scholarly journals EFFECT OF CUFF-INFLATION ON BLOOD PRESSURE, SLEEP EFFICIENCY AND AROUSAL: A SUBANALYSIS OF THE VAST STUDY

2021 ◽  
Vol 39 (Supplement 1) ◽  
pp. e119
Author(s):  
Thenral Socrates ◽  
Philipp Krisai ◽  
Andrea Meienberg ◽  
Michael Mayr ◽  
Thilo Burkard ◽  
...  
SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A156-A156
Author(s):  
A M Reynolds ◽  
K M Mullins

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<.001), and stress (r(49) = .620 p<.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.


2011 ◽  
Vol 26 (1) ◽  
pp. 35-40 ◽  
Author(s):  
H-F Lin ◽  
M S Dhindsa ◽  
T Tarumi ◽  
S C Miles ◽  
D Umpierre ◽  
...  

2007 ◽  
Vol 12 (5) ◽  
pp. 275-280 ◽  
Author(s):  
Alexia Charmoy ◽  
Grégoire Würzner ◽  
Christiane Ruffieux ◽  
Christopher Hasler ◽  
François Cachat ◽  
...  

The Lancet ◽  
1990 ◽  
Vol 335 (8687) ◽  
pp. 451-453 ◽  
Author(s):  
D.P Veerman ◽  
G.A van Montfrans ◽  
W Wieling

1988 ◽  
Vol 43 (6) ◽  
pp. 655-662 ◽  
Author(s):  
Anthony Kales ◽  
Edward O Bixler ◽  
Antonio Vela-Bueno ◽  
Roger J Cadieux ◽  
Rocco L Manfredi ◽  
...  

2019 ◽  
Vol 43 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Takumi Hirata ◽  
Tomohiro Nakamura ◽  
Mana Kogure ◽  
Naho Tsuchiya ◽  
Akira Narita ◽  
...  

Abstract Few studies have reported the relationship between reduced sleep efficiency and the prevalence of hypertension independent of sleep duration in Japan. This study aimed to evaluate whether reduced sleep efficiency, measured using an objective device for >1 week, was related to an increased prevalence of hypertension independent of sleep duration in the general Japanese population. We conducted a cross-sectional study of 904 participants aged ≥20 years who lived in Miyagi Prefecture, Japan. Sleep efficiency was measured using a contactless biomotion sleep sensor for 10 continuous days. The participants were classified into two groups according to their sleep efficiency: reduced (<90%) or not reduced (≥90%). Hypertension was defined as morning home blood pressure ≥135/85 mmHg or self-reported treatment for hypertension. Multivariable logistic regression models were used to obtain odds ratios (ORs) and 95% confidence intervals (CIs) to assess the relationship between sleep efficiency and hypertension adjusted for potential confounders. The results showed that two hundred and ninety-four individuals (32.5%) had reduced sleep efficiency, and 331 (36.6%) had hypertension. Individuals with reduced sleep efficiency had a higher body mass index and shorter sleep duration. In the multivariable analysis, reduced sleep efficiency was significantly related to an increased prevalence of hypertension (OR, 1.62; 95% CI, 1.15–2.28). In conclusion, reduced sleep efficiency was significantly related to an increased prevalence of hypertension in Japanese adults. Improvements in sleep efficiency may be important to reduce blood pressure in Japanese adults.


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