risk of HF (OR: 0.995; 95% CI: 0.993-0.998; P=2.69E-04), peripheral vascular disease (PVD) (OR: 0.984; 95% CI: 0.971-0.997; P=0.02), and CAD (OR: 0.997; 95% CI: 0.994-0.999; P=0.006). Additionally, a statistically significant positive relationship was observed between depressive disorders and the occurrence of atrial fibrillation (AF) (OR: 1.298, 95% CI: 1.065-1.583, P=0.01), indicating a heightened susceptibility. The multivariable MR analyses substantiated the reliability of the observed associations between daytime napping and the incidence of HF and CAD, following adjustments for genetically predicted BMI and smoking. The sensitivity analysis did not reveal any evidence of horizontal pleiotropy or heterogeneity, thus supporting the validity of the study's results.

Conclusions

This MR investigation posits a potential causal nexus between daytime napping, sleep duration, and depression, and the genesis of CVDs, offering new perspectives on the prevention and management of CVDs.

Multidimensional Sleep Profiles via Machine learning and Risk of Dementia and Cardiovascular Disease

Importance

Sleep health comprises several dimensions such as duration and fragmentation of sleep, circadian activity, and daytime behavior. Yet, most research has focused on individual sleep characteristics. Studies are needed to identify sleep profiles incorporating multiple dimensions and to assess how different profiles may be linked to adverse health outcomes.

Objective

To identify actigraphy-based 24-hour sleep/circadian profiles in older men and to investigate whether these profiles are associated with the incidence of dementia and cardiovascular disease (CVD) events over 12 years.

Design

Data came from a prospective sleep study with participants recruited between 20032005 and followed until 2015-2016.

Setting

Multicenter population-based cohort study.

Participants

Among the 3,135 men enrolled, we excluded 331 men with missing or invalid actigraphy data and 137 with significant cognitive impairment at baseline, leading to a sample of 2,667 participants.

Exposures

Leveraging 20 actigraphy-derived sleep and circadian activity rhythm variables, we determined sleep/circadian profiles using an unsupervised machine learning technique based on multiple coalesced generalized hyperbolic mixture modeling.

Main Outcomes and Measures

Incidence of dementia and CVD events.

Results

We identified three distinct sleep/circadian profiles: active healthy sleepers (AHS; n=1,707 (64.0%); characterized by normal sleep duration, higher sleep quality, stronger circadian rhythmicity, and higher activity during wake periods), fragmented poor sleepers (FPS; n=376 (14.1%); lower sleep quality, higher sleep fragmentation, shorter sleep duration, and weaker circadian rhythmicity), and long and frequent nappers (LFN; n=584 (21.9%); longer and more frequent naps, higher sleep quality, normal sleep duration, and more fragmented circadian rhythmicity). Over the 12-year follow-up, compared to AHS, FPS had increased risks of dementia and CVD events (Hazard Ratio (HR)=1.35, 95% confidence interval (CI)=1.02-1.78 and HR=1.32, 95% CI=1.08-1.60, respectively) after multivariable adjustment, whereas LFN showed a marginal association with increased CVD events risk (HR=1.16, 95% CI=0.98-1.37) but not with dementia (HR=1.09, 95%CI=0.86-1.38).

Conclusion and Relevance

We identified three distinct multidimensional profiles of sleep health. Compared to healthy sleepers, older men with overall poor sleep and circadian activity rhythms exhibited worse incident cognitive and cardiovascular health. These results highlight potential targets for sleep interventions and the need for more comprehensive screening of poor sleepers for adverse outcomes.

Sleep duration irregularity and risk for incident cardiovascular disease in the UK Biobank

Background

Emerging evidence supports a link between circadian disruption as measured by higher night-to-night variation in sleep duration and increased risk of cardiovascular disease (CVD). It remains unclear whether this association varies by CVD types or may be modified by average sleep duration and genetic risk for CVD.

Methods

Our prospective analysis included 86,219 UK Biobank participants who were free from CVD when completing 7 days of accelerometer measurement in 2013-2016. Sleep irregularity was evaluated by the standard deviation (SD) of accelerometer-measured sleep duration over 7 days. Incident major CVD events, defined as fatal or nonfatal myocardial infarction (MI) and stroke, were identified through linkage to Hospital Episode Statistics data until May 31, 2022. Multivariable-adjusted Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% CIs for associations of sleep duration SD with risk for major CVD events overall and for MI and stroke separately.

Results

We documented 2,310 incident cases of major CVD events (MI: 1,183, stroke: 1,175) over 636,258 person-years of follow-up. After adjusting for sociodemographic factors and family history of CVD, the HR (95% CI) associated with a 1-hour increase in sleep duration SD was 1.19 (1.10, 1.27) for CVD (p-trend<0.0001), 1.23 (1.11, 1.35) for MI (p-trend<0.0001), and 1.17 (1.05, 1.29) for stroke (p-trend=0.003). Additional adjustment for lifestyle factors, co-morbidities and sleep-related factors modestly attenuated these associations. Higher sleep irregularity was associated with higher CVD risk irrespective of genetic risk (p-interaction=0.43), but this association was stronger among individuals with longer average sleep duration >8 hours (p-interaction=0.006).

Conclusions

Higher night-to-night variation in accelerometer-measured sleep duration was associated with consistently higher risks for major CVD events. The association did not seem to be modified by genetic risk for CVD and was more pronounced in long sleepers.

The Role of Sleep in Cardiovascular Disease

PURPOSE OF REVIEW

Sleep is an important component of cardiovascular (CV) health. This review summarizes the complex relationship between sleep and CV disease (CVD). Additionally, we describe the data supporting the treatment of sleep disturbances in preventing and treating CVD.

RECENT FINDINGS

Recent guidelines recommend screening for obstructive sleep apnea in patients with atrial fibrillation. New data continues to demonstrate the importance of sleep quality and duration for CV health. There is a complex bidirectional relationship between sleep health and CVD. Sleep disturbances have systemic effects that contribute to the development of CVD, including hypertension, coronary artery disease, heart failure, and arrhythmias. Additionally, CVD contributes to the development of sleep disturbances. However, more data are needed to support the role of screening for and treatment of sleep disorders for the prevention of CVD.

Sleep duration in midlife and old age and risk of mortality over a 48-year follow-up: The Helsinki businessmen study (HBS) cohort

OBJECTIVES

Both short and long sleep duration have been associated with increased mortality, but there are few truly long-term studies.

STUDY DESIGN

This is a cohort study of 2504 men born between 1919 and 1934. In 1974-1975 (mean age 48), participants underwent baseline clinical examinations and sleep duration assessments. A follow-up examination took place 35 years later, in 2010 (mean age 82).

MAIN OUTCOME MEASURE

All-cause mortality data from baseline and from old age were collected through to December 31, 2022.

RESULTS

At baseline, short sleep duration (≤6 h per night), normal sleep duration (>6 and ≤ 8 h), and long sleep duration (>8 h) was reported by 266, 2019 and 219 men, respectively. Men with short sleep duration had higher levels of smoking, alcohol consumption, body mass index, and poorer self-rated health than those with normal sleep duration. During the 48-year follow-up, 2287 men died. The unadjusted hazard ratio for mortality was 1.20 (95 % confidence interval [CI] 1.05-1.37) for short compared with normal sleep duration, but this association vanished after adjustments (1.01, 95 % CI 0.87-1.17). In old age, the corresponding hazard ratios were 1.41 (1.16-1.72) and 1.19 (0.94-1.51) for short sleep duration and 1.33 (1.09-1.63) and 1.31 (1.02-1.67) for long sleep duration.

CONCLUSIONS

In a comprehensive lifespan follow-up, the modestly increased mortality among men with short sleep duration in midlife was attributed to unhealthy lifestyle factors. In old age both long and short sleep duration seemed to be associated with modestly increased mortality.

CLINICALTRIALS

gov identifier for the HBS: NCT02526082.

Sleep is Essential for Cardiovascular Health: An Analytic Review of the Relationship Between Sleep and Cardiovascular Mortality

The American Heart Association recently included sleep health as one of eight factors that define cardiovascular health. Restorative sleep is a pillar of lifestyle medicine influenced by sleep duration, quality, and disorders. Short and long sleep duration are associated with greater risk of cardiovascular disease. Short sleep appears causally related to cardiovascular risk. Long sleep is more strongly predictive of cardiovascular risk, which may be due to comorbidities and other risk factors. Good-quality sleep appears to protect against the increased risk and is independently associated with risk of cardiovascular disease (CVD). Insomnia, particularly difficulty falling asleep and non-restorative sleep, is associated with an increase in cardiac events. Obstructive sleep apnea (OSA) is associated with cardiac risk and outcomes, which is typically observed in the context of contributing comorbidities. However, treating OSA with continuous positive airway pressure (CPAP) may not improve prognosis. Further research is needed to understand the causal mechanisms connecting sleep health with CVD and whether modifying sleep can improve outcomes. Sleep health should be considered as part of a holistic approach to improving cardiovascular health, as reflected in the scoring of LE8 and as one of the interrelated components of lifestyle medicine.

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.

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.

The association between sleep duration and muscle sympathetic nerve activity

PURPOSE

Sleep duration is associated with risk of hypertension and cardiovascular diseases. It is thought that shorter sleep increases sympathetic activity. However, most studies are based on acute experimental sleep deprivation that have produced conflicting results. Furthermore, there are limited data available on habitual sleep duration and gold-standard measures of sympathetic activation. Hence, this study aimed to assess the association between habitual sleep duration and muscle sympathetic nerve activity.

METHODS

Twenty-four participants aged ≥ 18 years were included in the study. Sleep was assessed using at-home 7-day/night actigraphy (ActiGraph™ GT3X-BT) and sleep questionnaires (Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale). Microelectrode recordings of muscle sympathetic nerve activity were obtained from the common peroneal nerve. Participants were categorised into shorter or longer sleep duration groups using a median split of self-report and actigraphy sleep measures.

RESULTS

Compared to longer sleepers, shorter sleepers averaged 99 ± 40 min and 82 ± 40 min less sleep per night as assessed by self-report and objective measures, respectively. There were no differences in age (38 ± 18 vs 39 ± 21 years), sex (5 male, 7 female vs 6 male, 6 female), or body mass index (23 ± 3 vs 22 ± 3 kg/m2) between shorter and longer sleepers. Expressed as burst frequency, muscle sympathetic nerve activity was higher in shorter versus longer sleepers for both self-report (39.4 ± 12.9 vs 28.4 ± 8.5 bursts/min, p = 0.019) and objective (37.9 ± 12.4 vs 28.1 ± 8.8 bursts/min, p = 0.036) sleep duration.

CONCLUSIONS

Shorter sleep duration assessed in a home setting was associated with higher muscle sympathetic nerve activity. Sympathetic overactivity may underlie the association between short sleep and hypertension.

Correlation of plasma metabolites and comorbid illnesses with poor sleep quality in patients with coronary heart disease

PURPOSE

This study aimed to examine the relationship between plasma metabolites (biochemical parameters) and comorbid illnesses with sleep quality in individuals with coronary heart disease (CHD).

METHODS

This descriptive cross-sectional study was conducted between 2020 and 2021 at a university hospital. Hospitalized patients with a diagnosis of CHD were analyzed. The Personal Information Form' and Pittsburgh Sleep Quality Index (PSQI) were used to collect data. Laboratory findings including plasma metabolites were examined.

RESULTS

Of 60 hospitalized patients with CHD, 50 (83%) had poor sleep quality. A positive and statistically significant correlation was found between the plasma metabolite blood urea nitrogen and poor sleep quality (r = 0.399; p = 0.002). The presence of CHD and additional chronic diseases (especially diabetes mellitus, hypertension, and chronic kidney disease) are important parameters associated with the risk of poor sleep quality (p = 0.040 < 0.05).

CONCLUSION

Increases in blood urea nitrogen level in individuals with CHD are associated with worse sleep quality. Additional chronic diseases coexisting with CHD correlate with increased risk of poor sleep quality.

Sleep duration and Framingham´s cardiovascular risk score: results from the Hoveyzeh Cohort Study (HCS)

BACKGROUND

Cardiovascular diseases (CVDs) are the leading causes of global deaths. So, it is necessary to know the possible risk factors for each region. We aimed to assess the relationship between the risk of CVDs and sleep duration in the Iranian Arab population.

METHODS

In this cross-sectional study, data from 8362 participants aged between 35 and 70 from the Hoveyzeh Cohort Study enrollment phase between 2016 and 2018 was analyzed. This study evaluated the association between ten-year CVD risk using the Framingham risk score and sleep duration. Self-reported sleep duration was categorized as short duration (equal to or less than 5 h), standard duration (6-8 h), or prolonged duration (equal to or greater than 9 h). Multivariable logistic regression to adjust for conventional CVD risks was used.

RESULTS

Among the assessed participants, 4892 (58.50%) were female, and the mean age was 47.93 (9.01). The average sleep duration was 7.59 (1.56) hours. The low, intermediate-to-high, and high CVD risk individuals were 6461 (77.27%), 1185 (14.17%), and 716 (8.56%), respectively. There was a significant relationship between prolonged sleep duration and lower odds of intermediate-to-high CVD risk in males (OR 0.66, 95% CI: 0.49-0.87, P-value: 0.004).

CONCLUSION

The results of our study showed that longer sleep duration has a protective association with the intermediate to high risk of cardiovascular diseases in males. However, long and short sleep durations have no significant relationship with females' risk of cardiovascular disease.

Poor sleep and shift work associate with increased blood pressure and inflammation in UK Biobank participants

Disrupted circadian rhythms have been linked to an increased risk of hypertension and cardiovascular disease. However, many studies show inconsistent findings and are not sufficiently powered for targeted subgroup analyses. Using the UK Biobank cohort, we evaluate the association between circadian rhythm-disrupting behaviours, blood pressure (SBP, DBP) and inflammatory markers in >350,000 adults with European white British ancestry. The independent U-shaped relationship between sleep length and SBP/DBP is most prominent with a low inflammatory status. Poor sleep quality and permanent night shift work are also positively associated with SBP/DBP. Although fully adjusting for BMI in the linear regression model attenuated effect sizes, these associations remain significant. Two-sample Mendelian Randomisation (MR) analyses support a potential causal effect of long sleep, short sleep, chronotype, daytime napping and sleep duration on SBP/DBP. Thus, in the current study, we present a positive association between circadian rhythm-disrupting behaviours and SBP/DBP regulation in males and females that is largely independent of age.

The association between sleep deprivation and the risk of cardiovascular diseases: A systematic meta‑analysis

Globally, sleep deprivation is a concerning health issue associated with an increased risk of cardiovascular diseases (CVDs). The present study aimed to explore the association between short-term sleep and the risk of CVDs, taking into consideration sex and age groups. A comprehensive review was conducted by assembling cohort studies that are available in the PubMed, Cochrane Library, and Embase databases. Individuals with ≤5 or ≤6 h of sleep per day were considered as sleep-deprived subjects. To minimize potential bias, two reviewers thoroughly evaluated the selected articles. Relevant data were extracted, and pooled odds ratios (ORs) or relative risks (RRs) were calculated using a random-effects model. In total, 18 cohort studies involving adult subjects were included in the present analysis. The pooled results strongly indicated that sleep deprivation was associated with a greater risk of CVDs [RR: 1.09, 95% confidence interval (CI): 1.02-1.16, P=0.009]. However, when the pooled analysis was stratified by sex and age, the following results were observed: short-term sleep women (RR: 1.06, 95% CI: 0.96-1.17, P=0.27), short-term sleep men (RR: 1.07, 95% CI: 0.97-1.17, P=0.17); ≥18 years-old sleep-deprived population (RR: 1.09, 95% CI: 1.00-1.17, P=0.04), ≥40 years-old sleep-deprived population (RR: 1.09, 95% CI: 0.98-1.22, P=0.11), and subjects with co-existing diseases, such as diabetes and hyperlipidemia (RR: 1.06, 95% CI: 0.94-1.20, P=0.32). In conclusion, short-term sleep is associated with the increased risk of CVDs. Among subjects who were aged ≥18 years-old, there was a strong association with the development of CVDs compared with those who were aged ≥40 years-old. Furthermore, men were at a higher risk of CVDs than women. Adequate sleep (7-8 h per day) may play a role in improving cardiac health. The results of the present study may provide valuable support for further research in public health, highlighting the correlation between sleep deprivation and the risk of CVDs.

Joint Associations of Device-Measured Sleep Duration and Efficiency With All-Cause and Cause-Specific Mortality: A Prospective Cohort Study of 90 398 UK Biobank Participants

BACKGROUND

Both sleep duration and efficiency are essential for health outcomes. However, few studies have considered the effects of both sleep duration and efficiency on predicting the risks of mortality. This study investigated the independent and joint associations of accelerometer-measured sleep duration and efficiency with all-cause and cause-specific mortality.

METHODS

The UK Biobank is a cohort study of over 500 000 individuals recruited between 2006 and 2010. This study included participants wearing wrist accelerometers for 7 consecutive days between February 2013 and December 2015. Mortality was ascertained by the national death registries.

RESULTS

Of the 90 398 participants (age, 62.4 [7.8] years, 43.5% male) who were included, 2 685 deaths were reported within a median follow-up duration of 6.4 years. Both accelerometer-measured short (adjusted hazard ratios, 1.27; 95% confidence interval [CI]: 1.11-1.45) and long sleep duration (adjusted hazard ratios, 1.16; 95% CI: 1.06-1.28) were positively associated with the risks of all-cause mortality. Lower sleep efficiency was associated with an increased risk of all-cause and cause-specific mortality. Significant interaction existed between accelerometer-measured sleep duration and efficiency for the risk of all-cause mortality (Pinteraction = .001), participants with long sleep duration and lower sleep efficiency had a double mortality risk compared with those with higher sleep efficiency and normal sleep duration (adjusted hazard ratios = 2.11; 95% CI: 1.44-3.09).

CONCLUSIONS

Accelerometer-measured short/long sleep duration and lower sleep efficiency were associated with increased risks of mortality. Sleep efficiency modified the effects of long sleep duration on survival.

Non-Conventional Risk Factors: "Fact" or "Fake" in Cardiovascular Disease Prevention?

Cardiovascular diseases (CVDs), such as arterial hypertension, myocardial infarction, stroke, heart failure, atrial fibrillation, etc., still represent the main cause of morbidity and mortality worldwide. They significantly modify the patients' quality of life with a tremendous economic impact. It is well established that cardiovascular risk factors increase the probability of fatal and non-fatal cardiac events. These risk factors are classified into modifiable (smoking, arterial hypertension, hypercholesterolemia, low HDL cholesterol, diabetes, excessive alcohol consumption, high-fat and high-calorie diet, reduced physical activity) and non-modifiable (sex, age, family history, of previous cardiovascular disease). Hence, CVD prevention is based on early identification and management of modifiable risk factors whose impact on the CV outcome is now performed by the use of CV risk assessment models, such as the Framingham Risk Score, Pooled Cohort Equations, or the SCORE2. However, in recent years, emerging, non-traditional factors (metabolic and non-metabolic) seem to significantly affect this assessment. In this article, we aim at defining these emerging factors and describe the potential mechanisms by which they might contribute to the development of CVD.

Nonlinear associations between sleep duration and the risks of all-cause and cardiovascular mortality among the general adult population: a long-term cohort study

Objective

This study aims to investigate the correlation between sleep duration and all-cause and cardiovascular mortality in the general population.

Methods

A total of 26,977 participants aged ≥18 years were included in the analysis from the National Health and Nutrition Examination Survey (NHANES) database covering the period from 2005 to 2014. Data on cardiovascular and all-cause deaths were collected until December 2019. Sleep duration was assessed using a structured questionnaire, and participants were categorized into five groups based on their reported sleep duration (≤5, 6, 7, 8, or ≥9 h). Kaplan-Meier survival curves were employed to examine the mortality rates across different sleep duration groups. Multivariate Cox regression models were utilized to explore the association between sleep duration and mortality. Additionally, a restricted cubic spline regression model was employed to identify the non-linear relationship between sleep duration and all-cause and cardiovascular mortality.

Results

The average age of participants was 46.23 ± 18.48 years, with 49.9% of the subjects being male. Over a median follow-up period of 9.42 years, 3,153 (11.7%) participants died from all-cause mortality, among which 819 (3.0%) were attributed to cardiovascular causes. The groups with sleep durations of ≥9 and ≤5 h exhibited the lowest cumulative survival rates for all-cause mortality and cardiovascular mortality, respectively. When using a sleep duration of 7 h as the reference, the hazard ratios (with 95% confidence intervals) for all-cause mortality were 1.28 (1.14-1.44) for ≤5 h, 1.10 (0.98-1.23) for 6 h, 1.21 (1.10-1.34) for 8 h, and 1.53 (1.35-1.73) for ≥9 h. The hazard ratios (with 95% confidence intervals) for cardiovascular mortality were 1.32 (1.04-1.67) for ≤5 h, 1.22 (0.97-1.53) for 6 h, 1.29 (1.05-1.59) for 8 h, and 1.74 (1.37-2.21) for ≥9 h. A U-shaped non-linear relationship between sleep duration and all-cause and cardiovascular mortality was observed, with inflection point thresholds at 7.32 and 7.04 h, respectively.

Conclusion

The findings suggest that the risk of all-cause and cardiovascular mortality is minimized when sleep duration is approximately 7 h.

Sleep duration, hypnotic drug use, and risk factors: cross- sectional study

Both short sleep duration (SSD) and long sleep duration (LSD) are associated with an increased risk of morbidity and mortality. Here, we aimed to assess the prevalence of sleep duration disturbances among adults in association with demographic, medication use, personal habits, and chronic diseases, while also considering the impact of hypnotic drug use. We performed a cross-sectional study of 9991 adult participants of the Rafsanjan Cohort Study (RCS), as part of the Prospective epidemiological research studies in Iran (PERSIAN). Multivariate logistic regression analyses were conducted to assess the association between short (< 6 h) and long (> 9 h) sleep duration with demographic and lifestyle parameters and common non-communicable diseases. Additionally, we performed stratified analysis to investigate the association of sleep duration with the abovementioned factors and diseases, in groups with and without hypnotic drug use. We found higher odds of SSD significantly associated with age (P < 0.001), BMI (P < 0.001), physical activity (P < 0.001), and depression (P = 0.023). LSD displayed a positive association with the female sex (P < 0.001), opium consumption (P < 0.001), and history of MI (P = 0.045), and a reverse connection with education (P = 0.007), physical activity (P < 0.001) and alcohol consumption (P = 0.027). Stratifying for the hypnotic drug use, our sensitivity analyses indicated that in hypnotic drug users, education (P = 0.034) and physical activity (P < 0.001) were associated with LSD, in this group, significantly increased odds ratio of LSD were associated with opium consumption (P = 0.046) and thyroid dysfunction (P = 0.037). Our findings demonstrated the demographic and lifestyle factors and diseases associated with long and short sleep duration in the population of the RCS. Additionally, after stratifying for hypnotic drug use, our results indicated that some diseases are only associated with abnormal sleep duration upon using hypnotic drugs.

Genetic evidence suggests that depression increases the risk of erectile dysfunction: A Mendelian randomization study

Background: The causal relationship between depression and erectile dysfunction (ED) is still uncertain.

Objectives: To identify the genetically predicted causality of depression on ED through Mendelian randomization (MR).

Materials and methods: A comprehensive GWAS meta-analysis comprising 807,553 Europeans provided single-nucleotide polymorphism (SNP) information for depression, and another genome-wide association analysis involving 223,805 European ancestries measured SNPs for ED. The inverse variance weighted (IVW) method was used as the primary MR analysis method to evaluate causal effects. In addition, the maximum likelihood method, MR-Egger, weighted median, robust adjusted contour score (MR.RAPS), and MR pleiotropic residual and outlier (MR-PRESSO) methods were used as supplements for sensitivity analysis.

Results: According to the IVW analysis, depression significantly increases the incidence of ED (odds ratio [OR] = 1.68, 95% confidence interval [CI] = 1.38–2.05, p < 0.001). In sensitivity analyses, the ORs for the maximum likelihood method, MR-Egger, weighted median, MR.RAPS, and MR-PRESSO are 1.70 (95% CI = 1.39–2.08, p < 0 .001), 1.94 (95% CI = 0.63–6.01, p > 0 .05), 1.59 (95% CI = 1.21–2.10, p < 0 .001), 1 .70 (95% CI = 1.39–2.08, p < 0 .001), and 1.68 (95% CI = 1.40–2.04, p < 0 .001). There is no clear indication of potential heterogeneity or pleiotropy (p for the MR-Egger intercept = 0.804; p for the global test = 0.594; and p for Cochran’s Q statistics >0.05).

Conclusion: Genetically predicted depression plays a potentially causal role in the occurrence of ED.