Active clinical trials for "Depression"

The primary aim is to prevent depression in youth and parents in a single, integrated family intervention. Hypothesis 1a: Children in the Family Depression Prevention (FDP) program will have significantly lower levels of anxious/depressive symptoms and fewer onsets of depressive episodes as compared to children in the Written Information (WI) condition. Hypothesis 1b: In parents, the amount of time in a depressive episode will be significantly lower for those in the FDP program as compared to those in the WI condition.

This study will provide data for evaluating the psychometric characteristics of the tests assessing cognitive flexibility, including their (1) internal consistency, (2) feasibility and tolerability, their (3) convergent and discriminant validity of cognitive and affective constructs such as those introduced to understand mental disorders, and (4) sensitivity (and correspondence) to individual differences. For these tests to be useful in studying clinical conditions, they must show adequate reliability, validity, and sensitivity in large samples of convenience.

The purpose of his study is to investigate the effect of physiotherapy protocol in management of depression in patients with fibromyalgia and in patients with psychogenic depression.

The goal of this clinical trial is to determine the impact of omega-3 fatty acids on the production of anti-inflammatory effects and clinical improvement in people with depression who have not responded well to standard antidepressant treatment. The main questions it seeks to answer are: Do omega-3 fatty acids added to ineffective antidepressant treatment increase production of compounds that reduce inflammation? Is the increase in these anti-inflammatory compounds associated with a stronger antidepressant effect? Participants taking antidepressants that have not worked completely will be assigned at random for a 12-week period to one of the following: an omega-3 preparation an inactive placebo During the course of the study, blood tests will be obtained for compounds associated with inflammation, and questionnaires to measure clinical improvement in depressive symptoms will be administered.

Rationale: Although there are effective treatments available for anxiety and depression, there is a large group of clients that does not benefit sufficiently from first-choice treatment. For this group of clients, no suitable alternative exists yet. One of the main hypothesis about maintaining factors is that there are underlying personality features that impede recovery. Schema focused therapy (SFT) is a transdiagnostic therapy focusing on underlying personality features. It has been proven to be an effective therapy for people with personality disorders and there are initial indications that SFT is also an effective treatment for anxiety and depressive symptoms. A short-term schema focused group therapy (SFGT) has been developed within GGZ-NHN, which is expected to benefit clients with persistent anxiety and depressive symptoms, but has not yet been studied. Objective of the study: In the present study the effectiveness of short-term SFGT (protocol of De Jager, Burger & Groot) on (1) persistent anxiety and depressive symptoms, and (2) early maladaptive schemas (EMS), experiential avoidance and the mode of the healthy adult will be investigated.

The goal of this clinical trial is to evaluate the effectiveness of the online 6-weeks Mindfulness-Based Cognitive Therapy (iMBCT) in depressed sample and compare the guided intervention to an unguided one. The main questions the study aims to answer are: To what extent completing iMBCT will reduce the severity of depressive symptoms in mild to moderately depressed sample? What are the differences in participants who completed the program or responded to treatment and those who discontinued it? What are the differences in treatment effect between two active conditions (guided and unguided iMBCT) and a passive one - waiting-list group? Researchers will compare two iMBCT interventions with a waiting-list group to assess the therapeutic effects of iMBCT on depression, anxiety and other measures related to the mental health.

The postpartum period is marked by significant changes in a woman's priorities, roles, and responsibilities. It is a stressful transition period in which one faces physical and emotional challenges. This stressful transition period. It can seriously affect women's mental health and psychosocial well-being. postpartum depression (PPD) is a common complication in women. PPD in about one in seven women can develop. In addition, PPD is one of the leading causes of maternal morbidity and mortality. Preventive psychosocial and psychological practices are effective in reducing the incidence of PPD. cognitive behavioralist therapy, interpersonal psychotherapy and psychoeducational interventions are among these practices. Counseling, which is traditionally considered as a psychological intervention, is very useful for midwives and nurses. supports a number of theoretical applications and perspectives. Therefore, in order to achieve effective and beneficial results, education should be based on defined and organized theories and models. midwifery and nursing Implementation of care based on a model increases the success of care outcomes. health education Some models in the field allow us to explain the occurrence of behavior and its effect on a particular behavior. Helps us run the health education program to evaluate So about PPD A model selection is necessary for the conceptual framework of knowledge. The model chosen is the change in behavior. should explain their predictive factors and their effects on PPD. Health education in midwifery and nursing and One of the most frequently used models in the promotion of human care is Watson's Theory of Human Care (IBT). This model is love, It consists of the concepts of compassion, respect, trust and people and is a care that evaluates the individual as a whole provides. When the literature is examined, although there are a few studies aimed at preventing PPD, it is seen that PPD is It has been observed that there is no study on model-based psychoeducational intervention in the prevention of In our study, Watson model applied to pregnant women in the prevention of PPD was used to eliminate this deficiency aimed to evaluate the effect of a psychoeducational intervention based on

Sexual minority stressors (e.g., sexual minority identity-based discrimination) contribute to greater risk for and severity of depression, anxiety, substance use disorders and suicide among sexual minority Veterans. However, no brief, scalable, one-on-one interventions targeting sexual minority stressor-related distress are available in Veterans Affairs (VA) for sexual minority Veterans. The proposed research will examine the feasibility, acceptability, and preliminary effectiveness of a brief, 3-session expressive writing intervention to target distress related to sexual minority stressor exposure among sexual minority Veterans. The results of this work will advance knowledge about a promising brief and easy to implement intervention focused on reducing depressive and anxiety symptoms among sexual minority Veterans. This proposal aligns with VA's and CSR&D's commitment to providing equitable services to sexual minority Veterans and the aim of reducing health disparities among underserved Veteran groups.

Based on robust evidence from literature, the investigators hypothesize the presence of disease-specific neurobiological underpinnings for bipolar and unipolar disorder, which may serve as biomarkers for differential diagnosis. However, the group comparison approaches adopted in psychiatric research fail to translate the emerging knowledge to the diagnostic routine. How can physicians predict differential diagnosis and treatment response by using cutting-edge knowledge obtained in the last decade? How can such extensive knowledge be useful and applicable in clinical practice? With this project, the investigators propose a solution to these challenges by developing a software tool that integrates the available clinical, biological, genetic and imaging data to predict diagnosis and outcome of new individual patients. The decision support platform will employ artificial intelligence, specifically machine learning techniques, which will be "trained" through data in order to predict the category to which a new observation belongs to. By doing this, existing and newly acquired multimodal datasets of bipolar and unipolar patients will be translated into predictors for personalized patient diagnosis and prognosis. The project can have a great impact on psychiatric community and healthcare system. Identifying predictive biomarkers for UD and BD will provide an essential tool in the early stages of the disease, ensuring accurate diagnosis, enhancing prognosis and limiting health care costs. The investigators will recruit 80 bipolar patients, 80 unipolar patients and 80 healthy controls for the MRI study. Clinical, genetic and inflammation data will be acquired from all subjects. The following data will be obtained: age, gender, number of episodes, recurrence, age of illness onset, lifetime psychosis, BD or UD familiarity, tempted suicide, medication, scores at HDRS, Beck Depression Inventory and BACS battery. MRI will be performed on 3.0 Tesla scanners. MRI acquisitions will include SE EPI DTI, T1-weighted 3D MPRAGE and fMRI sequences during resting state and a face matching paradigm, which previously allowed defining the connectivity in mood disorder. Blood samples samples will be collected and plasma will be extracted and stored at -80. Pro- and anti-inflammatory cytokines will be measured using the Bioplex human cytokines 27-plex. Genetic variants associated considered for differential diagnosis will be evaluated using the Infinium PsychArray-24 BeadChip. This cost-effective, high-density microarray was developed in collaboration with the Psychiatric Genomics Consortium for large-scale genetic studies focused on psychiatric predisposition and risk. The relevance of the single clinical, genetic, molecular and image-based features as bipolar and unipolar disorder signatures will be evaluated by considered the cutting-edge literature and estimated on a independent already existing dataset (30 subjects per group). General Linear Model analyses followed by two sided t-tests will be used to identify whether each parameter significantly differs among groups, while removing the contribution of age, gender, length of illness and other confounding factors. A multiple kernel learning (MKL) algorithm will project the multisource features to a higher-dimensional space where the three subject groups will be maximally separated. The selected features will be used both separately and in combination. The nuisance effects of age, gender, length of illness and MRI system will be corrected during the training phase of the algorithm. The MKL classifier will be tested using a k-fold nested cross-validation strategy with hyperparameter tuning. The training dataset is already made available and includes about 550 subjects. The software architecture will be designed in Matlab environment by integrating quantitative imaging methods, machine learning algorithm and statistical analyses as separate modules in a user-friendly interface, which will facilitate the sharing of computational resources in the clinical community.

The goal of this interventional study is to examine the efficacy of the online mindfulness-based cognitive therapy program(MBCT) in youth (18-25 years old) with depressive symptoms. The main questions it aims to answer are: Whether the program could reduce depressive symptoms in university students. Whether the program could increase quality of life in university students. The effectiveness, acceptance, and practicability of the program for university students. Participants in the experimental group would be arranged to attend online mindfulness-based cognitive programs for eight weeks. The control group would be educated the knowledge of mental health to manage their negative emotions.