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Accompanied by the increasing prevalence of sleep disorders among students in colleges and universities, there is an urgent need for colleges and universities to provide a scientific basis and practical guidance for exercise intervention for sleep disorders among students. In this paper, in order to study the relationship between physical exercise and sleep disorder intervention, after analyzing the etiology and pathology of sleep disorders, we first surveyed students of a university in Guangzhou to analyze the differential characteristics of students’ sleep quality under different statistical variables. Then, a logistic linear regression model was established to analyze the influencing factors of college students’ sleep quality by taking the variables with statistically significant results in the one-way analysis as independent variables and college students’ sleep quality as dependent variables. Finally, college students with more serious sleep disorders in the university were subjected to a semester of walking, running, and soccer physical exercise to analyze the role of physical activity in influencing the intervention of sleep disorders in students. It was found that the PSQI scores of the walking group, running group, and soccer group before and after one semester of walking exercise decreased by 2.29, 3.16, and 3.18 points, respectively, and the scores of the rest of the items decreased to different degrees, which reflected the good effect of the physical exercise intervention on the intervention of sleep disorders. Explore the effects of physical exercise intervention on the quality of sleep among college students and provide practical suggestions for improving college students’ sleep quality through exercise.
Accompanied by the increasing prevalence of sleep disorders among students in colleges and universities, there is an urgent need for colleges and universities to provide a scientific basis and practical guidance for exercise intervention for sleep disorders among students. In this paper, in order to study the relationship between physical exercise and sleep disorder intervention, after analyzing the etiology and pathology of sleep disorders, we first surveyed students of a university in Guangzhou to analyze the differential characteristics of students’ sleep quality under different statistical variables. Then, a logistic linear regression model was established to analyze the influencing factors of college students’ sleep quality by taking the variables with statistically significant results in the one-way analysis as independent variables and college students’ sleep quality as dependent variables. Finally, college students with more serious sleep disorders in the university were subjected to a semester of walking, running, and soccer physical exercise to analyze the role of physical activity in influencing the intervention of sleep disorders in students. It was found that the PSQI scores of the walking group, running group, and soccer group before and after one semester of walking exercise decreased by 2.29, 3.16, and 3.18 points, respectively, and the scores of the rest of the items decreased to different degrees, which reflected the good effect of the physical exercise intervention on the intervention of sleep disorders. Explore the effects of physical exercise intervention on the quality of sleep among college students and provide practical suggestions for improving college students’ sleep quality through exercise.
Background/Objectives: Sleep disturbance is often observed in the context of chronic pain. We hypothesize that, by providing an immersive Virtual Reality (VR) experience with a serious game to chronic pain patients an hour before bedtime, attention can be diverted from the pain condition, consequently leading to improved sleep quality. The aim is to evaluate the efficacy of VR compared to usual care in reducing the number of awakenings during the night and increasing sleep efficiency in patients suffering from painful diabetic polyneuropathy (PDPN). Methods: Eight patients with PDPN were randomized to either two weeks of VR or two weeks of usual care, followed by a cross-over. The primary outcome measurements were sleep efficiency and number of awakenings during the night. As secondary outcomes, self-reported sleep quality, insomnia, pain catastrophizing, anxiety, depression, pain intensity, side effects and impression of change were evaluated. Results: Data of seven patients were analysed. Actigraphy data, self-reported sleep quality, insomnia, pain catastrophizing, anxiety, depression and pain intensity scores did not differ between usual care and VR. As for impression of change, more patients improved after VR compared to usual care (V = 21, p = 0.03). Conclusions: A 2-week period of pain neuroscience education through VR did not result in increased sleep efficiency or fewer awakenings compared to usual care in patients with PDPN. These pilot results indicate that patients subjectively experience an improvement, yet this is not substantiated by either self-reported or objective measurements.
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