Abstract 14784: Sleep Moderates the Association Between Arterial Stiffness and Blood Pressure Variability

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Xiaoyue Liu ◽  
Guofen Yan ◽  
Linda Bullock ◽  
Debra Barksdale ◽  
Jeongok G Logan
Keyword(s):  
Blood Pressure ◽  
Arterial Stiffness ◽  
Blood Pressure Variability ◽  
Independent Predictor ◽  
Sleep Efficiency ◽  
Poor Sleep ◽  
Study Objective ◽  
Wrist Actigraphy ◽  
The Relationship ◽  
Subclinical Cvd

Introduction: Both arterial stiffness and short-term blood pressure variability (BPV) are important subclinical biomarkers of cardiovascular disease (CVD). Evidence is accumulating that poor sleep is associated with subclinical CVD. The purpose of our study was to investigate how sleep was related to arterial stiffness and BPV. We also explored if sleep changed the association between arterial stiffness and BPV. Methods: In this cross-sectional study, objective sleep characteristics were assessed by a wrist actigraphy over two days. Arterial stiffness was measured by carotid femoral pulse wave velocity (cfPWV). BPV was evaluated using an ambulatory blood pressure monitor over 24 hours and estimated by average real variability. Results: The sample included 87 healthy adults aged between 35 and 64 years. Sleep efficiency was an independent predictor of cfPWV and systolic BPV (SBPV), while wake after sleep onset (WASO) was an independent predictor of cfPWV, only. In addition, cfPWV showed a positive relationship with SBPV, and this relationship was moderated by sleep efficiency and WASO, respectively. The relationship between cfPWV and SBPV became stronger among individuals who had a level of sleep efficiency lower than 84% and who had WASO higher than 67 minutes, respectively. Conclusions: Our study showed that poor sleep not only had a direct link with arterial stiffness and BPV, but also moderated the relationship between these two subclinical CVD biomarkers. These findings implied that improving sleep quality could be a target intervention to promote cardiovascular health in clinical practice.

scholarly journals Body Mass Index and Arterial Stiffness Are Associated With Greater Beat-to-Beat Blood Pressure Variability After Transient Ischemic Attack or Minor Stroke

Stroke ◽  
2021 ◽  
Author(s):  
Alastair J.S. Webb ◽  
Amy Lawson ◽  
Sara Mazzucco ◽  
Linxin Li ◽  
Peter M. Rothwell ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Arterial Stiffness ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Cardiovascular Events ◽  
Blood Pressure Variability ◽  
Pulse Wave ◽  
Ischemic Attack ◽  
The Relationship

Background and Purpose: Blood pressure variability (BPV) from beat to beat is associated with an increased risk of cardiovascular events and enables rapid assessment of BPV, but the underlying causes of elevated BPV are unclear. Methods: In consecutive patients within 4 to 6 weeks of transient ischemic attack or nondisabling stroke (OXVASC [Oxford Vascular Study]), continuous noninvasive blood pressure was measured beat to beat over 5 minutes (Finometer). Arterial stiffness was measured by carotid-femoral pulse wave velocity (Sphygmocor). After automated and manual data cleaning, associations between BPV (residual coefficient of variation), demographic factors, and arterial stiffness were determined for both systolic and diastolic blood pressure, by ANOVA and linear models. Relationships between demographic factors and arterial stiffness were determined by interaction terms and mediation. Results: Among 1013 patients, 54 (5.3%) were in AF, and 51 (5%) had low-quality recordings. In a general linear model including the remaining 908 participants, systolic BPV (SBPV) was most strongly associated with age ( P =0.00003), body mass index (BMI; P =0.003), and arterial stiffness ( P =0.008), with weaker independent associations with current smoking ( P =0.01) and a low diastolic blood pressure ( P =0.046). However, while there was a linear increase in SBPV with BMI in men, in women, SBPV was lowest for a BMI in the normal range but was greater below 20 or above 30 (ANOVA, P =0.012; BMI-sex interaction, P =0.03). Although BMI and pulse wave velocity were partially independent, increased pulse wave velocity mediated ≈32% of the relationship between increased BMI and SBPV ( P <0.001). Conclusions: Vascular aging, manifest as arterial stiffness, was a strong determinant of increased SBPV and partially mediated the effect of increased BMI. However, although high BMI was independently associated with SBPV in both sexes, a low BMI was associated with increased SBPV only in women. SBPV may partially mediate the relationship between BMI and cardiovascular events, while obesity may provide a modifiable target to reduce SBPV and cardiovascular events.

scholarly journals The relationship between ambulatory blood pressure variability and enlarged perivascular spaces: a cross-sectional study

BMJ Open ◽  
2017 ◽  
Vol 7 (8) ◽  
pp. e015719 ◽  
Author(s):  
Shuna Yang ◽  
Wei Qin ◽  
Lei Yang ◽  
Huimin Fan ◽  
Yue Li ◽  
...  
Keyword(s):  
Blood Pressure ◽  
White Matter ◽  
Ambulatory Blood Pressure ◽  
Blood Pressure Variability ◽  
Cross Sectional Study ◽  
Perivascular Spaces ◽  
Spearman Correlation ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Relationship

ObjectivesRecent studies reported that 24-hour ambulatory blood pressure variability (ABPV) was associated with lacunar infarction and white matter hyperintensities (WMH). However, the relationship between ABPV and enlarged perivascular spaces (EPVS) has not been investigated. Thus, our study aimed to investigate whether ABPV is associated with EPVS by 24-hour ambulatory blood pressure monitoring (ABPM).DesignWe conducted this study as a cross-sectional study.SettingsThe study was based on patients who presented for physical examinations in our hospital from May 2013 to June 2016.ParticipantsPatients with both brain MRI scans and 24-hour ABPM were included and patients with acute stroke, a history of severe stroke and some other severe diseases were excluded. A total of 573 Chinese patients were prospectively enrolled in this study.Primary and secondary outcome measuresEPVS in basal ganglia (BG) and white matter (WM) were identified on MRI and classified into three categories by the severity. WMH were scored by the Fazekas scale. Coefficient of variation (CV) and SD were considered as metrics of ABPV. Spearman correlation analysis and ordinal logistic regression analysis were used to assess the relationship between ABPV and EPVS.ResultsThere were statistical differences among the subgroups stratified by the severity of EPVS in BG in the following ABPV metrics: SD and CV of systolic blood pressure (SBP), CV of diastolic blood pressure (DBP) in 24 hours, daytime and nighttime and SD of DBP in nighttime. The above ABPV metrics were positively associated with the degree of EPVS. The association was unchanged after adjusting for confounders. Spearman correlation analysis showed ABPV was not related to the degree of EPVS in the WM.ConclusionABPV was independently associated with EPVS in BG after controlling for blood pressure, but not in the WM. Pathogenesis of EPVS in BG and WM might be different.

scholarly journals 0407 Sleep, Stress, Cardiovascular, and Psychological Health in College Students

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A156-A156
Author(s):  
A M Reynolds ◽  
K M Mullins
Keyword(s):  
College Students ◽  
Blood Pressure ◽  
Heart Rate ◽  
Psychological Health ◽  
Psychological Factors ◽  
Cardiovascular Health ◽  
Sleep Efficiency ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Stress Symptoms

Abstract Introduction Epidemiological studies have long established that sleep factors, stress, and cardiovascular health are related. College students often struggle with the demands of college life, which leads to increased stress, symptoms of depression and anxiety, and poor sleep. The focus of the current study was to examine habitual sleep habits in college students, in association with psychological factors and physiological factors. Methods Participants included 51 undergraduate students (18 men, average age M=20.25 years, SD=1.78) who wore wrist actigraphs to measure their typical sleep habits. After one week, participants completed questionnaires about psychological symptoms (i.e., depression, anxiety, and stress; Depression Anxiety Stress Scale, DASS-21) and subjective physiological symptoms (i.e., fatigue; Multidimensional Assessment of Fatigue Scale, MAF). Blood pressure and heart rate were measured using a wrist cuff. Results Overall total sleep time was 6.59 hours and sleep efficiency was 82.55%. Pearson correlational analyses revealed a negative moderate association between sleep efficiency and diastolic blood pressure (r(49) = -.318, p = .024). Global PSQI scores were moderately associated with stress (r(49) = .419, p = .002). MAF Global Fatigue Index scores revealed positive associations with depression (r(49) = .344, p =.014), anxiety (r(49) = .474, p&lt;.001), and stress (r(49) = .620 p&lt;.001). Heart rate was positively associated with depressive symptoms r(49) = .296, p= .035), stress symptoms r(49) = .447, p= .001), and fatigue r(49) = .456, p= .001). Conclusion As expected, college students’ sleep was short in duration and poor in efficiency. Sleep factors, cardiovascular factors, psychological factors, and stress were all related, demonstrating the importance of sleep on physiological and psychological health. More research should be conducted to further examine the relationships and directionality between sleep, psychological factors, and stress as there may be underlying mechanisms important for cardiovascular health. Support None.

Abstract 412: Obesity is an Independent Predictor Of Arterial Stiffness

Hypertension ◽  
2013 ◽  
Vol 62 (suppl_1) ◽  
Author(s):  
Mohan Thanikachalam ◽  
Shasha Bai ◽  
Vijayakumar Harivanzan ◽  
Ragavendra R Baliga ◽  
William T Abraham ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Regression Analysis ◽  
Arterial Stiffness ◽  
Multivariate Regression ◽  
Independent Predictor ◽  
Density Lipoprotein ◽  
Multivariate Regression Analysis ◽  
Population Based ◽  
Cross Sectional Survey ◽  
Cross Sectional

Background Arterial stiffness assessed by carotid-femoral pulse wave velocity (PWV) is an independent predictor of cardiovascular morbidity and mortality. We aimed to investigate how various measures of obesity affect arterial stiffness. Methods We conducted a population-based cross-sectional survey in 8,042 South Indians above the age of 20 years. Following completion of a detailed medical history questionnaire, all participants underwent haemodynamic screening including brachial and central blood pressure, and PWV measurements using a high-fidelity applanation tonometry. The study included anthropometric measurements and fasting blood for total cholesterol (TC), triglyceride (TG), high density lipoprotein (HDL), low density lipoprotein (LDL) and blood glucose (BG) levels. After the exclusion of people with previous history of diabetes, hypertension and dyslipidemia on drug therapy, 5,841 subjects (mean age 41.6 years; 58% women) constituted the study sample Results In an univariate analysis, PWV correlated positively with age, mean blood pressure (MAP), heart rate (HR), body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), body fat percent (BF%), TC, TG, LDL and BG levels (P <0.001) and negatively with HDL levels (P=0.005). In a multivariate regression analysis, majority of the PWV variability in the model was accounted for by MAP and age, (cumulative adjusted R2 change of 32.79% as compared to the total adjusted R2 change of 35.25%). However, BMI (β= 0.042; adjusted R2 change=2.83%; p<0.001) independently correlated with PWV and its contribution to the PWV variability was far more significant compared to LDL, BG and TG (cumulative adjusted R2 change=1.08%). Multivariate regression analysis using the WC, WHR, or BF% instead of the BMI continued to demonstrate a significant independent effect of obesity parameters on PWV. Conclusion: In a large a population-based cross-sectional survey the study demonstrates a positive, independent association between obesity parameters and increased arterial stiffness.

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