scholarly journals How Physical Exercise Level Affects Sleep Quality? Analyzing Big Data Collected from Wearables

2019 ◽  
Vol 155 ◽  
pp. 242-249
Author(s):  
Xiaoli Liu ◽  
Satu Tamminen ◽  
Topi Korhonen ◽  
Juha Röning
2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Carmen Gebhart ◽  
Daniel Erlacher ◽  
Michael Schredl

Research indicates that physical exercise can contribute to better sleep quality. This study investigates the six-week influence of a combined intervention on self-rated sleep quality, daytime mood, and quality of life. A nonclinical sample of 114 adults with chronic initiating and the maintaining of sleep complaints participated in the study. The intervention group of 70 adults underwent moderate physical exercise, conducted weekly, plus sleep education sessions. Improvements among participants assigned to the intervention group relative to the waiting-list control group (n=44) were noted for subjective sleep quality, daytime mood, depressive symptoms and vitality. Derived from PSQI subscores, the intervention group reported increased sleep duration, shortened sleep latency, fewer awakenings after sleep onset, and overall better sleep efficiency compared to controls. The attained scores were well sustained and enhanced over a time that lasted through to the follow-up 18 weeks later. These findings have implications in treatment programs concerning healthy lifestyle approaches for adults with chronic sleep complaints.


2015 ◽  
Vol 16 ◽  
pp. S242
Author(s):  
S. Kim ◽  
J. Lee ◽  
Y. Lim ◽  
J. Bang ◽  
M. Lee ◽  
...  

2020 ◽  
Vol 10 (23) ◽  
pp. 8391
Author(s):  
María Victoria Palop-Montoro ◽  
Emilio Lozano-Aguilera ◽  
Milagros Arteaga-Checa ◽  
Víctor Serrano-Huete ◽  
Juan Antonio Párraga-Montilla ◽  
...  

Background: Sleep is an important phenomenon to restore the body, both physically and emotionally, providing a state of balance in the person. It has been proven that adequate sleep at night is one of the main needs of older people in order to maintain an active and healthy life; among other factors, regular physical exercise can improve the quality of sleep. The aim of this research is to evaluate the effects of a physical exercise program supplemented with vibration training on sleep quality and the use of sleep drugs in women over 65 years of age. Methods: Fifty-two independent, physically active adult women were randomised into two groups: a physical exercise program (n = 26, control group) and the same physical exercise program supplemented with vibration training (n = 26, experimental group). The control group performed two weekly sessions of exercise, and the experimental group added another two sessions of vibration training to these two sessions for 12 weeks. Sleep quality was assessed using the Pittsburgh index. Statistical significance was established as p < 0.05. Results: After the intervention, there were significant changes to the quality of sleep (p = 0.001) and hours of sleep (p = 0.002) in the experimental group. The consumption of drugs decreased in this group, although not significantly; however, it did have a moderate effect size (p = 0.058; d = 0.36). The control group, on the other hand, reported significantly worsened sleep quality (p = 0.001) and increased drug use (p = 0.008). Conclusion: Three months of vibration training, as a complement to a conventional physical exercise program, improves sleep quality and reduces the consumption of sleeping pills in women over 65 years of age.


2021 ◽  
Author(s):  
Nana Zhao ◽  
Yinzhong Yan ◽  
Xiao Han ◽  
Gaofei Zhang ◽  
Long Chen

Abstract With the combination of big data technology and the Internet of Things and exercise rehabilitation, we are also facing the problem of processing massive amounts of data. Whether these data can be used well has become the key to obtaining good business benefits and improving user experience. This paper applies the Internet of Things and big data technology to the physical exercise rehabilitation system to improve the sports data processing and combine with the big data processing technology to explore the factors affecting the effect of exercise rehabilitation to improve the effect of physical exercise rehabilitation. Moreover, this paper proposes a posture recognition algorithm based on human vision, and defines the human posture described by the feature, which improves the classifier's ability to classify different posture data. Finally, this paper combines experimental analysis to verify the effect of the method in this paper. From the research results, it can be seen that the method constructed in this paper has a good rehabilitation effect of physical exercise.


2019 ◽  
Vol 29 (7) ◽  
pp. 922-929 ◽  
Author(s):  
Eva R. Hedlund ◽  
Li Villard ◽  
Bo Lundell ◽  
Gunnar Sjöberg

AbstractObjective:To study physical activity and sleep in Fontan patients and healthy controls before and after an endurance training program, and after 1 year.Method:Fontan patients (n = 30) and healthy controls (n = 25) wore accelerometers for seven consecutive days and nights during a school week before and after a 12-week endurance training program and after 1 year.Results:Patients had similar sleep duration and sleep efficiency as healthy controls. Latency to sleep onset in minutes was longer for patients than controls (22.4 (4.3–55.3) minutes versus 14.8 (8.6–29.4) minutes, p < 0.01). More time in moderate-to-vigorous activity daytime was correlated with increased sleep time (p < 0.05; r2 = 0.20), improved sleep efficiency (p < 0.01; r2 = 0.24) and less time as wake after sleep onset (p < 0.05; r2 = 0.21) for patients but not controls. Sleep variables did not change after the exercise intervention for patients or controls. After 1 year, patients had decreased total sleep time, decreased sleep efficiency, increased accelerometer counts during sleep and more time as wake after sleep onset during sleep time, but not controls.Conclusions:Fontan patients have prolonged latency to sleep onset compared with controls. More time in physical activities was correlated with better sleep quality for the patients. Also, subjects with low sleep efficiency and long latency to sleep onset may benefit most from physical exercise. These patients should be encouraged to engage in individually designed physical exercise as this could improve sleep quality.


Author(s):  
Dilton Dos Santos Silva ◽  
Felipe José Aidar Martins ◽  
Dihogo Gama de Matos ◽  
Raphael Fabrício De Souza ◽  
Osvaldo Costa Moreira ◽  
...  

Objective: Analyze the effects of a physical exercise program on blood markers and sleep quality in the elderly. Method: A total of 112 elderly people with metabolic diseases controlled by hypocholesterolemic and hypoglycemic medications participated in the study. The participants were divided into two groups, an exercise group composed of 54 individuals with a mean age of 62 years and control group of 58 individuals with a mean age of 63 years. Results: Blood glucose, total cholesterol, and triglyceride levels showed a mean reduction of 27.47, 18.13, and 23.48 mg/dl, respectively, and an increase of 8.98 mg/dl in the high-density lipoprotein level was seen. A significant change was seen in the low-density lipoprotein, very-low-density lipoprotein, and calcium levels on comparing the exercise group post-test values with that of the control group pre-test. The Pittsburgh Sleep Quality Index score showed a significant reduction of 3.15 (p < 0.001, μp2=0.78) on comparing the exercise group with the control group. Conclusion: It can be concluded that the physical exercise program, consisting of supervised walking and gymnastics with localized quadriceps muscle strengthening exercises, performed for 16 weeks at a frequency of three times a week for 60 min, was effective in improving the low-density lipoprotein and very-low-density lipoprotein levels and sleep quality of the elderly.


2020 ◽  
Vol Volume 12 ◽  
pp. 705-708
Author(s):  
Sahil Bajaj ◽  
Karina S Blair ◽  
Ru Zhang ◽  
Johannah Bashford-Largo ◽  
Matthew Dobbertin ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Wenjia Li ◽  
Weitang Zhang

Sports facilities are the material basis for people to participate in physical exercise. The construction of facilities is conducive to improving people’s health and their expectations for a happy life. Sports facilities are part of the infrastructure. The reasonable layout of sports facilities is conducive to shortening the gap between urban and rural areas, achieving common economic prosperity, and promoting social harmony and unity. Public sports facilities are of great significance to urban construction and people’s daily lives. Based on big data and machine vision, this document constructs a big data model framework for urban public sports and leisure facilities, quantifies the diversity and overall coordination of sports facilities, and conducts simulation experiments on the designed urban leisure and sports public facility model. The experimental results show that compared with the traditional method, this method effectively improves the coverage of urban leisure and sports public facilities, and the space utilization rate is increased by 15.32% compared with the traditional method, which maximizes the use of regional space and makes it more convenient for urban residents. It can carry out physical exercise quickly and improve the quality of life of residents.


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