View clinical trials related to Depression.
Filter by:The goal of this clinical trial is to test the effect of Rehacom on depression and Quality of life in post covid -19 patients. The main question it aims to answer is: • Is a cognitive rehabilitation therapy will improve depression and quality of life in patients with post COVID-19? Researchers will compare Rehacom with exercise therapy to see if rehacom can improve depression and quality of life in patients with post COVID-19 neuropsychological problems.
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.
Depression is a serious mental illness, with persistent depression and loss of interest as the main clinical manifestations, and causes varying degrees of cognitive impairment, further leading to impaired social function, and even lead to suicidal behavior. Previous studies on the antidepressant effects of Omega-3 mainly focused on chronic effects, and there was a lack of corresponding rapid response clinical studies. Because of the nature of Omega-3 health products, no clinical adverse effects have been reported. We have previously shown that Omega-3 can produce antidepressant and cognitive improvement effects. This study will carry out different doses (low dose and high dose) and single active ingredient (EPA alone) to observe the antidepressant and cognitive improvement effects of Omega-3 in clinical patients with major depression. The antidepressant effect and cognitive improvement effect of Omega-3 will be further verified to provide evidence for future clinical application.
This study aims to determine and compare acupuncture therapy and chiropractor group therapy to reduce anxiety and depression among HIV/AIDS patients at Being Alive, Los Angeles. In this controlled clinical trial, a total of 30 patients will be divided into two groups, 15 in the acupuncture therapy group, 15 in the chiropractor group therapy. The Hospital Anxiety and Depression Scale (HADS), The Patient Health Questionnaire 9-item (PHQ-9) and Generalized Anxiety Disorder 7- item scales (GAD-7) will be used as screening tools for depressive and anxiety symptoms respectively.
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.
The purpose of this research is to see if information from blood and data from smartwatches can be combined to help diagnose depression and determine if transitions between active depression and treated depression can be predicted.
More research is needed to elucidate the impacts of physical activity interventions on short- and long-term activity and neuropsychiatric symptoms (NPS) in psychiatric inpatients and to support its advantageousness when compared to current standards of care. To investigate the impact of regular exercise on activity level, NPS, and sleep in an inpatient psychiatry unit, the investigators propose a placebo-controlled study with measures of activity, mood, anxiety, energy, and sleep as primary outcomes in 50 psychiatric inpatients at Johns Hopkins Hospital. Given the challenges of maintaining blinded assignment to treatment arm, the investigators will compare patients during two time periods (3 months each): the first is treatment as usual (TAU), the second adds exercise intervention (EXI).
The goal of this clinical trial is to compare Integrated Resiliency Training and Task Sharing (IRTTS) to Workplace Improvement Learning Collaborative (WILC) in group homes for adults with serious mental illness and/or intellectual and developmental disabilities. The main questions it aims to answer are: - Is IRTTS superior to WILC in improving residential care worker (RCW) resiliency; stress management and burnout; depression and anxiety; and positive health behaviors? - Is IRTTS superior to WILC in improving RCW turnover/retention; RCW sick days/absenteeism; and group home safety and resident incidents? - What are the barriers, facilitators, and resources required to successfully implement IRTTS and WILC? Participants may engage in training sessions, collaborate with residents and other RCWs in their group homes, attend meetings with RCWs from other group homes, complete surveys, participate in focus groups, and/or give qualitative interviews. Researchers will compare IRTTS to WILC to see which intervention should be implemented to achieve the greatest improvement in RCW resiliency and greatest reduction in burnout and turnover in group homes for adults with serious mental illness and/or developmental and intellectual disabilities.
This study was planned to examine the effects of the Mindfulness-Based Stress Reduction Program, which is one of the popular concepts of the 21st century, on depression, psychological well-being and prenatal attachment, which are likely to occur as a result of increased stress during an important period that requires adjustment as a result of physical, mental and cognitive changes during pregnancy. It will be conducted in a randomized parallel controlled experimental design type using Consolidated Standards of Reporting Trials (CONSORT) guidelines. It is planned to be carried out with the ZOOM Cloud Meetings program, which is an online education platform, with pregnant women who apply to the Health Sciences University Ümraniye Training and Research Hospital pregnancy polyclinic in the Ümraniye district of Istanbul. The universe of the research will be the pregnant women who applied to the Health Sciences University Ümraniye Training and Research Hospital pregnant outpatient clinic. Primiparous pregnant women who meet the inclusion criteria and willingly agree to participate in the study will be included in the study. 54 people in the intervention group, 54 people in the control group, and a total of 108 people will be taken. While the Conscious Awareness-Based Stress Reduction Program adapted for pregnant women will be applied to the intervention group, routine follow-up will be applied to the control group within the scope of the outpatient clinic follow-up of the relevant institution. Informed Voluntary Consent Form, Descriptive Characteristics Information Form, Psychological Well-Being Scale, Beck Depression Scale, Prenatal Attachment Scale and Conscious Awareness Scale will be administered to the participants included in the study. As a result of the findings, the discussion and results of the study will be written.
This study apply a wearable visual device (HMD)-VR-based software medical device for patients with depressive disorder for 8 weeks. The investigator would like to confirm evaluate the safety and efficacy of the wearable visual device(HMD)-VR-based software medical device effect of improving depressive disorder in patients.