scholarly journals Association between subjective sleep quality and blood pressure at rest and during exercise in free-living conditions in young women: A pilot study

2021 ◽  
Vol 70 (3) ◽  
pp. 237-243
Author(s):  
Takashi Yamagata
2018 ◽  
Vol 20 (3) ◽  
pp. 592-605 ◽  
Author(s):  
Kenneth Lo ◽  
Brigitte Woo ◽  
Martin Wong ◽  
Wilson Tam

Lung ◽  
2009 ◽  
Vol 187 (6) ◽  
pp. 427-428
Author(s):  
Ernesto Crisafulli ◽  
Giuseppe Manni ◽  
Marika Kidonias ◽  
Ludovico Trianni ◽  
Enrico M. Clini

2016 ◽  
Vol 24 (4) ◽  
pp. 14-22 ◽  
Author(s):  
Birna Baldursdottir ◽  
Richard E. Taehtinen ◽  
Inga Dora Sigfusdottir ◽  
Alexandra Krettek ◽  
Heiddis B. Valdimarsdottir

Background: The aim of this pilot study was to examine the impact of a brief physical activity intervention on adolescents’ subjective sleep quality. Cross-sectional studies indicate that physically active adolescents have better subjective sleep quality than those with more sedentary habits. However, less is known about the effectiveness of physical activity interventions in improving adolescents’ subjective sleep quality. Methods: In a three-week physical activity intervention, four Icelandic upper secondary schools were randomized to either an intervention group with pedometers and step diaries or a control group without pedometers and diaries. Out of 84, a total of 53 students, aged 15−16 years, provided complete data or a minimum of two days step data (out of three possible) as well as sleep quality measures at baseline and follow-up. Subjective sleep quality, the primary outcome in this study, was assessed with four individual items: sleep onset latency, nightly awakenings, general sleep quality, and sleep sufficiency. Daily steps were assessed with Yamax CW-701 pedometers. Results: The intervention group ( n = 26) had significantly higher average step-count ( p = 0.03, partial η2 = 0.093) compared to the control group ( n = 27) at follow-up. Subjective sleep quality improved ( p = 0.02, partial η2 = 0.203) over time in the intervention group but not in the control group. Conclusions: Brief physical activity interventions based on pedometers and step diaries may be effective in improving adolescents’ subjective sleep quality. This has important public health relevance as the intervention can easily be disseminated and incorporated into school curricula.


Author(s):  
LaBarron K Hill ◽  
Jade Q Wu ◽  
Alan L Hinderliter ◽  
James A Blumenthal ◽  
Andrew Sherwood

Abstract BACKGROUND Poor sleep quality is increasingly recognized as an important and potentially modifiable risk factor for cardiovascular disease (CVD). Impaired endothelial function may be 1 mechanism underlying the association between poor sleep and CVD risk. The present study examined the relationship between objective measures of sleep quality and endothelial function in a sample of untreated hypertensive adults. METHODS Participants were 127 men (N = 74) and women (N = 53), including 55 African Americans and 72 White Americans, aged 40–60 years (mean age, 45.3 ± 8.5 years), with untreated hypertension (systolic blood pressure 130–159 mm Hg and/or diastolic blood pressure 85–99 mm Hg). Noninvasive brachial artery flow-mediated dilation (FMD) was assessed by ultrasound. Sleep parameters, including sleep efficiency (SE), total sleep time (TST), and subjective sleep quality, were assessed over 7 consecutive days by wrist actigraphy. RESULTS Participants averaged 7.76 ± 1 hours in bed, with an average SE of 78 ± 9%, and TST of 6 ± 1 hours. Brachial FMD averaged 3.5 ± 3.1%. In multivariate analyses controlling for sex, race, body mass index, clinic blood pressure, income, smoking, alcohol use, and baseline arterial diameter, SE was positively associated with FMD (β = 0.28, P = 0.012). Subjective sleep quality (β = −0.04, P = 0.63) and TST (β = −0.11, P = 0.25) were unrelated to FMD. CONCLUSIONS Poor sleep as indicated by low SE was associated with impaired FMD. These findings for SE are consistent with previous observations of other measures implicating poor sleep as a CVD risk factor. Interventions that improve sleep may also help lower CVD risk.


2011 ◽  
Vol 10 (1) ◽  
pp. 27 ◽  
Author(s):  
Jesper Kristiansen ◽  
Mette Korshøj ◽  
Jørgen H Skotte ◽  
Tobias Jespersen ◽  
Karen Søgaard ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8377
Author(s):  
Alexander Jamieson ◽  
Laura Murray ◽  
Lina Stankovic ◽  
Vladimir Stankovic ◽  
Arjan Buis

This pilot study aimed to investigate the implementation of supervised classifiers and a neural network for the recognition of activities carried out by Individuals with Lower Limb Amputation (ILLAs), as well as individuals without gait impairment, in free living conditions. Eight individuals with no gait impairments and four ILLAs wore a thigh-based accelerometer and walked on an improvised route in the vicinity of their homes across a variety of terrains. Various machine learning classifiers were trained and tested for recognition of walking activities. Additional investigations were made regarding the detail of the activity label versus classifier accuracy and whether the classifiers were capable of being trained exclusively on non-impaired individuals’ data and could recognize physical activities carried out by ILLAs. At a basic level of label detail, Support Vector Machines (SVM) and Long-Short Term Memory (LSTM) networks were able to acquire 77–78% mean classification accuracy, which fell with increased label detail. Classifiers trained on individuals without gait impairment could not recognize activities carried out by ILLAs. This investigation presents the groundwork for a HAR system capable of recognizing a variety of walking activities, both for individuals with no gait impairments and ILLAs.


Lung ◽  
2009 ◽  
Vol 187 (5) ◽  
pp. 299-305 ◽  
Author(s):  
Ernesto Crisafulli ◽  
Giuseppe Manni ◽  
Marika Kidonias ◽  
Ludovico Trianni ◽  
Enrico M. Clini

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