View clinical trials related to Depressive Disorder.
Filter by:Despite experiencing higher rates of depressive symptoms (Center for Disease Control and Prevention, 2020) and similar rates of Major Depressive Disorder (MDD; Substance Abuse and Mental Health Services Administration (SAMHSA), 2019), Latino adolescents in the U.S. are significantly less likely than their non-Latino White peers to receive treatment for MDD (SAMHSA, 2019). The purpose of this study is to identify a stakeholder-preferred implementation strategy that may improve psychotherapy attendance among Latino adolescents. Latino adolescent-parent dyads and healthcare providers will be recruited from healthcare settings and social media. Focus groups will be conducted with healthcare providers (n=5), and individual interviews will be conducted with Latino adolescents with a diagnosis of depression (n=15) and their parents (n=15).
Depression is a kind of mental illness with high incidence, high recurrence and high disability. But so far, treatment remission rates for depression remain low. Therefore, it is necessary to develop more new treatments. Light therapy has been shown to be effective in treating depression with seasonal patterns. Although most studies have reported that light therapy is also effective in patients with depression without seasonal patterns, high-quality clinical studies are still rare and the conclusions are still controversial. In particular, it remains unclear whether light therapy is effective in treating depression without seasonal patterns in the Chinese population. In addition, there is a lack of biomarkers that predict the efficacy of light therapy. In conclusion, this study intends to conduct an ADD-ON randomized controlled study to clarify the efficacy and safety of light therapy as synergistic therapy in patients with depression without seasonal patterns, and to screen peripheral biomarkers related to efficacy using transcriptome sequencing technology. It is expected that this study can confirm the effectiveness and safety of light therapy as synergistic therapy, provide an evidence-based basis for the research and exploration of light therapy in Chinese depression population, and provide more options for the synergistic treatment of antidepressants in Chinese depression population.
Adolescents with mood disorders experiencing major depressive episode have poor efficacy of medication treatment. High-Definition Transcranial Direct Current Stimulation (HD-tDCS) has been proven adjuvant efficacy in patients with major depressive episode. However, the optimal evidence-based stimulation parameters have not been clearly defined, which greatly limits the efficacy of HD-tDCS in the treatment of major depressive episode.This trial will compare a novel form of accurate and personalized HD-tDCS treatment protocol guided by neuroimaging biomarkers to the routine stimulation(stimulation target is L-DLPFC, central electrode is anode).The personalized selection of stimulation site, central electrode polarity will be determined by neuroimaging biomarkers. The study aims to propose a novel personalized neuroimaging-guided HD-tDCS strategy, to evaluate the efficacy and safety of the treatment, further to understand the biological mechanism of the personalized HD-tDCS treatment.
This study will investigate how sleep and mood are related in patients with depression and in healthy controls. It will use MRI-based measures of brain function to determine how neural systems are modulated by sleep and sleep deprivation, and its links to mood in depression.
Many individuals with serious mental illness have difficulty accurately interpreting interpersonal cues and effectively engaging in social exchanges. Difficulties related to the interpersonal aspects of work can lead to isolation, poor productivity, and job loss. The goals of this study are to: 1) adapt an evidence-based social cognitive skills intervention for work settings and use with Veterans, 2) examine the acceptability of the work focused skills training intervention, 3) assess the feasibility of combining the social cognitive skills training program with supported employment, and 4) examine change on functional outcomes. The current study will use feedback from veteran and employment specialist stakeholders to adapt an evidence-based social cognitive skills training program, Social Cognition and Interaction Training (SCIT). The intervention will be modified to tailor it to work relationships and to address any unique relationship concerns among Veterans that are identified by stakeholders. SCIT-Work Edition (SCIT-WE) will add: 1) education about work-related social norms; 2) examples of work-related social interactions that require perspective taking and problem- solving; 3) individual sessions with the study therapist to enhance learning and relevance to each participant's goals; 4) structured interactions with the participant's employment specialist to practice skills outside of group; and 5) skill application sessions with the participant's employment specialist that prompt use of skills after training is completed. SCIT-WE will be developed and piloted in an open trial with 20 Veterans enrolled in the supported employment program at the Minneapolis VA who have a qualifying serious mental illness diagnosis. SCIT-WE will be offered for 2 hours weekly over 13 weeks, when most participants are in the job development and job search phases of supported employment. While participating in the group skills training, participants will have weekly, individual homework review sessions with the group facilitator to promote understanding of the skills and to discuss relevance of the skills to personal goals. Participants also will practice skills weekly with their employment specialist for 10-15 minutes to promote use of skills outside of group sessions. In the 3-months following skills training completion, participants will complete 10 15-minute skills review sessions with their employment specialist to encourage continued skill application in a work setting. Participants will complete assessments at baseline, before receiving the intervention; 3-months post-enrollment, after participating in a weekly skills training group; and 6-months post-enrollment, after receiving 10 additional individual skills review sessions with their employment specialist. Accessibility will be measured with rate of treatment uptake, rate of treatment completion, and participant attitudes toward the intervention. Feasibility of the intervention will be assessed by examining retention in supported employment and the study at 3- and 6-months post-enrollment. Impact of the intervention will be examined with measures of quality of life, social adjustment, self-efficacy, and work relationship quality. It is hypothesized that the intervention will be acceptable to Veterans. The investigators predict a 50% treatment uptake rate, a 70% intervention completion rate, and positive ratings on measures of satisfaction, interest, and value. The investigators hypothesize that it will be feasible to complete this intervention in combination with supported employment activities. The investigators predict that retention in both skills training and supported employment will be 75% at 3-months post-enrollment and 60% 6-months post enrollment. The investigators hypothesize that positive change will be seen at 3-months post-enrollment and sustained at 6-months post-enrollment on measures of quality of life and social adjustment. The investigators predicted that self-efficacy regarding return to work will be improved at 3-months post-enrollment. The investigators predict that Veterans will report being productive and having positive work relationships 6-months post-enrollment. The findings will inform the development of a novel intervention targeting the social and functional impairments associated with serious mental illness. The knowledge gained from this study will guide the development of the next generation of interventions. Given that employment is a critical part of recovery, advancement in therapeutic interventions that support Veterans in this process will be of significance.
New working environments (digitalization, flexibilization) can lead to increased levels of stress. A balanced work-life balance is therefore important in order to prevent negative effects of stress on mental health. This study investigates, 1. how stress, recovery, nutritional behavior, resilience and sleep behavior are related to the changed working conditions. 2. how standardized nutritional training affects individual body composition (measured using Bioelectrical Impedance Analyses, BIA), stress perception, burn-out symptoms and sleep.
Major depressive disorder (MDD) is a prevalent and disabling mental health condition. A recent meta-analysis shows that across all forms of psychotherapy, only 43% of all depressive patients fully recover from MDD and relapse rates are high. Therefore, there is a strong need for innovative interventions with better treatment outcomes. Most traditional psychotherapies for depression focus on reducing negative affect. However, in patients suffering from depression, anhedonia, or loss of positive affect, is associated with poor prognosis and increased chance of suicide. Recent studies show promising results for novel psychotherapies with a focus on enhancing positive affect. Experimental studies indicate that non-verbal stimuli have a stronger impact on activation of positive affect than verbal stimuli, which makes Virtual reality (VR) a promising tool to enhance positive affect. For the current study the investigators developed an innovative VR treatment protocol to enhance positive affect and reduce depressive symptoms in patients with MDD. This study will include 10 adolescents aged 15 to 23 years old, who have a diagnosis of unipolar mild to severe depression. A trained psychologist will perform the VR-Moodboost intervention in twelve weekly sessions. The overall aim of this explorative proof-of-concept study is to provide first evidence that treatment with VR-Moodboost will lead to symptom improvement in adolescents with depression. The investigators hypothesize that VR-Moodboost will lead to an increase in positive affect, daily positive mood and a decrease in negative affect and daily negative mood in adolescents with mild to severe depression. Secondary, the investigators hypothesize that the VR-moodboost will lead to a decrease of depressive symptoms, an increase in daily activation, an increase in quality of life and an increase of self-efficacy for the participating patients. Moreover, the investigators hypothesize that VR-Moodboost leads to high patient acceptability and high usability for both patient and therapist.
Affective disorders (mainly including major depressive disorder and bipolar disorder) are common, chronic and highly disabling mental disorders, which lack of objective biological markers. It is believed that genetic and environmental factors are involved in the development of affective disorders. Gut microbes can affect the function of brain neural circuits by mediating metabolic, immune, endocrine and autonomic changes along the brain-gut axis. The brain can also regulate intestinal microbes through endocrine, neural structure, neurogenic exosomes and other pathways. Based on the brain-gut axis, this study intends to establish a large cohort of affective disorders, and screen out efficient and convenient biomarkers for clinical diagnosis and efficacy prediction by studying key indicators such as intestinal microbes, serum metabolites and immune indexes, brain-derived exosomes, and brain functional imaging.
This research study is studying how thoughts, feelings, surroundings, and individual biology may contribute to why and how people experience anxiety or depression. We are trying to find out the wide variety of reasons that people may experience anxiety or depression, and why different people are helped by different forms of treatment. We are trying to determine why people stay in treatment, and what factors contribute to a positive or negative response to treatment. These reasons may be due to thoughts, feelings, beliefs, personality, biology, social support network, life events, and barriers to treatment. A wide range of information about factors that impact anxiety and depression will be included. These include, among others, measures of inflammation, hormone levels, behavior, spoken language, personality, medical history, social determinants of health, and attitudes toward mental health and its treatment. The study involves psychological and psychiatric treatments in the form of psychotherapy and medication management. The participant will be asked to set specific goals for study treatment, and to provide videos between sessions about relevant medication, emotional, and sleep factors in their life. In summary, this study will collect biological, psychological, and social factors that may play a role in anxiety and depression. This will inform both individual's diagnosis and treatment and will be used in a later set of analyses that can inform diagnosis and treatment for other individuals who share similar characteristics.
Adolescents and young adults with mood disorders experiencing major depressive episode have poor efficacy of medication treatment. Repetitive magnetic transcranial stimulation (rTMS) has been proven adjuvant efficacy in patients with major depressive episode. However, the optimal evidence-based stimulation parameters have not been clearly defined, which greatly limits the efficacy of rTMS in the treatment of major depressive episode. This trial will compare a novel form of personalized rTMS treatment protocol guided by neuroimaging biomarkers to the sham stimulation.The personalized selection of stimulation parameters, such as stimulation site, frequency and magnetic pulse number, will be determined by neuroimaging biomarkers. The study aims to propose a novel personalized neuroimaging-guided rTMS strategy, to evaluate the efficacy and safety of the treatment, further to understand the biological mechanism of the personalized rTMS treatment.