View clinical trials related to Sleep.
Filter by:This study aims to characterise associations between day-to-day sleep, activity, meal schedules, well-being and continuous glucose profiles in a cohort of free-living healthy, young adults. Multi-day data will be collected using wearables and smartphone-based measures in field settings.
This project is designed to test for the first time whether glucose metabolism is differentially impaired by sleep restriction with and without additional exposure to artificial light at night (ALAN).
Our long-term goal is to contribute to the development of evidence-based nutritional and physical activity recommendations for the prevention and management of overweight and obesity and related chronic diseases. The overall objective for this study is to determine if a 20-week educational program, project DFEND, related to behavior change and health will improve nutrition and physical activity outcomes as well as indicators of wellbeing. Our central hypothesis is that regular attendance of weekly lectures, weekly meetings with personalized coaches, and weekly health challenges via virtual platforms (e.g. Zoom, Facebook, YouTube) will improve health outcomes related to nutrition and physical activity. Our rationale for these studies is that the results of this research will enhance the potential to develop evidence-based nutritional and physical activity behavioral recommendations to treat and/or prevent development of overweight and obesity.
A study to asses the feasibility of physicians using a wearable brain sensing wellness device during a time of increased work load, patient volume and stressors to assess the association between duration of active state and calm state as measured by the wearable brain sensing wellness device, and quality of life (QOL), subjective stress, sleep and resilience.
This proposed project will investigate whether a variable or a stable sleep schedule will be more effective in minimizing neurobehavioural and metabolic deficits when total sleep opportunity across two weeks is below the recommended sleep duration. In this laboratory-based, stay-in study, 60 young adults will be randomized into 1 of 3 groups. After 2 nights of 8-h time-in-bed (TIB) that simulate longer sleep opportunities typical of weekends, the stable short sleep group will have a 6-h TIB in each of the following 5 'weeknights' (8866666). The variable short sleep group (8884846) will also have a total TIB of 30h during the 'weeknights', although TIB varies across the 'weeknights'. The nightly TIB of the well-rested control group will be 8h (8888888). These manipulations will repeat in the second week, enabling the tracking of outcome measures during recurrent weeks of sleep restriction on 'weekdays' and extension on 'weekends'. A test battery assessing basic cognitive functions and mood will be administered 5 times a day. A long-term memory encoding task will be administered after week 1. A functional Magnetic Resonance Imaging (fMRI) brain scan, and an Oral Glucose Tolerance Test (OGTT) will be conducted after the second 'weekend' night and after the last 'weeknight' each week. Continuous glucose monitoring will be conducted throughout the experiment. Sleep will be measured every night with polysomnography.
The goal of the present study is to optimize effects of slow oscillatory transcranial direct current stimulation (so-tDCS) on sleep physiology and memory consolidation in humans by combining computational and experimental human models in an iterative process. The investigator therefore works in cooperation with Prof. Dr. Klaus Obermayer (TU Berlin), who contributes computation models with the aim to mechanistically understand the impact of different perturbations on sleep-related electrophysiological features, and to subsequently optimize so-tDCS parameters for inducing SO and spindle activity.
It is becoming increasingly evident that sleep plays an essential role for human health, and it represents an important biophysiological variable for athletes' well-being and recovery. The International Olympic Committee recently highlighted the importance of obtaining sufficient sleep volume and quality among athletes, but acute sleep deprivation is not unusual. Several factors, both endogenous and exogenous, are able to negatively influence sleep in athletes: body temperature, altitude, chronotype, training volume, anxiety, westward and eastward travels, and many others. Since December 2019, when a new coronavirus (SARS-CoV-2) was originally revealed by an ophthalmologist in Wuhan (Hubei province, China), a related severe acute respiratory syndrome - namely COVID-19 - has been spreading at a pandemic rate, putting global health systems under unprecedent pressure. Italy, as the first Western country tremendously hit by this disease outbreak, has become the iconic resilient outpost under international policymakers' attention. When initial clusters were identified, restrictive actions to curb isolated upsurges of infection were taken by the health region system of Lombardy, thereafter, were extended to all northern Italy and to the entire country. From February 21, when the first Italian COVID-19 case was diagnosed in southern Lombardy, to March 22, when Italian's government restrictions to contain the pandemic were extended, prohibiting all non-essential business activities and banning all movements of people nationwide, the country faced an unchartered scenario, from several standpoints, along with the psychosocial one. Inevitably, the Covid-19 outbreak has largely influenced the daily life of athletes too. Therefore, the primary aim of this study was to examine the differences in athletes' sleep quality, quantity and training volumes during the social confinement due to the virus outbreak. For this purpose, a survey will be used. This variables will be evaluated in 3 different time frames: 1) May 2020; 2) September 2020; 3) January 2021.
Examine the safety and effectiveness of the Fisher Wallace Cranial Electrotherapy Stimulator Device (CES) for the treatment of insomnia characterized by difficulties with sleep maintenance using a 20-minute treatment right before bedtime.
The purpose of the study is to find out the effects of neighborhood disadvantage and sleep disparities contribute to racial disparities in cardiometabolic health and blood pressure in young adults.
Immune checkpoint inhibitors (ICIs) are a group of novel immunotherapies that boost the body's own defense against the cancer by improving the immune system's ability to recognize and destroy cancer cells. While it is relatively well-documented that conventional cancer treatments (e.g., chemotherapy) are associated with cognitive impairment, virtually nothing is yet known about effects on cognition during and after ICI treatment. Due to significantly improved survival rates after ICI treatments, it becomes important to map possible adverse effects associated with these treatments. The investigators therefore investigate possible changes in cognitive function in a group of cancer patients from prior to ICI treatment to nine months later. A gender- and age- matched healthy control group will serve as a comparison. The study has the potential to broaden our understanding of associations between cognition, the brain, and the immune system and to provide clinically relevant knowledge about possible cognitive impairments associated with immunotherapy.