View clinical trials related to Depressive Disorder.
Filter by:The objective of this study is to make a massive suicide risk and social behavior assessment in 24 pre-graduate education centers in Mexico City (approximately 30,000 students aged between 15 and 22 years), taking also into account other outcomes such as depression, anxiety, alcohol and drugs. For this, an app for Smartphone (MeMind) or a web platform (www.MeMind.net) will be used in which the participants will take a self-administered questionnaire, composed of several psychometric instruments. Our main hypothesis is that identification of suicide risk in the Mexico City's student community is feasible using their own smartphones and can serve as both a population screening tool for early specialist referral, as well as a tool for evaluating social behavior strategies and their relation to suicide behavior.
The objective of this study is to make a suicide screening in the entire population of Milpa Alta (approximately 150,000 inhabitants), taking into account other outcomes such as depression, anxiety, alcohol and drugs. For this, an app for Smartphone (MeMind) or a web platform (www.MeMind.net) will be used in which the participants will take a self-administered questionnaire, composed of several psychometric instruments . It is expected that 70% of the population between 15 and 70 years old can do so directly with their own Smartphone, although web access posts will be enabled in educational and municipal units to avoid discrimination based on age or access to technology. Our main hypothesis argues that the early identification of people at risk in almost the entire community can be done with an App for Smartphone, serving to depict a map of mental health and related needs of the population, serving for the planning of healthcare services of the local environment, and ultimately for the best assistance of groups and individuals with greater needs through their identification and early reference to medical assistance.
Major depression (MD) in youth is a serious psychiatric illness with extensive morbidity and mortality. The American Academy of Pediatrics recently released practice guidelines promoting primary care (PC)-based youth MD screening; however, even when diagnosed by PC providers, <50% of youth with MD access treatment. Thus, a need exists for interventions that are feasible for youths and parents to access and complete—and that may strengthen parents' likelihood of pursuing longer-term services. Single-session interventions (SSIs) may help forward these goals. SSIs include elements of comprehensive treatments, but their brevity makes them easier to disseminate at scale. Meta-analytic evidence suggests SSIs can reduce youth psychopathology, including self-administered (e.g., online) SSIs. One computer-based SSI, teaching growth mindset (GM; viewing personal traits as malleable), has reduced adolescent depressive symptoms in multiple RCTs. A second computer-based SSI was recently developed to reduce youth depressive symptoms via targeting reductions in self-hate—a symptom identified as important for the maintenance of other depressive symptoms in teenagers. This study will test whether either the growth mindset SSI (GM-SSI), the self-kindness SSI (SK-SSI), or both SSIs reduce symptoms of depression in adolescents, relative to an active "supportive therapy" SSI, which teaches adolescents to share their emotions with trusted others. Youths participating in existing research through the Healthy Brain Network (N=501) will receive either the growth mindset SSI (GM-SSI), the self-kindness SSI (SK-SSI), or the supportive therapy SSI (ST-SSI). The investigators will examine whether the GM-SSI and/or the SK-SSI, versus the ST-SSI will reduce youth depressive symptoms across three months. Results may identify two novel, potent, and brief interventions for adolescent depressive symptoms.
The present study aims to develop a new predictive index to predict future depression of adolescents by using factors including individual, interpersonal and environmental. The index can be used to predict likelihood of students who are non-probable depression cases convert into probable depression cases. In addition, the investigators also test the factors of depression remission. It can hence be used in school setting to identify high-risk students, and provide them with secondary interventions that are designed by considering modifiable significant variables identified in this unique, large-scale, longitudinal study.
The Clinical Decision Aid (CDA) is a predictive model that takes as input individual patient characteristics, called 'features', which are inputted by the physician or by patient self-report, and outputs a list of possible treatments, with each treatment associated with a predicted efficacy (likelihood to achieve response and likelihood to achieve remission, each expressed as a percentage). The treatments, which may include any approved treatment for depression, will be presented to the physician who will then make a treatment choice.
Develop a NIRSIT testing protocol that can be administered in the diagnostic setting and reliably distinguishes the symptoms and severity of depression, with the help of repeated measure (up to five visits per subject) comparison of patients being treated for Major Depressive Disorder with control, non-depressed subjects.
This is an observational neuroimaging study assessing the effects of ECT on the brains of patients with unipolar and bipolar depression.
The primary goal of this project was to examine the antidepressant effects of yoga as an alternative treatment for depression as compared to no treatment and aerobic exercise. The secondary goal of this project was to examine relevant physiological (i.e., heart rate, blood pressure, cortisol levels) and psychological variables (i.e., perceived hassles, rumination, mindfulness) that may underlie the antidepressant effects of Bikram yoga and aerobic exercise.
Synopsis Aim: The purpose of the study is to determine the stimulus of electrical current during electroconvulsive therapy (ECT) that produces the optimal balance between antidepressant effect and memory disturbance. Specifically, this study aims to compare the 0.5 ms and 1.0 ms pulse width stimuli. Design: National, register-based randomized trial, unmasked with two treatment arms. Primary objective: To test the hypothesis that a 1.0 ms pulse width stimulus produces a higher remission rate (< 11 on the MADRS-S) than a 0.5ms pulse width stimulus. Secondary objectives include testing for differences in: self-rated global health measured with the EQ5D-VAS subjective memory worsening (increase of 2 on the memory item of the CPRS) antidepressive response (decrease of 50% on the MADRS-S) number of ECTs in the treatment series readmission and suicide rate within 6 months Study population: patients with unipolar or bipolar depression. Sample size: 800 patients, 400 patients in each arm. Inclusion criteria: At least 18 years of age at the time of inclusion Diagnostic criteria fulfilled for unipolar, or bipolar depressive episode according to ICD-10. An indication for and accepting ECT A Swedish personal identity number. Capable of giving informed consent. Exclusion criteria: If the investigator judges a certain pulse width to be inappropriate for the patient. Inclusion time 2019-05-01-2022-11-15. Abbreviations 1. CGI: Clinical Global Impression Scale 2. CPRS: The Comprehensive Psychopathological Rating Scale 3. ECT: Electroconvulsive therapy 4. EQ5D: EuroQual-group 5 Dimensions Scale 5. ICD-10: International Statistical Classification of Diseases and Related Health Problems. - 10th revision, 6. MADRS-S: Montgomery-Åsberg Depression Rating Scale, self assessed version. 7. Q-ECT: Swedish national quality register for ECT 8. VAS: Visual analogue scale
The investigators investigated the effects of high frequency (10Hz) repetitive transcranial magnetic stimulation (rTMS) on the symptoms and cognitive functioning in patients with psychiatric disorders