View clinical trials related to Sleep.
Filter by:Investigators seek to determine if a mobile health based intervention can be developed to target increases in childhood sleep duration.
In this multicentric controlled study, we aims to evaluate effect of caffeine on mental performances during a sleep deprivation protocol. Genetic polymorphisms are considered as a covariable.
Despite advancements in care, most adolescents with T1D have higher BMI and significantly higher HbA1c than recommended and are markedly IR, placing them at increased risk for CVD1,2. Thus, alternative approaches to improve and maintain glycemic control, IR, and BMI for adolescents with T1D are urgently needed. This proposal moves beyond the current insulin and carbohydrate counting-focused lifestyle change paradigm to focus on sleep and circadian misalignment, which will allow for identification of new mechanisms that can be directly translated into future intervention and prevention trials. The goal of the current study is to utilize multiple objective measures of sleep duration, timing (actigraphy), and circadian rhythm (melatonin) in adolescents with type 1 diabetes (T1D; N = 40) and examine relationships with glycemic control, IR, vascular health, and BMI. Further, qualitative methodology will be used to identify barriers and facilitators to healthy sleep in adolescents with T1D.
Randomized control trial assessing supplemental melatonin for youth with at-risk or psychotic symptoms.
The investigators propose to deliver a 4-week sleep extension intervention to adolescents to evaluate feasibility of the protocol and obtain preliminary data on intra-individual changes in metabolic parameters induced by sleep extension.
The investigators hypothesize that wearing bilateral therapeutic vibrating devices before bed will result in positive changes in outcome measures related to sleep (e.g., sleep efficiency) in children who are sensitive to stimuli in their environment (aka sensory over responsiveness or SOR).
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.