Active clinical trials for "Sleep Deprivation"

This project investigated how glucose metabolism differs due to sleep deprivation for three consecutive nights as compared to sufficient sleep for three nights by examining concentrations of glucose, insulin, and other factors involved in glucose metabolism.

Our research question is: Are changes in sleep duration that occur naturally over school holidays associated with changes in blood pressure (BP) in sleep-deprived adolescents? In this study, the investigators will take advantage of changes in sleep duration that occur during school holidays in adolescents who are sleep deprived (>6 months' history of sleeping <8 hours per night during school term). The investigators will monitor the changes in ambulatory BP and sleep duration over a period of 3 weeks which consist of a week at school, followed by a week of holiday when natural sleep extension takes place, and then another week of school after the holiday. Sleep-wake cycle will be recorded throughout the whole study period with actigraphy and sleep diary. Twenty-four hour ambulatory BP monitoring will be performed on the same weekday during each study week, when salivary cortisol will also be collected. The primary outcome measure is the difference in ambulatory BP parameters between school term and holiday. A control group without sleep deprivation (history of sleeping >8 hours per night) will also be studied concurrently It is hypothesized that changes in sleep duration are negatively associated with changes in BP. If this study confirms our hypothesis, sleep extension can be used as a relatively inexpensive and simple behavioural intervention in the management and prevention of blood pressure abnormalities. More importantly positive results from this project will provide background information on which government and local school policy can be based and altered for the betterment of our youths.

This research study will use magnetic resonance imaging (MRI) and olfactory stimuli to better understand the connection between sleep deprivation, brain activity, and olfaction in humans.

Sleep is an essential biological process for life and great value to functions such as learning, memory processing , cell and brain repair. Recently, new evidence points to the relationship between lack of sleep and carbohydrate metabolism , establishing a framework for insulin resistance observed in studies with restriction and sleep deprivation on several nights and in a single night . To reverse this process , one of the most effective strategies is physical exercise and part listed in the literature as a non-pharmacological tool for prevention and health promotion , as well as in the treatment of some diseases . However , the pace of modern society causes people to practice less physical exercise , lack of time being the main reason . In this scenario, the High Intensity Interval Training ( HIIT ) emerges as a powerful strategy that induces major changes optimizing the time spent on such activity. Considering the benefits of this mode , the purpose of this study is to investigate the effects of high-intensity interval training in the context of insulin resistance observed during sleep deprivation. Will be recruited 20 male volunteers, aged between 18 and 35 years old, healthy, with normal sleep duration equivalent to 7-8 hours / night, not smoking and regular eating habits. They will be submitted to a protocol of 6 sessions of high-intensity interval training for two weeks, and since the end period, sleep normally, or be deprived of sleep for 24 hours. Biochemical (thyroid hormones, cortisol, glucagon, free fatty acid, cholesterol, glucose and insulin) will be undertaken as well as evaluation of body composition by plethysmography, basal metabolic rate by indirect calorimetry and insulin sensitivity through Oral Glucose Tolerance Test (OGTT) before and after the training period.

The purpose of this study is to monitor sleep in patients using breathing machines, because little is known about sleep when patients use masks to help their breathing. We'd like to compare sleep in patients using masks to that in patients with a tube in their throats.

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.

This study will evaluate how the state of being completely deprived of sleep has an effect on recordings of magnetoencephalography (MEG) and electroencephalography (EEG), in relation to how alert someone is and how sleepy someone perceives himself or herself to be. EEG measures electronic potential differences on the scalp. On the other hand, MEG is a non-invasive technique for recording the activity of neurons in the brain, through recording of magnetic fields caused by synchronized neural currents. It has the ability to detect seizures. Because magnetic signals of the brain vary, this technique must balance two key problems: weakness of the signal and strength of the noise. The EEG is sensitive to extra-cellular volume currents, whereas the MEG primarily registers intra-cellular currents. Because electrical fields are quite dependent on the conductive properties of the tissues, and magnetic fields are significantly less distorted by tissue, the MEG has better spatial resolution. There is a great deal of evidence that EEG and MEG provide complementary data about underlying currents of ions. The complex relationship of sleep and epilepsy is well known. Sleep has been used for many years as a powerful EEG activator. Many researchers have supported the hypothesis that there is a specific activating effect of sleep deprivation on epileptic discharges. Sleep deprivation is defined as a sleepless state of longer than 24 hours. The increased use of MEG in diagnosis could improve the procedure for evaluating patients before surgery for epilepsy, by making invasive studies less necessary. Patients 18 years of age or older, with a diagnosis of epilepsy and with a documented last routine EEG (at least 2 weeks earlier) and routine EEG on the day of a baseline MEG-EEG without interictal epileptiform discharges (IEDs) may be eligible for this study. Participants will be rated according to the Epworth, Stanford, and Karolinska Sleepiness Scales, to determine their subjective sleepiness. They will be randomly assigned to stay awake all night or sleep in the hospital overnight. That is, a sleep deprivation and non-sleep deprivation synchronized MEG-EEG recording will be performed in random order. Then the sequence of sleep deprivation and non-sleep deprivation will be reversed within 14 to 21 days. During the recordings, the patient will either sit or lie with his or her head in a helmet covering the entire head, with openings for the eyes and ears. Brain magnetic fields will be recorded with a 275-channel OMEGA system. Throughout the session, visual and two-way audio communication will be maintained with the patient. Recording sessions will last 90 to 180 minutes, with the patient allowed to take breaks after at least 10 minutes in a scanner. Attempts will be made to encourage patients to stay awake and sleep for about the same amount of time during each recording, to acquire comparable amounts of sleep and awake recordings.

The purpose of this study is to change the concentration of amyloid-beta in human cerebrospinal fluid (CSF) through modulation of the sleep-wake cycle.

This study is designed to test the effect of an explanation about the first sleep following trauma exposure, on the development of Post Traumatic Stress Disorder (PTSD) in the months following the traumatic event.

The purpose of this study is to test the hypothesis that sleep and performance depend on length of time awake, length of time asleep, the amount of sleep over several sleep episodes, and circadian phase.