Active clinical trials for "Depression"

Mastectomy is a major surgery that can have a profound effect on women's psychosocial wellbeing, including elevated depression and body image distress. Reconstructive breast surgery aims to improve patients' psychosocial adjustment to mastectomy, yet for some women substantial distress persists after reconstruction. However, very little is known about risk or protective factors for persistent depression or body image distress following mastectomy with reconstruction. The present study aims to address this critical gap. In women undergoing mastectomy with breast reconstruction, the investigators will assess risk and protective factors for post-surgery depression severity and body image distress.

The purpose of this early Phase 2 comparison trial is to evaluate the impact of community health worker (CHW) home visitors on pregnant women and their children in a rural setting in the rural Eastern Cape of South Africa. The intervention provided by the CHWs targets underweight children, mothers living with HIV (MLH), mothers using alcohol, and depressed mothers with the goal of supporting pregnant women to improve birth outcomes, decrease the number of children born with a low birthweight, and develop child caretaking skills over time. UCLA has identified and matched four areas surrounding primary health care clinics: two intervention areas in which this CHW program has been running for one year, and two control areas without the program. Mothers in the research area are followed for one year after giving birth.

This is an individually randomised control trial to assess the effectiveness of a livelihoods and social empowerment intervention, delivered by Women for Women International, on married women's experiences of intimate partner violence in Afghanistan. It has a 22 month follow up.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has begun, first in Wuhan, China, and then became a pandemic. The first SARS-CoV-2 case in Turkey was reported on March 11, 2020. People older than 65 years old became subject to lock down measures beginning on March 21, while people younger than 20 years old became subject to lock down measures beginning on April 03. A total lock down has been implemented a few times lasting between 3 to 4 days, especially at weekends. Several studies show that mental health problems could occur in public during the SARS-CoV-2 pandemic. Depression and anxiety are a commonly known mental health issue in post-stroke patients. This patient population, who usually have to spend most of their time at home, remained completely at home and socially isolated due to the precautions required by the pandemic. Based on the above research evidence; depression, anxiety and phobia of SARS-CoV-2 may increase in the post stroke patients due to being in risk group and effects of measures taken against SARS-CoV-2 pandemic. Therefore, we aimed to assess the depression, anxiety and SARS-CoV-2 phobia in post stroke patients during SARS-CoV-2 outbreak, and to explore the potential influence factors.

Stress, anxiety, distress and depression are exceptionally high among healthcare providers at the frontline of the COVID-19 pandemic. Knowledge of factors underlying distress and resilience and evidence based interventions to impact the mental wellbeing of frontline healthcare providers is limited. This study will evaluate a novel mobile platform to gather the "distress experience" of healthcare workers at Unity Health Toronto in real time during and after the COVID-19 pandemic, use automated personalized mobile interventions (e.g. routine, sleep, exercise) to nudge active/passive parameters to manage distress.

Background: Social isolation secondary to the pandemic can predispose the population to mental health issues in the future, especially teenagers. The Depression, Anxiety, and Stress Scale (DASS) is a valuable self-report scale since it may be used to screen for anxiety, depression, and stress in one questionnaire. In the last years, it has been observed effective in detecting these symptoms in teenagers. Aims: Identify the prevalence of depression, anxiety, and stress in high school students during the COVID-19 pandemic This is an observational cross-sectional study. For this study, the validated Spanish version of DASS-21 will be used. Qualitative variables will be evaluated through central tendencies, such as mean, standard deviation, and frequencies. The inferential analysis of categorical variables will be performed using the chi-squared test, analysis of variance (ANOVA), or Kruskal Wallis test as appropriate. For quantitative variables, Student's t-test or Mann Whitney U test will be performed depending on their distribution.

The researchers are doing this study to learn more about which online self-help resources, including a smartphone app, an online program, or an informational website, primary care patients with depression are likely to choose and whether the chosen tool will improve their depressive symptoms and wellbeing. The researchers would also like to know how likely someone is to use the resources and their satisfaction with the resources.

Viome costumers are consented and recruited for this study and complete the questionnaires upon enrollment. Any participant who previously self reported depression, anxiety, or Irritable Bowel Syndrome (IBS) qualify for this study. All participants receive Viome's diet, supplement and recommendations.

Researchers are trying to find out if a Stress Management and Resiliency Training (SMART-D) therapy will help with major depression treatment.

This project seeks to know the prevalence of mental health problems among undergraduate students, through internationally and nationally validated screening instruments. The project also aims to understand better the associated factors contributing to the mental health problems of this population. Through the critical analysis of the results, our proposal aims to establish the prevalence of anxiety, depression, suicidality and substance use, and the association with socioeconomic features, academic stress, sense of belonging to the university, interpersonal relationships, and sleep habits among other factors. Once finalized the study, the results obtained will be disseminated to the university community and published in peer-reviewed journals. The results will help the university authorities to design and implement measures to prevent mental health problems in this community.