View clinical trials related to Dyssomnias.
Filter by:Severe fatigue, depression, sleep problems and cognitive impairment are the most commonly reported side effects of cancer treatment. These aversive side effects are hypothesized to be related to the disruption of circadian rhythms associated with cancer and its treatment. Exposure to Bright White Light (BWL) has been found to synchronize the circadian activity rhythms but research with cancer patients has been scarce. Therefore, the proposed randomized control trial (RCT) will test if systematic light exposure (sLE) will minimize overall levels of cancer-related fatigue (CRF), depression, sleep problems and cognitive impairment among breast cancer patients undergoing breast cancer treatment (i.e., surgery, chemotherapy). SLE incorporates the delivery of harmless UV-protected BWL or Dim White Light (DWL - standard comparison in light studies) delivered to patients by using special glasses for 30 minutes each morning, during their treatment. The proposed study, including a delineated comparison condition, will investigate the effects of BWL on CRF, sleep, depression, cognition, circadian rhythms, and inflammation markers among patients undergoing breast cancer treatment. The proposed RCT could have major public health relevance as it will determine if an easy-to-deliver, inexpensive, and low patient burden intervention reduces common side effects (e.g., CRF, depression, cognitive impairment) of cancer treatment (i.e., surgery, chemotherapy). Aim 1 - Assess whether Bright White Light (BWL) compared with Dim White Light (DWL) among breast cancer patients undergoing breast cancer treatment will minimize overall levels of CRF, depression, sleep problems, and cognitive impairment during and after breast cancer treatment, compared to healthy controls. Aim 2 - Determine whether the BWL intervention affects cortisol rhythms, circadian activity rhythms, melatonin rhythms, and inflammation markers that have been identified as correlates/causes of cancer-related side effects (e.g., CRF, depression, sleep problems). Aim 3 - Exploratory: Explore whether the effects of BWL compared to DWL on the cancer-related side effects (e.g., CRF, cognitive impairment) are mediated by the beneficial effects of the BWL in synchronizing circadian rhythms. Aim 4 - Exploratory: Explore potential moderators of the intervention including seasonality, chronobiology, personality, and social factors.
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.
Objectives: To determine the effectiveness of a warm foot bath on sleep quality and comfort level among elderly individuals with sleep problems. Design and methods: This study was a randomized controlled trial. A total of 217 elderly individual who stayed in two nursing homes. The sample consisted of 60 elderly individuals with sleep problem who were randomly assigned to either the warm foot bath group (n= 30) and control group (n=30).The study was completed with 60 elderly individuals. The primary outcome was an information questionnaire, the Pittsburgh Sleep Quality Index, the General Comfort Questionnaire and the Numerical Rating Scale.
The purpose of this study is to investigate whether an empirically validated treatment for insomnia (CBT-I) administered early in the course of sleep disturbance can prevent insomnia disorder or lessen negative mental health outcomes in the wake of the COVID-19 crisis in adults.
The main goal is to study the effects of internet-delivered cognitive behavioural therapy with minimum guidance for comorbid sleep problems in alcohol use disorder, in routine addiction care.
Assisted living residents who have sleep disturbances are at great risk of developing cognitive impairments. The identification of factors that increase sleep problems in this population is the first step towards improving sleep disorders and reducing and/or delaying the occurrence of cognitive impairments in this population. Physical activity has been proposed to improve sleep quality in older individuals, but there is currently no scientific evidence of how sleep mediates the relationship between physical activity and cognition in assisted living residents. This is a cross-sectional study that investigates the relationship between sleep quality, functional/physical capacity, and cognitive performance. Participants will be recruited through a non-probabilistic sampling method (convenience) as this is a feasibility study that aims to identify, for the first time, sleep disorders in assisted living residents using objective measures of sleep. Sleep quality will be measured with polysomnography, actigraphy, and questionnaire. Functional and physical capacity will be assessed through walking tasks and actigraphy. Cognitive tasks will be used to assess memory. This study will bring new insights into the factors that affect the quality of life and sleep in assisted living residents. The evidence-based knowledge acquired on-site will be translated and shared with the local and global scientific community to raise awareness of the factors that contribute to increasing institutionalization and dependent living. Results obtained from objective and subjective measures of sleep will be of great importance to develop specialized clinical expertise and behavioral interventions that will meet residents' needs.
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.
This is a novel observational study with the overarching aim of evaluating the association between poor sleep health and poor quality of recovery in a surgical setting. It hopes to assess and optimize the perioperative sleep health of patients so significant improvements in their quality of recovery and health outcomes may be achieved.
Due to the COVID-19 global health pandemic, many people are likely experiencing increased stress. The well-being of physicians in training may be significantly impacted by this pandemic. Meditation is a self-management strategy that can be utilized by anyone to assist with the management of stress. Meditation mobile applications, such as the "Calm" app, can be used to help manage stress, especially during this uncertain time. The investigators propose a prospective evaluation of perceived stress, anxiety, burnout and sleep disturbance in the house staff at Banner University Medical Center Phoenix, with the use of the mobile meditation app, "Calm." The investigatros additionally want to evaluate the feasibility of using the mobile app, including looking at adherence to use of the app and physician satisfaction with use of the app.
The purpose of this study is to determine whether sleep disturbances in children aged 7 to 12 during COVID-19 containment are more prevalent in children who received routine psychiatric care before containment compared to children who don't have any psychiatric care.