Active clinical trials for "Sleep Deprivation"

This study evaluates the acceptability, feasibility, and efficacy of an intervention using wearable sensors and a mHealth application, SOmNI, to promote sleep for adolescents. The investigators hypothesize that a behavioural intervention delivered through a mobile app will be a cost-effective and accessible method of engaging adolescents in the self-management of sleep behaviours. Participants will be randomized to either the SOmNI Intervention group or the Control group. Participants receiving the SOmNI app will attempt to incrementally move their school night bedtime earlier in the evening.

A feasibility study to evaluate the use of white noise to improve sleeping conditions in an ICU setting.

Nocturia is prevalent in older adults and it vastly reduces quality of life. Yet its treatment remains inadequate because its causes are not well understood, especially nocturnal polyuria or increased urine production at night. This study, which builds on the investigators' ongoing research, would be the first of its kind to explore the role of sleep in nighttime urine production. The findings will contribute important knowledge to guide development of better targeted and more effective therapy for this prevalent and morbid condition.

Sleep deprivation impacts performance of shift workers in health care. Anesthesiologists are a population at risk that endures stressful situations and changing working hours. The decreased performance could be the cause for undesirable events. Power-napping is known to be an efficient technique to mitigate the detrimental effects of sleep deprivation and is a feasible measure to implement in critical care units. Still there are few insights that measure the clinical relevance in the field. With the high-fidelity simulations this study is able to measure clinical performance and test for those effects. Therefore we propose a prospective, monocentric study to evaluate a power-napping protocol (less than 30min)

This study plans to explore whether specially chosen relaxing music can help improve sleep, reduce stress, and prevent burnout in healthcare workers, many of whom are often sleep-deprived. The researchers will measure changes in brain activity, sleep patterns, and self-reported stress levels before, during, and after participants listen to this music. The novel approach includes using advanced brain scanning technology, sleep monitoring devices, and carefully selected music. Ultimately, the aim is to create a scientifically backed music intervention that can be used widely to help healthcare providers get better sleep and manage stress, potentially reducing burnout rates.

This study aims to investigate the impact of menopause-related sleep fragmentation on metabolic biomarkers of body fat gain. The investigators hypothesize that experimental sleep fragmentation will result in an adverse leptin response as a metabolic biomarker for body fat gain.

Fifty healthy, young participants (10 male, 40 female) completed two 3-hour study sessions that were at least five days apart. The first session was a baseline. The sleep intervention took place on the night prior to Session 2, where the amount of time in bed was manipulated to be 60-130% of the individual's habitual sleep time. Within both sessions, subjective (Stanford Sleepiness Scale, SSS) and objective (Psychomotor Vigilance Test, PVT) alertness were measured. During the middle of each session, a 40-minute ad libitum meal opportunity allowed participants to eat from eight different food items. Food healthfulness, caloric density, distribution and number of calories were measured and compared to alertness levels.

The use of sugar and starch-like foods for energy (carbohydrate metabolism) changes when people sleep. However, it is still not known if differences in the amount of nighttime sleep have an effect on the carbohydrate metabolism of people who have a relative with type 2 diabetes (parent, sibling, or grandparent). This study is being done to test the hypothesis that the carbohydrate metabolism of people who have a history of type 2 diabetes in their family will be different after they have slept short hours for 10 days in comparison to when they have slept longer hours for 10 days.

This proposed laboratory study will extend previous findings on relationships between cognitive function and nutritional status to conditions that more closely resemble military operations where aerobic exercise, inadequate nutritional intake and sleep deprivation combine to degrade cognitive function. The investigators will examine cognitive function, brain activity and glucose levels in volunteers who are calorie-deprived, performing high workload cognitive tests, exercising and, in one arm of the study, are sleep-deprived for approximately 48 hours. A comprehensive cognitive test battery will be repeatedly administered and several cognitive tests will be administered when volunteers are exercising. Interstitial glucose levels will be assessed and whole body nitrogen utilization determined. The effects of energy restriction and the physiological basis of the relationship between peripheral glucose levels and cognitive function will be examined using a state-of-the-art imaging technology, functional Magnetic Resonance Imaging (fMRI). This technique will allow any key brain regions affected by caloric deprivation to be identified.

The purpose of the present study is to evaluate the effect of partial and complete sleep deprivation on exercise heat tolerance. Twelve healthy young male volunteers will participate in the study. They will arrive to our lab four times, in each visit the will undergo VO2 test and Heat Tolerance Test (HTT) after sleeping different amount of hours.