View clinical trials related to Insomnia.
Filter by:This clinical trial evaluates the effect of conversational agent, Cecebot, on improving insomnia in stage I-III breast cancer survivors. Sleep disturbance ranks among the top concerns reported by breast cancer survivors and is associated with poor quality of life. Many breast cancer survivors also have decreased physical activity, which may also have a negative impact on sleep and quality of life. Cognitive behavioral therapy for insomnia (CBTi) and physical activity interventions have individually been reported to improve sleep and to have a positive impact on quality of life. Cecebot is a personalized short messaging service (SMS)-based behavioral intervention that combines CBTi and physical activity strategies that may improve sleep for breast cancer survivors.
Improving maternal mental health is a worldwide health priority. Nevertheless, several scientific sources highlighted lack of empirical data which could drive clinical practice. The present project addresses psychobiological mechanisms leading to peripartum mental disorders. It focuses on one key risk factor for psychopathology, which is poor sleep continuity. The project aims to describe the link between maternal poor sleep quality and the cascade of events which may enhance vulnerability to stress and risk for mental disorders and to evaluate the efficacy of an online automated psychological prenatal intervention directed to sleep problems in preventing these negative outcomes.
The purpose of this study is to explore whether an implementation process composed of offering CR to staff in a single hospital nursing unit has any potential impact on unit-level quality measures post-implementation.
To compare the dosage requirement of intravenous anesthetics during digestive endoscopy between patients with insomnia and those with normal sleep pattern.
To establish a multicenter, multi-dimensional cohort on insomnia disorder and to develop an intelligent model for the diagnosis and treatment of insomnia disorder.
The Sleep Optimization for Brain Health Outcomes in Older Surgical Patients (SLEEP-BOOST) is a pilot randomized, controlled, singled-blinded (participant) trial in major orthopedic joint surgery patients that will build on a previously clinically tested cognitive behavioral therapy for insomnia (CBT-I) mobile application paired with a wearable device (wrist actigraphy).
This project is the second phase of a two-phased project investigating the impact of a proven sleep intervention, Cognitive Behavioral Therapy for Insomnia (CBT-I) on engagement of the emotion regulation brain network as a putative mechanistic target.
Insomnia is reported by more than 50% of patients with chronic pain. In this study, the investigators aim to advance the understanding of physiological sleep in individuals with chronic pain. To do this the investigators will monitor at-home sleep with an ear-EEG over 20 nights in patients with chronic pain and collect self-reported measures of sleep and pain. The collected data will be used to explore and characterize intra-individual variations in sleep metrics (e.g. total sleep time, time in each sleep stage (N1, N2, N3, REM), sleep latency, REM stage latency, wake after sleep onset, sleep efficiency, number of arousals and arousal index) over 20 nights.
In this randomized controlled experimental trial, it is aimed to determine the effectiveness of an osteopathic protocol treatment for insomnia in college students. In this study, will be used the Compression of 4th ventricle (CV4) and the diaphragmatic breathing technique.
The goal of this study is to learn if a smartwatch is effective to identify factors related to sleep quality and habits of adults (30 years old or more), enabling the improvement and/or creation of instruments to assess overall health status and sleep quality. The main question it aims to answer is: - Does the smartwatch application (software) indicate sleep habits and measure sleep quality in accordance to the standardized clinical instruments commonly used to assess sleep?