Healthy sleep pattern reduce the risk of cardiovascular disease: A 10-year prospective cohort study

The link between sleep bruxism and oxidative stress based on a polysomnographic study

Oxidative stress is proven to increase cardiovascular risk and to diminish healthy life expectancy. Sleep bruxism (SB) is a prevalent masticatory muscle activity during sleep characterized by heterogeneous etiology and inadequately recognized pathophysiology. Recent theories have proposed a potential association between SB and oxidative stress. The aim of the research was to compare the antioxidant status between individuals with SB in contrast to those without SB. A total of 80 adults participated in a full-night polysomnography, assessed according to the American Academy of Sleep Medicine (AASM) standards. Blood samples were subsequently drawn via venipuncture for analysis. Participants were stratified into two groups based on their bruxism episode index (BEI). Using successive receiver operating characteristic (ROC) curves, optimal cut-off values were identified, enabling the detection of correlations with moderate (BEI > 2) and severe (BEI > 4) sleep bruxism. In the investigated group of patients we observed the relationship between bruxism and the examined parameters: total antioxidant status (TAS), advanced protein products (AOPP) and thiobarbituric acid-reacting substances (TBARS). Low TAS (≤ 0.14 mM and ≤ 0. 16 mM), high AOPP (≥ 82.44 µmol/l) and high TBARS (≥ 723.03 µmol/l and ≥ 1585.45 µmol/l) serum levels result in significantly higher sleep bruxism parameters. Sleep bruxism is related to oxidative stress markers. Elevated markers of lipid and protein peroxidation may be associated with endovascular damage and cardiovascular risk in sleep bruxers, but further research is needed in this topic.

The Frequency of Occurrence of Cardiovascular Risk Factors and Awareness оf Them Among Young People in Higher Education Institutions

OBJECTIVE

To assess the prevalence of risk factors  of cardiovascular disease (CV RF) development and awareness of them among young people studing at University.

MATERIAL AND METHODS

Сross-sectional study study included 1182 young men and women studying at Lomonosov Moscow State University (age 18-44 years), with no history of chronic non-infectious diseases, who underwent a screening  in April-June 2022. All participants filled out the standard "Questionnaire for citizens under the age of 65 years to identify chronic non-communicable diseases, risk factors for their development, and the use of narcotic drugs and psychotropic substances without prescription", a specially designed questionnaire on socio-demographic characteristics and risk factors for CVD development, and a questionnaire on nighttime sleep status. Results. In young men, the most common FRs were low fruit and vegetable intake (46.8%). Sleep disturbances were reported by 28.8% of men and 34.5% of women. Low physical activity was present in 1 in 5 young people. Obesity was found in 5.0% of the study participants. Young women in general showed greater awareness of CV RF. The most frequent factor mentioned in the questionnaire was smoking. More than 60% of respondents mentioned low physical activity and  nutritional factors , while obesity and overweight were mentioned by only 16% of respondents.More CV RFs were named by natural science students, and more smokers were identified among them.

CONCLUSION

The obtained data allow us to speak about the high prevalence of behavioral CV RFs  and insufficient awareness of their adverse health effects in young people, even with a high level of education. The effectiveness of preventive measures can be largely determined by their precise targeting. Raising awareness of the need for greater consumption of fruits and vegetables, sleep norms, the dangers of arterial hypertension, hypodynamia and obesity, in our opinion, is an important component of preventive work among students in universities.

Sleep and hypertension - up to date 2024

People spend one-third of their lives sleeping, and adequate, restful sleep is an essential component of a healthy life. Conversely, disruption of sleep has been found to cause various physical and mental health problems. Emerging research has shown that blood pressure (BP) during sleep is a stronger predictor of cardiovascular events than conventional office BP or daytime BP. Thus, management of both sleep health and nighttime BP during sleep is important for preventing cardiovascular events. However, recent studies demonstrated that nighttime BP is poorly controlled compared with office BP and daytime BP. This finding is understandable, given the challenges in monitoring BP during sleep and the multiplicity of factors related to nocturnal hypertension and BP variability. This review summarizes recent evidence and considers future perspectives for the management of sleep and hypertension.

Association between sleep behaviors and stroke in Southwest China: a prospective cohort study

BACKGROUND

Sleep can function as a potential modifiable risk factor in the control and prevention of stroke. Geography significantly influences sleep patterns. The association of sleep with stroke in population of Southwest China has not so far been investigated.

METHODS

A total of 55,001 residents aged from 30 to 79 years in Southwest China were included in this study, obtaining their complete information of baseline survey and follow-up in China Kadoorie Biobank (CKB). Sleep-evaluating score was constructed on the basis of short/long sleep duration, insomnia, and snoring. The multivariate Cox proportional hazards regression was used to analyze the association between sleep behaviors and stroke.

RESULTS

During 11.15 years of follow-up, 3410 stroke cases (572.78 cases/100,000 person-years) were documented. There exists no association of sleep-evaluating score with the risk of stroke in the total population. Male-predisposing association between sleep-evaluating score and risk of stroke was observed (for total stroke, HR = 1.52, 95% CI: 1.03-2.23; for hemorrhagic stroke, HR = 2.31, 95% CI: 1.22-4.34), with anisotropism in male residents with overweight and obesity (HR = 1.93, 95% CI: 1.03-3.63), and those without hypertension (HR = 1.76, 95% CI: 1.01-3.07) in the baseline survey.

CONCLUSIONS

There exists the male-predisposing association between sleep-evaluating score and the risk of stroke in Southwest China. Improving sleep is required for reducing the risk of stroke.

Relationship of Suboptimal and Disordered Sleep with Cardiovascular Disease and Its Risk Factors - A Narrative Review

BACKGROUND

Cardiovascular disease (CVD), including coronary heart disease and cerebrovascular disease, is already amongst the leading causes of morbidity and mortality worldwide, but its burden continues to rise. Over time, relevant risk factors for CVD have been identified, many of which are modifiable. More recently, the relationship of sleep and CVD has been of interest, specifically increased rates of disrupted and disordered sleep, which have been found to be associated with CVD. Longitudinal studies have linked sleep difficulties to a predisposition of vascular risk factors, suggesting a potential role for sleep improvement in primary and secondary CVD.

SUMMARY

In the present narrative review article, we summarize the current body of research linking suboptimal sleep (e.g., short/long sleep, fragmented sleep) as well as nonbreathing-related sleep disorders (i.e., insomnia, restless legs syndrome/peripheral leg movements of sleep, narcolepsy) to modifiable CVD risk factors and CVD outcomes (morbidity and mortality).

Inflammatory Markers and Sleep Architecture in Sleep Bruxism-A Case-Control Study

Background: Sleep bruxism (SB) is a common sleep-related movement behavior with a multifaceted etiology and a deficiently understood pathophysiology. A recent hypothesis suggests a link between SB and systemic inflammation. The scope of the study was to determine whether bruxers have altered sleep structure and different levels of inflammatory parameters compared to nonbruxers. Methods: A total of 83 adults underwent full-night polysomnography. The polysomnograms were evaluated using the American Academy of Sleep Medicine (AASM) guidelines. Then, the blood samples were obtained from the participants by venipuncture and the analyses were performed. The study group was divided based on bruxism episode index (BEI) into two groups: BEI ≤ 4 and BEI > 4. Results: In comparison with nonbruxers, the oxygen desaturation index (ODI) was significantly higher in severe bruxers (7.5 ± 11.08 vs. 3.33 ± 5.75, p < 0.005), as well as the arousal parameters (7.77 ± 4.68 vs. 4.03 ± 2.97, p < 0.001), and the mean oxygen desaturation (3.49 ± 0.69 vs. 3.01 ± 0.67, p < 0.05). Moreover, the differences in sleep architecture and deprivation of the deep sleep phase were observed, the non-REM sleep stage 3 was significantly shorter in severe bruxers (p < 0.03). Differences were also noted in non-REM sleep stage 1 and REM sleep phase. In the investigated group, there were no statistical differences in inflammatory cytokines levels between bruxers and nonbruxers. Conclusions: Sleep bruxism is associated with sleep structure alterations and may be associated with deep sleep phase deprivation. The inflammatory markers are not linearly correlated with the severity of sleep bruxism expressed as BEI.

Association of sleep characteristics with cardiovascular disease risk in adults over 40 years of age: a cross-sectional survey

Background

The relationship between sleep characteristics and cardiovascular disease (CVD) risk has yet to reach a consistent conclusion, and more research needs to be carried out. This study aimed to explore the relationship between snoring, daytime sleepiness, bedtime, sleep duration, and high-risk sleep patterns with CVD risk.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) 2015-2018 were collected and analyzed. Multivariable logistic regression was used to evaluate the relationship between snoring, daytime sleepiness, bedtime, sleep duration, high-risk sleep patterns, and CVD risk. Stratified analysis and interaction tests were carried out according to hypertension, diabetes and age.

Results

The final analysis contained 6,830 participants, including 1,001 with CVD. Multivariable logistic regression suggested that the relationship between snoring [OR = 7.37,95%CI = (6.06,8.96)], daytime sleepiness [OR = 11.21,95%CI = (9.60,13.08)], sleep duration shorter than 7 h [OR = 9.50,95%CI = (7.65,11.79)] or longer than 8 h [OR = 6.61,95%CI = (5.33,8.19)], bedtime after 0:00 [OR = 13.20,95%CI = (9.78,17.80)] compared to 22:00-22:59, high-risk sleep patterns [OR = 47.73,95%CI = (36.73,62.04)] and CVD risk were statistically significant. Hypertension and diabetes interacted with high-risk sleep patterns, but age did not.

Conclusions

Snoring, daytime sleepiness, excessive or short sleep duration, inappropriate bedtime, and high-risk sleep patterns composed of these factors are associated with the CVD risk. High-risk sleep patterns have a more significant impact on patients with hypertension and diabetes.

Sleep patterns and risks of incident cardiovascular disease and mortality among people with type 2 diabetes: a prospective study of the UK Biobank

BACKGROUND

To explore the relationship between sleep patterns and cardiovascular disease (CVD) incidence and mortality risk in a population with type 2 diabetes through a UK Biobank sample.

METHODS

A total of 6860 patients with type 2 diabetes were included in this study. Five sleep factors (including Chronotype, sleep duration, insomnia, daytime sleepiness, and snoring) were collected as a questionnaire. The calculation generates a sleep score of 0-5, and then three sleep patterns were defined based on the sleep scores: poor sleep pattern (0-2), Intermediate sleep pattern (3-4), and healthy sleep pattern (5). HRs and 95% confidence intervals were calculated by multivariate COX proportional risk model adjustment. Restricted cubic splines were used to validate linear associations between sleep scores CVD events.

RESULTS

Our results found a reduced risk of CVD events in individuals with healthy sleep patterns compared to participants with poor sleep patterns. CVD Mortality (HR, 0.690; 95% CI 0.519-0.916), ASCVD (Atherosclerosis CVD) (HR, 0.784; 95% CI 0.671-0.915), CAD (Coronary Artery Disease) (HR, 0.737; 95% CI 0.618-0.879), PAD (Peripheral Arterial Disease) (HR, 0.612; 95% CI 0.418-0.896), Heart Failure (HR, 0.653; 95% CI 0.488-0.875). Restricted cubic spline responded to a negative linear correlation between sleep scores and CVD Mortality, ASCVD, CAD, PAD, and Heart Failure.

CONCLUSIONS

Healthy sleep patterns are significantly associated with a reduced risk of CVD Mortality, ASCVD, CAD, PAD, and Heart Failure in the diabetes population.

Is sleep quality a moderated mediator between perceived stress and depression among stroke patients?

Background

Sleep quality can offer new insights into addressing depression among stroke patients. However, the current understanding of the mechanism by which sleep quality reduces depression is not clear in existing research.

Objectives

This study aimed to identify the relationships and mechanisms among perceived stress, sleep quality, social support, and depression in stroke patients.

Methods

A multicenter cross-sectional study was conducted from January to May 2023. Cluster random sampling was used to recruit 500 stroke patients from five hospitals in Henan Province, China. The Chinese Perceived Stress Scale (CPSS), Pittsburgh Sleep Quality Index (PSQI), Social Support Rating Scale (SSRS), and Hamilton Depression Scale (HAMD-24) were employed to assess perceived stress, sleep quality, social support, and depression, respectively. Data were analyzed using descriptive analysis, Pearson's correlation analysis, and moderated mediation analysis. The study adhered to the STROBE checklist for reporting.

Results

Out of 500 participants, 471 completed the survey (94.2%). After controlling for sex and age, mediation analysis revealed that poor sleep quality partially mediated the relationship between perceived stress and depression (β = 0.184, 95% CI: 0.110, 0.359). Additionally, social support played a moderating role in the mediation model.

Conclusion

This study explained the moderated mediation of sleep quality and social support between perceived stress and depression. It provided a theoretical basis for the development of a sleep quality intervention program for reducing depression among stroke patients.

Association of Objective Sleep Characteristics and Incident Angina Pectoris: A Longitudinal Analysis from the Sleep Heart Health Study

Purpose

While prior research has highlighted a significant association between sleep characteristics and angina pectoris (AP) incidence, the link between sleep efficiency (SE) and angina remains unexplored. This study seeks to elucidate the relationship between AP and objectively quantified SE.

Patients and Methods

We examined a cohort of 2990 participants (1320 males and 1670 females; mean age 63.69 ± 13.2 years) from the Sleep Heart Health Study. The main exposure variable was SE, as determined by baseline home polysomnography, while the primary outcome was the first incidence of angina pectoris (AP) during the period between the baseline polysomnography and the end of follow-up. A multivariate Cox regression model was utilized, controlling for factors such as age, gender, BMI, smoking and alcohol consumption habits, diabetes, hypertension, sleep duration, triglycerides, cholesterol, high-density lipoprotein, apnea-hypopnea index, nocturnal oxygen saturation, to analyze the relationship between SE and AP.

Results

During an average follow-up of 11 years, 284 patients developed AP. The unadjusted Kaplan-Meier analysis identified the 2nd quartile of SE as having the lowest AP risk. The multivariate Cox proportional hazards model demonstrated a higher risk of AP in quartile 1 (HR, 1.679; 95% CI, 1.109-2.542; P <0.014) and quartile 3 (HR, 1.503; 95% CI, 1.037-2.179; P <0.031), compared to quartile 2 of SE. Upon stratified analysis, this relationship was particularly pronounced in hypertensive individuals.

Conclusion

Our results highlight the critical role of optimal sleep efficiency in mitigating the risk of angina pectoris, especially among hypertensive individuals.

Exposure to polycyclic aromatic hydrocarbons increases the risk of poor sleep pattern in US adults: results from the NHANES (2005-2010)

Recently, polycyclic aromatic hydrocarbons (PAHs) were found to be linked to various diseases. The current study's objective was to explore whether or not there was a relation between PAH exposure and poor sleep pattern. We evaluated nine urine PAH metabolites as exposures in our cross-sectional research based on the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2010. Logistic regression, restricted cubic spline regression (RCS) model, weighted quantile sum (WQS) regression, subgroup analysis, and mediation analysis were used to assess the associations between PAH metabolism and poor sleep pattern risk. After controlling for all confounding variables, several primary PAH metabolites, namely 1-hydroxynapthalene (1-NAP, OR 1.32, 95% CI 1.04-1.68), 2-hydroxyfluorene (2-FLU, OR 1.34, 95% CI 1.05-1.71), 1-hydroxyphenanthrene (1-PHE, OR 1.30, 95% CI 1.03-1.64), 9-hydroxyfluorene (9-FLU, OR 1.38, 95% CI 1.09-1.74), and ∑PAHs (OR 1.33, 95% CI 1.05-1.69), compared to the bottom tertile, were associated with increased risk of poor sleep pattern. The WQS regression analysis showed that 9-FLU and 1-NAP comprised the two most important factors related to poor sleep pattern. Mediation analysis revealed that inflammation acted as a mediator between PAHs and the prevalence of poor sleep pattern. In conclusion, exposure to PAHs may be associated with poor sleep pattern. Inflammation is a mediator of the effects of PAH exposure on poor sleep pattern.

The U-Shaped Association between Sleep Duration, All-Cause Mortality and Cardiovascular Risk in a Hispanic/Latino Clinically Based Cohort

Sleep is essential for life, and inappropriate sleep duration patterns may lead to chronic consequences regarding human health. Several studies have confirmed the presence of a U-shaped association between sleep duration and mortality. Moreover, many consequences related to cardiometabolic aspects have been suggested in patients with abnormal sleep durations. In this study, we analyzed the associations between sleep duration, total sleep time (TST), the risk of all-cause mortality, and 10-year cardiovascular risk in a cohort of patients at a sleep medicine center in Santiago, Chile. We conducted a prospective cohort study of patients (SantOSA). A short TST was defined as ≤6 h, a normal TST as 6 to 9 h, and a long TST as ≥9 h. Adjusted hazard ratios (aHRs) for all-cause mortality were calculated. A cross-sectional analysis between TST and 10-year cardiovascular risk (calculated using the Framingham 2008 formula) was determined using logistic regression models. A total of 1385 subjects were included in the results (78% male; median age: 53, interquartile range (IQR): 42-64 years; median BMI: 29.5, IQR: 16.7-33.1). A total of 333 subjects (24%) reported short TSTs, 938 (67.7%) reported normal TSTs, and 114 (8.3%) reported long TSTs. In the fully adjusted model, the association remained significant for short (aHR: 2.51 (1.48-4.25); p-value = 0.01) and long TSTs (aHR: 3.97 (1.53-10.29); p-value = 0.04). Finally, a U-shaped association was found between short and long TSTs, with an increase in cardiovascular risk at 10 years. Compared with normal TSTs, short (≤6 h) and long (≥9 h) TSTs were significantly associated with all-cause mortality and increased 10-year cardiovascular risk.