Sleep Disturbance

This study seeks to evaluate the utility and efficacy of the Non-Contact Sleep Quality Monitor System when used to monitor the sleep quality of individuals living in long-term care (LTC) with either Alzheimer's Disease (AD) or Alzheimer's Disease Related Dementia (ADRD). This before-after comparison trial will be conducted in several LTC facilities to evaluate the effect access to System Sleep Quality Data has on documentation of sleep disorders or treatments and sleep quality change over time for AD/ADRD participants in the intervention group as compared to the control group. All subjects will undergo sleep quality monitoring for 4-weeks. At the end of the first 2-weeks, research staff and LTC facility staff and medical providers will receive access to sleep monitoring data. We hypothesize that when real-time System Sleep Data is shared with LTC staff or healthcare providers, that sleep disturbances will be more readily detected, leading to timelier, better tailored treatment interventions for sleep disturbances, thereby improving sleep quality and decreasing daytime physical inactivity.

Insomnia is one of the most common sleep disorders and affects approximately 10 - 40% of the population across different age groups in Hong Kong. Cognitive behavioral therapy for insomnia (CBT-I) is the first line treatment for adult insomnia due to its comparable effect to medication in short term but is more sustainable in the long run. However, only a few sufferers have received CBT-I, due to limited accessibility, lack of trained sleep therapists, time costing and geographical limitations. To increase CBT-I accessibility, different formats of CBT-I have been proposed. Empirical evidence including ours consistently suggested that self-help digital CBT-I is effective in improving sleep while its augmentation with a guided approach could further enhance the treatment gain. Previous evidence has suggested that although self-help CBT-I could lead to positive outcomes, the drop out rate is quite high and maybe less effective for patients with comorbidity or high level of distress. Thus, a stepped-care approach to CBT-I that utilizes online self help and therapist-guided modes of delivery might be a potential way to facilitate efficient dissemination of effective insomnia treatment resources. The effectiveness of the stepped care model will be evaluated in a real world setting using stepped-wedge cluster randomized controlled design. The program will be rolled out to different districts in Hong Kong sequentially in 18 districts over 4 steps with a eqaully spaced time periods.

Newly graduated nurses often experience high levels of psychological stress, sleep disturbance, fatigue, and burnout during the early transition into clinical practice. Early identification of burnout and retention risk may help improve mental well-being, workforce stability, and quality of patient care. This longitudinal observational study aims to develop a non-invasive sleep-based prediction platform for assessing burnout and retention risk among postgraduate nurses. Participants will undergo repeated psychological assessments and non-contact sleep monitoring during the study period. Sleep-related physiological parameters, including sleep efficiency, sleep structure, heart rate variability, and respiratory variability, will be collected together with validated psychological questionnaires. The study will further apply machine learning and artificial intelligence approaches to integrate longitudinal physiological and psychological data for risk prediction and early identification of burnout-related conditions. The findings may support future development of precision mental health monitoring and supportive management strategies for high-stress healthcare workers.

Chronic pain is a common condition that can affect sleep, daily functioning, and overall quality of life. Many individuals living with chronic pain seek non-medication approaches to help manage their symptoms. Weighted blankets are commonly used to promote relaxation and comfort during sleep, but there is limited research examining their potential role in supporting people with chronic pain. This pilot study will explore the experiences of adults with chronic pain who use a weighted blanket during sleep. The study aims to better understand whether nightly use of a weighted blanket may be associated with changes in pain, sleep, and daily functioning. Findings from this study will help inform future research on non-medication approaches to managing chronic pain. Approximately 44 adults with chronic pain will participate in the study. Participation will last about five weeks. After completing a virtual enrollment visit and baseline questionnaires, participants will receive a weighted blanket sized to approximately 10 percent of their body weight. Participants will first complete a 7-day adjustment period using the blanket while sleeping. If they tolerate the blanket and use it nightly during this period, they will continue into a 4-week study phase in which they will use the weighted blanket each night. During the study, participants will complete brief online surveys about their experiences and adherence to using the blanket. Pain and quality-of-life questionnaires will be completed at multiple time points, including at the start and end of the study. Participants will also provide feedback about their experience using the weighted blanket. Results from this pilot study will help researchers better understand how weighted blankets may be used by adults with chronic pain and may help guide the design of future studies evaluating non-pharmacologic approaches to pain management.

To investigate the effect of trazodone on sleep, hippocampal-dependent memory and hippocampal excitability. The investigators hypothesize that trazodone will improve total sleep time and proportion of time in Slow Wave Sleep (SWS).

Radicle Energy VBMTM: A randomized, double-blind, placebo- controlled direct-to-consumer study assessing the impact of health and wellness products on fatigue and related health outcomes.

This protocol focuses on the effect of sleep interventions on improving sleep and building cognitive/brain resilience in older adults with amnestic mild cognitive impairment and sleep disturbance. Two sleep interventions, cognitive behavioral therapy for insomnia (CBTI) and acoustic slow-wave activity enhancement (SWAE), will be utilized in a pilot randomized clinical trial in which participants are randomized to different treatment groups (CBTI or SWAE). Participants will be assessed over a 6-month period in order to examine the impact of sleep treatments on neuropsychological outcomes and cognitively mediated everyday functioning.

This randomized controlled trial aims to investigate the effect of combined Progressive Muscle Relaxation (PMR) and Diaphragmatic Breathing (DB) techniques on sleep disturbances among patients receiving chemotherapy. Sleep disturbances are common among cancer patients undergoing chemotherapy and may negatively affect physical recovery, emotional well-being, and quality of life. Participants will be randomly assigned to either an intervention group receiving PMR and DB training in addition to routine care or a control group receiving routine care alone. Sleep outcomes will be assessed using the Pittsburgh Sleep Quality Index (PSQI), sleep diary records, and wearable sleep monitoring devices. The study seeks to determine whether the combined intervention can improve sleep quality and reduce sleep-related problems in chemotherapy patients.

The goal of this clinical trial is to adapt a sleep intervention for individuals representative of all demographic groups, including those who are at the highest risk for suicidal behavior. Sleep difficulties are a promising target for youth with suicidal thoughts and behavior to focus on as a prevention measure. We aim to increase intervention acceptability and impact by adapting it for the adolescent populations at highest risk for suicidal thoughts and behavior. The research project will compare Transdiagnostic Sleep and Circadian Intervention (TranS-C), an evidence based, modularized intervention that targets a range of sleep difficulties to a treatment as usual or control condition including providing weekly sleep feedback reports from data entered into a daily sleep diary and from wearing a sleep sensing, actigraphy watch. Participants in both conditions (TranS-C vs. Sleep Feedback) will wear an actigraphy sleep watch that monitors sleep, and complete daily sleep diaries via smartphone or email. Participants in the TranS-C condition will also wear bright light (BL) and blue blocking glasses each day as well as attend weekly or biweekly sessions with a Sleep Therapist. The sleep therapist will review sleep feedback during sessions.

This randomized, sham-controlled trial aims to evaluate the effects of self-administered acupressure on social jet lag, sleep patterns, and sleep quality in female health sciences students. Participants will be randomly assigned to either a self-acupressure intervention group or a sham self-acupressure control group. The intervention will be performed daily for 12 weeks. Outcomes will be assessed at baseline and at the end of the intervention period, with the primary outcome being the change in social jet lag. Secondary outcomes include changes in sleep quality, daytime sleepiness, and participant blinding assessment.

The goal of this clinical trial is to learn if the culturally adapted couples sleep health intervention (Nuestro Sueno) improves positive airway pressure use and sleep among Hispanic couples in which one partner was diagnosed with sleep apnea and starting positive airway pressure treatment. The main questions are: 1. Does Nuestro sueno improve the patient's positive airway pressure use over the first 3 months of using it compared to an information control? 2. Does Nuestro sueno improve sleep quality for both the patient and partner, compared to an information control? 3. Does Nuestro sueno improve other aspects of life including quality of life and memory, compared to an information control?

The NeuroFinance Human Stress Trial (NFHST-2026-001) is a decentralized observational clinical study designed to evaluate how financial market volatility, economic uncertainty, digital media exposure, and information-driven stress environments affect human physiologic and behavioral health. Participants will undergo remote monitoring using wearable biosensors, cardiovascular telemetry devices, sleep tracking systems, heart rate variability monitoring, and behavioral analytics platforms. The study will use artificial intelligence and machine learning systems to analyze relationships between external financial and informational events and biologic stress responses, including autonomic nervous system activity, sleep disruption, cardiovascular strain, emotional resilience, and inflammatory signaling. The goal of the study is to develop predictive digital biomarkers and AI-assisted forecasting systems capable of identifying stress-related physiologic deterioration before clinical manifestation.

The goal of this interventional study is to develop a in person nurse-led Brief Behavioral Treatment for Insomnia (BBT-I) intervention integrated with a chatbot and evaluate its effects on sleep disturbance, anxiety, depression, and fatigue among community-dwelling adults, as well as user acceptance and satisfaction with the chatbot-assisted intervention. Participants who meet the inclusion criteria will be randomly assigned to either an intervention group receiving BBT-I combined with a chatbot or a self-monitoring control group.

Chronic insomnia disorder is a common condition in which people have ongoing difficulty falling asleep, staying asleep, or waking too early. It affects about 10-12% of adults and can lead to daytime problems, stress, and other health issues. Current treatments include talk therapy (cognitive behavioral therapy for insomnia) and sleep medications, but medications can have side effects and may not work well over the long term. Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive treatment that uses magnetic pulses applied to the scalp to stimulate specific areas of the brain. It has shown promise in improving sleep quality in people with insomnia by targeting a brain region called the left dorsolateral prefrontal cortex, which plays a role in the overactive brain arousal thought to cause insomnia. The purpose of this study is to find out whether an accelerated course of rTMS using the EXOMIND™ device can improve sleep in adults with chronic insomnia disorder. The study will enroll approximately 70 participants aged 18 to 85 years at a single site in San Francisco. Participants will receive 6 rTMS sessions (3 times per week for 2 weeks). Each session lasts about 25 minutes. The study has three phases: a screening phase (up to 25 days) to confirm eligibility using sleep questionnaires and at-home sleep monitoring, a 2-week open-label treatment phase, and a follow-up phase with visits at 1 month and 3 months after the last treatment session. Total participation lasts up to approximately 139 days. The main goal is to measure whether insomnia severity improves after treatment, using a standard questionnaire called the Insomnia Severity Index (ISI). The study will also measure changes in objective sleep patterns (such as how long it takes to fall asleep, time spent in deep sleep, and total sleep time) recorded by a home sleep monitoring device, as well as changes in sleep quality, stress levels, and overall clinical impression of improvement. This is an open-label pilot study, meaning all participants will receive the rTMS treatment and there is no placebo group. The study does not involve any medications. Participants must not have certain medical conditions, electronic or metal implants in or near the head, untreated sleep apnea, or active serious psychiatric disorders. Participants who are pregnant or breastfeeding cannot take part.

Opioid use disorder (OUD) is a treatable medical illness with three medications FDA approved for treatment. However, persons with OUD report significant sleep disturbance, even when treated with medications for opioid use disorder, leading to high rates of relapse. In this project, we will investigate a special set of photosensitive neurons in the retina as an underlying mechanism for circadian rhythm and sleep disturbance from opioid use and medications for OUD that could lead to novel intervention and improve treatment outcomes.

Assisted living residents who have sleep disturbances are at great risk of developing cognitive impairments. The identification of factors that increase sleep problems in this population is the first step towards improving sleep disorders and reducing and/or delaying the occurrence of cognitive impairments in this population. Physical activity has been proposed to improve sleep quality in older individuals, but there is currently no scientific evidence of how sleep mediates the relationship between physical activity and cognition in assisted living residents. This is a cross-sectional study that investigates the relationship between sleep quality, functional/physical capacity, and cognitive performance. Participants will be recruited through a non-probabilistic sampling method (convenience) as this is a feasibility study that aims to identify, for the first time, sleep disorders in assisted living residents using objective measures of sleep. Sleep quality will be measured with polysomnography, actigraphy, and questionnaire. Functional and physical capacity will be assessed through walking tasks and actigraphy. Cognitive tasks will be used to assess memory. This study will bring new insights into the factors that affect the quality of life and sleep in assisted living residents. The evidence-based knowledge acquired on-site will be translated and shared with the local and global scientific community to raise awareness of the factors that contribute to increasing institutionalization and dependent living. Results obtained from objective and subjective measures of sleep will be of great importance to develop specialized clinical expertise and behavioral interventions that will meet residents' needs.

Single center, prospective, Open label study of sleep, pruritus and circadian function pre/post 12-weeks of dupilumab treatment in children 6-17 years old

Chronic pain is a major health concern for returning Veterans and is associated with decreases in quality of life. In addition, chronic pain is often accompanied by significant disturbance in sleep. Sensory interventions may offer effective, low-cost complementary tools for chronic pain and sleep disturbance in Veterans. Weighted Blankets (WB)- blankets sewn with weighted material inside to provide widespread pressure to the body- are a low-cost wellness product used for anxiety and sleep. WBs have demonstrated large reductions in insomnia, and the investigators have also shown that they can reduce the severity of chronic pain. However, effects and mechanisms of longer WB use have not been examined in individuals with pain and sleep disturbance. The investigators therefore propose a randomized controlled trial examining the effects of WBs on pain and sleep quality in Veterans. the investigators will recruit Veterans with chronic pain and sleep disturbance from the VA San Diego Healthcare System (VASDHS) and VA San Francisco Healthcare System (VASFHS) and randomize 160 Veterans to receive either a light (3-lb; N = 80) or heavy (15-lb; N = 80) blanket. The investigators will remotely collect measures of pain (primary), pain catastrophizing, and pain medication use, as well as sleep disturbance (primary) and sleep efficiency and total sleep time over 6 weeks of overnight home use of the assigned blanket. The investigators will also explore physiological effects of WBs on sleep quality using actigraphy (exploratory) in VASDHS participants. Ecological momentary assessment (EMA) methods will be deployed via smartphone to capture study adherence.

This study aims to evaluate the effect of intraoperative dexamethasone on early postoperative sleep quality in adult patients undergoing nasal surgery under general anesthesia.

Sleep disruption is common in adult intensive care unit (ICU) patients and is often worsened by environmental noise and nighttime care activities. Poor sleep may negatively affect recovery and well-being. This single-center, three-arm randomized controlled trial will evaluate the short-term effects of two non-pharmacological interventions-(1) pink-brown noise masking and (2) a quiet time intervention-on objective sleep parameters in adult ICU patients, compared with standard care. Sleep outcomes will be measured using actigraphy-based wearable monitoring, including total sleep time, sleep efficiency, sleep onset latency, wake after sleep onset, and number of awakenings. Results are expected to support evidence-based nursing approaches to improve sleep in ICU patients.

This clinical trial will compare home sleep apnea testing with the gold standard in-lab polysomnography in terms of 1) accuracy, 2) therapeutic decision-making, and 3) parent/child acceptability in children referred for evaluation of obstructive sleep apnea.

The purpose of this study is to examine the extent to which delivering sleep and circadian focused interventions in addition to evidenced based psychiatric care for depression and suicide risk may contribute to decreasing suicide risk among high risk young adults. Investigators will evaluate three interventions targeting sleep in acutely suicidal college students enrolled in intensive outpatient treatment. Participants will be randomly assigned to one of three intervention groups: 1. Triple Chronotherapy (TCT)+ Transdiagnostic Sleep and Circadian Intervention (TSC) 2. Transdiagnostic Sleep and Circadian Intervention (TSC) 3. Sleep Feedback (SF) Participants will be followed for 6 months with primary outcome domains of suicidal thoughts and behaviors and depression evaluated by blinded clinicians at short (Days 1-4 of intervention), medium (2 months) and long (6 month) term intervals.

This randomized controlled trial aims to evaluate the effectiveness of a mobile- and virtual reality-based mindfulness and breathing intervention on stress, burnout, sleep quality, and cognitive function among Rotating-shift nurses. Participants will be randomly assigned to one of four groups: (1) health education control group, (2) mobile-based mindfulness only, (3) mobile-based mindfulness combined with brief structured breathing, and (4) virtual reality-assisted mindfulness combined with brief structured breathing. The intervention will last for 8 weeks, with participants practicing 5 times per week for 10 minutes per session. Primary outcomes include perceived stress, burnout levels, sleep quality, and cognitive function.

Insomnia is a highly prevalent sleep disorder characterized by persistent difficulty initiating or maintaining sleep, often accompanied by impaired daytime functioning. Chronic insomnia affects approximately 10-15% of the adult population and is associated with significant physical, psychological, and socioeconomic burden. Traditional management strategies, including cognitive behavioral therapy for insomnia (CBT-I) and pharmacotherapy, have shown varying levels of effectiveness, with some patients remaining refractory to standard interventions or experiencing unwanted side effects. Recent advances in sleep neuroscience have revealed that disturbances in endogenous brain rhythms, particularly reductions in slow-wave activity (SWA) and altered sleep spindle patterns, play a key role in the pathophysiology of insomnia. These findings have sparked interest in non-pharmacological neuromodulation approaches to restore healthy sleep architecture. One such approach is personalized nocturnal sound frequency therapy, in which low-frequency auditory stimuli (e.g., pink noise or slow oscillation-matched tones) are delivered during sleep to entrain and enhance specific sleep-related brain oscillations. Studies in healthy individuals and patients with insomnia have demonstrated that such stimulation can augment slow-wave sleep (N3), reduce nocturnal arousals, and improve perceived sleep quality. Personalized algorithms that adapt sound delivery based on real-time EEG signals further enhance these devices' efficacy and user experience. Despite growing evidence supporting the utility of sound-based sleep modulation, there is limited data on its application in diverse insomnia subtypes and its effect as measured by gold-standard sleep studies such as polysomnography (PSG). This study uses a pre-post PSG design to evaluate the impact of personalized sound frequency therapy on objective sleep architecture and subjective sleep outcomes in patients with insomnia. The findings may provide new insights into the therapeutic potential of acoustic brainwave modulation and support its integration into personalized insomnia care.

Insomnia is one of the most common sleep disorders and affects approximately 10 - 40% of the population across different age groups in Hong Kong. Our previous study has shown that insomnia can be prevented through a brief cognitive behavioral prevention program in adolescents. However, there is very limited data in the adult population. Current study aims to evaluate a digital sleep-focused platform which consists of different intervention plan according to user's insomnia severity level and employed a stepped care model. Thus, the effectiveness of the stepped care model will be evaluated in a real world setting using stepped wedge cluster randomized controlled design to evaluate potential preventive effect on adults who only with mild insomnia symptoms. The program will be rolled out to different districts in Hong Kong sequentially in 18 districts over 4 steps with a equally spaced time periods. The primary aim of this study is to evaluate the effects of a stepped-care CBT-I model in improving sleep and prevent the incidence of insomnia among participants with mild insomnia.