View clinical trials related to Depression, Anxiety.
Filter by:Participants will be recruited to complete self reported surveys normally used as standards of care for screening and monitoring depression and anxiety symptom severity, provide a voice sample composed of an answer to open ended questions and then be assessed by a mental health professional using structured and clinically validated assessment tools for depression and anxiety. Their voice will be analyzed by machine learning models that predict the severity of depression and anxiety symptoms. The models' performance will be compared to the clinician assessments and how that correlation compares to a similar comparison between the clinician assessments with the self reported surveys. It is hypothesized that the performance of the machine learning models in assessing the severity of depression and anxiety symptoms is no worse than the self reported surveys when both are compared to clinician assessments. It is also hypothesized that presence or absence of the diagnoses of Major Depressive Disorder and Generalized Anxiety Disorder can be predicted better than chance by the analysis of the participant's voice sample using machine learning models.
The goal of this pilot randomized controlled trials is to assess the effectiveness of the stepped care approach in treating common mental disorders among foreign domestic helpers in Hong Kong and improve their access to evidence-based psychological treatments. Participants will be required to complete an online consent form. Then, around 240 eligible participants aged 18-65 years with depression (Patient Health Questionnaire-9 [PHQ-9] ≥ 10) and/or anxiety (Generalized Anxiety Disorder-7 [GAD-7] ≥ 8) will be randomly assigned to the intervention and control group in a ratio of 1:1. Participants assigned in the intervention group will recieved the stepped-care mental health intervention while those assigned to the control group will receive care-as-usual. Assessments of depression, anxiety, and insomnia symptoms, as well as work and social adjustment, quality of life, and treatment credibility and acceptability will be conducted at baseline, week 7 (after Step 1), week 14 (after Step 2), week 21 (after Step 3), and week 33 (12-week follow-up). An assessment of barriers to accessing care will also be collected before treatment.
Perinatal mood and anxiety disorders (PMAD), defined as depression and anxiety during pregnancy or up to 1 year postpartum, account for substantial morbidity and mortality among birthing people globally especially in low- and middle-income countries. Several evidence-based interventions are recommended for identification and management of PMAD by non-specialist providers in resource-limited settings. This cluster-randomized trial seeks to evaluate the effect of a stepped-care intervention for screening and treatment of PMAD among perinatal women, on clinical and implementation outcomes.
Children are highly sensitive to adversity during their first five years of life, with exposure to chronic parental mental illness (MI) consistently linked to socio-emotional impairments and mental health problems in children. Children born during the COVID-19 pandemic were exposed to unprecedented level of parental distress, with parental MI reported at three times the pre-pandemic rates. This situation underscored a pressing need for scalable solutions to foster positive mental health and developmental outcomes for a generation of children. In response, the investigators developed the Building Emotional Awareness and Mental Health (BEAM) program, an innovative mobile health (mHealth) solution for parents of young children. Clinical trials to date evaluating BEAM have shown promising results, demonstrating reductions in parent depression, anxiety, and harsh parenting practices. This trial involves an effectiveness-implementation hybrid design with co-primary aims of (1) determining BEAM's effectiveness in improving child mental health and developmental outcomes, and (2) evaluating the implementation of BEAM in the community through metrics such as feasibility, acceptability, and uptake. The secondary aim of this trial is to measure BEAM's effectiveness in improving long-term biopsychosocial family outcomes using administrative data. A final exploratory aim of this trial will measure the cost-utility of delivering BEAM relative to extant health programming. This trial will evaluate the effectiveness of implementing the BEAM intervention in the community with a sample of 400 parent participants with a child aged 24-71 months. Study participants will complete 12 weeks of psychoeducation modules in the BEAM app, with access to an online social support forum and check ins with a peer coach. Assessments of parent and child symptoms will occur at pre-test before BEAM begins (T1), immediately after the last week of the BEAM intervention (post-test, T2), 6-month follow-up (T3), and 12-month follow-up (T4). The BEAM program offers a promising solution to addressing elevated parental mental health symptoms, parenting stress, and related child functioning concerns. The present implementation trial aims to extend the groundwork established by an open pilot trial and RCT of the BEAM program, in a next step of testing BEAM's readiness for nationwide scaling.
A study in Singapore will explore the potential of pop culture, particularly Taylor Swift's music, in influencing young adults' attitudes toward mental health. With the highest prevalence of mental illness among this age group, the study will aim to investigate whether engagement with Swift's songs and social media will be associated with attitudes crucial for help-seeking, such as recognizing mental health issues and being open to professional services. Conducting a survey of over 600 young adults, the researchers will assess participants' mental health symptoms, engagement with Swift's content, social media and demographics, mental health help-seeking attitude and mental health self-diagnosing behavior.
This Randomized Controlled Trial will check the efficacy of Eye Movement Desensitization & Reprocessing vs Cognitive Behavioral Therapy in Post-Traumatic Stress and Comorbid Disorders in Pakistan
The present study seeks to compare and analyze the degree of usefulness, acceptability and implementation of the Unified Protocol (UP) in its application in two cost-effective formats, the online group and the blended online group for the treatment of emotional disorders in university students in Spain.
This randomized control trial will evaluate whether a physical activity intervention can improve mental health and biologic markers of stress in pregnant people with depressive or anxiety symptoms. The study will enroll participants if they are presenting for prenatal care at Stanford Children's Health Obstetrics Clinic with a singleton gestation.
Mental health in the university population has become a common and serious problem within university institutions worldwide in recent years. Various meta-analyses and systematic reviews have shown worrying figures in the last five years. In the USA, it has been described in medical students that between 6.0% and 66.5% have depression, between 7.7% and 65.5% anxiety disorders, and between 12.2% and 96.7% present stress. In China, on the other hand, a study reported in 2016 that the prevalence of depression was 23.8%. In Latin America, a Brazilian article conducted on medical students shows a prevalence of depression at 30.6%, anxiety disorders at 32.9%, and stress at 49.9%. In Chile, there are very few studies that address the prevalence of mental health disorders and associated risk factors in the university population. The article published in 2014 by Baader et al. is one of the first records was carried out on a population of 800 students in 2008 at the Austral University of Chile, reporting a prevalence of 27% of depression and 5.3% of students who present a moderate to severe risk of suicide. During April and May 2019, the results of the "First National University Mental Health Survey" project were presented, a project led by the Catholic University of Temuco and sponsored by the National Research and Development Agency (ANID), carried out to 600 students from the Catholic University of Temuco, the University of Concepción and the University of Tarapacá. This project showed that 46% of the students presented depressive symptoms, 46% anxiety symptoms, and 53.5% stress symptoms. Furthermore, 29.7% presented the three symptoms simultaneously, and 5.1% of the students had suicidal thoughts at the time of the study. In a review of published studies on mental health in higher education students in Chile, a wide variability in the prevalence of psychological symptoms among students was identified. The findings showed a range of prevalence of psychological distress between 22.9% and 40.7%, of depressive symptoms between 16.5% and 38.8%, of anxious symptoms between 16.5% and 23.7%, of cannabis consumption in the last 12 months between 19.7% and 29.7%, and alcohol consumption in the previous year between 84.0% and 92.6%. The data obtained from the Mental Health Surveys of the University of the Andes, applied in the years 2020 and 2022 to undergraduate students, indicate variations in the prevalence of different symptoms and psychological risks. Specifically, the prevalence of depressive symptoms decreased from 37.1% to 27.84%, and that of anxious symptoms decreased slightly from 37.9% to 36.13%. A notable decrease was observed in stress, going from 54.6% to 12.9%. On the other hand, the prevalence of suicide risk experienced a less pronounced decrease, from 20% to 18.4%, remaining at a considerably high rate. Taking into account the above, mental health problems in the university population continue to be a public health problem that must be addressed preventively through the implementation of evidence-based programs. Objective: This study aims to determine the acceptability and feasibility of an online universal mental health prevention program for university students. It is also expected to reduce depressive and anxious symptoms and improve quality of life. Outcomes: Primary response measures: Acceptability Assessment, Feasibility Assessment. Secondary response measures are depression, anxiety, and quality of life. The Outcomes section provides more details on anxiety and qu. Expected results: The data collected will allow us to determine the acceptability and satisfaction of the participants with the intervention using a quantitative measure of its credibility and to explore its effects on the participants, considering the change in depressive and anxiety symptoms and quality of life before and after the intervention.
This study will test a new cognitive-behavioral skills training program (CBI) delivered in the metaverse. Although initial evidence suggested CBI was feasible for individuals experiencing depression or anxiety, CBI's effectiveness compared to no intervention has yet to be determined. The intervention may be delivered through virtual reality as well as flat-screen devices, such as a computer, which may also affect CBI's effectiveness. The study will enroll up to 306 participants with depression. One third of the participants will access CBI through virtual reality, one third of the participants will access CBI through a flat-screen device, and one third of the participants will be asked not to attend CBI sessions for the first 8 weeks of participation of the trial. For both CBI conditions, treatment will be provided over 8 weeks, with a 6-month follow-up period. Enrollment will be ongoing and groups will occur simultaneously. Potential participants are asked to complete an initial screening and an intake evaluation to determine eligibility. They will then receive 8-weeks of treatment. Participants will complete brief weekly self-report questionnaires throughout their time in the study.