View clinical trials related to Dyssomnias.
Filter by:The investigators designed an RCT aimed at 1) exploring the effectiveness of combining TC with rTMS for synergistically improving sleep disturbances in community-dwelling older adults, 2) investigating the mediating roles of arousal states as the underlying mechanism of the potential beneficial effects, and 3) evaluating the feasibility and safety to inform the clinical practice. The investigators hypothesized that integrating TC and rTMS can affect the different dimensions of the arousal system to improve sleep disturbances with optimized clinical outcomes.
Adolescents with type 1 diabetes (T1D) experience more disturbed sleep compared to their healthy peers, especially because they tend to spend less time in deep sleep, the most restoring part of sleep, potentially impacting diabetes management. Disturbed sleep may adversely affect diabetes management which requires day-to-day decision-making, emotional and behavioural regulation, attention, and planning. Despite a massive increase in new technology, more than 50% of adolescents do not reach their glycaemic target. Lack of sleep impairing diabetes management including blood glucose monitoring may play an important role in reaching the goal. For approximately 4000 children and adolescents in Denmark living with T1D, sleep disturbances may therefore account for short and long-term diabetes complications. Our overall aims are to investigate: (1) If and how glycaemic variability (GV) influences sleep quality and sleep stages and (2) if and how poor sleep quality influences time-in-range (TIR), time-above-range (TAR) and time-below-range (TBR) the following day.
Surgery causes poor sleep quality for several reasons eg. increasing stress hormonal production, pain, starvation, and environmental procedure namely noise, light, and nursing procedures. Poor sleep quality also brings numerous side effects including delirium, delayed recovery, and affect breastfeeding. We, therefore, aim to elucidate the incidence of poor sleep quality in parturients undergoing cesarean delivery in the early postoperative period and investigate the factors involving poor sleep conditions.
This study seeks to test whether auditory stimulation delivered at specific phases of the alpha oscillation (as measured by electroencephalogram) can accelerate sleep onset.
The purpose of this study is to know the effectiveness of an adapted therapeutic exercise program and its comparison with non-invasive neuromodulation through the NESA device, and both treatments with a control group, to improve sleep disturbances and cognitive function in patients with dementia, and improves the quality of life of their caregivers.
Literature supports that athletes have so many reasons for sleep disturbance in their day to day practice and during competition. This study is aimed to build familiarity with the significance of sleep for greatest athletic execution as well as providing Progressoive Muscle Relaxation(PMR),(A technique proposed by Jackobson to improve sleep and degrease the anxiety) as strategy to improve sleep prior to a significant competition during tournament
The investigators are conducting a randomised-controlled trial comparing coherent breathing at ~5.5 breath cycles per minute-bcpm (with equal inhalation/exhalation durations of ~5.5secs each) to a well-designed placebo (paced breathing at 12bcpm with equal inhalation/exhalation durations of 2.5secs each). The metric of 12bcpm is in line with guidance from the British Journal of Nursing, Royal College of Physicians, and Johns Hopkins University which state that the average, healthy bcpm should range from: 12-20bcpm, 12-18bcpm, and 12-16bcpm, respectively, hence the investigators chose the minimum/lower bound for the active placebo control group. The main questions that our study attempts to address are: Does coherent breathing (and placebo coherent breathing) lead to improved mental health and wellbeing in a general population adult sample? The study will be conducted entirely online through the research platform Prolific, so participant data will be anonymous. The investigators will collect self-reports of mental health and wellbeing before and after the four-week breathwork period, along with a follow-up one-month later. Pre-post intervention and follow-up questionnaires will be completed online via the survey platform Qualtrics which will be linked to Prolific. Participants will also be asked how many times they practiced out of the assigned 28 days, to gauge self-reported adherence to the protocol. The investigators can then observe whether self-reported adherence correlates with changes in mental health and wellbeing, if any. Data on the self-reported credibility/expectancy of the breathwork randomly allocated to participants will also be collected, along with open-ended responses on participants' overall experience of the protocol/study.
An Injury to the brain may lead to sleep-wake disturbances which may negatively influence functional recovery, quality of life and general rehabilitation. The purpose of this study is to investigate the effect of music listening on sleep disturbances after acquired brain injury (ABI). During a 2 week intervention period patients with ABI will listen to music for appr. 30 minutes before going to sleep. Records of their sleep quality are compared to records of sleep quality from 2 weeks without music intervention. H1 Hypothesis: Music listening (ML) improves sleep quality after ABI in patients. H0 Hypothesis: Music listening (ML) has no effect on sleep quality after ABI in patients.
This study will investigate the biological mechanisms linking sleep disruption by noise and the development of disease. In a laboratory sleep study, the investigators will play synthesised automotive tyre sounds, investigating how acoustical characteristics of tyre noise impact on sleep macrostructure, cardiometabolic profile and cognitive performance (continuous traffic flow or a few individual, but higher level, traffic pass-bys). The investigators will also measure objective sleep quality and quantity, cognitive performance across multiple domains, self-reported sleep and wellbeing outcomes, and blood samples. Blood samples will be analysed to identify metabolic changes in different nights. Identifying biomarkers that are impacted by sleep fragmentation will establish the currently unclear pathways by which chronic noise exposure at night can lead to the development of diseases in the long term, especially cardiometabolic disorders.
There is an unmet medical need for monitoring sleep for multiple nights in a patient's home, without the inconvenience of traveling and staying overnight in a medical center, and without the need for a technician to set up a polysomnography (PSG) device at the patient's home. Several disorders, and particularly sleep disorders, are associated with insomnia symptoms, and longitudinal sleep assessment may support a better understanding and management of these patients, who currently seldom access sleep lab PSG. On one hand, this study aims at demonstrating whether the final device's user interface supports safe and effective use when being used at home over multiple nights. On the other, the study aims at confirming that stable and consistent data are measured in the device's actual use, for the records to be clinically usable in daily practice.