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Active clinical trials for "Sleep Initiation and Maintenance Disorders"

Results 121-130 of 1052

RISE: A Remote Study of Insomnia Treatment in Crohn's Disease

InsomniaCrohn Disease

The purpose of this study is to assess whether the investigators can treat insomnia in people with Crohn's disease, and if insomnia treatment can make other things better, like pain or inflammation.

Recruiting17 enrollment criteria

Internet-based Cognitive-behavioral Treatment for Insomnia in COPD Patients Undergoing Pulmonary...

Chronic Obstructive Pulmonary DiseaseInsomnia

This study is a randomized controlled trial (RCT) to compare sleep and health-related functioning in Veterans with chronic obstructive pulmonary disease (COPD) and insomnia receiving an Internet-based behavioral treatment for insomnia during home-based pulmonary rehabilitation (HBPR) versus those only receiving HBPR. Participants will undergo a sleep and health assessment that will be performed prior to the beginning of HBPR and at the end of HBPR and 6-months later. Participants will be randomly assigned to either Internet-based behavioral treatment for insomnia plus HBPR or HBPR only.

Recruiting18 enrollment criteria

Study for Evaluating the Efficacy of Ciprofol in Patients Under Narcotic Sleep With Chronic Insomnia...

Chronic Insomnia

This is a single center, randomized, single blind, exploratory clinical study.About 30 patients with chronic insomnia are planned to be enrolled in this study and randomized into two groups by a ratio of 4:1 (Figure 1), with group 1 (24 subjects) for ciprofol and group 2 (6 subjects) for placebo (fat emulsion). Cognitive behavioral therapy (CBT) will be given to these patients during the treatment.

Recruiting35 enrollment criteria

Clinician Training Program to Integrate Digital CBTI Into Routine Psychotherapy

Insomnia

The goal of this study is to pilot test and refine a training program for licensed therapists to promote the integration of digital cognitive behavior therapy for insomnia (dCBTi) into their routine mental health care services.

Recruiting16 enrollment criteria

Perinatal Research on Improving Sleep and Mental Health

InsomniaDepression

The goal of this clinical trial is to compare two sleep programs in pregnant people with insomnia. The main questions it aims to answer are: What is the efficacy of digital cognitive behavioral therapy for insomnia (CBT-I) versus digital sleep hygiene education (SHE) for preventing perinatal depression? Is the effect of digital CBT-I on perinatal depression mediated through prenatal insomnia symptom improvement? Is the effect of digital CBT-I on perinatal depression moderated by baseline depressive symptom severity? Participants will receive one of two sleep programs - SHE or CBT-I. Both involve six weekly online sessions. Participants will complete surveys and interviews until 1 year postpartum.

Recruiting10 enrollment criteria

Hydrogen-oxygen Mixed Gas in the Treatment of Insomnia

Insomnia

The purpose of this study is to evaluate the efficacy and safety of hydrogen-oxygen mixed gas inhalation in the treatment of insomnia.

Enrolling by invitation9 enrollment criteria

Gabapentin and Tizanidine for Insomnia in Chronic Pain

Insomnia Due to Medical ConditionChronic Pain

This is a double-blind, placebo-controlled, randomized, crossover trial aimed at assessing the effect of gabapentin and tizanidine, two pain medications, on insomnia in chronic pain patients.

Enrolling by invitation17 enrollment criteria

Transdermal Trigeminal Electrical Neuromodulation on Mild Cognitive Impairment With Insomnia

InsomniaAlzheimer Disease2 more

This study aims to validate the safety and impact of transdermal trigeminal electrical neuromodulation(Cefaly) on mild cognitive impairment patients with insomnia on brain functional and structural connectivity as well as sleep parameters evidenced by polysomnography and sleep surveys, with consideration for amyloid positivity and brain-derived neurotrophic factor .

Recruiting15 enrollment criteria

Effectiveness of a Psychological Intervention on Mental Health and Sleep.

Insomnia ChronicAnxiety3 more

Background: The COVID-19 pandemic represented a global public health problem that brought considerable consequences to the physical and mental health of the entire population. Objective: To compare the effectiveness of the brief behavioral intervention for insomnia by teleconsultation (BBII-TC) with the brief behavioral intervention for face-to-face insomnia (BBII) on symptoms of insomnia, anxiety, depression, quality of sleep and life in a sample. of patients with long COVID. Methodology: Randomized controlled trial of equivalence with two groups in parallel (1:1) with repeated measures in pretreatment, posttreatment and follow-up at 3 months. The sample will be composed of male or female participants, in an age range of 18 to 40 years. The sample size was calculated, obtaining a total of 52 participants, the expected effect size is .40, with a significance of 0.05 and a probability error of 80%. Participants in the two groups will be assessed with the following instruments: Sleep Diary, Patient Health Questionnaire 9, Pittsburgh Sleep Quality Index , Insomnia Severity Index, SF-36 Health Survey and Generalized Anxiety Disorder 7; at the beginning and end of treatment; and in a follow-up at 3 months. TData analysis: The Kolmogrov-Smirnov test will be carried out to determine the normality of the data, in case the distribution is parametric, an ANOVA of repeated measures will be carried out for the comparison of data between the pre, post and monitoring for each of the groups; in the event that the data does not have a normal distribution, the Friedman test will be performed for the comparison of repeated measures. Finally, to avoid bias in the data analysis, an external investigator will be asked to perform the randomization and data processing.

Enrolling by invitation10 enrollment criteria

Study on the Remote Diagnosis and Treatment Strategy of New-onset Insomnia Under the COVID-19 Epidemic...

InsomniaCBT2 more

Insomnia is a disorder characterized by both nocturnal and daytime symptoms. The main symptoms are unsatisfactory sleep quality or duration, accompanied by difficulty falling asleep before bedtime, frequent or prolonged awakenings, or an inability to fall back asleep after waking in the early morning. Our previous investigation has confirmed that during the period of home isolation of the epidemic, the community people suffered from acute insomnia induced by the epidemic. In order to comprehensively, efficiently and scientifically respond to major public health emergencies such as the COVID-19 epidemic and its long-term impact, it is necessary to carry out in-depth and systematic research on insomnia related issues of medical staff under the COVID-19 epidemic. In summary, insomnia is a widespread problem among medical staff during the epidemic, which greatly reduces the work efficiency of medical staff and damages their physical and mental health. Without timely and effective early identification and effective intervention, allowing the disease to continue to develop will bring a series of concurrent diseases, threaten the lives of medical staff and bring a series of negative social effects. At the same time, the diagnosis and intervention of large-scale acute insomnia for medical staff under the epidemic face some scenario limitations, and it is necessary to consider the spread of the virus to reduce direct contact. Especially for some medical staff in isolation, it is more difficult to implement face-to-face evaluation, diagnosis and treatment. Under the COVID-19 pandemic, there are two main contradictions in the acute insomnia of medical staff. The first is the lack of a diagnostic cloud platform based on artificial intelligence for large-scale acute insomnia. The second is the lack of an effective remote intervention for acute insomnia suitable for the epidemic scenario. Based on the results and deficiencies of the previous research, this project intends to further study and improve in three aspects. First, a large-scale and more accurate artificial intelligence-based automatic screening and diagnosis model research was carried out in combination with CPC equipment for acute insomnia screening of medical staff under the epidemic situation. The second is to use epidemic insomnia acute insomnia CPR to intervene the acute insomnia and other psychiatric symptoms of medical staff on a large scale and verify its effectiveness through follow-up. Third, for the epidemic scenario, further build an intelligent screening and remote intervention system platform for acute insomnia for the majority of medical staff, and continue to provide an assessment, intervention and consultation platform for medical staff under the epidemic. Therefore, in order to comprehensively cope with the increase in the incidence of acute insomnia among medical staff under the COVID-19 epidemic and its resulting disease, social and economic burden, we should pay attention to the mental health of medical staff in the first-level key susceptible population, and improve the response experience of major public health emergencies in the future. This project aims to establish a portable and efficient artificial intelligent-based diagnosis cloud platform method and remote intervention system for medical staff with acute insomnia under the epidemic situation, which is suitable for large-scale development. Based on the data collected by portable devices and electronic scales, a risk assessment model for acute insomnia and other psychiatric symptoms of medical staff in the epidemic situation is constructed, and effective intervention is carried out on this basis. To promote the establishment of a comprehensive prevention and treatment system for insomnia after the epidemic, comprehensively carry out systematic work from multiple perspectives, improve mental health, summarize and form China's experience in dealing with major public emergencies, and promote it internationally, so as to reduce the impact and loss caused by the COVID-19 epidemic on a global scale.

Enrolling by invitation14 enrollment criteria
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