View clinical trials related to Sleep.
Filter by:The primary goal of this study is to examine the effect of one-hour walking exercise on sleep quality in adults. The second goal of this study is to explore a feasible exercise method to promote sleep quality to all age groups, in order to improve sleep quality in overall population. The study attempts to unfold how the daily exercise, such as walking, benefits sleep quality. This study hypothesis that one-hour walking improves sleep quality in general population.
A mixed methods proof of concept study to ascertain the effectiveness of a home-based self-administered neurofeedback intervention to treat the primary and secondary symptoms of chronic pain.
Sleep deprivation is common in critical patients and it can cause impair consolidation of memory, cognitive function, metabolic function, immune, neurological and respiratory system as well as worsen the quality of life after discharge. It has been demonstrated that reducing sleep disturbance could attenuate the development of delirium in ICU patients. However, sleep evaluation is only personal perception. There are various methods for sleep monitoring, in which the most commonly mentioned methods include polysomnography, actigraphy, and the Richards-Campbell Sleep Questionnaire (RCSQ). The aims of this study is to validate the accuracy of the Thai-version RCSQ and actigraphy for sleep measurement compared to polysomnography, which is considered as the gold-standard in Thai critically ill patients admitted to surgical intensive care unit.
There is objective need to evaluate the differences in dietary intake (DI), body composition (BC), lifestyle (LS) and cardiovascular diseases (CVD) risk factors between healthy and active vegetarinas (VEG) and non vegetarians (non VEG) and references (according to gender). The aim of this cross-sectional study for investigators is to document the potential differences in DI (non adjusted and adjusted), BC, LS and CVD risk factors between healthy and active VEG and non VEG, aged from 18 to 80 years, and to evaluated correlation between DI variables and CVD risk factors. The study during the COVID-19 pandemic period will be self-reported. As variables the investigators will include the dietary intake, BC (body height, body weight, body mass index (BMI), body fat percentage (BF %)), lifestyle status (physical activity, daily seating, hygiene of sleep, socio-economic status, and motive for practicing chosen diet). The investigators will also record their maximum (lifetime) body weight, lipids (total-cholesterol, LDL-cholesterol, HDL-cholesterol, and triglycerides) and blood pressure (BP) status. The investigators hypothesis are: (H1): There are differences in DI and quality of the diet (compared with references). (H2): There are differences in BC between the VEG in non VEG (according to gender). (H3): The are no differences between in CVD risk factors between the VEG and non VEG (according to gender). (H4): The are no differences in the effect of two intervals of time restricted feeding (i.e., 8-12 hours vs. 12-16 hours) within dietary pattern (according to gender).
The purpose of this study is to determine whether a modified yoga program helps improve pain and function in elders age 65 years or older living in an assisted living community. Participation in regular physical activity, such as yoga, may improve strength and mobility and decrease pain. This study was developed to ascertain whether a modified yoga program improves pain and function in assisted-living elders, age 65 years and older.
Resident wellness and physician burnout are under the spotlight more and more as data begins to show that there is a point of diminishing return on the number of hours in training. In 2003, resident work hours were restricted to less than 80 hours per week averaged over 4 weeks. This change was implemented in response to the robust body of evidence that increased work hours leads to decreased sleep, which in turn leads to medical errors and depression. These factors directly and indirectly lead to worse outcomes for patients. In residency, it is difficult objectively to assess when residents are beginning to experience burnout and depression. The investigators propose a study to determine whether tracking of certain heart rate parameters (resting heart rate and heart rate variability) as well as sleep can correlate to subjective assessment of resident wellness, burnout and depression. The investigators will also compare these measures to biomarkers of stress, such as salivary cortisol. The results of this study may lead to improved understanding of what truly causes burnout and may be an eventual target for intervention to help improve short- and long-term outcomes for resident physicians as well as their patients.
This is a pilot, prospective, randomized controlled trial of a novel sleep health program versus no sleep intervention in chronic pain patients. The Sleep Health program will consist of weekly home-based videos and digital materials termed "Self-Management for Sleep Care", which will provide participants with information on how to improve their sleep through education on sleep hygiene, relaxation training, and cognitive behavioural components. Patients will be also be screened through undiagnosed sleep apnea. For those determined to have suspected undiagnosed moderate or severe sleep apnea, they will be receive a recommendation for referral to a sleep clinic as part of standard of care. The study aims to evaluate the feasibility and effectiveness of the Sleep Health Program which includes the videos and digital materials and screening for sleep apnea in patients with chronic pain.
The investigators will aim to determine the association of mood disorders (MDO) with preclinical and clinical cardiovascular (CVD) risk factors among children. The investigators will also aim to identify traditional and non traditional predictors of CVD risk among children with MDO.
The purpose of this placebo-controlled, double-blind study is to determine the effects of a commercially available (i.e. dietary supplement) Hemp Oil Extract product on various markers of physical and mental stress resilience, and perceived recovery from normal daily physical & mental stress. Secondary purposes are to collect information on perceived appetite, mood, feelings of wellbeing, sleep quality, body composition and safety information via standard clinical chemistry panels of sera and plasma.
Sleep behaviour has critical importance to health and wellbeing. A large body of evidence has implicated poor sleep in all-cause mortality, and in cardiovascular and cardiometabolic risk factors. Given the importance of sleep to health, the importance of accurately monitoring sleep duration and quality is becoming more evident. Polysomnography (PSG) is considered the gold standard for sleep assessment. Nevertheless, PSG is impractical, expensive and labour-intensive. Another method to quantify indices of sleep is based on actigraphic measures. Wrist worn actigraphy devices provide an indirect measure of sleep parameters e.g. total sleep time, sleep onset latency and waking time. However, the data is in the form of manufacturer-specific activity 'counts', making it difficult to compare the data with different accelerometer brands. Recently wrist-worn accelerometers have become increasingly used for objective measurement of physical activity in large population studies where participants are often asked to wear them for 24 hours continuously. These devices therefore collect data that could be used to estimate sleep parameters, and now there is a sleep algorithm that can be applied to raw data from accelerometers. The three widely used raw-data accelerometer brands are the Axivity, ActiGraph and GENEActiv and ActivPAL which is a thigh-worn accelerometer that provides a measure of posture. Studies that examined accuracy of estimating sleep parameters from different brands of accelerometers compared to PSG have reported conflicting results which could be due to the use of different sleep algorithms and accelerometer placement (dominant vs. non-dominant wrist vs. hip). Therefore this study will aim to validate automated sleep algorithms for research grade accelerometers against PSG in a clinical and healthy adult population.