View clinical trials related to Depressive Disorder.
Filter by:The goal of this randomized control group is to learn about effective treatments for college students experiencing anxiety and/or depression. The main questions this clinical trial aims to answer are: 1) Can alternative treatments decrease anxiety and/or depression among college students? 2) Can alternative treatments increase retention rates among college students experiencing anxiety and/or depression? Participants will be randomly assigned to one of three intervention groups: external qigong, mindfulness meditation, or psychoeducation. Researchers will compare outcomes from each group to explore treatment differences.
Although psychological interventions exist for the prevention of PPD, a yoga-based intervention to prevent PPD among at-risk women utilizes a similar theoretical foundation (i.e., mindfulness), may be more acceptable to women of minority status, and may confer additional physical activity benefits. The purpose of this pilot study is to determine the effectiveness of using a virtually delivered prenatal yoga intervention for the prevention of PPD among at-risk women in a diverse health care system and explore preliminary factors which influence implementation of the intervention. This study has 2 phases: Phase 1 will evaluate facilitators and barriers to intervention implementation among patient, clinician, and health system stakeholders, followed by an open trial, and Phase 2 will include conducting an 8-session pilot randomized controlled trial to assess the feasibility and acceptability of the proposed prenatal yoga intervention among women with a history of depression, as well as the onset and course of PPD and mediating factors. The specific aims are to: 1) Optimize delivery of a yoga intervention within a healthcare system to prevent PPD through examining facilitators and barriers of implementation, 2) Examine feasibility, acceptability and satisfaction of the intervention within a health care system, and 3) Evaluate preliminary effectiveness of the intervention on PPD and proposed mechanisms. For Phase 1, separate focus groups with patient stakeholders and clinician and administrative stakeholders will inform intervention implementation, and an open trial to refine and optimize the intervention. For Phase 2, women with a history of depression who are 8-28 weeks pregnant will be randomized to the intervention group (n=24) or treatment-as-usual (n=24) and will complete survey measures at baseline, post-intervention, and 1 and 3 months postpartum. It is hypothesized that the intervention will be feasible and acceptable, engage women of racial/ethnic minority status, and contribute to lower rates of PPD onset. Embodiment and mindfulness are the proposed mediators. Knowledge gained from this study can support prevention efforts for PPD and improve the adverse public health impact of this disorder.
In this project, we will A) track the functioning of a collection of potential neurobiological targets for depression over time, B) examine how fluctuations in the functioning of those targets relates to real-world functioning, and C) in a subset of the sample, determine how the functioning in those targets is altered by a single dose of ketamine.
This study aims to better adapt cognitive behavioral therapy for insomnia (CBTi) for people with comorbid depression by using objective sleep measures to tailor the behavioral interventions components of CBTi. Using ambulatory monitors, we also aim to investigate changes in brain activity and heart rate throughout the intervention. In this parallel-group randomized clinical trial, participants undergo one week of baseline ambulatory monitoring after which they are randomly assigned to one of two intervention arms: 1) digitally delivered CBTi (eCBTi) based on standard subjective sleep measures (sleep diary), or 2) eCBTi based on objective sleep measures (EEG headband). The intervention spans over 5-weeks, followed by a week of ambulatory monitoring and follow-up measures one week and one month after the end of the intervention. The study also includes a post-intervention interview to gather feedback on participant experiences. The overall protocol includes online questionnaires and structured clinical interviews assessing sleep, insomnia, and mental health, as well as treatment-related measures before, during, and after the intervention. It is anticipated that eCBTi using objective sleep measures will lead to better treatment acceptability, satisfaction, and effectiveness, including greater improvements in symptoms of insomnia and depression. It is also anticipated that sleep EEG and heart rate profiles will improve along the course of eCBTi.
Major depressive disorder (MDD) is a mental disorder leading to a variety of emotional and physical problems affecting almost 300 million people worldwide. Long-term treatments for MDD, including medication and therapy, imposes a significant financial burden on society. Mobile-based screening interventions might be a promising approach for effectively reducing MDD symptoms. The investigators hypothesize that the mobile-based screening strategy evaluated in this proposal will substantially reduce the burden of MDD over time, increase participants' quality of life, and decrease MDD-related disparities
The worldwide prevalence of anxiety and depression increased massively during the pandemic, with a 25% rise in the number of patients suffering from psychological distress. Psychiatrists, and even more so general practitioners, need measurement tools that enable them to remotely monitor their patients' psychological state of health, and to be automatically alerted in the event of a break in behavior. In this study, the investigators propose to collect clinical data along with longitudinal measurement of patients' emotions. Emobot proposes to analyze the evolution of mood disorders over time by passively studying people's emotional behavior. The aim of EMOACQ-1 is to acquire knowledge and produce a quantitative link between emotional expression and mood disorders, ultimately facilitating the understanding and management of these disorders. Through this study, could be developed a technological solution to support healthcare professionals and patients in psychiatry, a field known as the "poor relation of medicine" and lacking in resources. Such a solution would enable better understanding, disorders remote & continuous monitoring and, ultimately, better treatment of these disorders. The investigators will process the data by carrying out a number of analyses, including descriptive, comparative and correlation studies of the data from the self-questionnaire results and the emotional signals captured by the devices. Finally, the aim will be to predict questionnaire scores from the emotional signals produced.
If we examine the demographic data of the 2021 reports of the Turkish Statistical Institute (TUIK), we can see that the young population between the ages of 15 and 24 is 12,971,289 people, which is 15.3% of the total population. Considering the proportion of young population in our country, the evaluation of physical activity level has an important place, while the proportion of female university students who achieved sufficient physical activity level according to the scoring of the International Physical Activity Questionnaire (UFAA) was 8.5%, while the proportion of male students was 28.1% in previous studies (Arslan 2015). ). We know from previous studies that achieving an adequate level of physical activity directly reduces the body mass index and indirectly reduces the cardiovascular risk associated with obesity (Swift 2018). Exercise reduces depression levels and the effects of depression. Although the neural mechanisms are not very clear, there are some predictions for physical exercise to reduce the level of depression (Gujral 2017). The hippocampus is an important cognitive and sensory centre, and it has been reported that hippocampal volume decreases by 5% in depressed individuals (Cole 2011). Hippocampal volume has been reported to increase rapidly with exercise (Bugg 2012). The brain region most affected in major depressive disorder is the prefrontal cortex. After the prefrontal cortex is affected, symptoms such as negative affect and learned helplessness appear (Pizagalli 2021). Experimental studies in mice have shown that treadmill training creates new synaptic pathways in the prefrontal cortex and hippocampus (Mu 2022). Another brain region affected by depression is the corpus striatum. Loss of corpus striatum volume is observed in patients with major depression (Zhang 2020). The volume of the corpus striatum modulates when physical exercise reaches a sufficient level. (Rotttensteiner 2015). Adequate levels of physical activity not only reduce depression, but also prevent neural dysfunction that can occur as a result of depression. However, young people do not get enough exercise. Based on this fact, we believe that it is necessary to use 3D virtual reality applications to increase physical activity levels and exercise motivation. The aim of our study is to investigate the effect of virtual reality training on balance, depression, anxiety and stress parameters in healthy young people.
The goal of this trial is to pilot a way for orthopaedic surgeons to safely screen for depression and provide treatment for depression with medication. The main questions it aims to answer are: 1. What are the outcomes of patients who screen positive for depressive symptoms and are prescribed either an Selective serotonin reuptake inhibitors (SSRI) or serotonin and norepinephrine reuptake inhibitors (SNRI). 2. What are the outcomes of patients who screen positive for depressive symptoms and choose not to pursue treatment with medication?
Bright Light Therapy (BLT) is a proven treatment for depression in seasonal and non-seasonal depressive disorders, as well as bipolar disorder. To make BLT more effective and practical in clinical settings and tailor it to individual needs, it is necessary to optimize the treatment approach, understand how the treatment works, and identify patient characteristics that predict response. This clinical trial has three main goals: - Optimize the administration of BLT for patients with depressive episodes. - Gain a deeper understanding of the treatment mechanisms. - Determine which patients benefit the most from the treatment. The specific objectives are as follows: - Investigate whether additional treatments and interventions related to lifestyle and the biological clock can enhance the effects of BLT. - Examine how BLT influences the body's internal clock and sleep quality, and how these factors contribute to the outcomes. - Identify patient characteristics and behaviours that can predict treatment outcomes. - Develop a brain model to better understand the impact of BLT on the brain. In this study, patients will receive BLT with a light intensity of 10,000 lux for 30 minutes each morning over 5 consecutive days. The treatment duration will range from one to three weeks, depending on the improvement of depressive symptoms. Participants will be randomly assigned to one of three groups: - Home - Patients will receive BLT at home, following the standard guidelines for light therapy in the Netherlands. - LightCafé, fixed time: Patients will receive BLT in a café-like setting called the LightCafé, where the focus is not only on symptom improvement but also lifestyle enhancements and fostering social connections. The treatment time will be the same every day. - LightCafé, varying time: Patients will also receive BLT at the LightCafé, with treatment timing varying each day. Additionally, this group will wear glasses in the evening that filter blue light. The study includes a baseline phase of up to two weeks, a treatment phase of up to three weeks, and a three-month follow-up phase. Patients will wear a motion watch to assess sleep-wake behaviour and physical activity during the day. Additionally, they will wear a broach that measures their personal light exposure throughout the day. Eight one-minute questionnaires per day will be sent to the participants' smartphones to assess vitality, sleep, and mood during the treatment. Predictors of treatment response, such as clinical characteristics, sleep measures, circadian parameters, and light-related behaviours, will be evaluated at baseline. In a small group of patients, salivary melatonin curves will be assessed before and after treatment. MRI scans will provide insights into functional and structural brain changes following light therapy treatment.
The investigators aim to explore the efficacy and safety of rTMS therapies with different intervals between sessions for treating patients with moderate to severe depression.