View clinical trials related to Sleep Deprivation.
Filter by:The investigators proposed that gabapentin will increase slow-wave sleep in adult critically ill patients. Increasing slow-wave sleep will improve the patients' outcomes (shortening ICU length of stay, improving ventilator free days, increasing delirium free days) in critically ill patients, a university hospital, Thailand.
Very premature birth and the necessary hospitalization expose to a risk of morbidity and mortality which impacts the neurodevelopmental prognosis. Sleep and behavior monitoring have not been developed in the neonatal units. This has to be improved since it is known from clinical and animal studies that the quality, organization and quantity of sleep in very preterm infants impact neurological development and brain plasticity. The collection system provide neonatal care nurse with access to motion curves (evaluated by signal processing of live video) and real-time infrared video (also available in low-light conditions). This new non-invasive technology allows an evaluation of the activity cycles of the newborn by the caregivers which until now was only accessible occasionally by short recordings of actigraphy or polysomnography. The investigators wish to demonstrate that this can contribute to an organization of care that respects the sleep patterns of the newborn, which they know to condition the neurodevelopmental prognosis.
Background: There are still many gaps in research concerning the effect of different physical training modalities on sleep deprivation in the population with different types of sleep apnea. Aims: The purpose of this study was to examine the effect of moderate-intensity interval training (MITT) on patients with different types of sleep apnea.
Investigators will recruit up to 100 families (children aged 8-12 years and their primary caregivers) from the Philadelphia-area Beds for Kids charity program, which provides beds, bedding, and sleep education to lower-socioeconomic status (SES) children. The primary objective of this randomized controlled trial is to determine whether bed provision combined with provider-delivered sleep health education can improve sleep in children participating in the Beds for Kids program.
Insufficient sleep is associated with an increased risk for cardiovascular disease. The causal mechanisms are currently unknown, but may include endothelial dysfunction. The purpose of this study is to examine the influence of sex and aging on the effects of total sleep deprivation on vascular function and whether exercise training attenuates these effects.
It has been proved that lithium carbonate can prolong slow wave sleep with few or no side-effects. The aim of the present study is to evaluate postoperative sleep quality of patients undergoing video assisted thoracic surgery taken 250mg lithium carbonate 6 hours after surgery.
Deviant peer affiliation is one of the most important predictors of alcohol use in adolescence. These affiliations arise when socially marginalized youth self-aggregate and reinforce alcohol use and other deviant activity (i.e., "deviant peer clustering"). Existing efficacious school-based prevention programs generally have small effects and can be difficult to disseminate with fidelity and challenging to sustain due to complex designs and significant time-and-money expenditures required for materials and training. Existing school-based prevention programs have not provided compelling value to schools, which has limited their dissemination. The investigators found significantly lower rates of deviant peer affiliation and alcohol/tobacco use and moderate-to-strong suppressive effects on bullying, victimization, stress, and emotional problems, and strong positive effects on student engagement, achievement, and social-emotional skills in peer-learning intervention schools compared to control schools. However, teachers in intervention schools faced challenges implementing peer learning, including: (1) design fidelity: ensuring that peer learning provided the most positive student experience by including all the essential design elements; and, (2) instructional support: managing the flow and timing of the activities to complete the lesson on time while dealing with unexpected disruptions. Investigators developed an initial version of a mobile software application (PeerLearning.net) that provided easy-to-use organizational templates with workflow support that teachers used to automate the design and delivery of peer learning lessons. In this cluster randomized trial of the app, the investigators will use a sample of middle and high schools and conduct pre/post student assessments of peer relations, alcohol/drug use, antisocial/prosocial behavior, and social-emotional skills. They will also collect information on stress, bullying/victimization and related outcomes, including sleep quality and mental health. Investigators will also collect data on the frequency of lesson delivery with the app by teacher and school to assess dosage, which will be incorporated into our analyses. The investigators hypothesize that use of PeerLearning.net will have significant suppressive effects on alcohol use and related outcomes (i.e., tobacco/marijuana use, antisocial behavior, bullying, emotional problems) and promote increased levels of social-emotional skills and prosocial behavior. The investigators hypothesize that these results will be moderated by dosage (i.e., use of the app), such that greater usage yields larger effects.
Investigators will enroll up to 120 parent-child dyads from Children's Hospital of Philadelphia (CHOP) urban primary care clinics. The primary objective of this randomized clinical trial is to determine the whether the Sleep Well! behavioral sleep intervention is feasible and acceptable to families. The investigators will also examine the direction and magnitude in any change in child sleep and child behavior.
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.
Sleep deprivation (SD) has a powerful degrading effect on cognitive performance, particularly psychomotor vigilance (PV) and reaction time. Caffeine is well known to be an effective countermeasure to the effects of SD. However, individuals differ in both their response to SD and to the administration of caffeine. This has made it difficult to provide individualized recommendations regarding the use of caffeine to sustain alertness when needed. For the past two decades, the Army's Biotechnology HPC Institute (BHSAI), in collaboration with the Walter Reed Army Institute of Research, have been developing statistical models to predict individual performance during prolonged SD. Recently, this resulted in the publication of the 2B-Alert app, a computer algorithm based on large datasets that can learn an individual's response to SD by combining actigraphic sleep data with simultaneously acquired PV performance data. The 2B-Alert algorithm can predict an individual's sleep need and performance after ~2 weeks of training the model. Recently, the model has been extended to incorporate individualized responses to caffeine. This was recently validated in a retrospective study published by BHSAI in 2019. The present study is designed to test the predictive capacity of the 2B-Alert app in real time. During Phase 1 a total of 21 healthy participants will wear an actigraph & complete multiple daily PV tests on a personal cell phone. After 2 weeks, these individuals will attend Phase 2 involving an in-laboratory stay & SD. Participants will have an 8-hour period of sleep in the laboratory, followed by 62 hours of continuous wakefulness. During these 62 hours, participants will complete PV and mood testing every 3 hours. The 2B-Alert app will be used to predict individual caffeine need to sustain performance at near-baseline levels based on the statistical model. At 44 hours SD, participants will undergo a 6-hour "alertness window" where they may receive individualized doses of caffeine based on the recommendations of the model. After 62 hours of SD, Phase 3 begins, involving a night of monitored recovery sleep and additional sessions of PV and mood testing until release from the study at 6 pm on the final day. It is hypothesized that the 2B-Alert app will be effective at providing caffeine dosing recommendations that return PV and mood performance to normal levels during the alertness window.