View clinical trials related to Depressive Symptoms.
Filter by:The purpose of this study is to assess the effects of simultaneous administration of oral aspirin and oral ketamine as a therapeutic for those with Treatment Resistant Depression.
The study aims to evaluate the effectiveness of the transdiagnostic program Super Skills for Life (SSL). This protocol targets children aged 8 to 12 with emotional problems (anxiety, depression, low self-esteem, and lack of social skills). SSL consists of eight sessions targeting common risk factors for internalizing disorders such as cognitive distortions, avoidance, emotional management, low self-esteem, social skills deficits, and coping strategies. The present research focuses on assessing the effectiveness of SSL applied online (through a virtual platform).
More than 1 million people in Europe suffer from Parkinson's disease (PD), a brain disorder manifesting with a motor syndrome and several non-motor features. Neuropsychiatric symptoms, like anxiety and depression, are common in patients with PD, and has profound effects on quality of life and activities of daily living of the patient, and caregiver burden. Cognitive behavioral therapy (CBT) has proven efficient for depressive symptoms, but treatment availability to the general patient with PD is low. Thus, there is an urgent need for individualized remote approaches that can be of benefit to patients on a national scale. This study is a remote, randomized delayed start trial of the effectiveness of videoconference based cognitive behavioral therapy (eCBT) for PD patients with depressive symptoms. N=120 participants with PD and depressive symptoms will be recruited from neurological clinics across four health regions in Norway and self-reference, and randomized into two arms: (A) immediate eCBT with concurrent with TAU and (B) a delayed start (14 weeks) of eCBT with TAU alone. Patients will be assessed at baseline before allocation to treatment, with followed up evaluations 14, 28 and 42 weeks after baseline. The trial is designed as a state-of-the-art remote clinical trial, that can be easily implemented existing health services, resulting in a rapid implementation and improvement of treatment for patients with PD, and potentially large translational value to other brain disorders.
The primary objective for this project is to test whether affective executive functioning is a mechanism of action of mindfulness-based cognitive therapy and Wellness for Wellbeing. The main questions it aims to answer are: 1. Test the effect of MBCT vs. Wellness for Wellbeing on affective inhibition (i.e., emotionally valenced inhibition as measured via the affective Go/No Go task) using an RCT. 2. Test the effect of MBCT vs. Wellness for Wellbeing on (a) affective updating and (b) affective shifting. Outcomes will be measured with the affective n-Back and the affective Internal Switching Task, respectively. 3a) The investigators will examine whether depression symptom severity co-varies with change in affective executive functioning (i.e., affecting inhibition, shifting, and updating) over time. 3b) The investigators will examine whether compliance with treatment protocol (e.g., number of classes attended, amount of home practice) predicts endpoint executive functioning. Participants will complete surveys, interviews, and computer tasks, and will be randomized to either Mindfulness-Based Cognitive Therapy or Wellness for Wellbeing.
This study will explore the functioning of a mobile transdiagnostic emotion regulation intervention designed for university students to optimize the uptake and the effectiveness of the intervention.
The researchers propose a three-arm pilot study of Mindfulness-Based Cognitive Therapy (MBCT) delivered via telephone (Telephone), video (Video) or online education modules (Online).
Super Skills for Life (SSL) is a transdiagnostic cognitive-behavioral protocol developed for children aged 6 to 12 with anxiety and comorbid problems (e.g., depression, low self-esteem, and lack of social skills). SSL consists of eight sessions targeting common risk factors for internalizing disorders such as cognitive distortions, avoidance, emotional management, low self-esteem, social skills deficits and coping strategies. The aim of the study is to investigate the comparative effectiveness of SSL in its traditional and computerized versions on internalizing symptoms in Spanish children between 8 and 12 years of age.
Digital mental health interventions are a cost-effective and efficient approach to expanding the accessibility and impact of psychological treatments; however, little guidance exists for selecting the most effective program for a given individual. In the proposed study, decision rules will develop for selecting the digital program that is most likely to be the optimal intervention for each user. These treatment recommendations can be implemented in the context of large healthcare delivery systems to improve the delivery of digital mental health interventions at scale. The overarching aim of the current study is to better understand for whom and how leading digital interventions work in a large healthcare setting. The study builds on the existing literature and follows expert recommendations by using machine learning (ML) methods to develop precision treatment rules (PTRs) for three leading digital interventions for emotional disorders (e.g., anxiety, depression, and related mental health disorders). Specifically, ML methods will be used to develop PTRs to optimize clinical outcomes and associated intervention engagement. This study will leverage a unique partnership between Boston University (BU), SilverCloud Health (SC)--a leading provider of digital mental health care--and Kaiser Permanente (KP)--one of America's leading health care providers. A clinical trial (RCT) will be conducted to evaluate the relative effectiveness of three distinct empirically supported digital mental health interventions (from SC's existing library of programs) in a sample recruited from KP primary care and other clinical settings. Data from this trial will be used to develop theoretically and empirically informed, reliable selection algorithms for managing treatment delivery decisions. Algorithms will be validated in a separate "holdout" dataset by examining whether allocation to predicted optimal treatment is associated with superior outcomes compared to allocation to a non-optimal treatment. The role of user engagement will be determined, and other mechanisms in treatment outcome.
The primary objective of this study is to assess the impact of two strategies for coping with negative automatic thoughts (positive thinking and cognitive restructuring) on one's belief in negative thoughts and one's affect. Another main objective is to assess whether participating in a positive mood induction (versus no mood induction) prior to using one of the two coping strategies impacts belief in negative thoughts and affect. We will also explore the interaction between strategy condition and mood induction condition. As secondary outcomes, we will evaluate whether there are changes in positive thinking skills and cognitive restructuring skills and depressive symptoms after one week of using the strategy.
The main objective of this project will be to verify if the insertion of diaphragmatic, cardiorespiratory and strength breathing exercises and cooperative sports activities in Physical Education classes, during a period of 12 weeks, may be able to modify the scores of symptoms of anxiety and depression in adolescent students. As secondary objectives, this project will seek to verify which of the interventions will provide the greatest reductions in students' anxiety and depression symptoms, as well as analyze their effects on other health indicators, also verifying if a greater volume of sessions can provide additional benefits to mental health. when compared to a smaller volume. This is an experimental study, of the randomized clinical trial (RCT) type. The target population will be adolescent students (14 to 19 years old) from the Federal Institute Sul-rio-grandense (IFSul) on the Bagé and Pelotas campuses. A total of 16 classes will compose the sample. The classes that have the Physical Education (PE) curriculum component in their schedule will be listed and randomized in relation to the comparator group (CG) and to the three different intervention protocols: diaphragmatic breathing exercises (intervention group 1 or GI-1), physical exercises cardiorespiratory and strength activities (intervention group 2 or GI-2) and cooperative sports activities (intervention group 3 or GI-3). The application of these interventions will occur during PE classes, twice a week at Campus Bagé and three times a week at Campus Pelotas. Interventions will last 15 minutes in groups GI-1 and GI-2, and 20 minutes in GI-3. Before the start of the intervention, baseline assessments will be carried out, consisting of primary outcomes (symptoms of anxiety and depression) and secondary outcomes (self-concept, quality of life, sleep indicators, self-perception of physical fitness, cognitive failures, strength and cardiorespiratory fitness). The groups will be compared regarding the characteristics collected at baseline and after the 12th week of intervention. The Generalized Estimating Equations (GEE) and the post-hoc Bonferroni test will be used to compare the moments (pre and post-intervention) between the groups and to identify the group*moment interaction. Analyzes will be performed by protocol and by intention to treat. The significance coefficient adopted will be p<0.05.