View clinical trials related to Sleep Deprivation.
Filter by:The aim of this study is to assess the utility of sleep deprivation as a potential model for prediction of clinical efficacy using a combination of cognitive physiological endpoints.
BACKGROUND. Sleep deficiency (not getting enough sleep) is widespread in American adults and can lead to many harmful health outcomes such as a higher risk of obesity, heart disease, and diabetes. Sleep deficiency can also harm cognitive performance, which refers to one's awareness and thinking ability. Sleep deficiency and sleep-related health issues are of high interest among those who have irregular and/or extended work schedules, because such schedules can interfere with normal biological rhythms of sleepiness and wakefulness. PURPOSE. This study will examine the health and cognitive effects of work schedule and sleep patterns in caregivers (such as nurses, laboratory technicians, and non-clinical hospital staff). The investigators hypothesize that the nontraditional, irregular, and extended work hours common in these professions will have adverse health and cognitive effects. The purposes of this protocol are to: - Enroll caregivers into a one year cohort study on the relationships among work schedule, sleep, diet, chronic disease, and cognitive performance. (A cohort study follows a group of participants over time to see how different behaviors or risk factors affect health.) - Collect data from caregivers on work schedule, sleep, diet, chronic disease, and cognitive performance. - Give personalized information and feedback to caregivers about these health factors. - Educate caregivers about healthy diet and exercise choices. - Collect saliva from caregivers for future research on the role of genes in health. (Specimen collection for genetic testing will be offered as a separate option for study participants.) RECRUITMENT. This study will use the Let's Get Healthy! health research and education program (OHSU IRB #3694) as a platform for recruitment and data collection. Caregivers will be invited to participate in a Let's Get Healthy! event and will be given information prior to the event about the cohort study. At the Let's Get Healthy! event, caregivers will first consent to the anonymous research study (OHSU IRB #3694), in which demographic and health screening data are linked to a random number. Caregivers will then have the option to consent to a cohort study, in which data are no longer anonymous but instead linked to participants' names and contact information. PROCEDURES. This cohort study piggybacks on procedures already approved for the Let's Get Healthy! program (OHSU IRB #3694). Let's Get Healthy! is a study in which participants provide anonymous data at health fairs through any or all of the following manners: short computer surveys on cancer awareness, risk factors, and family history (with immediate feedback given on cancer risk and prevention); short computer surveys on diet and sleep patterns (with immediate printed feedback given); health screening measurements (blood pressure, height, weight, waist circumference, body mass index, body fat percentage); a finger stick to assess sugar and fat levels in blood; and a mouthwash swish to provide a saliva specimen. However, this cohort study (OHSU IRB #7542) will make the following changes and additions: - Personal health data, instead of being anonymous, will be linked to participants' names and contact information (for follow-up data collection). - Let's Get Healthy! events will include cognitive performance tests, a preventative-care survey, and a work schedule survey. - Participants will provide data not only at an initial Let's Get Healthy! event, but also at a follow-up event and during the time period between events. Between events, participants will do the surveys on work schedule, diet, and sleep, and they will complete cognitive performance tests. - There will be a separate consent process for participants to provide a fully identifiable saliva specimen. DATA ANALYSIS. Participants' health data will be fully identifiable at the time of data collection but will be coded and stored in a physically separate location from the identifiable information. The link between identifiable information and coded health information will be stored on a password protected computer, and all identifiable information will be deleted upon completion of data analyses. Data will be analyzed to explore relationships among work schedule, sleep, diet, body composition, metabolic health, chronic disease, and cognitive performance in caregivers. Genetic relationships with these factors will be analyzed in those who provided a saliva specimen during entry visit data collection.
Evidence suggests a relationship between sleep deprivation and cardiovascular disease. The investigators wish to determine whether 9 nights of modest sleep restriction results in activation of cardiovascular disease mechanisms, thus potentially increasing the risk of cardiovascular disease. The investigators hypothesize that sleep restriction will result in elevated blood pressure, inflammation, and neurocognitive deficits.
This study seeks to examine the effects of overnight noise reduction in critically ill patients who are receiving mechanical ventilation. The investigators will randomly place subjects into one of three groups: 1) usual care 2) overnight earplugs 3) overnight earplugs and noise-canceling headphones. The investigators will monitor for safety, and will measure the amount of delirium experienced by subjects, record the amount of sedating and painkilling medicines required, and measure sleep quality during the study, among other information. The investigators will also measure noise levels experienced by patients in each group. The investigators predict that the use of overnight noise reduction will be safe and will reduce the amount of delirium by improving the quality of sleep in critically ill patients.
Chronic sleep deprivation may constitute an important and potentially correctable behavioral factor in the alarming increase in obesity. There are no definitive experimental studies in humans showing whether sleep deprivation indeed contributes to increased energy intake and/or reduced energy expenditure. The investigators propose a series of novel studies to investigate abnormalities in energy homeostasis imparted by sleep deprivation. The investigators will measure food intake, energy expenditure (basal metabolic rate, thermal effect of food, and non-exercise activity thermogenesis), and neurohormone levels in 24 healthy subjects with normal BMI (20-25 kg/m2). Twelve subjects (6 men and 6 women) will be randomized to sleep deprivation. Measurements will be compared to those obtained in 12 subjects who are randomized to a control group, and are not sleep deprived. The investigators will test the following hypotheses: 1. That sleep deprivation results in positive energy balance (increased caloric intake and decreased energy expenditure, as reflected by decreased non-exercise activity thermogenesis). 2. That dysregulation of appetite and energy expenditure is associated with changes in molecules controlling appetite and metabolism. 3. That changes associated with 8 days of modest sleep deprivation resolve, at least in part, over a 4 day recovery period.
The study aimed to evaluate the effects of 24-Hour-Call-associated acute partial sleep deprivation on surgical residents` technical and cognitive performance in a virtual reality (VR) setting. Physiological parameters were used to quantify fatigue in respect to hours of sleep and subjective degrees of sleepiness. Technical performance and cognitive skills were assessed through low- and high fidelity tasks usig the VR- simulator LapSim. Objective alertness was measured by the standardized d2-Paper-Pencil-Test. Cited assessments were performed on three consecutive mornings- pre- and post-call as after 24 hours resting.
The goal of this project is to determine whether the sleep and circadian rhythms of critically ill patients undergoing mechanical ventilation can be improved through practical strategies that can be employed at the bedside.
The overall goal of the present application is to test the hypothesis that shift workers, who are chronically exposed to circadian misalignment and sleep loss, have a higher cardio-metabolic risk than day workers, and that the accumulated sleep debt and the degree of circadian misalignment both predict their elevated cardio-metabolic risk.
Introduction: Alzheimer's disease (AD) is characterized by neurodegeneration of the brain in the form of neurofibrillary tangles and plaques containing the amyloid-beta protein (Abeta). Recent animal studies have shown that extended wakefulness is associated with increased production of these Abeta proteins and that sleep leads to a marked fall in their production. Aim: The investigators aim to distinguish a similar effect of sleep disturbance on cerebrospinal fluid (CSF) Abeta levels in humans, which may point out sleep disturbance as an important factor in AD development. Methods: a study in 26 healthy male volunteers, measuring CSF Abeta levels during a sleep deprivation night and before and after a control night with unrestricted sleep. Expected results: The investigators expect sleep deprivation to lead to an increase in CSF Abeta levels, as compared to the levels in the control night.
Sleep deprivation can acutely reverse depressive symptoms in patients with major depression. Although underlying mechanisms of the antidepressant action in sleep deprivation are unclear, many of these observations can be explained by abnormal slow wave homeostasis. This study will test the prediction that selectively reducing slow waves during sleep (slow wave deprivation; SWD), without disrupting total sleep time, will yield an antidepressant effect.