View clinical trials related to Depressive Disorder.
Filter by:The study's primary objective is to evaluate the effectiveness of Tinazidine compared to Zolpidem in enhancing sleep quality, with secondary objectives including the assessment of adverse effects, safety profile, and patient tolerance with each treatment. The trial will be conducted as a double-blind RCT, with participants randomly assigned to receive either Tinazidine (0.1 mg/Kg/HS) or Zolpidem 10 mg HS, for 12 weeks. Eligible participants, aged 18-60 years, diagnosed with primary insomnia as per DSM-5 criteria, will be recruited from an outpatient sleep clinic affiliated with Al-Masara Hospital. Data on sleep quality, and side effects, will be collected using the Sleep Pittsburgh Sleep Quality Index (PSQI), Clinical Global Impression (CGI), sleep diaries, actigraphy, polysomnography, and regular clinical interview though OPD follow-up visits. The primary outcome considered was the mean global PSQI score before and after the treatment. The primary outcome will be measured four times (baseline, 4 weeks, 8 weeks, and 12 weeks), We considered an attrition rate (dropout/lost follow-up) of 10%. Therefore, the sample size is 90 subjects (45 in each group). Group comparisons for mean scores will be conducted using independent samples t-tests, and within-group comparisons will be assessed using paired samples t-tests. Changes in sleep quality over time between treatment groups will be evaluated using repeated measures ANOVA. Associations between categorical variables will be examined using Chi-square tests (including Fisher's exact or Likelihood ratio tests as appropriate). Statistical significance will be considered for p-values less than 0.05. All analyses will be performed using IBM SPSS Statistics (Version 29.0). The findings of this study seek to elucidate the comparative efficacy and safety profiles of Tizanidine and Zolpidem in treating primary insomnia. The study aims to offer insights into the effectiveness of Tizanidine versus Zolpidem in improving sleep quality among patients with primary insomnia. Through the evaluation of efficacy, adverse effects, and safety profiles. This study aims to inform clinicians and healthcare practitioners about the optimal treatment choices for individuals with primary insomnia.
Objective: To collect preliminary data and assess the preliminary effectiveness of a game-based digital therapeutics (DTx) intervention for individuals with symptoms of anxiety and depression, and to investigate whether reinforcement learning (RL) can personalize the intervention and enhance effectiveness. Design: Randomized controlled trial with three arms. Setting: Internet-based recruitment and delivery of the intervention. Participants: 223 individuals with symptoms of anxiety and depression, aged between 18 and 50 years. Interventions: Participants were randomly assigned to one of three groups: game-based DTx with RL algorithm (RL algorithm group), game-based DTx without RL algorithm (no algorithm group), and a blank control group. Main Outcomes and Measures: The primary outcomes were reductions in symptoms of anxiety and depression, measured using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder 7-item scales. Response rates and rates of recovery, as well as the impact of demographic variables, were also examined.
The goal of this observational study is to confirm the impact of using this app adapted to be more specific for screening for 5 neurodevelopmental disorders and to evaluate the mothers' support program on the incidence of postpartum depression in of young parents with a minimum of 1 child under 10 years of age at the time of inclusion and using Malo on a regular basis. The main questions it aims to answer are : - the median age of possible neurodevelopmental disorders notification of infants - the median time of the mothers' postnatal depression notifications after childbirth subsequently to the support and prevention program Participants will agree with use of their data
The prefrontal cortex, although well established as an efficacious target for the treatment of major depressive disorder (MDD), has recently come into favour as a therapeutic target for alcohol use disorders (AUD). Depressive symptoms are also highly prevalent in individuals with AUD. A number of cognitive and psychological processes stemming from the prefrontal cortex, a common treatment target for repetitive transcranial magnetic stimulation (rTMS), are disrupted in both MDD and AUD. The proposed study will enhance the development of theta burst stimulation (TBS) as a new intervention for AUD in the context of depressive symptoms and uses integrated TMS-EEG to identify neurophysiological targets of executive dysfunction in this disorder.
The goal of this randomized controlled trial is to compare the impact of an integrated intervention combining poverty alleviation and depression treatment to depression treatment alone, in low income rural Bangladeshi women with depression. The main question[s] it aims to answer are: 1) whether adding poverty alleviation to depression treatment in an integrated intervention improves depression outcomes at 24 months, as assessed by depressive symptoms and by the presence or absence of relapse; and 2) whether adding poverty alleviation to depression treatment improves implementation outcomes including treatment uptake and retention. Participants in both arms will participate in interviews at 6,12,18 and 24 months.
PROSPECTIVE INTERVENTION STUDY; EFFICACY OF WEB-BASED ACCEPTANCE AND COMMITMENT THERAPY
The current best practice guidelines for treating depression call for close monitoring of patients, and periodically adjusting treatment as needed. This present study seeks to develop and investigate an innovative digital system, DepWatch, that leverages mobile health technologies and machine learning tools to provide clinicians objective, accurate, and timely assessment of depression symptoms to assist with their clinical decision making process. Specifically, DepWatch collects sensory data passively from smartphones and wristbands, without any user interaction, and uses simple user-friendly interfaces to collect ecological momentary assessments (EMA), medication adherence and safety related data from patients. The collected data will be fed to machine learning models to be developed in the project to provide weekly assessment of patient symptom levels and predict the trajectory of treatment response over time. The assessment and prediction results are then presented using a graphic interface to clinicians to help them make critical treatment decisions. The main question the present clinical trial aims to answer are as follows: 1. Feasibility of the digital tool, DepWatch, to assist clinicians in depression treatment and inform their clinical decision process 2. Effectiveness of the digital tool, DepWatch, to improve depression treatment outcomes All study participants will carry the DepWatch app on their smartphones and wear a Fitbit provided by the study team during the study period. They will also complete brief questionnaires via the app at specific time intervals throughout the study period.
The goal of this interventional study is to compare the baseline neural mechanisms and parenting in depressed and non-depressed children and to examine baseline neural mechanisms and parenting as predictors of Family-Focused Treatment for Childhood-Depression (FFT-CD) outcomes. The main questions it aims to answer are: - What are differences between depressed and non-depressed participants on baseline neural and parenting indicators? - Do baseline neural and parenting indicators predict response to FFT-CD? - Does change in parenting and neural functioning mediate change in depression from baseline to follow-up? Participants will: - complete baseline clinical measures - complete neuroimaging tasks via Functional Magnetic Resonance Imaging (fMR) - undergo a 12-session course of FFT-CD - complete follow up evaluations and neuroimaging
Patients with depression are at a substantially increased risk of chronic physical disease including cardiovascular disease. This may be attributed primarily to an unhealthy lifestyle related to their disorder. Interestingly, the unhealthy lifestyle feeds back to decreased quality of life and increased depressive symptoms, thus creating a hazardous vicious circle. Consequently, there is a great potential for 'Lifestyle Medicine' for depression. Yet, it is known that patients with depression often have motivational and self-management problems. Therefore an 18 session multimodal lifestyle intervention (MLI) specifically tailored to the needs of depressed patients was developed and piloted in mental health care, with promising results. This research aims to investigate using a process evaluation the feasibility of this MLI in general practice because this is the setting where the majority of patients with depression are treated and results from mental health care are unlikely to apply.
The purpose of this research study is to test the study drug, NORA520, as a possible treatment for severe postpartum depression (PPD). The trial aims to determine: - How well NORA520 is tolerated and what side effects it may cause - If NORA520 reduces depressive symptoms in subjects with severe PPD - The amount of NORA520 in the blood at various times after taking the study drug; this provides information that helps determine how often NORA520 should be taken - In a subset of subjects, the amount of NORA520 in breastmilk at various times after taking it to determine if and how much NORA520 can pass into breastmilk Participate in this study will be randomly assigned to one of 3 different groups. All subjects will take the study drug for 3 days.