Relationship between Duration of Sleep and Hypertension in Adults: A Meta-Analysis

Acute partial sleep deprivation attenuates blood pressure responses to cycling exercise

Exaggerated blood pressure (BP) responses during exercise are independently associated with future development of hypertension. Partial sleep deprivation (PSD) can increase 24-h ambulatory BP, but the effects on exercise BP are unclear. We hypothesized that acute PSD would augment the BP response to constant load cycling exercise and a 20-min time trial. Twenty-two healthy adults (22 ± 3 yr old; 13 males; V̇o2peak, 43.6 ± 8.2 mL·kg-1·min-1) completed a randomized crossover trial in which they either slept normally (normal sleep-wake schedule for each participant) or sleep was partially deprived (early awakening, 40% of normal sleep duration). Each participant completed a 12-min warm-up consisting of two 6-min steps (step 1, 62 ± 25 W; step 2, 137 ± 60 W) followed by a 20-min time trial on a cycle ergometer. PSD did not alter power output during the 20-min time trial [(control vs. PSD) 170 ± 68 vs. 168 ± 68 W, P = 0.65]. Systolic BP did not differ during step 1 of the warm-up (141 ± 15 vs. 137 ± 12 mmHg, P = 0.39) but was lower following PSD during step 2 (165 ± 21 vs. 159 ± 22 mmHg, P = 0.004) and the 20-min time trial (171 ± 20 vs. 164 ± 23 mmHg, P < 0.001). These results were maintained when peak oxygen uptake (V̇o2peak) was included as a covariate. Systolic BP responses were modulated by sex (time × visit × sex interaction P = 0.03), with attenuated systolic BP during the warm-up and the 20-min time trial in males but not in females. In contrast to our hypothesis, acute PSD attenuates systolic BP responses during constant load and 20-min time trial cycling exercise; however, these observations appear to be primarily driven by changes in males.NEW & NOTEWORTHY A single night of partial sleep deprivation (PSD) can increase ambulatory blood pressure (BP) the following day. Despite this phenomenon, the present study found that acute PSD attenuates systolic BP responses to both constant load cycling and a 20-min cycling time trial in young healthy adults. Interestingly, the attenuated systolic BP responses following PSD appeared to be modulated by sex such that attenuations were observed in males but not in females.

Sleep-related impairment among people who use opioids: The critical role of structural vulnerability

OBJECTIVE

People who use opioids are vulnerable to sleep disturbances due to a range of factors, including the substances they use and the various structural vulnerabilities they face. We aimed to understand the burden of sleep-related impairment and problems pertaining to sleep context and schedule among people who use opioids.

METHODS

We explored sleep quality and problems among a suburban sample of people who use opioids experiencing extensive structural vulnerabilities (N = 170). Participants reported their most urgent concern in the past week (e.g., sleep, drug use, housing), their sleep context, sleep problems, sleep schedules, and scores on the PROMIS Sleep-Related Impairment measure. We then quantified associations between Sleep-Related Impairment scores and sociodemographics and substance use.

RESULTS

Participants were primarily men (66%) and non-Hispanic Black (67%) with a mean age of 42 (SD: 12.1). Many experienced hunger (44%) and literal homelessness (40%). One-quarter (28%) reported that sleep was their most urgent concern in the past week. The most common problems when falling or staying asleep were mental health-related symptoms (81%) and pain/discomfort (32%). Literal homelessness (β = 2.2, 95% CI: 0.6, 3.7), hunger (β = 2.3, 95% CI: 1.0, 3.6), and frequent alcohol use (β = 1.5, 95% CI: 0.2, 2.7) were significantly associated with Sleep-Related Impairment scores.

CONCLUSIONS

Homelessness and hunger are associated with sleep-related impairment in people who use opioids. Poor sleep quality, substance use, structural vulnerability, and mental health problems are all interrelated sources of functional impairment in this population. Interventions that address poverty as an underlying cause of sleep-related impairment and provide safe sleeping environments are needed.

A Large-Scale Genome-Wide Gene-Sleep Interaction Study in 732,564 Participants Identifies Lipid Loci Explaining Sleep-Associated Lipid Disturbances

We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify novel genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. We collected data from 55 cohorts with a combined sample size of 732,564 participants (87% European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) total sleep time were defined by the extreme 20% of the age- and sex-standardized values within each cohort. Based on cohort-level summary statistics data, we performed meta-analyses for the one-degree of freedom tests of interaction and two-degree of freedom joint tests of the main and interaction effect. In the cross-population meta-analyses, the one-degree of freedom variant-sleep interaction test identified 10 loci (P int <5.0e-9) not previously observed for lipids. Of interest, the ASPH locus (TG, LTST) is a target for aspartic and succinic acid metabolism previously shown to improve sleep and cardiovascular risk. The two-degree of freedom analyses identified an additional 7 loci that showed evidence for variant-sleep interaction (P joint <5.0e-9 in combination with P int <6.6e-6). Of these, the SLC8A1 locus (TG, STST) has been considered a potential treatment target for reduction of ischemic damage after acute myocardial infarction. Collectively, the 17 (9 with STST; 8 with LTST) loci identified in this large-scale initiative provides evidence into the biomolecular mechanisms underpinning sleep-duration-associated changes in lipid levels. The identified druggable targets may contribute to the development of novel therapies for dyslipidemia in people with sleep disturbances.

Association of conventional cigarette smoking, heated tobacco product use and dual use with hypertension

BACKGROUND

Heated tobacco products (HTPs) have emerged as alternatives to conventional cigarettes. However, their health effects remain largely unknown. This study aimed to prospectively explore the association between the use of cigarettes and HTPs and the risk of hypertension.

METHODS

This cohort study analysed data from 30 152 workers (82.0% men, mean age 42.9 ± 11.0 years) who were initially free of hypertension, participating in the Japan Epidemiology Collaboration on Occupational Health Study. Participants were categorized into five groups based on their self-reported tobacco product use: never smokers, past smokers, exclusive cigarette smokers, exclusive HTP users and dual users of cigarettes and HTPs. Hypertension cases were identified using three data points from annual health checkup data collected between 2019 and 2021. Cox proportional hazards regression models were used to investigate the association between tobacco product use and hypertension.

RESULTS

During a mean follow-up of 2.6 years (range: 0.1-4.0 years), 3656 new cases of hypertension were identified. Compared with never smokers, the risk of hypertension was higher among exclusive cigarette smokers [hazard ratio (HR) 1.26, 95% confidence interval (CI) 1.13-1.41] and exclusive HTP users (HR 1.19, 95% CI 1.06-1.34). There was also a suggestion of increased risk of hypertension among dual users (HR 1.16, 95% CI 0.98-1.38). Furthermore, the risk of hypertension increased with the intensity of cigarette/HTP use in all tobacco product users.

CONCLUSIONS

Similarly, both cigarette smoking and HTP use elevate the risk of hypertension. HTPs should not be regarded as less harmful alternatives to traditional cigarettes for preventing hypertension.

Associations of actigraph sleep characteristics with blood pressure among older adults

OBJECTIVES

Many studies have examined links between sleep and blood pressure, with mixed findings, mostly using self-reported sleep data and cross-sectional designs. We examined whether actigraph-estimated sleep characteristics are associated with concurrent blood pressure or 5-year blood pressure change in a national cohort of older adults (National Social Life, Health and Aging Project), and whether these associations differ by hypertension medication use.

METHODS

Subjects were 669 older adults (62-90years), 471 with 5-year follow-up data. Sleep characteristics were duration (linear plus quadratic terms); sleep percentage; and categorical onset, midpoint, and waking times. Multivariable linear models adjusted for age, race, gender, obesity, smoking, daytime napping, and hypertension medication use. Interactions between sleep characteristics and hypertension medication were tested among the 401 subjects with consistent hypertension medication status over time.

RESULTS

We found U-shaped cross-sectional and longitudinal relationships between duration and blood pressure, with shorter and longer sleep times associated with higher blood pressure. Later onset times were cross-sectionally associated with higher systolic blood pressure, while earlier onset times were longitudinally associated with systolic blood pressure increase. Midpoint, wake time, and sleep percentage were not significantly associated with blood pressure. Significant interaction terms suggested hypertension medications attenuated associations of sleep onset and wake time with diastolic blood pressure.

CONCLUSIONS

These results with actigraph-estimated parameters confirm some, but not all, associations reported from research based on self-reported sleep data. Our findings are consistent with recommended intermediate sleep durations for cardiovascular health and suggest hypertension medication use may attenuate some associations between sleep timing and blood pressure.

The Global Prevalence of Metabolic Syndrome in Connection with Sleep Duration: A Systematic Review and Meta-Analysis

The duration and quality of sleep are believed to significantly influence the onset of metabolic syndrome (MetS), but existing data lack consistency. The meta-analysis aims to evaluate the prevalence of the MetS in association with sleep duration. We conducted a systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses 2020 guidelines. A comprehensive search of PubMed, Google Scholar, and Research Gate databases was performed to identify cohort and cross-sectional studies published in English between 2013 and 2023. We included studies that examined the association between sleep duration/quality and MetS, and two independent reviewers assessed study quality and bias using the Newcastle-Ottawa scale. The systematic review included 11 studies with a total of 343,669 participants, including 4 cohort studies and 7 cross-sectional studies. Sample sizes varied widely, ranging from 293 to 162,121 individuals. The studies had different follow-up periods, participant ages ranging from 10 to 80 years, and predominantly male populations. The prevalence of MetS was higher in average sleepers [52%, 95% confidence interval (CI): 40%-64%] compared with short sleepers (13%, 95% CI: 8%-18%) and long sleepers (15%, 95% CI: 9%-24%). Globally, North American countries exhibit the highest prevalence of MetS across short- (25.3%, 95% CI: 4.2%-72.4%) and long-sleeper (22.4%, 95% CI: 2.8%-74.1%) categories, whereas Asian countries experience the highest prevalence among the average sleeper category (58.7%, 95% CI: 44.1%-71.9%). Our meta-analysis indicates an elevated prevalence of MetS in average sleepers. Future research endeavors address delve into the underlying mechanisms and incorporate objective measures to understand the multifaceted connection between sleep patterns and MetS, guiding more effective preventive and management strategies.

Quality of sleep among hypertensive patients attending a rural health training centre

Introduction

Sleep is a vital biological, reparative, and restorative phenomenon, and poor sleep has a serious detrimental effect on health. Poor sleep quality is a serious problem as it adversely affects a person's ability to function physically and socially, as well as their potential for profession and quality of life. The degree of hypertension directly affects sleep quality, and poor sleep can exacerbate hypertensive symptoms. This study assesses hypertension patients' sleep quality in a rural health training centre in Chennai.

Objectives

1. To study the prevalence of poor sleep quality among hypertensive patients. 2. To determine the association between selected socio-demographic factors and sleep quality among these patients.

Materials and Methods

Hypertensives attending the outpatient department of a rural health and training centre were selected in a systematic manner and administered a semi-structured interview schedule and the Pittsburgh Sleep Quality Index (PSQI) questionnaire followed by a basic clinical examination. Using the PSQI, they were categorised as having either poor or good sleep quality and the association between selected socio-demographic factors and sleep quality was assessed.

Results

Out of the 179 study participants, there were almost equal numbers of male and female participants. The mean age of participants was 57.80 years (standard deviation (SD) = 9.8 yrs.). Among the study participants, 44.13% had completed secondary level of school as an education qualification and 6.70% were illiterate. By the modified BG Prasad classification 2022, most of the study participants (34.08%) came under the class II socioeconomic classification. A large proportion (78.8%) of study participants had poor sleep quality. The difference in sleep quality was observed with respect to gender, socio-economic class, alcohol consumption and body mass index (BMI).

Conclusion

This observational study shows that individuals with hypertension suffer significantly from poor sleep. A poor quality of sleep was reported by 78.77% of the patients in this study. Statistically significant factors that influenced sleep quality were gender, alcohol consumption and BMI.

Association between sleep duration and hypertension incidence: Systematic review and meta-analysis of cohort studies

AIM

Sleep duration has been suggested to be associated with hypertension (HTN). However, evidence of the nature of the relationship and its direction has been inconsistent. Therefore, we performed a meta-analysis to assess the relationship between sleep duration and risk of HTN incidence, and to distinguish more susceptible populations.

METHODS

PubMed, Embase, Scopus, Web of Science, and ProQuest were searched from January 2000 to May 2023 for cohort studies comparing short and long sleep durations with 7-8 hours of sleep for the risk of HTN incidence. Random-effect model (the DerSimonian-Laird method) was applied to pool risk ratios (RR) and 95% confidence interval (CI).

RESULTS

We included sixteen studies ranging from 2.4 to 18 years of follow-up duration evaluating HTN incidence in 1,044,035 people. Short sleep duration was significantly associated with a higher risk of developing HTN (HR: 1.07, 95% CI: 1.06-1.09). The association was stronger when the sleep duration was less than 5 hours (HR: 1.11, 95% CI: 1.08-1.14). In contrast to males, females (HR: 1.07, 95% CI: 1.04-1.09) were more vulnerable to developing HTN due to short sleep duration. No significant difference between different follow-up durations and age subgroups was observed. Long sleep duration was not associated with an increased incidence of HTN.

CONCLUSION

Short sleep duration was associated with higher risk of HTN incidence, however, there was no association between long sleep duration and incidence of HTN. These findings highlight the importance of implementing target-specific preventive and interventional strategies for vulnerable populations with short sleep duration to reduce the risk of HTN.

Interaction effects between sleep-related disorders and depression on hypertension among adults: a cross-sectional study

BACKGROUND

Hypertension, sleep disorders, and depression represent notable public health issues, and their interconnected nature has long been acknowledged. The objective of this study is to explore the interplay between sleep disorders and depression in the context of hypertension.

METHODS

This cross-sectional study involved 42,143 participants aged 18 and above from the NHANES database across seven survey cycles between 2005 and 2018. After excluding those with missing data on depression, sleep disorders, and hypertension, as well as incomplete main variables, 33,383 participants remained. We used weighted logistic regression to examine the relationship between sleep disorders, depression, and hypertension. Additionally, we assessed the interaction between sleep disorders and depression on hypertension using both multiplicative and additive approaches to quantify their combined effect.

RESULTS

Compared to individuals without sleep disorders, those with sleep disorders have an increased risk of hypertension (OR = 1.51, 95% CI: 1.37-1.67). Furthermore, individuals with depression experience a significantly higher risk of hypertension compared to those with sleep disorders alone (OR = 2.34, 95% CI: 1.95-2.80). Our study reveals a positive interaction between sleep disorders and depression in relation to hypertension risk (OR = 1.07, 95% CI: 1.02-1.13). In addition, we observed the quantitative additive interaction indicators (RERI = 0.73, 95% CI: 0.56 ~ 0.92; API = 0.31, 95% CI: 0.11 ~ 0.46; SI = 2.19, 95% CI: 1.08-3.46) influencing hypertension risk. Furthermore, our research also identified that individuals with less than 7 h of sleep, a sleep latency period between 5 and 30 min, or a latency period exceeding 30 min experience a significantly increased risk of hypertension.

CONCLUSIONS

Our research uncovered separate links between sleep disorders, depression, and hypertension prevalence. Moreover, we identified an interaction between depression and sleep disorders in hypertension prevalence. Enhancing mental well-being and tackling sleep disorders could help prevent and manage hypertension. Yet, more investigation is required to establish causation and clarify mechanisms.

Device-estimated sleep metrics do not mediate the relation between race and blood pressure dipping in young black and white women

Short, disturbed, and irregular sleep may contribute to blunted nocturnal blood pressure (BP) dipping, a predictor of cardiovascular disease. Black women (BLW) demonstrate less BP dipping and poorer sleep health than White women (WHW). However, it remains unclear whether device-estimated sleep health metrics mediate the relation between race and BP dipping in young women. We hypothesized that the relation between race and BP dipping would be partly mediated by sleep health metrics of sleep duration, sleep efficiency, and sleep regularity. Participants (20 BLW, 17 WHW) were 18-29 years old, normotensive, nonobese, and without evidence of sleep disorders. Systolic and diastolic BP dipping were derived from 24-h ambulatory BP monitoring. Habitual sleep duration and sleep efficiency were estimated via 14 days of wrist actigraphy. Sleep duration regularity was calculated as the standard deviation (SD) of nightly sleep duration (SDSD). Sleep timing regularity metrics were calculated as the SD of sleep onset and sleep midpoint (SMSD). Mediation analysis tested the mediating effect of each sleep metric on the relation between race and BP dipping. BLW experienced less systolic (P = .02) and diastolic (P = .01) BP dipping. Sleep duration (P = .14) was not different between groups. BLW had lower sleep efficiency (P < .01) and higher SDSD (P = .02), sleep onset SD (P < .01) and SMSD (P = .01). No sleep metrics mediated the relation between race and BP dipping (all indirect effects P > .38). In conclusion, mediation pathways of sleep health metrics do not explain racial differences in nocturnal BP dipping between young BLW and WHW.

Sleep Quality in Individuals with and without Persistent Postpartum Hypertension

OBJECTIVE

This study aimed to compare sleep quality at 1 year postpartum following a hypertensive disorder of pregnancy (HDP) among individuals with persistent postpartum hypertension (HTN) compared with those with normal blood pressures (BPs).

STUDY DESIGN

We combined data from the Heart Health 4 New Moms pilot randomized trial (n = 118) and the Pathways prospective cohort study (n = 36). Individuals with a singleton pregnancy complicated by gestational HTN or preeclampsia underwent a research study visit at a mean 48.7 ± 9.5 weeks postpartum with standardized BP measurement and assessment of subjective sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Persistent postpartum HTN was defined as Stage 1 HTN or greater (mean systolic BP ≥ 130 mm Hg or mean diastolic BP ≥ 80 mm Hg over three measurements at rest) or requiring antihypertensive medication. Statistical analysis was performed using univariate and multivariable logistic regression analyses.

RESULTS

Of 154 individuals with an HDP included in the analysis, 84 (55%) were normotensive at 1 year postpartum and 70 (45%) had persistent postpartum HTN. Individuals with persistent postpartum HTN were more likely to be older, self-identify as Black race, have higher prepregnancy and 1-year postpartum body mass index (BMI), be multiparous, and deliver at an earlier gestational age. The mean global PSQI score was 8.7 ± 3.7, with 81% reporting poor sleep (PSQI > 5), and scores were higher among individuals who were persistently hypertensive (9.6 ± 3.5) compared with those who were normotensive at 1 year postpartum (7.9 ± 3.6), p < 0.01. Findings were unchanged in a multivariable model adjusting for age, self-reported race, prepregnancy BMI, and parity.

CONCLUSION

Following an HDP, individuals reported poor sleep quality at 1 year postpartum. Individuals with persistent postpartum HTN reported lower sleep quality, suggesting that sleep behavior may be a target for intervention to improve maternal cardiovascular health following an HDP.

KEY POINTS

· After an HDP, poor sleep quality was common at 1 year postpartum.. · Those with persistent postpartum HTN reported worse sleep quality at 1 year postpartum.. · Sleep behavior may be a target for intervention to improve maternal cardiovascular health..

Association of Life's Essential 8 and Simple 7 Scores With Mortality: Comparison With Pooled Cohort Equation

Background

In 2022, the Life's Simple 7 (LS7) score was replaced with the Life's Essential 8 (LE8) score as a tool to measure cardiovascular health. The risk prediction values of LE8 and LS7 scores for mortality have not been compared. Additionally, the risk prediction value of these scores has not been compared with the pooled cohort equations (PCE) in individuals aged 40 to 79 years.

Objectives

This study compared the risk prediction value of the: 1) LE8 and LS7 scores in the overall population; and 2) LE8 score, LS7 score, and PCE in the 40- to 79-year-old age group for all-cause and cardiovascular mortality in a nationally representative US population.

Methods

The LS7 and LE8 scores and the PCE were calculated in the National Health and Nutrition Examination Survey cycles 2007 to 2018. All-cause and cardiovascular mortality were identified by linking the participants to the National Death Index. The C-statistics of the respective weighted Cox models were used to compare the risk prediction value of the standardized scores.

Results

Among 21,721 individuals included, the C-statistics for all-cause mortality were 0.823 (95% CI: 0.803-0.843) and 0.819 (95% CI: 0.799-0.838) in the LE8 and LS7 score-based models, respectively. The C-statistics for cardiovascular mortality were 0.887 (95% CI: 0.857-0.905) for the LE8 score-based model and 0.883 (95% CI: 0.861-0.905) for the LS7 score-based model. Among 12,943 individuals aged 40 to 79 years, the C-statistics for the outcome of all-cause mortality were 0.756 (95% CI: 0.732-0.779), 0.674 (95% CI: 0.646-0.701), and 0.681 (95% CI: 0.656-0.706) for the PCE, LS7 score, and LE8 score-based models, respectively.

Conclusions

The LS7 and LE8 scores had similar risk prediction values for all-cause and cardiovascular mortality. Among 40- to 79-year-old individuals, the PCE had better risk discrimination in the LE8 and LS7 scores in predicting all-cause mortality.

The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups

A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to provide personalised lifestyle advice directly to the individual through devices such as smartphones or tablets. The overall aim of the PROTEIN project (Wilson-Barnes et al., 2021) was to develop a smartphone application that could provide tailored and dynamic nutrition and physical activity advice directly to the individual in real time. However, to create this mobile health (m-health) smartphone application, a knowledge base of reference ranges for macro-/micronutrient intake, anthropometry, biochemical, physiological and sleep parameters was required to underpin the parameters of the recommender systems. Therefore, the principal aim of this emerging research paper is to describe the process by which experts in nutrition and physiology from the PROTEIN consortium collaborated to develop the nutritional and physical activity requirements, based upon existing recommendations, for 10 separate population groups living within the EU including, but not limited to healthy adults, adults with type 2 diabetes mellitus, cardiovascular disease, excess weight, obesity and iron deficiency anaemia. A secondary aim is to describe the development of a library of 24-h meal plans appropriate for the same groups and also encompassing various dietary preferences and allergies. Overall, the consortium devised an extensive nutrition and physical activity knowledge base that is pertinent to 10 separate EU user groups, is available in 7 different languages and is practically implemented via a library of culturally appropriate, 24-h meal plans.

Sleep duration and its association with constipation in patients with diabetes: The fukuoka diabetes registry

AIMS

Shorter and longer sleep durations are associated with adverse health consequences. However, available evidence on the association of sleep duration with constipation is limited, especially in patients with diabetes, who are at a high risk of both conditions. This study aimed to examine the association between sleep duration and constipation in patients with type 2 diabetes.

METHODS

A total of 4,826 patients with type 2 diabetes were classified into six groups according to sleep duration: <4.5, 4.5-5.4, 5.5-6.4, 6.5-7.4, 7.5-8.4, and ≥8.5 hours/day. The odds ratios for the presence of constipation, defined as a defecation frequency <3 times/week and/or laxative use, were calculated using a logistic regression model.

RESULTS

Shorter and longer sleep durations were associated with a higher likelihood of constipation than an intermediate duration (6.5-7.4 hours/day). This U-shaped association persisted after adjusting for confounding factors, including lifestyle behavior, measures of obesity and glycemic control, and comorbidities. Broadly identical findings were observed when decreased defecation frequency and laxative use were individually assessed.

CONCLUSIONS

This study shows a U-shaped association between sleep duration and constipation in patients with type 2 diabetes, and highlights the importance of assessing sleep duration in daily clinical practice.

Circadian Biology and the Neurovascular Unit

Mammalian physiology and cellular function are subject to significant oscillations over the course of every 24-hour day. It is likely that these daily rhythms will affect function as well as mechanisms of disease in the central nervous system. In this review, we attempt to survey and synthesize emerging studies that investigate how circadian biology may influence the neurovascular unit. We examine how circadian clocks may operate in neural, glial, and vascular compartments, review how circadian mechanisms regulate cell-cell signaling, assess interactions with aging and vascular comorbidities, and finally ask whether and how circadian effects and disruptions in rhythms may influence the risk and progression of pathophysiology in cerebrovascular disease. Overcoming identified challenges and leveraging opportunities for future research might support the development of novel circadian-based treatments for stroke.

Sleep disturbance and sympathetic neural reactivity in postmenopausal females

Sleep disturbance, one of the most common menopausal symptoms, contributes to autonomic dysfunction and is linked to hypertension and cardiovascular risk. Longitudinal studies suggest that hyperreactivity of blood pressure (BP) to a stressor can predict the future development of hypertension. It remains unknown if postmenopausal females who experience sleep disturbance (SDG) demonstrate greater hemodynamic and sympathetic neural hyperreactivity to a stressor. We hypothesized that postmenopausal females with reported sleep disturbance would exhibit increased hemodynamic and sympathetic reactivity to a stressor compared with postmenopausal females without sleep disturbance (non-SDG). Fifty-five postmenopausal females (age, 62 ± 4 yr old; SDG, n = 36; non-SDG; n = 19) completed two study visits. The Menopause-Specific Quality of Life Questionnaire (MENQOL) was used to assess the presence of sleep disturbance (MENQOL sleep scale, ≥2 units). Beat-to-beat BP (finger plethysmography), heart rate (HR; electrocardiogram), and muscle sympathetic nerve activity (MSNA; microneurography; SDG, n = 25; non-SDG, n = 15) were continuously measured during a 10-min baseline and 2-min stressor (cold pressor test; CPT) in both groups. Menopause age and body mass index were similar between groups (P > 0.05). There were no differences between resting BP, HR, or MSNA (P > 0.05). HR and BP reactivity were not different between SDG and non-SDG (P > 0.05). In contrast, MSNA reactivity had a more rapid increase in the first 30 s of the CPT in the SDG (burst incidence, Δ10.2 ± 14.8 bursts/100 hb) compared with the non-SDG (burst incidence, Δ4.0 ± 14.8 bursts/100 hb, time × group, P = 0.011). Our results demonstrate a more rapid sympathetic neural reactivity to a CPT in postmenopausal females with perceived sleep disturbance, a finding that aligns with and advances recent evidence that sleep disturbance is associated with sympathetic neural hyperactivity in postmenopausal females.NEW & NOTEWORTHY This is the first study to demonstrate that muscle sympathetic nerve activity (MSNA) to a cold pressor test is augmented in postmenopausal females with perceived sleep disturbance. The more rapid increase in MSNA reactivity during the cold pressor test in the sleep disturbance group was present despite similar increases in the perceived pain levels between groups. Baseline MSNA burst incidence and burst frequency, as well as blood pressure and heart rate, were similar between the sleep disturbance and nonsleep disturbance groups.

Combined Influence of Eight Lifestyle Factors on Metabolic Syndrome Incidence: A Prospective Cohort Study from the MECH-HK Study

Although previous studies have shown significant associations between individual lifestyles and metabolic syndrome, limited studies have explored the combined effect of lifestyles. The purpose of this study was to investigate whether a combined lifestyle score was associated with metabolic syndrome incidence in Hong Kong Chinese women. This prospective cohort study included 1634 women (55.9 ± 8.6 years) without baseline metabolic syndrome, diabetes, myocardial infarction, or stroke. Eight lifestyle factors (smoking, physical activity, sedentary time, sleep, stress, fatigue, diet, and alcohol) were included by assigning 0 (unhealthy) or 1 point (healthy). The overall score was the sum of these points, ranging from 0 (the least healthy) to 8 points (the healthiest). Metabolic syndrome was diagnosed by the joint interim statement. During a 1.16-year follow-up, 179 (11.0%) new metabolic syndrome cases were identified. The incidences for the 0-3-point, 4-point, 5-point, and 6-8-point groups were 12.8% (79/618), 11.5% (42/366), 9.4% (29/309), and 8.5% (29/341), respectively. Compared to the lowest combined lifestyle score group, the highest group had a 47% reduced metabolic syndrome incidence, with an adjusted odds ratio and 95% confidence interval of 0.53 (0.33-0.86) (p = 0.010). These findings indicate that a higher combined lifestyle score was associated with a lower metabolic syndrome incidence in this population.

Sleep disorders are associated with testosterone deficiency and erectile dysfunction-a U.S. claims database analysis

The relationship between male genitourinary conditions and sleep disorders has previously only been reported in single-institution studies with small cohorts. Our objective was to assess the association of erectile dysfunction (ED) and testosterone deficiency with various sleep disorders using a large claims database. The TriNetX Diamond database was queried in June 2022. In men aged 40-70 years, insomnia, sleep apnea, and circadian rhythm sleep disorder were each independently assessed to determine the association with ED and testosterone deficiency and then followed by propensity score matching performed for age, hypertension, hyperlipidemia, diabetes mellitus, ischemic heart disease, tobacco usage, and obesity. Testosterone deficiency was more likely to be found in men diagnosed with sleep apnea (odds ratio (OR) 1.66 [95% confidence interval (CI) 1.65-1.67]), insomnia (OR 1.74 [95% CI 1.73-1.76]), and circadian rhythm dysfunction (OR 2.63 [95% CI 2.54-2.73]) compared to matched controls. ED was more likely to be found in men diagnosed with sleep apnea (OR 1.02 [95% CI 1.01-1.03]), insomnia (OR 1.30 [95% CI 1.30-1.31]), and circadian rhythm dysfunction (OR 1.54 [95% CI 1.49-1.59]) compared to matched controls. Our results emphasize the negative impact of poor sleep on diseases of the male genitourinary system by identifying these relationships in the largest cohort in the U.S. reported to date.

The Association Between Insomnia, Insomnia Medications, and Erectile Dysfunction

BACKGROUND

Sleep quality and duration have been investigated for their association with health. Insomnia affects up to one-third of adults and may impact male erectile function. In addition, medical treatments for insomnia (many of which are sedatives) may also affect erectile quality.

OBJECTIVE

To investigate the association of erectile dysfunction (ED) in patients diagnosed with and treated for insomnia.

DESIGN, SETTING, AND PARTICIPANTS

We utilized the IBM MarketScan (2007-2016) Commercial and Medicare Supplemental Databases (v 2.0). Age- and enrollment-matched controls were selected among patients without insomnia diagnosis or treatment.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Cox proportional hazard models were used to estimate the risk of incident ED (ie, diagnosis alone, or diagnosis and treatment with phosphodiesterase-5 inhibitors [PDE5i], intracavernous injection (ICI)/urethral suppositories, and penile prosthesis) after the diagnosis or treatment of insomnia while adjusting for relevant comorbidities.

RESULTS AND LIMITATIONS

In total, 539 109 men with an insomnia diagnosis were identified. Of these men, 356 575 were also medically treated for insomnia. The mean (±standard deviation) follow-up times for patients diagnosed with insomnia and those diagnosed with and treated for insomnia were 2.8 ± 1.6 and 3.1 ± 1.8 yr, respectively. Men with insomnia were more commonly smokers and had a higher number of office visits and comorbidities than controls (p < 0.001). On an adjusted analysis, both untreated and treated insomnia were associated with increased risks of ED diagnosis (hazard ratio or HR [95% confidence interval {CI}]: 1.58 [1.54-1.62] and 1.66 [1.64-1.69], respectively; p < 0.001). Similarly, men with treated insomnia had a higher risk of having ED treated with PDE5i (HR [95% CI]: 1.52 [1.49-1.55]; p < 0.001) and ICI (HR [95% CI]: 1.32 [1.14-1.54]; p < 0.001) when compared with controls. A limitation of this study was that a lack of granularity regarding patient clinical characteristics (eg, severity of disease, laboratory data, etc.) is inherent to insurance claims data. In addition, the follow-up was limited and may affect associations at longer time points.

CONCLUSIONS

In the current report, a consistent association between insomnia and ED diagnosis was identified. Men diagnosed with insomnia only were found to have a higher risk of developing ED. Moreover, men with pharmacological insomnia treatments were more often prescribed treatments for ED. Given the prevalence of insomnia, future studies are warranted to delineate the association of insomnia and its treatment with erectile function.

PATIENT SUMMARY

Insomnia affects up to one-third of adults and impact male erectile function. Men only diagnosed with insomnia were found to have a higher risk of developing erectile dysfunction (ED). Moreover, men with pharmacological insomnia treatments were more often prescribed treatments for ED.

Effects of aerobic exercise on ambulatory blood pressure responses to acute partial sleep deprivation: impact of chronotype and sleep quality

Blood pressure (BP) follows a circadian rhythm intertwined with the sleep-wake cycle. Acute partial sleep deprivation (PSD; sleep ≤ 6 h) can increase BP, associated with increased cardiovascular risk. Acute exercise can reduce BP for up to 24 h, a phenomenon termed postexercise hypotension. The present study tested whether aerobic exercise could mitigate the augmented 24-h ambulatory BP caused by acute PSD. Twenty-four young otherwise healthy adults (22 ± 3 yr; 14 females; self-reported chronotypes: 6 early/10 intermediate/8 late; Pittsburgh sleep quality index: 17 good/7 poor sleepers) completed a randomized crossover trial in which, on different days, they slept normally (2300-0700), restricted sleep [0330-0700 (PSD)], and cycled for 50 min (70-80% predicted heart rate maximum) before PSD. Ambulatory BP was assessed every 30 min until 2100 the next day. Acute PSD increased 24-h systolic BP (control 117 ± 9 mmHg, PSD 122 ± 9 mmHg; P < 0.001) and prior exercise attenuated (exercise + PSD 120 ± 9 mmHg; P = 0.04 vs. PSD) but did not fully reverse this response (exercise + PSD, P = 0.02 vs. control). Subgroup analysis revealed that the 24-h systolic BP reduction following exercise was specific to late types (PSD 119 ± 7 vs. exercise + PSD 116 ± 6 mmHg; P < 0.05). Overall, habitual sleep quality was negatively correlated with the change in daytime systolic BP following PSD (r = -0.56, P < 0.01). These findings suggest that the ability of aerobic cycling exercise to counteract the hemodynamic effects of acute PSD in young adults may be dependent on chronotype and that habitual sleep quality can predict the daytime BP response to acute PSD.NEW & NOTEWORTHY We demonstrate that cycling exercise attenuates, but does not fully reverse, the augmented 24-h ambulatory blood pressure (BP) response caused by acute partial sleep deprivation (PSD). This response was primarily observed in late chronotypes. Furthermore, daytime BP after acute PSD is related to habitual sleep quality, with better sleepers being more prone to BP elevations. This suggests that habitual sleeping habits can influence BP responses to acute PSD and their interactions with prior cycling exercise.

Energy drinks: effects on pediatric 24-h ambulatory blood pressure monitoring. A randomized trial

BACKGROUND

Energy drinks (EDs) are popular beverages among minors. To date, clinical studies investigating ED-induced effects on the pediatric cardiovascular system are sparse. This study aimed to investigate the effects of a single, bodyweight-adjusted ED dosage on 24-h ambulatory blood pressure monitoring (ABPM) in healthy children and adolescents.

METHODS

This study was a randomized, single-blind, placebo-controlled, crossover clinical trial. Study participants received a single, bodyweight-adjusted ED amount or a placebo drink on 2 consecutive days at similar morning hours. Twenty-four-hour ABPM was assessed via an automated oscillometric blood pressure device after beverage consumption on both study days.

RESULTS

A total of 17 healthy children and teenagers (13.90 (12.29-17.89) years) were included in the final analysis. The ED consumption led, compared to the placebo intake, to a significantly higher 24-h systolic (115.90 (110.22-118.04) vs. 110.64 (108.09-115.45) mmHg, p = 0.013) and diastolic blood pressure (66.08 (64.20-68.32) vs. 62.63 (61.40-66.46) mmHg, p = 0.005).

CONCLUSIONS

The single, bodyweight-adjusted ED consumption is linked with a significantly higher systolic as well as diastolic 24-h blood pressure in healthy children and adolescents. Minors, particularly those with an increased cardiovascular morbidity, should be discouraged from drinking EDs.

IMPACT

Energy drinks (EDs) are consumed by many children and teenagers. While adverse cardiovascular events after ED consumption were reported in the literature, the effects of these beverages on the pediatric 24-h blood pressure profile have not been systematically evaluated yet. In our manuscript, we demonstrate for the first time that acute ED consumption is associated with a significantly higher 24-h systolic blood pressure and diastolic blood pressure in healthy minors.

Association Between Sleep Duration and Stroke in Different Status of Metabolic Syndrome: A Cross-Sectional Study in Shanghai Adult Residents

Purpose

This study aimed to investigate the relationship between sleep duration (SD) and stroke, and examine the effects of SD on stroke with or without metabolic syndrome (Mets) and its components among the adult residents in Shanghai, China.

Participants and Methods

A total of 20,245 participants (51.72% male, mean age 44.66 years) were included from Shanghai Chronic Disease and Risk Factors Surveillance (SCDRFS) in 2017. The weighted logistic regressions were performed to examine the associations between SD and stroke in different status of Mets and its components.

Results

The mean SD was 7.51±0.03 h/d. After adjusting for all the potential factors, SD<6 h/d (OR=1.73, 95% CI: 1.35-2.20) or ≥10 h/d (OR=1.66, 95% CI: 1.08-2.57) was significantly positively associated with stoke in the total participants; moreover, in the non-Mets group, only SD<6 h/d (OR=1.77, 95% CI: 1.19, 2.64) significantly increased the risk of stroke; while, in the Mets group, SD<6 h/d (OR=1.80, 95% CI:1.17-2.76) and ≥10 h/d (OR=1.97, 95% CI: 1.00-3.88) both had a positive significantly association with stoke. In addition, the effects of SD<6 h/d on stroke were more pronounced among those with high WC (OR=2.24, 95% CI: 1.40-3.58) and high TG (OR=2.60, 95% CI: 1.86-3.62), and the effects of SD≥10 h/d on stroke were more evident among those with high TG (OR=2.28, 95% CI: 1.02-5.08) and high FBG (OR=2.58, 95% CI: 1.30-5.10).

Conclusion

Both short and long SD were significantly positively associated with stroke in the total participants, and the associations were stronger in the Mets group; conversely, in the non-Mets group, only short SD was significantly positively associated with stroke, and no significant association was observed between long SD and stroke. Therefore, more precise sleep measures may be needed to prevent stroke according to the different status of Mets.

Short sleep duration and atrial fibrillation risk: A comprehensive analysis of observational cohort studies and genetic study

BACKGROUND

Previous observational studies are inconclusive on whether an association exists between short sleep duration and the high risk of developing atrial fibrillation (AF). Understanding their potential association would be of great clinical significance. Thus, in this study, we aimed to explore their causal relationship.

METHODS AND RESULTS

We meta-analyzed the association between short sleep duration and the risk of developing AF by including six observational studies. Based on genetic susceptibility analysis using the mendelian randomization (MR) method, we identified 16 genetic loci that might link short sleep duration and the high risk of developing AF. Meta-analysis showed a significant association between short sleep duration and a higher risk of developing AF (RR = 1.06, 95% CI 1.02-1.11, P = 0.005). However, the fixed-effect and random-effect inverse variance weighted (IVW) models using the MR method showed a non-obvious effect of short sleep duration on the risk of developing AF (OR, 0.979; 95% CI, 0.880-1.089, P = 0.693; OR, 0.979; 95% CI, 0.857-1.117, P = 0.750, respectively). Other models, also showed no statistical difference. No heterogeneity or asymmetry was observed, as Cochran's Q test showed. The leave-one-out sensitivity analysis demonstrated good robust results, which were not subject to directional pleiotropy.

CONCLUSION

Meta-analysis and MR analysis demonstrated inconsistent results on the relationship between short sleep duration and a high risk of developing AF. Specifically, while meta-analysis confirmed that short sleep duration increases the risk of developing AF, MR analysis did not support a causal association between genetically determined short sleep and risk of AF.

Effects of heart rate variability biofeedback (HRVBFB) on sleep quality and depression among methamphetamine users

Methamphetamine is garnering concern due to its increasing use worldwide. Depression and sleep quality are major mental health issues in substance users. Heart rate variability biofeedback (HRVBFB) has shown promising results in terms of reducing depression and increasing sleep quality. The present study aimed to explore the effects of HRVBFB on these two issues in methamphetamine users. Sixty-one methamphetamine users were enrolled and allocated randomly into a treatment as usual (TAU) group and a HRVBFB plus TAU group. The levels of depressive symptoms and sleep quality were assessed at intake, end of the intervention, and end of follow-up. Compared with baseline, the levels of depressive symptoms and poor sleep quality were decreased at the end of the intervention and follow-up in the HRVBFB group. The HRVBFB group exhibited a greater decrease in depressive symptoms and a better improvement in sleep quality than the TAU group. The associations of HRV indices with levels of depressive symptoms and poor sleep quality were different in the two groups. Our results showed that HRVBFB is a promising intervention for reducing depressive symptoms and improving sleep quality in methamphetamine users. The benefits with respect to depressive symptoms and poor sleep quality can extend beyond the end of HRVBFB intervention.

The stress of losing sleep: Sex-specific neurobiological outcomes

Sleep is a vital and evolutionarily conserved process, critical to daily functioning and homeostatic balance. Losing sleep is inherently stressful and leads to numerous detrimental physiological outcomes. Despite sleep disturbances affecting everyone, women and female rodents are often excluded or underrepresented in clinical and pre-clinical studies. Advancing our understanding of the role of biological sex in the responses to sleep loss stands to greatly improve our ability to understand and treat health consequences of insufficient sleep. As such, this review discusses sex differences in response to sleep deprivation, with a focus on the sympathetic nervous system stress response and activation of the hypothalamic-pituitary-adrenal (HPA) axis. We review sex differences in several stress-related consequences of sleep loss, including inflammation, learning and memory deficits, and mood related changes. Focusing on women's health, we discuss the effects of sleep deprivation during the peripartum period. In closing, we present neurobiological mechanisms, including the contribution of sex hormones, orexins, circadian timing systems, and astrocytic neuromodulation, that may underlie potential sex differences in sleep deprivation responses.

Sleep traits and risk of end-stage renal disease: a mendelian randomization study

BACKGROUND

Epidemiological evidence relating sleep disorders to end-stage renal disease (ESRD) has been obscure. The present study is sought to examine the association between sleep traits and ESRD.

METHODS

For this analysis, we selected genetic instruments for sleep traits from published genome-wide association studies (GWAS). As instrumental variables, independent genetic variations linked with seven sleep-related features (sleep duration, getting up in the morning, daytime napping, chronotype of morning/evening person, sleeplessness/insomnia, non-snoring, and daytime dozing) were chosen. A two-sample Mendelian randomization (TSMR) study was conducted to assess the causal relationship between sleep traits and ESRD (N = 33,061). The reverse MR analysis subsequently determined the causal relationship between ESRD and sleep traits. The causal effects were estimated using inverse variance weighted, MR-Egger, weighted median. To conduct sensitivity studies, Cochran's Q test, MR-Egger intercept test, MR-PRESSO, leave-one-out analysis, and funnel plot were used. To study the potential mediators, multivariable mendelian randomization analyses were undertaken further.

RESULTS

Genetically predicted sleeplessness/ insomnia (OR = 6.11, 95%CI 1.00-37.3, P = 0.049, FDR = 0.105), getting up in the morning easily(OR = 0.23, 95%CI 0.063-0.85; P = 0.0278, FDR = 0.105), non-snoring (OR = 4.76E-02, 95%CI 2.29E-03-0.985, P = 0.0488, FDR = 0.105) was suggestively associated with the risk of ESRD. However, we found no evidence favoring a causal association between other sleep traits and ESRD through the IVW method.

CONCLUSION

The present TSMR found no strong evidence of a bidirectional causal association between genetically predicted sleep traits and ESRD.

Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Based on the Internet New Media

BACKGROUND

COVID-19 has been reported to affect the sleep quality of Chinese residents; however, the epidemic's effects on the sleep quality of college students during closed-loop management remain unclear, and a screening tool is lacking.

OBJECTIVE

This study aimed to understand the sleep quality of college students in Fujian Province during the epidemic and determine sensitive variables, in order to develop an efficient prediction model for the early screening of sleep problems in college students.

METHODS

From April 5 to 16, 2022, a cross-sectional internet-based survey was conducted. The Pittsburgh Sleep Quality Index (PSQI) scale, a self-designed general data questionnaire, and the sleep quality influencing factor questionnaire were used to understand the sleep quality of respondents in the previous month. A chi-square test and a multivariate unconditioned logistic regression analysis were performed, and influencing factors obtained were applied to develop prediction models. The data were divided into a training-testing set (n=14,451, 70%) and an independent validation set (n=6194, 30%) by stratified sampling. Four models using logistic regression, an artificial neural network, random forest, and naïve Bayes were developed and validated.

RESULTS

In total, 20,645 subjects were included in this survey, with a mean global PSQI score of 6.02 (SD 3.112). The sleep disturbance rate was 28.9% (n=5972, defined as a global PSQI score >7 points). A total of 11 variables related to sleep quality were taken as parameters of the prediction models, including age, gender, residence, specialty, respiratory history, coffee consumption, stay up, long hours on the internet, sudden changes, fears of infection, and impatient closed-loop management. Among the generated models, the artificial neural network model proved to be the best, with an area under curve, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of 0.713, 73.52%, 25.51%, 92.58%, 57.71%, and 75.79%, respectively. It is noteworthy that the logistic regression, random forest, and naive Bayes models achieved high specificities of 94.41%, 94.77%, and 86.40%, respectively.

CONCLUSIONS

The COVID-19 containment measures affected the sleep quality of college students on multiple levels, indicating that it is desiderate to provide targeted university management and social support. The artificial neural network model has presented excellent predictive efficiency and is favorable for implementing measures earlier in order to improve present conditions.

Racial/Ethnic and Sex/Gender Differences in Sleep Duration Trajectories From Adolescence to Adulthood in a US National Sample

Racial/ethnic and sex/gender disparities in sleep duration have been documented in adolescence and adulthood. Identifying racial/ethnic and sex/gender differences in sleep duration trajectories from adolescence to adulthood can inform interventions on the developmental periods individuals are most at risk for short sleep duration. We examined racial/ethnic and sex/gender differences in self-reported sleep duration trajectories from adolescence to adulthood using data from waves I, III, IV, and V of the National Longitudinal Study of Adolescent to Adult Health (1994-2018; n = 12,593). Multigroup growth mixture modeling was used to enumerate sleep duration trajectories from adolescence to adulthood. There were 3 common trajectory types across race/ethnicity and sex/gender groups: 1) consistent increasing short sleepers (i.e., increasing probability of short sleep into adulthood) (67.3%); 2) late-onset short sleepers (i.e., no probability of short sleep duration in adolescence until adulthood) (20.2%); and 3) early-onset short sleepers (i.e., declining probability of short sleep duration from adolescence into adulthood) (12.5%). The prevalence of the consistent-increasing trajectory was highest among Black male respondents, while late onset was highest among White female respondents and early onset greatest among Latinx male respondents. Findings underscore the need to intervene in early adolescence to prevent short sleep duration in adulthood.

Sleep Loss Influences the Interconnected Brain-Body Regulation of Cardiovascular Function in Humans

OBJECTIVE

Poor sleep is associated with hypertension, a major risk factor for cardiovascular disease. However, the mechanism(s) through which sleep loss affects cardiovascular health remains largely unknown, including the brain and body systems that regulate vascular function.

METHODS

Sixty-six healthy adults participated in a repeated-measures, crossover, experimental study involving assessments of cardiovascular function and brain connectivity after a night of sleep and a night of sleep deprivation.

RESULTS

First, sleep deprivation significantly increased blood pressure-both systolic and diastolic. Interestingly, this change was independent of any increase in heart rate, inferring a vasculature-specific rather than direct cardiac pathway. Second, sleep loss compromised functional brain connectivity within the vascular control network, specifically the insula, anterior cingulate, amygdala, and ventral and medial prefrontal cortices. Third, sleep loss-related changes in brain connectivity and vascular tone were not independent, but significantly interdependent, with changes within the vascular control brain network predicting the sleep-loss shift toward hypertension.

CONCLUSIONS

These findings establish an embodied framework in which sleep loss confers increased risk of cardiovascular disease through an impact upon central brain control of vascular tone, rather than a direct impact on accelerated heart rate itself.

Sleep Deprivation Is Associated With Increased Risk for Hypertensive Heart Disease: A Nationwide Population-Based Cohort Study

BACKGROUND

Literature documenting the in-hospital cardiovascular outcomes of sleep deprivation (SD) patients is scarce. We aimed to compare inpatient cardiovascular outcomes in patients with sleep deprivation and those without sleep deprivation.

METHOD

We queried the National Inpatient Sample (NIS) database from 2016 to 2019 to conduct a retrospective observational study. Using the International Classification of Diseases, Tenth Revision (ICD-10) codes, we identified patients with sleep deprivation (SD) diagnosis and compared them to their counterparts without sleep deprivation (NSD). The cardiovascular outcomes of interest were hypertensive heart disease (HHD), atrial fibrillation (AF), and ST-segment and non-ST-segment elevation myocardial infarction (STEMI and NSTEMI, respectively). We used multivariable regression analysis to unearth the relationship between sleep deprivation and cardiovascular disease.

RESULTS

There were 28,484,087 patients admitted during the study period, among which 2.1% (6,08,059) with a mean age of 59 (sd=19) years had a sleep deprivation diagnosis unrelated to medical or psychiatric illness. Of these, 75.7% were Caucasians, 11.5% were Blacks, and 8% were Hispanics. Individuals with sleep deprivation had a higher odds ratio (OR) of HHD, i.e., OR=1.3 (1.29-1.31), p<0.0001. The odds of heart failure with reduced ejection fraction (HFrEF) was 0.9 (0.9-1.92), p=0.45; heart failure with preserved ejection fraction (HFpEF) was 0.98 (0.97-1.01), p=0.31; and the odds of the SD population for AF was 0.9 (0.89-1.03), p=0.11.

CONCLUSION

Sleep deprivation seems to be more prevalent in the Caucasian population. Individuals with sleep deprivation have a higher risk of hypertensive heart disease but similar outcomes to the general population in terms of AF, HFrEF, and HFpEF.

The association between bedtime at night and hypertension in adults

OBJECTIVE

This research was conducted to explore the association between bedtime at night and the prevalence of hypertension in adults.

METHODS

We conducted a cross-sectional study of 14,536 participants with data from the NHANES database. Bedtime was determined from the question in the sleep questionnaire: 'What time do you usually fall asleep on weekdays or workdays?.' Hypertension was defined as systolic blood pressure (SBP) ≥ 140 mmHg, or diastolic blood pressure (DBP) ≥ 90 mmHg, or having been told by a doctor to have high blood pressure, or taking antihypertensive medication. We conducted a weighted multiple logistic regression analysis to explore the relationship between bedtime at night and the prevalence of hypertension in adults.

RESULTS

The association between bedtime and hypertension showed a significantly U-shaped relationship. People who went to bed at 23:00 had the lowest risk of developing hypertension (OR, 0.68 [95%CI, 0.58, 0.81]). This U-shaped association still existed in different genders. In males (n = 7159), the adjusted OR was still lowest at 23:00. However, the adjusted OR was lowest at 0:00 in females(n = 7377). The interaction effect between bedtime and gender was significant (P = 0.0187).

CONCLUSION

With the delay in bedtime, the association between bedtime and hypertension showed a significantly U-shaped relationship. Falling asleep at 23:00 has the lowest risk of developing hypertension.

Associations between common sleep disturbances and cardiovascular risk in patients with obstructive sleep apnea: A large-scale cross-sectional study

Objectives

Studies have shown that obstructive sleep apnea (OSA) is inextricably linked with cardiovascular diseases (CVD). However, the roles of certain common sleep disturbances, such as low slow-wave sleep, excessive daytime sleepiness and short sleep duration, in the pathogenesis and progression of CVD in patients with OSA have not been determined. Therefore, we conducted a large cross-sectional study to explore the effect of low slow-wave sleep, excessive daytime sleepiness and short sleep duration on the risk of CVD in patients with OSA.

Methods

Subjects were consecutively enrolled to participate in the sleep center of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital. All OSA patients were diagnosed by standard polysomnography, while controls were all simple snorers. A total of 4,475 participants were strictly recruited. The Framingham Risk Score were employed to assess the 10-year risk of CVD, and logistic regression was used to measure the association between sleep disturbances and the moderate-to-high CVD risk.

Results

In the whole cohort, OSA, excessive daytime sleepiness, and low slow-wave sleep were all risk factors for the moderate-to-high 10-year CVD risk (odds ratio [OR] = 3.012, 95% confidence interval [CI] 2.418–3.751; OR = 1.407, 95% CI: 1.228–1.613, and OR = 0.973,95% CI: 0.967–0.980), but sleep duration did not contribute significantly to that risk. Whether in patients with OSA and controls, low SWS (<12.8%) could increase the risk of CVD. Subjective excessive daytime sleepiness would significantly increase the risk of CVD only in patients with severe OSA.

Conclusion

It is important to pay more attention to the impact of sleep on cardiovascular health. Patients with sleep disturbances should adopt a healthy lifestyle and undergo regular follow-up of cardiovascular indicators to prevent cardiovascular complications.

Trial registration

[http://www.chictr.org.cn/showproj.aspx?proj=43057], identifier [ChiCTr1900025714].

High burden of hypertension amongst adult population in rural districts of Northwest Ethiopia: A call for community based intervention

BACKGROUND

Hypertension is a serious public health issue in Ethiopia, but there is a paucity of evidence in the country's rural areas. The aim of this study was to determine the prevalence of hypertension and its risk factors among adults in rural districts in northwest Ethiopia.

METHODS

A community-based cross-sectional study was conducted from June to October 2020. The 1177 study participants were chosen using a multistage sampling procedure. A face-to-face interview was conducted using an adapted version of the WHO STEPwise approach questionnaire. Blood pressure was measured three times using an aneroid sphygmomanometer, and the mean of the last two readings were used for the analysis. Data was entered using Epidata and analyzed using STATA-16. Multivariable logistic regression was used to identify risk factors associated with hypertension.

RESULTS

Of the total participants, 218 (18.5%) were found to be hypertensive. The prevalence of hypertension consistently increases with age. Hypertension was positively and significantly associated with female sex ((adjusted odd ratio (AOR) = 2.30, 95% CI: 1.53, 3.45)), age group 45-54 years (AOR = 4.63, 95% CI: 1.01, 21.37), 55-64 years (AOR = 14.40, 95% CI: 3.07, 67.63), ≥65 years (AOR = 19.37, 95% CI: 4.03, 93.09), having history of alcohol consumption (AOR = 3.25, 95% CI: 1.17, 9.02), used much amount of salt (AOR = 2.37, 95% CI: 1.53, 3.60) and too much amount of salt (AOR = 3.78, 95% CI: 1.85, 7.72), sleeping for a short duration (AOR = 2.05, 95%CI: 1.30, 3.24), and having family history of hypertension (AOR = 2.12, 95% CI; 1.32, 3.39).

CONCLUSIONS

Hypertension was significantly high among the rural population we studied and is emerging as a public health problem. Female sex, advanced age, ever used alcohol, excessive salt intake, insufficient sleep, and a family history of hypertension were factors that were positively and significantly associated with hypertension. We recommend local health authorities integrate promotion of hypertension health education, lifestyle modification intervention on salt and alcohol reduction, and hypertension detection, particularly for the female and elderly population, at the health post level to avert the problem.

A Review of Equine Sleep: Implications for Equine Welfare

Sleep is a significant biological requirement for all living mammals due to its restorative properties and its cognitive role in memory consolidation. Sleep is ubiquitous amongst all mammals but sleep profiles differ between species dependent upon a range of biological and environmental factors. Given the functional importance of sleep, it is important to understand these differences in order to ensure good physical and psychological wellbeing for domesticated animals. This review focuses specifically on the domestic horse and aims to consolidate current information on equine sleep, in relation to other species, in order to (a) identify both quantitatively and qualitatively what constitutes normal sleep in the horse, (b) identify optimal methods to measure equine sleep (logistically and in terms of accuracy), (c) determine whether changes in equine sleep quantity and quality reflect changes in the animal's welfare, and (d) recognize the primary factors that affect the quantity and quality of equine sleep. The review then discusses gaps in current knowledge and uses this information to identify and set the direction of future equine sleep research with the ultimate aim of improving equine performance and welfare. The conclusions from this review are also contextualized within the current discussions around the “social license” of horse use from a welfare perspective.

Sleep duration irregularity is associated with elevated blood pressure in young adults

Sleep irregularity (i.e., highly variable sleep patterns) is an emerging risk factor for cardiometabolic disease. Though irregular sleep patterns are common among young adults, the cardiometabolic health (CMH) repercussions of sleep irregularity in this population are unclear. We examined associations between sleep duration and irregularity with measures of CMH in 44 (24 M/20 F, 23 ± 5y, BMI 26 ± 4 kg/m², blood pressure (BP): 125/71 ± 14/9 mmHg) young adults. Participants wore actigraphy monitors for seven-days and sleep duration irregularity was operationalized as the standard deviation of nightly sleep duration (sleep SD). CMH variables of interest included brachial and aortic BP, arterial stiffness (cf-PWV), augmentation index (AIx75), and fasting blood glucose and lipids. Associations between sleep duration and sleep SD with CMH variables were assessed via correlations adjusted for sex and BMI. Sleep duration generally was not associated with CMH indices. However, sleep SD was associated with brachial systolic (r = 0.433, p = .027) and diastolic BP (r = 0.415, p = .035). Similarly, sleep duration SD was associated with aortic systolic BP (r = 0.447, p = .022). Our findings show that sleep irregularity, but not duration, is associated with higher brachial and central BP in young adults.Abbreviations: AIx75: augmentation index at a heart rate of 75 beats per minute; BP: blood pressure; CMH: cardiometabolic health; cf-PWV: carotid-femoral pulse wave velocity; DXA: dual x-ray absorptiometry; mg/dl: milligrams per deciliter; PWA: pulse wave analysis; PWV: pulse wave velocity; sleep duration SD: standard deviation of nightly sleep duration.

Sex Modified the Association between Sleep Duration and worse Cognitive Performance in Chinese Hypertensive Population: Insight from the China H-Type Hypertension Registry Study

Objectives

Cognitive decline could be seen as the sign of preclinical phase of dementia, which was found to be sex differentiated. Previous studies had discovered that there might be some link between abnormal sleep duration and cognitive performance. Additionally, hypertension was found to be one of the important risk factors for cognitive decline and abnormal sleep duration was also a significant risk factor for hypertension. Therefore, the purpose of this study was to investigate sex differences in the association of sleep duration with cognitive performance and to further explore potential effect modifiers that may exist.

Methods

Data analyzed in this study was from the China H-type Hypertension Registry Study. Sleep duration was assessed with a sleep questionnaire and categorized as <5 hours, 5-8 hours, and ≥8 hours. Cognitive performance was evaluated with the Mini-Mental State Examination (MMSE).

Result

A total of 9527 subjects were included. The average age was 63.7 ± 9.8 years. Linear regression analyses showed that the association between long sleep duration (≥8 h) and MMSE score adjusting for pertinent covariables was stronger in female (β = −0.95, 95% CI: -1.23 to -0.68, P < 0.001) than in male (β = −0.29, 95% CI: -0.53 to -0.06, P = 0.013). Furthermore, there was a significant interaction between sleep duration and age on cognitive performance only in female.

Conclusion

In summary, this study found that long sleep duration (≥8 h) was associated with poorer cognitive performance. Furthermore, this association was more pronounced in female than in male, especially in older female.

The Association Between Habitual Sleep Duration and Blood Pressure Control in United States (US) Adults with Hypertension

Purpose

This study examined the relationship between habitual sleep duration and blood pressure (BP) control in adults with hypertension.

Methods

This cross-sectional study used data of 5163 adults with hypertension obtained from the 2015–2018 National Health and Nutrition Examination Survey (NHANES). Multivariable logistic regression was used to analyze the association between habitual sleep duration and BP control. Habitual sleep duration was self-reported and defined as the amount of sleep usually obtained in a night or main sleep period during weekdays or workdays. It was categorized as <6, 6 - <7, 7–9, and >9 hours. BP control was defined as average systolic BP <130mmHg and diastolic BP <80mmHg.

Results

Results from the fully adjusted models show that among all adults with hypertension, habitual sleep duration of <6 hours night/main sleep period was associated with reduced odds of BP control (OR = 0.53, 95% CI: 0ss.37–0.76, P = 0.001) when compared to 7–9 hours. In the subpopulation of adults who were on antihypertensive medication, those with a sleep duration of <6 hours had lower odds of BP control than those with a sleep duration of 7–9 hours (OR = 0.53, 95% CI: 0.36–0.77, P = 0.002). No significant differences were noted in all adults with hypertension and in the subpopulation of those on antihypertensive medication in BP control between the reference sleep duration group (7–9 hours) and the 6 - <7 or >9 hours groups. There were no significant differences across age groups or gender in the relationship between habitual sleep duration and BP control.

Conclusion

Sleep duration of <6 hours is associated with reduced odds of hypertension control. These significant findings indicate that interventions to support adequate habitual sleep duration may be a promising addition to the current hypertension management guidelines.

OUP accepted manuscript

Background

Evidence linking chronic kidney disease (CKD) and sleep duration is inconsistent. This study examined whether sleep duration is associated with a long-term risk of kidney function decline.

Methods

This retrospective, longitudinal cohort study included 82 001 participants who visited a primary care centre in Japan. Participants were categorized into CKD risk groups and sleep duration categories according to their self-reported average nightly sleep duration. The relationship between average nightly sleep duration and the incidence of composite renal outcome comprised a ≥40% reduction in estimated glomerular filtration rate (eGFR) from baseline and a decline in eGFR to <15 mL/min/1.73 m² was evaluated.

Results

The mean age and eGFR (±standard deviation) of the patient cohort were 45.8 (±12.4) years and 81.8 (±15.4) mL/min/1.73 m², respectively. A total of 41 891 participants (51.1%) were women. During the median follow-up of 5.1 years [interquartile range 2.2–9.6], 4214 (5.1%) participants achieved the composite renal outcome. Only the long and very long sleep durations (≥8 h/night) were associated with an increased incidence of the composite renal outcome compared with the reference duration (7 h/night) [adjusted odds ratio (OR) 1.22 and 1.44; 95% confidence interval (CI) 1.09–1.36 and 1.13–1.84, for long and very long sleep durations, respectively]. Furthermore, this association was significant for both long and very long sleep durations in the low CKD risk group but only for long sleep duration in the intermediate CKD risk group. The results of the sex-specific analysis showed that men had a decreased risk of achieving the composite renal outcome (OR 0.91; 95% CI 0.79–1.06), while there was an increased risk for women (OR 1.14; 95% CI 1.02–1.28).

Conclusions

Average sleep durations ≥8 h/night were associated with an increased incidence of poor renal outcomes over time. However, a longitudinal cohort study is required to confirm whether sleep duration can prevent poor renal outcomes.

Obstructive Sleep Apnoea, Other Sleep Parameters and Diabetic Retinopathy

PURPOSE OF REVIEW

To summarise the association between obstructive sleep apnoea and diabetic retinopathy and diabetic macular oedema. To examine the effects of other sleep parameters on diabetic retinopathy and diabetic macular oedema. To discuss the pathophysiology of diabetic eye changes and how it is related to obstructive sleep apnoea.

RECENT FINDINGS

Conflicting data exists in terms of the association of diabetic eye changes with sleep apnoea and/or other sleep parameters. Various cross-sectional studies show PDR to be associated with the prevalence of OSA. Patients who underwent continuous positive airway pressure (CPAP) treatment were significantly less likely to develop pre/proliferative DR. Secondary sleep parameters generally are not associated with DR except for long duration of sleep. Differences in reporting could be due to the different thresholds set to define OSA/ODI and severity of DR/DME, in addition to factors used in multivariate analysis. There is a need for further studies with long-term follow-up and to assess the impact of CPAP on the development and progression of diabetic eye change(s).

Unemployment and sleep: evidence from the United States and Europe

Using data for over 2.5 million individuals in the United States over the period 2006-2019 from the Behavioral Risk Factor Surveillance System (BRFSS) survey series we show the unemployed suffer sleep disruption. The unemployed suffer more short and long sleep than the employed and are more likely to suffer from disturbed sleep. These are especially problematic for the long-term unemployed and for the jobless who say they are unable to work. Similar findings on unemployment and poor sleep quality are found in European data. Increases in the unemployment rate raise the incidence of short sleep and lower sleep durations.

Healthy Sleep Associated With Lower Risk of Hypertension Regardless of Genetic Risk: A Population-Based Cohort Study

Background: Hypertension is a leading contributor to the global burden of disease and to mortality. The combined effects of sleep factors on the risk of hypertension are unclear. We aimed to evaluate the effect of combined sleep factors on the risk of hypertension and to explore whether this association is independent of genetic risk. Methods: This population-based prospective cohort study included 170,378 participants from the UK Biobank study. We conducted a healthy sleep score based on a combination of major five sleep factors and a genetic risk score based on 118 risk variants. Cox proportional hazard regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Results: A total of 170,378 participants were included. Compared to participants with a healthy sleep score of 0-1, those with healthy sleep scores of 2 (HR, 0.90; 95% CI, 0.83-0.98), 3 (HR, 0.81; 95% CI, 0.75-0.88), 4 (HR, 0.74; 95% CI, 0.68-0.81), or 5 (HR, 0.67; 95% CI, 0.59-0.77) had increasingly lower risks of hypertension (P for trend <0.001). Participants with high genetic risk and an unfavorable sleep pattern had a 1.80-fold greater risk of hypertension than participants with low genetic risk and a favorable sleep pattern. The association between sleep patterns and hypertension persisted in subgroup analysis, stratified by the genetic risk. Nearly 18.2% of hypertension events in this cohort could be attributed to unfavorable sleep pattern. Conclusions: Favorable sleep pattern was associated with a low risk of hypertension, regardless of genetic risk. These findings highlight the potential of sleep interventions to reduce risk of hypertension across entire populations.

Poor sleep quality is associated with new-onset hypertension in a diverse young and middle-aged population

BACKGROUND

Sleep disorders have been proposed as the potential risk factors for hypertension, thus we aimed to investigate the association of sleep quality with new-onset hypertension.

METHODS

We evaluated sleep quality using Pittsburgh Sleep Quality Index (PSQI) and it's seven components in normotensive population aged 18 years old and over in Emin Xinjiang, China in 2016 and followed up till 2019 using annual health checkup data. Poor sleep quality was defined as a PSQI score>5, and good sleep quality was defined as a PSQI score⩽5.

RESULTS

Among 9344 analytic sample 57.29% were female. A total of 2958 (31.66%) subjects developed hypertension during 22,960 person-years of follow-up. Poor sleep quality (HR 1.131, 95% CI 1.045, 1.224) showed had higher risk of development hypertension in total population in adjusted Cox models. Fairly bad subjective sleep quality (HR 1.148, 95% CI 1.015, 1.298), habitual sleep efficiency of <65%-75% group (HR 1.174, 95% CI 1.026, 1.344), and mild (HR 1.194, 95% CI 1.098, 1.299) and moderate (HR 1.264, 95% CI 1.080, 1.479) sleep disturbance increased the risk of developing hypertension compared to their counterparts. In age stratification, poor sleep quality (HR 1.100, 95% CI 1.007, 1.202) had higher risk of developing hypertension in the young and middle-aged population after adjusted all covariates.

CONCLUSIONS

Poor sleep quality is associated with higher risk of new-onset hypertension in young and middle-aged population.

Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016

PURPOSE

This research aimed at determining the relationship between self-reported sleep duration during week-/work-days and metabolic syndrome (MetS) from NHANES 2013 to 2016.

METHODS

This study analyzed data from 11,181 people aged 16 or older who took part in the NHANES (National Health and Nutrition Examination Surveys) from 2013 to 2016. A standard questionnaire was used to define self-reported sleep duration, and MetS was defined on the basis of the NCEP (National Cholesterol Education Program)/ATP III revised diagnostic criteria. Logistic regression and restricted cubic splines (RCS) models were used to assess the relationship between self-reported sleep duration and MetS.

RESULTS

The overall prevalence of MetS in the study cohort was 26.1%, with 24.8% for males and 27.3% for females. After adjusting for potential confounding factors, MetS was significantly associated with self-reported short sleep duration (odds ratio = 1.16, 95% confidence interval = 1.03-1.31, P = 0.013) but not with long sleep duration (P = 0.117). RCS regression revealed that self-reported sleep duration was nonlinearly related to MetS (P for nonlinearity = 0.0026). The risk of MetS decreased with increased sleep duration for durations of less than 7 h/day, while there was no association for longer sleep durations.

CONCLUSION

These results suggest that self-reported short sleep duration is a risk factor for MetS, while long sleep duration is not.

A prospective study of multiple sleep dimensions and hypertension risk among white, black and Hispanic/Latina women: findings from the Sister Study

BACKGROUND

Poor sleep is associated with increased hypertension risk, but few studies have evaluated multiple sleep dimensions or investigated racial/ethnic disparities in this association among women.

METHOD

We investigated multiple sleep dimensions (sleep duration, inconsistent weekly sleep patterns, sleep debt, frequent napping and difficulty falling or staying asleep) and hypertension risk among women, and determined modification by age, race/ethnicity and menopausal status. We used data from the Sister Study, a national cohort of 50 884 women who had sisters diagnosed with breast cancer in the United States enrolled in 2003-2009 and followed through September 2018.

RESULTS

Of 33 497 women without diagnosed hypertension at baseline (mean age ± standard deviation: 53.9 ± 8.8 years; 88.7% White, 6.4% Black and 4.9% Hispanic/Latina), 23% (n = 7686) developed hypertension over a median follow-up of 10.1 years [interquartile range: 8.2-11.9 years]. Very short, short or long sleep duration, inconsistent weekly sleep patterns, sleep debt, frequent napping, insomnia, insomnia symptoms as well as short sleep and exploratory cumulative poor sleep score were associated with incident hypertension after adjustment for demographics factors. After additional adjustment for lifestyle and clinical factors, insomnia [hazard ratio = 1.09, 95% confidence interval (95% CI): 1.03-1.15] and insomnia symptoms plus short sleep (hazard ratio = 1.13, 95% CI: 1.05-1.21) remained associated with incident hypertension. These associations were stronger in younger (age<54 vs. ≥54 years) and premenopausal vs. postmenopausal women (all P-interaction < 0.05). Associations did not differ by race/ethnicity (all P-interaction > 0.05).

CONCLUSION

Thus, screening for multiple sleep dimensions and prioritizing younger and premenopausal women may help identify individuals at high risk for hypertension.

Gender Differences in The Factors associated with Hypertension in Non-Diabetic Saudi Adults-A Cross-Sectional Study

The association between lifestyle practices, obesity and increased BP are under-investigated. We aimed to investigate this association to identify the factors associated with hypertension and prehypertension in Saudis. Non-diabetic adults were recruited from public healthcare centers using a cross-sectional design. Recruits were interviewed using a predesigned questionnaire. Weight, height, waist circumference (WC), hip circumference (HC), neck circumference (NC) and BP were measured. The variables were analyzed by comparing the prehypertensive and hypertensive groups with the normotensive group. A total of 1334 adults were included. The study found that 47.2% of men and 24.7% of women were prehypertensive, and 15.1% of men and 14.4% of women were hypertensive. High BMI, WC, NC, and WC: HC ratios were associated with an increased risk of prehypertension and hypertension in men and women. Low physical activity was associated with an increased risk of elevated BP in men, while sleep duration of ≤6 h and sitting for ≥4 h were associated with increased risk in women. Women from central Asia, southeast Asia, and those of mixed origin had a higher prevalence of hypertension compared to those from Arabian tribes. In conclusion, prehypertension and hypertension increase with age and obesity. Gender differences were apparent in the association between several lifestyle practices and prehypertension or hypertension among various ethnic/racial groups.

The association of sleep duration and metabolic syndrome in the Bandare-Kong cohort study, a cross-sectional survey (finding from PERSIAN cohort study)

BACKGROUND

A variety of health problems, such as metabolic syndrome (MetS), have been linked to sleep disorders. While numerous epidemiological studies have shown a U-shaped relationship between sleep duration and poor health outcomes, the results were limited and inconsistent. This study was designed to evaluate the relationship between sleep duration and MetS.

METHODS

This population-based study was conducted on the participants aged 35-70 of Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study, a part of Prospective Epidemiological Research Studies in IrAN (PERSIAN). MetS was diagnosed according to the National Cholesterol Education Program (NCEP) criteria and the Iranian-specific cut-off for waist circumference (≥ 95 cm). Sleep information was extracted through a standard questionnaire based on self-reported information. Data were analyzed by R software using generalized additive models (GAMs). A statistically significant level was considered as P < 0.05.

RESULTS

A total of 3695 participants were included in the analyses. The mean age was 48.05 years (SD 9.36), and 2067 (55.9%) were female. The estimated Prevalence of MetS was 35.9%, and women appeared to be more likely to have MetS than men (P < 0.001). There was a non-linear and linear association between sleep duration and the risk of MetS in women and men, respectively. The lowest risk was observed among those with 7-7.5 h of sleep duration per night.

CONCLUSION

Long sleep duration was associated with increased risk of MetS and higher MetS severity score in both genders, while the short sleep duration increased the risk of Mets as well as MetS severity score just in women. The longitudinal studies would be suggested to assess the relationship between sleep quality and quantity components and MetS.

Sleep duration and metabolic syndrome: An updated systematic review and meta-analysis

We examined the association between self-reported sleep duration and metabolic syndrome (MetS). Data were collected from 36 cross-sectional and 9 longitudinal studies with a total of 164,799 MetS subjects and 430,895 controls. Odds ratios (ORs) for prevalent MetS and risk ratios (RRs) for incident MetS were calculated through meta-analyses of adjusted data from individual studies. Short sleep duration was significantly associated with increased prevalent MetS (OR = 1.11, 95% CI = 1.05-1.18) and incident MetS (RR = 1.28, 95% CI = 1.07-1.53) in cross-sectional and longitudinal studies, respectively. Furthermore, long sleep duration was significantly associated with increased prevalent MetS in cross-sectional studies (OR = 1.14, 95% CI = 1.05-1.23), but not incident MetS (RR = 1.16, 95% CI = 0.95-1.41) in longitudinal studies. Interestingly, the association between long sleep and prevalent MetS was found in sleep duration defined by 24-h sleep (including naps) rather than nighttime sleep. Our findings suggest 1) a "U-shape" relationship between sleep duration and MetS in cross-sectional studies and 2) association between short sleep duration, but not long sleep duration with incident MetS. Future studies should shed light on the underlying mechanisms related to the association between sleep duration and MetS and examine if normalizing sleep duration reduces MetS risk in the general population.

Sleep duration and health outcomes: an umbrella review

PURPOSE

To collect existing evidence on the relationship between sleep duration and health outcomes.

METHODS

A thorough search was conducted in PubMed, Web of Science, Embase, and the Cochrane Database of Systematic Reviews from inception to January, 2021. Meta-analyses of observational and interventional studies were eligible if they examined the associations between sleep duration and human health.

RESULTS

In total, this umbrella review identified 69 meta-analyses with 11 outcomes for cancers and 30 outcomes for non-cancer conditions. Inappropriate sleep durations may significantly elevate the risk for cardiovascular disease (CVD), cognitive decline, coronary heart disease (CHD), depression, falls, frailty, lung cancer, metabolic syndrome (MS), and stroke. Dose-response analysis revealed that a 1-h reduction per 24 hours is associated with an increased risk by 3-11% of all-cause mortality, CHD, osteoporosis, stroke, and T2DM among short sleepers. Conversely, a 1-h increment in long sleepers is associated with a 7-17% higher risk of stroke mortality, CHD, stroke, and T2DM in adults.

CONCLUSION

Inappropriate sleep duration is a risk factor for developing non-cancer conditions. Decreasing and increasing sleep hours towards extreme sleep durations are associated with poor health outcomes.

Actigraphy-derived rest-activity rhythms are associated with nocturnal blood pressure in young women

INTRODUCTION

Misalignment between lifestyle behaviors and endogenous circadian rhythms is associated with elevated nocturnal blood pressure (BP) in experimental studies; however, less is known about free-living (i.e. nonlaboratory) circadian disruption and nocturnal BP. Additionally, sex-specific cardiovascular implications of circadian disruption are unclear.

OBJECTIVE

To examine the associations between rest--activity rhythms (RAR), a field-based estimate of circadian disruption, and nocturnal BP characteristics in male and female young adults.

METHODS

Fifty participants (20 ± 1 years; 20 men/30 women) underwent 24-h ambulatory BP monitoring following 14 days of wrist actigraphy. RAR variables of interdaily stability (day-to-day consistency in RAR), intradaily variability (within-day fragmentation of RAR), and relative amplitude (difference between peak vs. trough activity) were derived from actigraphy. Multivariable regression models of mean nocturnal SBP, DBP, and SBP dipping were generated to test main associations with RAR variables, and sex × RAR interactions. Daytime BP, race, BMI, physical activity, sleep duration, alcohol, caffeine, and sodium intake were considered as covariates.

RESULTS

In the full sample, no main associations between RAR and nocturnal BP characteristics were found. Sex interacted with RAR such that in women, higher interdaily stability (β = -5.39, 95% CI = -10.04 to -0.73, P = 0.024) and relative amplitude (β = -4.78, 95% CI = -9.22 to -0.34, P = 0.036) were both associated with lower nocturnal SBP. Sex-stratified multivariable models of nocturnal BP also revealed associations between interdaily stability and relative amplitude with SBP dipping in women (all P ≤ 0.01). No associations were apparent in men.

CONCLUSION

Consistent and high-amplitude RAR are favorably associated with nocturnal BP characteristics in young female adults.