View clinical trials related to Depressive Disorder.
Filter by:Post-partum depression is defined as a depressive disorder with onset of symptoms in the year following childbirth. Several international studies have reported a prevalence of this condition of around pathology of around 15%. Santé publique France's 2021 national perinatal survey corroborated these figures, finding a prevalence of post-partum depression in France of in France of 16.7%. It is therefore a frequent pathology that can cause complications for both mother and child. The complications both for the mother and for the mother-child bond. Indeed, post-partum depression can lead to an increased risk of infanticide, weaker mother-child attachment, and altered parental behaviour. post-partum depression can lead to maternal suicide (the second leading cause cause of maternal mortality in France). Despite the potential seriousness of severe depression and its impact on the on the mother-child bond, just under half of those suffering from severe depression suffering from severe depression consult a healthcare professional. Fear of being judged or stigmatised, linked to misperceptions about the episode, is one of the main obstacles to consultation. Of being judged or stigmatised, linked to erroneous representations of the depressive episode. Given the scale of this condition, and the difficulties young mothers face in seeking help for young mothers to seek help, it is vital to screen postpartum women as widely and post-partum women as early as possible. In view of the extent of this condition and the difficulties young mothers have in seeking help for young mothers, it is vital to screen post-partum women as widely and as post-partum. With this in mind, from July 2022, a compulsory early post-natal interview has been introduced, designed to screen for postpartum depression.
The study aims to investigate the efficacy of a psychoeducational program as an adjunctive treatment for depression. The study will involve 338 patients diagnosed with Major Depressive Disorder (MDD) of moderate severity. Participants will be randomly assigned to receive either Treatment as usual (TAU) alone or TAU plus the psychoeducational program. The program consists of six weekly group sessions covering information and techniques for coping with depression. Primary outcomes include a reduction in depressive symptoms measured by the Beck Depression Inventory-II (BDI-II) and increased knowledge of depression. Secondary outcomes include improvements in functionality and quality of life. The study aims to provide insights into the effectiveness of psychoeducation in improving outcomes for individuals with depression
This randomized controlled trial investigated 12 weeks of physical activity or to 12 weeks in a waiting control condition in youth aged 15 to 24 years old affected by displacement.
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.
Randomized, multi-site, sham-controlled, double-blinded study
Mood disorders, such as depression and bipolar disorder, are difficult to treat. One reason is that there are no objective ways to measure how these disorders affect the body and respond to different treatments. In this study, researchers want to perform tests on people undergoing clinical care for mood disorders. The purpose is to understand the experience of receiving treatment for depression, bipolar disorder, and suicide risk. We also hope that this study will help us to predict which medications will improve thoughts of suicide. People 18 years or older who are receiving treatment for depression, bipolar disorder, or suicide risk may take part in this study. Participants must have also been enrolled in protocol 01-M-0254. This study will be conducted at the NIH Clinical Center in Bethesda, MD. The study typically lasts up to 12 weeks, but may last longer if a participant s treatment continues past that time. Participants will have weekly interviews and questionnaires while they are being treated for their mood disorder. Other tests are optional and include psychological testing, blood draws, sleep tests, and imaging scans. These will be done at the start and the end of research participation....
The study utilizes a non-invasive deep brain stimulation (temporal interference, TI) technique primarily targeting the amygdala to preliminarily explore the clinical efficacy and potential mechanisms of MRI-compatible TI technology in regulating the amygdala in depressive disorders, providing a more comprehensive basis for the application of TI technology.
This is a pilot randomized controlled trial of an adaptive 8-week text messaging intervention for depression self-management. Among 100 individuals with elevated depression symptoms, we will compare the effects of 8 weeks of the adaptive text messaging intervention (n=40) to 8 weeks of a non-adaptive text messaging intervention (n=40), and 8 weeks of a psychoeducation-only intervention (n=20). We will include a 6-month post-treatment follow-up to verify that treatment gains are maintained. Both messaging arms will receive 8 weeks of daily text messaging. Messages will prompt learning and applying cognitive and behavioral self-management strategies. Whereas the non-adaptive messaging system will randomly select daily messaging styles (representing a variety of self-management strategies and message tones), the adaptive messaging system will apply reinforcement learning to select daily messaging styles to maximize user engagement. Text messages will also be used to solicit feedback such as message ratings to inform the reinforcement learning algorithm (if applicable). The psychoeducation control group will receive a few brief text messages per week providing weblinks to access psychoeducation information. We will recruit participants through digital methods (e.g., advertising on social media platforms like Facebook and Instagram). Administration of study measures will occur at baseline, weeks 4 and 8, and 3-month and 6-month follow-up. The primary outcomes is depression symptom severity (PHQ-9). Secondary outcomes are: anxiety severity (GAD-7) and suicidality (DSI-SS). Using an Intention to Treat paradigm, we will test our hypothesis that: H1: Relative to the psychoeducation-only control, messaging interventions will reduce depression (H1a) and anxiety and suicidal ideation (H1b). H2: Relative to non-adaptive messaging, adaptive messaging will reduce depression (H1a) and anxiety and suicidality (H2b). H3: Adaptive messaging will reduce depression relative to non-adaptive messaging by producing greater objective and subjective engagement.
This study aimed to evaluate the caregiving burden and severity of depression in patients with right hemiplegia and left hemiplegia.
This interventional study is conducted with the goal of comparing the efficacy of traditional Buddhist mindfulness training versus secular mindfulness based cognitive therapy among patients with depressive disorders. We are also interested in studying how these interventions compare in terms of preventing further relapses of depression. Additionally, this study aims to identify factors that influence the efficacy of this intervention, such as self-report mindfulness, self-compassion, and religiosity.