View clinical trials related to Sleep.
Filter by:Pregnancy-associated sleep disorders are a common acute experience in pregnancy experienced by up to 82% of women. Sleep disorders are associated with increased risk for pre-eclampsia, gestational diabetes, longer labor, cesarean birth, and postpartum depression, and are higher among pregnant women of lower socioeconomic status. Traditional clinical management of sleep disorders in pregnancy includes education and counseling on sleep hygiene and sleep positioning, dietary modifications, relaxation, iron supplementation, weight management, and physical activity, yet education-based behavioral interventions show minimal effectiveness for improving sleep among pregnant women. These methods typically do not incorporate objective self-monitoring, which is an important behavior change technique. In pregnancy, objective self-monitoring on a day-to-day basis is particularly important as sleep disorders may worsen as pregnancy progresses. Computer-based personalized health monitoring (PHM) devices may serve as an effective tool with which pregnant women can self-manage sleep through incorporation of regular feedback. This strategy may be beneficial not only for women with pregnancy-associated sleep disorders but also for pregnant women with less severe sleep disruptions that experience daytime sleepiness, fatigue, and decreased quality of life. PHM devices have been used to promote weight loss, diet, and physical activity changes but no studies have specifically targeted sleep among pregnant women. The purpose of this pilot study is to establish the feasibility and acceptability of conducting a 12-week intervention for sleep self-management with pregnant women using a PHM device, in order to refine the intervention for a larger, randomized trial.
Patients over the age of 65 who are admitted to the Juravinski Hospital for treatment of hip fractures will be invited to take part in the study. An activity monitor (a Fitbit® Alta HR) will be attached to the participant post-operatively, to record quality of sleep and amount of activity for the duration of hospital stay. The time spent in hospital and whether complications or confusion develops will also be recorded. The aim is to determine whether poor sleep affects recovery after hip fracture surgery.
The purpose of the study is to examine the changes of sleep during weight loss and weight loss management. The research staff will also obtain data on sleep disturbances, insomnia symptoms, risk of sleep apnea, circadian preferences, weight loss self-efficacy, emotional eating, executive functioning, loneliness and social isolation, and patients' beliefs about how sleep might impact their weight control or vice versa.
It is well established that patients sleep poorly in the Intensive Care Unit (ICU), and excessive noise is considered to be a modifiable cause of this. Previous studies have tried to reduce ambient noise by educating staff and fixing noisy equipment. Other studies have tried to reduce the noise experienced by patients by supplying them with active noise cancelling headphones and earplugs. In this study we are combining Active Noise Cancelling headphones with white noise to try and reduce noise experienced by patients, with the aim of improving their sleep. Sleep deprivation is known to negatively impact health, and so improving sleep may improve patient outcomes as well as improve the patient's experience in critical care. The Investigators will screen all patients in the critical care wards in the Royal Infirmary of Edinburgh. Patients that are receiving ventilation, are delirious or have already been enrolled in the study will be excluded. After allowing patients to give informed consent, we will randomise them into one of two study groups: Study group A will receive standard care on the 1st night (no headphones), and will receive the intervention (active noise cancelling headphones with white noise) on the 2nd night. Study group B will receive the intervention on the 1st night, and will receive standard care on the 2nd night. All patients will wear a Xiaomi MiBand 2 wrist band, that tracks movement and sleep. Patients will fill in the Pittsburgh Sleep Quality Index at the beginning of the study to establish usual sleeping habits. Our primary outcome measure is the mean score on the Richard Campbell Sleep Questionnaire (RCSQ), which will be filled in by the patient the morning after each night. Our secondary outcome measure is the data from the wrist band, noise levels measured overnight, and patient experience of the intervention.
Sleep is a crucial factor for athletes' health and recovery. Many variables are able to negatively influence the sleep of top-level athletes, such as: anxiety, long travels, high volume or high-intensity training period, and a nigth competition too. Therefore, the aim of this pilot study is to evalute how sleep quality changes in relation to a late nigth competition in athletes.
To further understand the impact of acute sleep deprivation and recovery sleep on the processing of emotional information the investigators will address and attempt to answer three questions, (i) how both undisturbed sleep and sleep deprivation affect the processing and retrieval of emotional information, (ii) what neural and psychophysiological mechanisms are associated with these behavioral effects, and (iii) to explore the ability of recovery sleep to reverse the effects of sleep deprivation. Together, these studies will provide a greater breadth and depth of knowledge concerning sleep's role in emotion processing and regulation. Given the growing societal tendency to view sleep as unproductive-foregoing it to lengthen work days and increase social opportunities- such knowledge would be of practical importance for understanding the role of sleep in healthy emotional functioning, particular for individuals experiencing periods of increased stress and emotional distress (e.g., new parents, hospital staff, or combat troops).
Sleep disorders and disturbances are mostly underestimated in clinical practice. Moreover, this problem is generally neglected by the pregnant themselves. Today, it is important to underline any problem that may have an affect to improve the quality of life during pregnancy. This study assesses the sleep quality, insomnia patterns and obstructive sleep apnea in the second and third trimesters of pregnancy.
The present project is aimed to contribute with new knowledge concerning how light conditions in the physical environment can be manipulated to alter the sleep and circadian rhythms of individuals with an evening-type circadian rhythm. More precisely, the study will explore whether exposure to blue light (compared to a full spectrum light control condition) during the morning hours advance the circadian rhythms of evening-type individuals, towards that which is more similar to the daily rhythm of morning-type individuals. This study is important as it has been found that evening-type adolescents and adults are at higher risk of poor academic performance and demonstrate lower intellectual performance when tested at their nonoptimal early times of day, and given the fact that most schools and workplaces structure their working hours during such early hours of the day. Such an intervention could thus help evening-type individuals better adjust to the different early day requirements that they are exposed to. The project involves a three-day intervention where participants will be exposed to blue monochromatic light, administered through ceiling mounted light emitting diode (LED)-based room lighting, in the early hours of each morning for a duration of 60 min. The participants' sleep, circadian rhythm and waking function will be assessed both objectively and subjectively. The effects of the intervention are transferable to real life educational and work settings and can thus be applied in naturalistic settings. The intervention is based on the new laboratory infrastructure available at the sleep laboratory situated in Christies gate 12.
BACKGROUND: The influence of sleep extension on glucose homeostasis in adolescents at risk for type 2 diabetes is unknown. This issue is of high clinical relevance given the high prevalence of sleep deprivation in this population and the accumulating body of evidence indicating that having a good night's sleep is important for the prevention of chronic diseases including type 2 diabetes. OBJECTIVE: To determine if extending sleep duration improves insulin sensitivity in adolescents presenting with risk factors for type 2 diabetes. HYPOTHESIS: It was hypothesized that compared with decreasing sleep duration, increasing sleep duration by 1.5 hours over 1 week will improve insulin sensitivity. METHODS: Using a randomized, counterbalanced, 2-condition crossover design, 30 obese adolescents between 13 and 18 years of age who have insulin resistance will complete the study. Participants will sleep their typical amount at home for 1 week and will then be randomized to either increase or decrease their time in bed by 1.5 hours per night for 1 week, completing the alternate schedule on the fourth week (washout period of at least 1 week between sleep conditions). This procedure will result in a targeted 3-hour time in bed difference between conditions. Sleep will be objectively measured using actigraphy (Actiwatch) and sleep schedule adherence will be promoted by providing fixed bedtimes and wake times during the experimental weeks, and will be monitored through phone calls to the research center. Participants will also be compensated for keeping the sleep schedule and daily calls to enhance adherence. The outcome measures will then be compared between both sleep conditions at the end (on day 8 of each study week). The primary outcome measure will be insulin sensitivity as measured by the Matsuda index (total body insulin sensitivity). Secondary outcomes will include the homeostasis model assessment of insulin resistance (HOMA-IR), blood lipids, food intake and physical activity. Repeated measures analysis using the mixed model will be used to assess the effect of the two sleep interventions on insulin sensitivity. RELEVANCE: The study will provide the first robust clinical evidence to determine if increasing sleep duration in youth at risk for type 2 diabetes improves insulin sensitivity. This information will be essential for clinical and public health guidelines for type 2 diabetes prevention among adolescents.
This study aims to evaluate the accuracy of automated sleep analysis by the Dreem dry-EEG headband and deep learning algorithm in comparison to the consensus of 5 sleep technologists' manual scoring of a gold-standard clinical polysomnogram (PSG) record in healthy adult volunteers during an overnight clinic-based sleep study.