Poor sleep is responsible for the impaired nocturnal blood pressure dipping in elderly hypertensive: A cross-sectional study of elderly

Sleep and blood pressure variability: A systematic literature review

BACKGROUND

Blood pressure variability (BPV) is a prognostic marker of cardiovascular disease (CVD). Sleep is recognized as a significant risk factor for CVD; however, little is known about the relationship between sleep characteristics and BPV.

OBJECTIVE

In this systematic review, we aimed to (1) describe methods used to measure BPV and sleep and (2) describe the current evidence in the literature on the association between sleep and BPV.

METHODS

A systematic search was conducted using the search terms "sleep" AND ("blood pressure variability" OR "ambulatory blood pressure monitor") in CINAHL, PubMed, Web of Science, and PsycINFO databases.

RESULTS

Twenty-two studies were included in this systematic review. Sleep was measured using various methods, including polysomnography, actigraphy, sleep diaries, and questionnaires, while BPV was measured over various time intervals using different monitoring devices such as a beat-to-beat blood pressure (BP) monitoring device, a 24-h ambulatory BP monitor, or an automatic upper arm BP monitor. The studies demonstrated mixed results on the associations between sleep parameters (sleep quality, architecture, and duration) and increased BPV.

CONCLUSIONS

Although the mechanisms that explain the relationship between sleep and BPV are still unclear, accumulating evidence suggests potential associations between increased BPV with poor sleep quality and longer sleep duration. Given the recent development of sleep and BP monitoring technologies, further research is warranted to assess sleep and BPV under free-living conditions. Such studies will advance our understanding of complex interactions between sleep and CVD risk.

Self-reported sleep characteristics are linked to type 2 diabetes in middle-aged and elderly individuals: a cross-sectional study based on NHANES

OBJECTIVE

This study was aimed to evaluate the link between sleep characteristics and type 2 diabetes of middle-aged and elderly individuals.

METHODS

Twenty thousand four hundred ninety-seven individuals enrolled in National Health and Nutritional Examination Survey (NHANES) form periods of 2005-2008 were included in this study, and 3965 individuals aged 45 years and older with complete data were detected. Variables related to sleep characteristics were analyzed by univariate analysis to identify the risk factors of type 2 diabetes, the logistic regression model was used to test for the tendency across the sections of sleep duration, and the link between sleep duration and risk of type 2 diabetes was manifested as odds ratio (OR) and 95% confidence interval (CI).

RESULTS

Six hundred ninety-four individuals with type 2 diabetes were identified and enrolled in the type 2 diabetes group, while the remaining individuals (n = 3271) were enrolled in the non-type 2 diabetes group. Individuals in the type 2 diabetes group (63.9 ± 10.2) were older than those in the non-type 2 diabetes group (61.2 ± 11.5, P < 0.001). Factors of taking longer time to fall asleep (P < 0.001), sleeping less (≤ 4 h) or more (≥ 9 h) (P < 0.001), having trouble in falling asleep (P = 0.001), frequent snoring (P < 0.001), frequent sleep apnea (P < 0.001), frequent nighttime awakenings (P = 0.004), and frequent excessive daytime sleepiness (P < 0.001) were linked to the risk of type 2 diabetes.

CONCLUSION

Our study revealed that sleep characteristics were closely linked to type 2 diabetes in middle-aged and elderly individuals, and a longer sleep duration might have protective effects against type 2 diabetes, but it should be constrained within 9 h/night.

Toward Precision Medicine: Circadian Rhythm of Blood Pressure and Chronotherapy for Hypertension - 2021 NHLBI Workshop Report

Healthy individuals exhibit blood pressure variation over a 24-hour period with higher blood pressure during wakefulness and lower blood pressure during sleep. Loss or disruption of the blood pressure circadian rhythm has been linked to adverse health outcomes, for example, cardiovascular disease, dementia, and chronic kidney disease. However, the current diagnostic and therapeutic approaches lack sufficient attention to the circadian rhythmicity of blood pressure. Sleep patterns, hormone release, eating habits, digestion, body temperature, renal and cardiovascular function, and other important host functions as well as gut microbiota exhibit circadian rhythms, and influence circadian rhythms of blood pressure. Potential benefits of nonpharmacologic interventions such as meal timing, and pharmacologic chronotherapeutic interventions, such as the bedtime administration of antihypertensive medications, have recently been suggested in some studies. However, the mechanisms underlying circadian rhythm-mediated blood pressure regulation and the efficacy of chronotherapy in hypertension remain unclear. This review summarizes the results of the National Heart, Lung, and Blood Institute workshop convened on October 27 to 29, 2021 to assess knowledge gaps and research opportunities in the study of circadian rhythm of blood pressure and chronotherapy for hypertension.

Epigenetic modifications and fetal programming: Molecular mechanisms to control hypertension inheritance

Cardiovascular diseases (CVD) are the number 1 cause of death in the United States and hypertension is a highly prevalent risk factor for CVD. It is estimated that up to 50 % of the hypertensive trait is genetically inherited while the other 50 % is determined by modifiable factors involving lifestyle, behaviors, and the environment. Interestingly, the hypertensive trait is induced or inhibited by epigenetic modifications modulated by modifiable factors. This review focused on the underlying mechanisms of stress, sleep deprivation, obesity and sedentarism as key players for epigenetic modifications contributing to the development of the hypertensive trait and, on the other hand, how epigenetic modifications induced by physical exercise and healthier habits may contribute to overturn and prevent the inheritance of hypertension trait. Furthermore, adversities during gestation and perinatal life also increase the risk for hypertension and CVD later in life, which can perpetuate the inheritance of the hypertensive trait whereas healthier habits during gestation and lactation may counteract fetal programming to improve the cardiovascular health of the progeny. Therefore, it is promising that a healthier lifestyle causes long-lasting epigenetic modifications and is transmitted to the next generation, strengthening the fight against the inheritance of hypertension.

Sleep quality and associated factors among adult hypertensive patients attending a chronic follow up care clinic in northwest Amhara regional state referral hospitals, Northwest Ethiopia

Introduction

Sleep plays an essential role in every individual’s life since it contributes greatly to their well-being and health. Poor sleep quality is one of the most common consequences of hypertension (HTN), which is a leading public health problem. In Ethiopia, it is the main health concern among hypertension patients. Thus, in the study area, there is limited information regarding the investigation of sleep quality among hypertension patients. Therefore, this study aimed to assess sleep quality and associated factors among adult hypertensive patients attending a chronic follow up care clinic in northwest Amhara regional state referral hospitals, Northwest Ethiopia.

Methods

An institution-based cross-sectional study was conducted among adult HTN patients from March 15/2021 to May 15/2021 in Northwest Amhara Regional State Referral Hospitals. A systematic random sampling method was used to select the study participants. A face-to-face interviewer-administered questionnaire with chart review was used. The Pittsburgh Sleep Quality Index (PSQI) for assessing sleep quality was used in this study. A binary logistic regression was used to see the association between dependent and independent variables. Variables having a p-value < 0.05 with a 95% CI were considered statistically significant in the multivariable logistic regression analysis.

Results

In this study, 563 hypertensive patients were included, with a response rate of 96.9%. The overall prevalence of poor sleep quality was 37.7% (95% CI: 33.4%–41.6%). Female gender (AOR = 2.55, 95% CI: 1.55–4.18), age ≥ 65 years (AOR = 4.07, 95% CI: 2.07–7.97), overweight (BMI) ≥ 25 kg/m2 (AOR = 1.68, 95% CI: 1.06–2.65), WHO stage II hypertension (AOR = 1.78, 95% CI:1.01–3.12), poor physical activity (AOR = 2.39, 95% CI:1.41–4.05), participants who had depression (AOR = 2.03,95% CI:1.24–3.34) and participants who had anxiety (AOR = 1.89, 95% CI: 1.16–3.03) were factors associated with poor sleep quality.

Conclusions

In this study, more than one-third of the study participants had poor sleep quality. Female gender, age ≥ 65 years, overweight (BMI) ≥ 25 kg/m2, stage II hypertension, physical inactivity, depression, and anxiety were all associated with poor sleep quality. Managing depression and anxiety disorders, encouraging physical activity, and providing health education about weight loss are all necessary for HTN patients.

Self-reported sleep-disordered breathing and insomnia in association with hypertension: a community-based study in Eastern China

OBJECTIVE

We aimed to explore the associations of self-reported sleep-disordered breathing (SDB) and insomnia with hypertension based on a community-based survey among adults in Suzhou, Eastern China.

METHODS

The Suzhou Food Consumption and Health Survey was conducted from 2018 to 2019. A multistage random sampling method was used to recruit potential participants. Associations of SDB and insomnia with hypertension were examined by multivariable logistic regression models with adjustment for covariates. In addition, sensitivity analysis was used to reinforce our findings.

RESULTS

A total of 2728 participants were included in the final analysis. SDB (OR, 1.83; 95% CI, 1.44-2.34; P < 0.001) and insomnia (OR, 1.31; 95% CI, 1.04-1.65; P < 0.001) were significantly associated with prevalent hypertension after multivariable adjustments. In the subgroup analysis by age groups and sex, the association between SDB and hypertension persisted in all groups, whereas the association between insomnia and hypertension remained significant in males and different age groups. In addition, SDB was positively correlated with DBP. Notably, participants with comorbid SDB and insomnia had the highest risk for hypertension (OR, 1.95; 95% CI, 1.40-2.72; P < 0.001).

CONCLUSION

Both SDB and insomnia were associated with the prevalence of hypertension among the Chinese adults, whereas the comorbid conditions conveyed the highest risk for hypertension. Our findings provide a new insight for the potential pathogenesis of hypertension and a prevention strategy of hypertension among community adults.