Active clinical trials for "Depression"

The study evaluates the effectiveness of yoga practices on reducing stress, negative emotion, anxiety, and depression and on increasing positive emotion, wellbeing and resilience. The study uses randomized wait-list control. All U.S. undergraduate students in 4-year universities and colleges age 18 or older are eligible to participate.

TreadWill is a fully automated digital intervention that provides a multi-modal treatment for depressive symptoms. It includes: Slides and interactive text-based conversations based on Cognitive Behavioral Therapy (CBT); Mindfulness videos; Game-based Cognitive Bias Modification paradigms; An empathetic chatbot. This study's primary aim is to test the differential effectiveness of this full-featured version of TreadWill compared to a text-based CBT program.

There is an urgent need to better understand and manage the mental health burden among working adults. Up to 40% of persons with serious mental illnesses do not receive care or stop intervention programs due to negative stigma. Additionally, nearly 50 percent of respondents diagnosed with an anxiety disorder said it interfered with their relationships with coworkers. Close to $6000 USD is lost per working person each year due to depression and its effects. Rose (Recognition of Speech and Emotion) is a mental health-focused application that utilizes artificial intelligence to identify symptoms and provides targeted, tailored in-person therapy solutions for its users. The RoSE application provides solutions to supplement ongoing in-person psychotherapy. This includes journaling and daily assessments that provide curated content and feedback. The current feasibility study aims to recruit 45 established outpatients with at least mild depressive and/or anxiety symptoms who will be consented and enrolled in a five to ten-week study. There are two study arms: (1) the intervention arm and (2) a waitlist control arm. During the course of the study, the participants in the intervention arm will use the RoSE application daily. They will receive either weekly in-person psychotherapy with their established psychotherapist for a total of four sessions over four weeks or biweekly in-person psychotherapy with their established psychotherapist for a total of four sessions over eight weeks. The participants in the waitlist arm will serve as controls unless there is attrition from the intervention group at which time waitlist participants will be offered a spot in the intervention arm. The primary objectives of the study are (1) To assess the usability of the RoSE application and (2) To evaluate the short-term impact on mood and anxiety of using the RoSE application to augment in-person psychotherapy. The secondary objectives are (1) To examine the usage and utility of an in-application journaling function and (2) To examine the usage and utility of in-application curated insights.

The study will compare two groups of patients: a control group of patients treated per the Standard of Care when prescribed with a medication for their Major depression disorder, versus a group of patients that used the Predictix Antidepressant tool when prescribed with a medication for their Major depression disorder by their treating physician. Success will be measured by the number (proportion) of responders per group.

Two randomised controlled trials will be conducted to evaluate a virtual reality (VR) simulation designed to reduce stigma against depression. Qualitative interviews will also be carried out to evaluate the VR simulation.

This study aims to determine if a short audio clip about mindfulness implemented during NST appointments can lower pregnant women's levels of anxiety and depression. Subjects will be placed into either the intervention group or a control group. The intervention group will be asked to listen to a short audio clip on mindfulness during their NST appointments, and the control group will receive the standard of care during NST appointments. Subjects will be asked to take two surveys about anxiety and depression three times throughout the study: before the intervention, after the intervention, and 6 weeks postpartum.

The Antidepressant Advisor Study is a feasibility study to develop and probe the feasibility of a computerised decision support tool for GPs to prescribe antidepressant treatments. The study will use an algorithm to support GPs in their prescribing decisions for patients who have previously not responded to first-line antidepressants. Another group of GPs will prescribe as usual without the algorithm so that the effectiveness of the tool can be assessed, in terms of patient recovery. The aim of the study is to design a support tool which can aid GPs to prescribe the most effective treatment option for the patient so that they have increased likelihood of improvement in depression. A further aim of the study is to assess GP adherence and satisfaction with the tool so that modifications can be made that would improve the usability of the tool in future trials.

Depression is the most common medical disorder of pregnancy, and suicide, most frequently found in women with depression, is a major source of maternal mortality. Perinatal depression affects approximately 15% of women in pregnancy and the year postpartum and affects both women and their children, both medically and as a result of impairment in the ability to care for self and others. In low- and middle-income countries (LMICs) where food insecurity can be severe, growth stunting is seen among the infants of women with untreated depression. Fortunately, effective treatment of perinatal depression with antidepressant medications and evidence-based psychosocial interventions (such as collaborative care) mitigates these risks. Yet there are a range of obstacles within LMICs to the delivery of services for perinatal depression and maternal suicide prevention, including a lack of awareness of this disorder and related evidence-based treatments, stigma among patients and providers, scarcity of specialty mental health care providers, and the lack of health information technology supports for the longitudinal care of chronic illness.

A feasibility study evaluating how acceptable women experiencing low mood or anxiety during their pregnancy find an online Cognitive Behavioural Therapy course called 'Enjoy Your Bump'. This project will also begin to explore the effectiveness of this programme as a low intensity self-help intervention for mild to moderate depressive symptoms during pregnancy.

Previous studies on network mechanism of repetitive transcranial magnetic stimulation (rTMS) suggest that pretreatment resting-state functional magnetic resonance imaging (rs-fMRI) connectivity may serve as a predictive biomarker for antidepressant treatment response. In phase I of the study, the focus was on the predictive value of pretreatment connectivity between the left dorsolateral prefrontal cortex (DLPFC) and subgenual anterior cingulate cortex (sgACC). However, preliminary results indicated a more complex pattern. Additionally, accessibility to magnetic resonance imaging scanners is often limited and costly. Therefore, in phase II of the study, a more affordable way to measure the blood-oxygen-level-dependent signal was examined, known as functional near-infrared spectroscopy (fNIRS). The aims of this study are identifying biomarkers for predicting and monitoring treatment response to neuronavigated TMS in medication-resistant depression and examine the clinical utility of fNIRS.