Effects of nadolol on blood pressure, sleep efficiency, and sleep stages

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

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<.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.

Abstract P417: Relationship Between Blood Pressure Variability and Sleep Architecture

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Xiaoyue Liu ◽  
Jeongok G Logan ◽  
Younghoon Kwon ◽  
Jennifer Lobo ◽  
Hyojung Kang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Eye Movement ◽  
Rem Sleep ◽  
Sleep Time ◽  
Sleep Architecture ◽  
Sleep Stages ◽  
Apnea Hypopnea Index ◽  
Rapid Eye Movement ◽  
Sleep Studies ◽  
The Relationship

Introduction: Blood pressure (BP) variability (BPV) is a novel marker for cardiovascular disease (CVD) independent of high BP. Sleep architecture represents the structured pattern of sleep stages consisting of rapid eye movement (REM) and non-rapid eye movement (NREM), and it is an important element in the homeostatic regulation of sleep. Currently, little is known regarding whether BPV is linked to sleep stages. Our study aimed to examine the relationship between sleep architecture and BPV. Methods: We analyzed in-lab polysomnographic studies collected from individuals who underwent diagnostic sleep studies at a university hospital from 2010 to 2017. BP measures obtained during one year prior to the sleep studies were included. BPV was computed using the coefficient of variation for all individuals who had three or more systolic and diastolic BP data. We conducted linear regression analysis to assess the relationship of systolic BPV (SBPV) and diastolic BPV (DBPV) with the sleep stage distribution (REM and NREM sleep time), respectively. Covariates that can potentially confound the relationships were adjusted in the models, including age, sex, race/ethnicity, body mass index, total sleep time, apnea-hypopnea index, mean BP, and history of medication use (antipsychotics, antidepressants, and antihypertensives) during the past two years before the sleep studies. Results: Our sample (N=3,565; male = 1,353) was racially and ethnically diverse, with a mean age 54 ± 15 years and a mean BP of 131/76 ± 13.9/8.4 mmHg. Among the sleep architecture measures examined, SBPV showed an inverse relationship with REM sleep time after controlling for all covariates ( p = .033). We subsequently categorized SBPV into four quartiles and found that the 3 rd quartile (mean SBP SD = 14.9 ± 2.1 mmHg) had 3.3 fewer minutes in REM sleep compared to the 1 st quartile ( p = .02). However, we did not observe any relationship between DBPV and sleep architecture. Conclusion: Greater SBPV was associated with lower REM sleep time. This finding suggests a possible interplay between BPV and sleep architecture. Future investigation is warranted to clarify the directionality, mechanism, and therapeutic implications.

scholarly journals Effects of sleep on the cardiovascular and thermoregulatory systems: a possible role for hypocretins

2010 ◽  
Vol 109 (4) ◽  
pp. 1053-1063 ◽  
Author(s):  
H. Schwimmer ◽  
H. M. Stauss ◽  
F. Abboud ◽  
S. Nishino ◽  
E. Mignot ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Eye Movement ◽  
Time Of Day ◽  
Male Rats ◽  
State Transitions ◽  
Sleep Stages ◽  
Electromyographic Activity ◽  
Rapid Eye Movement ◽  
Hypocretin Neuron

Sleep influences the cardiovascular, endocrine, and thermoregulatory systems. Each of these systems may be affected by the activity of hypocretin (orexin)-producing neurons, which are involved in the etiology of narcolepsy. We examined sleep in male rats, either hypocretin neuron-ablated orexin/ataxin-3 transgenic (narcoleptic) rats or their wild-type littermates. We simultaneously monitored electroencephalographic and electromyographic activity, core body temperature, tail temperature, blood pressure, electrocardiographic activity, and locomotion. We analyzed the daily patterns of these variables, parsing sleep and circadian components and changes between states of sleep. We also analyzed the baroreceptor reflex. Our results show that while core temperature and heart rate are affected by both sleep and time of day, blood pressure is mostly affected by sleep. As expected, we found that both blood pressure and heart rate were acutely affected by sleep state transitions in both genotypes. Interestingly, hypocretin neuron-ablated rats have significantly lower systolic and diastolic blood pressure during all sleep stages (non-rapid eye movement, rapid eye movement) and while awake (quiet, active). Thus, while hypocretins are critical for the normal temporal structure of sleep and wakefulness, they also appear to be important in regulating baseline blood pressure and possibly in modulating the effects of sleep on blood pressure.

Utility of Activity Monitors and Thermometry in Assessing Sleep Stages and Sleep Quality

2018 ◽  
Vol 1 (3) ◽  
pp. 108-121
Author(s):  
Natashia Swalve ◽  
Brianna Harfmann ◽  
John Mitrzyk ◽  
Alexander H. K. Montoye
Keyword(s):  
Sleep Quality ◽  
Skin Temperature ◽  
Sleep Stage ◽  
Sleep Onset ◽  
Sleep Efficiency ◽  
Sleep Stages ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Activity Monitors ◽  
Research Grade

Activity monitors provide an inexpensive and convenient way to measure sleep, yet relatively few studies have been conducted to validate the use of these devices in examining measures of sleep quality or sleep stages and if other measures, such as thermometry, could inform their accuracy. The purpose of this study was to compare one research-grade and four consumer-grade activity monitors on measures of sleep quality (sleep efficiency, sleep onset latency, and wake after sleep onset) and sleep stages (awake, sleep, light, deep, REM) against an electroencephalography criterion. The use of a skin temperature device was also explored to ascertain whether skin temperature monitoring may provide additional data to increase the accuracy of sleep determination. Twenty adults stayed overnight in a sleep laboratory during which sleep was assessed using electroencephalography and compared to data concurrently collected by five activity monitors (research-grade: ActiGraph GT9X Link; consumer-grade: Fitbit Charge HR, Fitbit Flex, Jawbone UP4, Misfit Flash) and a skin temperature sensor (iButton). The majority of the consumer-grade devices overestimated total sleep time and sleep efficiency while underestimating sleep onset latency, wake after sleep onset, and number of awakenings during the night, with similar results being seen in the research-grade device. The Jawbone UP4 performed better than both the consumer- and research-grade devices, having high levels of agreement overall and in epoch-by-epoch sleep stage data. Changes in temperature were moderately correlated with sleep stages, suggesting that addition of skin temperature could increase the validity of activity monitors in sleep measurement.

scholarly journals Sleep-related sweating in obstructive sleep apnoea: association with sleep stages and blood pressure

2010 ◽  
Vol 19 (1p2) ◽  
pp. 122-130 ◽  
Author(s):  
ERNA SIF ARNARDOTTIR ◽  
BJORG THORLEIFSDOTTIR ◽  
EVA SVANBORG ◽  
ISLEIFUR OLAFSSON ◽  
THORARINN GISLASON
Keyword(s):  
Blood Pressure ◽  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
Sleep Stages ◽  
Obstructive Sleep

scholarly journals 1139 Sleep Disturbances In Chronic Stroke Patients: Emotional And Cognitive Impact

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A433-A434
Author(s):  
S N Howell ◽  
S E Robinson ◽  
G S Griesbach
Keyword(s):  
Quality Of Life ◽  
Positive Affect ◽  
Outcome Measures ◽  
Verbal Learning ◽  
Sleep Efficiency ◽  
Cognitive Outcome ◽  
Sleep Stages ◽  
Stroke Patients ◽  
The Impact

Abstract Introduction The objective was to investigate the impact of sleep-wake disturbances (SWD) on cognition and quality of life in the post-acute phase of stroke. Methods Adult stroke (n=92) patients were assessed for SWD via overnight polysomnography. The mean age was 52 ± 1 years and mean latency from injury was 117 ± 10 days. Sleep measures included total sleep time (TST), sleep and REM latency, percent time in sleep stages, apnea/hypopnea index (AHI), wake after sleep onset (WASO), and arousal index. The primary cognitive/outcome measures were: Montreal Cognitive Assessment (MoCA), California Verbal Learning Test (CVLT-II), Neuro-QoL and Mayo Portland Adaptability Inventory (MPAI). Results Women had lower AHI (F(1,88)=9.360, p<.01), fewer arousals (F(1,90)=4.53, p<.05), and spent significantly more time in SWS (F(1,90)=11.525, p<.001) than men; however, SWS was reduced in both sexes. SWS made up < 3% of TST in 60% of patients and was not correlated with higher AHI. SWDs negatively impacted subjective quality of life (NeuroQOL). Longer latencies to sleep were associated with increased depression (p<.05) and decreased positive affect (p<.01). Increased sleep efficiency led to improved positive affect (p<.05) and decreases in emotional/behavioral dyscontrol (p<.05). Increased time in REM sleep decreased emotional/behavioral dyscontrol (p<.05), while increasing satisfaction with social roles and activities(p<.01). SWDs also negatively impacted cognitive/outcome scores. Increased TST and sleep efficiency led to higher scores on CVLT-II list B and long delay free recall (p<.05), while higher AHI led to poorer performance on long delay and forced choice recognition trials (p<.01). Additionally, non-REM AHI negatively impacted MPAI adjustment scores (F(1,69)=4.036, p<.05). Conclusion Male stroke patients displayed significantly more arousals and spent less time in SWS than females. For both sexes, better sleep indicated improved quality of life. Sleep measures were correlated with cognitive/outcome measures. Non-REM AHI significantly predicted outcome at discharge from rehabilitation facility. Support  

scholarly journals Reduced sleep efficiency, measured using an objective device, was related to an increased prevalence of home hypertension in Japanese adults

2019 ◽  
Vol 43 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Takumi Hirata ◽  
Tomohiro Nakamura ◽  
Mana Kogure ◽  
Naho Tsuchiya ◽  
Akira Narita ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Duration ◽  
Multivariable Analysis ◽  
Reduce Blood Pressure ◽  
Home Blood Pressure ◽  
Sleep Efficiency ◽  
Cross Sectional ◽  
Japanese Adults ◽  
Miyagi Prefecture ◽  
The Relationship

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.

scholarly journals 1205 Activity Trackers As A Tool In Sleep Research: Determining Discrepancies In Trackers Vs. PSG

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A460-A461
Author(s):  
E P Pollet ◽  
D P Pollet ◽  
B Long ◽  
A A Qutub
Keyword(s):  
Sleep Disorders ◽  
Sleep Stage ◽  
Sleep Onset ◽  
Sleep Efficiency ◽  
Sleep Stages ◽  
Sleep Staging ◽  
Sleep Study ◽  
Activity Tracker ◽  
Activity Trackers ◽  
Large Populations

Abstract Introduction Fitness-based wearables and other emerging sensor technologies have the potential to track sleep across large populations longitudinally in at-home environments. To understand how these devices can inform research studies, limitations of available trackers need to be compared to traditional polysomnography (PSG). Here we assessed discrepancies in sleep staging in activity trackers vs. PSG in subjects with various sleep disorders. Methods Twelve subjects (age 41-78, 7f, 5m) wore a Fitbit Charge 3 while undergoing a scheduled sleep study. Six subjects had been previously diagnosed with a sleep disorder (5 OSA, 1 CSA). 4 subjects used CPAP throughout the night, 2 had a split night (CPAP 2nd half of the night), and 6 had a PSG only. Activity tracker staging was compared to 2 RPSGTs staging. Results Of the 12 subjects, eight subjects’ sleep was detected in the activity tracker, and compared across sleep stages to the PSG (7 female, 1 male, ages 41-78, AHI 0.3-87, RDI 0.5-94.4, sleep efficiency 74%+/-18, 4 PSG, 1 split, 3 CPAP). The activity tracker matched either tech 52% (+/- 13). The average difference in score tech and activity tracker staging for sleep onset (SO) was 16 +/- 15 minutes and wake after sleep onset was 43.5 +/- 44 minutes. Sensitivity, specificity, and balanced accuracy were found for each sleep stage. Respectively, Wake: 0.45+/-0.27, 0.97+/-0.03, 0.71+/-0.12, REM: 0.41+/-0.30, 0.90+/-0.06, 0.60+/-0.28, Light: 0.71+/-0.09, 0.58+/-0.19, 0.65+/-0.10, Deep: 0.63+/-0.52, 0.88+/-0.05, 0.59+/-0.49. Conclusion From this study of 12 subjects seen at a sleep clinic for suspected sleep disorders, activity trackers performed best in wake, REM and deep sleep specificity (&gt;=88%), while they lacked sensitivity to REM and wake (&lt;=45%) stages. The tracker did not detect sleep in 4 subjects who had elevated AHI or low sleep efficiency. Further analysis can identify whether discrepancies between the Fitbit and PSG can be predicted by distinct patterns in sleep staging and/or identify subject exclusion criteria for activity tracking studies. Support This project in on-going with the support of Academy Diagnostics Sleep and EEG Center and staff.

Effects of wake and sleep stages on the 24-h autonomic control of blood pressure and heart rate in recumbent men

1994 ◽  
Vol 266 (2) ◽  
pp. H548-H554 ◽  
Author(s):  
P. Van de Borne ◽  
H. Nguyen ◽  
P. Biston ◽  
P. Linkowski ◽  
J. P. Degaute
Keyword(s):  
Blood Pressure ◽  
Baroreflex Sensitivity ◽  
Low Frequency ◽  
Sleep Stages ◽  
Arterial Baroreflex ◽  
Marked Rise ◽  
Clear Cut ◽  
Falling Asleep ◽  
Frequency Components ◽  
Spectral Frequency

Fifteen recumbent young health volunteers underwent 24-h beat-to-beat blood pressure (BP) and interbeat interval (IBI) recordings to explore the effects of wake and polygraphically recorded sleep on the nyctohemeral variations in the spectral frequency components of BP and IBI and in the arterial baroreflex sensitivity (BRS), independent of the confounding effects of changes in posture and physical activity. Spectral analysis of BP and IBI provided markers of sympathetic and vagal controls and of arterial BRS. When falling asleep, the low-frequency (LF) BP and IBI components showed a marked decrease while there was a clear-cut increase in the high-frequency (HF) IBI component. In contrast, only a slight nighttime rapid eye movement-related arterial BRS increase was observed. The final morning awakening induced a pronounced decrease in arterial BRS and the HF IBI component while there was a marked rise in the LF BP component. Hence, a clear 24-h variation in sympathetic and vagal tone but not in arterial BRS persists, independent of changes in activity and position.

Abstract P204: Stroke Topography Impacts Sleep Architecture in Post-Acute Stroke

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Stefanie N Howell ◽  
Stephanie E Robinson ◽  
Grace S Griesbach
Keyword(s):  
Ischemic Stroke ◽  
Rem Sleep ◽  
Sleep Efficiency ◽  
Sleep Architecture ◽  
Sleep Stages ◽  
Apnea Hypopnea Index ◽  
Close Monitoring ◽  
Stroke Patients ◽  
Significant Difference ◽  
The Impact

Introduction/Objective: Sleep-wake disturbances (SWDs) are common amongst stroke patients; however, little work has been done on the effect of stroke location on sleep architecture. The aim of this study was to investigate the impact of stroke topography on prevalence and severity of SWDs in the post-acute phase of ischemic stroke recovery. Methods: Ischemic stroke patients (n=55) were assessed for SWDs via overnight attended polysomnography in a post-acute rehabilitation setting. The mean age was 55 ± 1.4 years and mean latency from injury was 106 ± 11 days. Sleep measures included total sleep time (TST), sleep and REM latency, sleep efficiency, percent time in sleep stages, apnea/hypopnea index (AHI), wake after sleep onset (WASO), and arousal index. Patients who did not have at least four hours of TST were excluded. Stroke patients were identified as having supratentorial or infratentorial injuries. Results: Results showed a significant difference between supratentorial and infratentorial stroke in regards to sleep efficiency, REM sleep, and sleep apnea. Patients with infratentorial stroke (n=15) displayed significantly poorer sleep efficiency (F(1,53)=12.386, p<.001), decreased REM sleep (F(1,53)=5.944), p<.05) and higher AHI (F(1,53)=4.698, p<.05). In addition to displaying a decreased amount of REM, infratentorial stroke patients displayed significantly shorter bouts of REM (F(1,52)=7.482, p<.01). Neither age nor AHI were significantly correlated with the amount or duration of REM (p>.05). Conclusion: Infratentorial ischemic stroke patients display significant disruptions in sleep and may require close monitoring for sleep-wake disturbances in the post-acute period. REM sleep is particularly effected when compared to supratentorial ischemic stroke.

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