View clinical trials related to Parasomnias.
Filter by: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.
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.
Cancer and cancer treatment often lead patients and survivors to experience a host of chronic symptoms, of which sleep disturbances are a major concern. Smartphone-based meditation via an already-developed app (i.e., Calm) is a unique and novel way of providing a potentially helpful symptom-management strategy to cancer patients and survivors. Our hypothesis is that cancer patients/survivors using the Calm smartphone app for eight weeks will see improved sleep disturbance (primary outcome) as well as anxiety, depression, pain intensity, global health, quality of life, emotional regulation, and mindfulness when compared to a time and attention-matched health education podcast control group. Cancer patients/survivors (n=300) will be randomly assigned to an intervention or control group for eight weeks, with study outcome measurement occurring at baseline, post-intervention (i.e., week eight), and follow-up (i.e., week 20).
Due to the COVID-19 global health pandemic, many people are likely experiencing increased stress. Many obstetrics and gynecology patients are additionally experiencing increased stress due to the healthcare changes the COVID-19 pandemic has caused including delayed or canceled elective surgeries, visitor restrictions, and telemedicine visits instead of in person clinic visits. Mindfulness meditation is a self-management strategy that can be utilized by anyone to assist with the management of stress. Mindfulness 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 randomized controlled trial evaluating perceived stress, anxiety, and sleep disturbance in the investigators outpatient OB/Gyn patients at Banner Women's Institute, with the use of a 30 day trial of the mindfulness meditation app, "Calm." All patients would ultimately receive a 30 day free trial of the mobile meditation app, however the intervention group would receive the 30-day free trial immediately and the control group would receive the 30-day free trial after the study period which is 30 days after enrollment. The investigators additionally want to evaluate the feasibility of using the mobile app, including looking at adherence to use of the app and patient satisfaction with use of the app.
This study aims to compare the nighttime heartburn and sleep disturbance improvement effect of Tegoprazan 50mg and Eomeprazole 40mg in patients with ERD patients.
Inadequate sleep is an independent risk factor for metabolic abnormalities (such as obesity, insulin resistance, and hyperglycemia). Women report sleep disruption during the menopause transition (perimenopause) and into the postmenopausal years. Sleep disruption is one of the primary reasons why midlife women seek medical care, with up to 60% reporting significant sleep disturbances (e.g., trouble falling asleep, early morning waking, and hot flashes/night sweats). Despite the majority of women experiencing sleep disruption, no study has investigated the molecular mechanisms linking sleep disruption and the changes in metabolism that coincide with menopause.
This study was conducted as part of a collaboration between the Maccabi Health Fund and Bar Ilan University. Fibromyalgia is a chronic pain disorder, highly co-morbid with depression, stress, and anxiety. the investigators aim to examine the effect of group cognitive-behavioral therapy (CBT) and mindfulness-based intervention (MBI) among fibromyalgia patients. the investigators will also examine which intervention fits which patient, according to one's individual characteristics, in hope that this would enable Maccabi to offer personalized treatment. Furthermore, the investigators wish to identify the underlying cognitive and psychopathological mechanisms (measured during treatment) by which each intervention works.
The investigators performed a randomised controlled trial with 202 healthy university students in the Oslo area, with 50:50 in a yoga intervention group and a waitlist control group. Measures included symptoms of depression and anxiety, sleep problems, heart rate variability (HRV), well-being and mindfulness at week 0 (baseline), week 12 (post-intervention) and week 24 (follow-up).
Considering the known challenges facing newly graduated nurses, there are possibilities to implement preventive actions. The aim of the current study was to evaluate the effects of a preventive intervention among newly graduated nurses, supporting proactive strategies for sleep and recuperation in relation to work related stress and shift work.
The Research Hypothesis for the present pilot study in a special care setting is that in a population suffering of mild and recent sleep disorders the pre-sleep arousal measured by the Pre-Sleep Arousal Scale (PSAS) after 30 days of oral administration with a nutraceutical composed of hawthorn, lavender and hop (Sonidor®) shall significantly improve in comparison with the baseline condition.