View clinical trials related to Sleep Fragmentation.
Filter by:Many pregnant women suffer from poor sleep quality and snoring. Evidence shows an increasing association between (1) sleep disordered breathing and (2) maternal cardiovascular disease and in-hospital death. Snoring is a variant of obstructive sleep apnea (OSA) and OSA during pregnancy is associated with higher risks for cesarean delivery, gestational hypertension, preeclampsia and preterm delivery. It may also impact fetal outcomes negatively. The purpose of this study is to determine whether sleep quality can be improved in pregnant women who snore by means of an oral appliance that opens the airway. Sleep quality is evaluated objectively using an un-intrusive home sleep test system.
This intervention study will investigate the effect of therapy light rooms on sleep, circadian rhythms, mood, behavioural problems and function in nursing home (NH) patients with dementia.
The role of sleep in patients admitted to the intensive care unit is an emerging field of research. There have been studies that show patients in the ICU have poor sleep including sleep fragmentation, multiple arousals, decreased stage 3 sleep and reduced REM sleep (1, 2, 3). Causes of poor sleep in the ICU include severity of illness, abnormal light exposure, and frequent arousals for medical care. Not only does poor sleep contribute to reduced cognitive function and delirium, but there are also implications for the immune system function and wound healing (4). Polysomnography is regarded as the gold standard for sleep studies, however it has limited utility in the ICU population (5) and alternative methods of sleep analysis need to be investigated to better understand the underlying physiologic mechanisms and subsequent cognitive effects.
The investigators want to validate the Sleep Diversity Index as a diagnosis tool of sleep fragmentation on 405 patients who will perform a polysomnography under spontaneous breathing.
The purpose of the study is to determine the precision of an unobtrusive sleep measurement system. The system measures a force sensor signal under the mattress and analyzes sleep quality. The system measures: time in bed, sleep stages, sleep fragmentation, heart rate, respiration rate, sleep related breathing disorders, and limb movements.
This study seeks to examine the effects of overnight noise reduction in critically ill patients who are receiving mechanical ventilation. The investigators will randomly place subjects into one of three groups: 1) usual care 2) overnight earplugs 3) overnight earplugs and noise-canceling headphones. The investigators will monitor for safety, and will measure the amount of delirium experienced by subjects, record the amount of sedating and painkilling medicines required, and measure sleep quality during the study, among other information. The investigators will also measure noise levels experienced by patients in each group. The investigators predict that the use of overnight noise reduction will be safe and will reduce the amount of delirium by improving the quality of sleep in critically ill patients.
The overall goal of this research is to elucidate how environmental, healthcare, and patient-level factors and patients' level of perceived control impact sleep duration and quality in hospitalized older patients and to assess whether better in-hospital sleep is associated with improved physical activity and health outcomes. We hypothesize that environment, healthcare disruptions and patient symptoms will be significantly associated with objective and subjective sleep duration and sleep quality in hospitalized older patients. We also hypothesize that a high level of perceived control will be associated with improved sleep duration and quality in hospitalized older patients. We further hypothesize that shorter sleep duration and quality in hospitalized older adults will be associated with adverse health outcomes, namely higher blood pressure and blood sugar.