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The purpose of this study is to test the usefulness of a computer-assisted intervention for depressed cannabis users by combining peer and therapist social network support via Facebook that uses the techniques of cognitive behavioral therapy and motivational enhancement therapy (CBT/MET) to help with relapse prevention skills, reduce cannabis use and depressive symptoms, and improve treatment adherence. All participants will receive 10 weeks of the computer assisted intervention which includes weekly 60 minute (1 hour) sessions. All participants will also be part of a secret Facebook group (CONNECT). The goal of this secret Facebook group is to reinforce the knowledge and skills taught in the computer assisted intervention and to provide social support.
This study aims to explore the determinants of cognitive impairment among Indonesian geriatrics in an Old Age Home.
Main Objectives: In Chinese healthy subjects under both fasting and postprandial conditions, amitriptyline hydrochloride tablets (size: 25 mg) produced by Sandoz Inc., US Orange Book, were used as reference preparations. A single-dose oral reference preparation and amitriptyline hydrochloride tablets (size: 25 mg) produced by Hunan Dongting Pharmaceutical Co., Ltd., and the calculation of the drug by the time course of amitriptyline and its active metabolite, nortriptyline, in vivo The kinetic parameters were compared, and the relative bioavailability of the two was compared to evaluate bioequivalence, which provided the basis for the bioequivalence study of amitriptyline hydrochloride tablets by Hunan Dongting Pharmaceutical Co., Ltd. Secondary Objective: To monitor the safety of fasting and postprandial oral test and reference preparations.
Studies have shown that the risk of developing heart arrhythmias, is increased in patients receiving medication for Attention-deficit hyperactivity disorder (ADHD) and depression. The QT-interval on a electrocardiogram (ECG) is often used to assess the patients risk of developing heart arrhythmias. The QT-interval defines the hearts electrical resting period and a long interval is linked to an increased risk of developing heart arrhythmias. In this project the investigators wish to examine possible side-effects in patients receiving medication for ADHD and depression and their dynamic QT-interval changes, by analysing the ECG changes that occur during "Brisk Standing".
The overall goal of this study is to use the National Health and Aging Trends Study (NHATS) data to gain an understanding of how multiple chronic conditions impact the health outcomes of older adults with back pain.
Youth depression and anxiety represent a serious public health concern, with affected youth often experiencing social, familial, and academic impairment. Research evidence supports a growing array of effective treatments for youth depression and anxiety, yet as the collection of evidence-based treatments expands, so do the challenges of utilizing the evidence: clinicians must be able to (1) access, integrate, and apply the available evidence, and (2) engage in a collaborative process with each family to develop a plan that is responsive to each family's unique characteristics, preferences, and goals. Engaging caregivers and youths as active collaborators in the treatment planning process is a patient-centered approach with the potential to improve the process and outcome of youth mental health care by facilitating the personalization of established evidence-based treatment approaches. Such collaboration, frequently referred to as shared decision-making (SDM), is a hallmark of evidence-based practice and a key feature of federal guidelines for health care delivery. However, despite growing rhetorical support for SDM, empirical support is lacking, particularly in the area of youth mental health treatment. The absence of such research is unfortunate, given the potential for SDM to facilitate the dissemination and implementation of evidence-based treatments, and to personalize the use of established treatments to increase acceptability, retention, satisfaction, and overall effectiveness. The present project tests the feasibility and acceptability of SDM through a pilot randomized controlled trial of 40 youths (ages 7-15) meeting diagnostic criteria for an anxiety or depressive disorder. The trial will compare an evidence-based treatment that is planned collaboratively with youths and caregivers using the SDM protocol, to an evidence-based treatment that is planned by the clinician and supervisor using pretreatment assessment data. Eligible youths will received up to 26 treatment sessions at no cost and complete assessments prior to the start of treatment, at the end of treatment, and six months following the end of treatment.
The aim of the project is to establish a multimodal imaging approach for the investigation of the neural mechanisms underlying neuroreceptor regulation, glutamatergic metabolism and brain function that are of particular relevance for major depressive disorder (MDD) and that can be translated into clinical applications. There is growing evidence for imbalance with regard to glutamatergic neurotransmission in stress-related affective disorders. Further support for the hypothesis that dysfunctional glutamatergic signaling underlies major depressive disorder, and indeed that its reversal constitutes a potential efficacious mechanism of action, is provided by the evidence that pharmacological compounds active at the N-methyl-D-aspartate (NMDA) ionotropic glutamate receptor such as ketamine exert rapid antidepressant effects. As a tool compound ketamine enables the safe investigation of the brain region-specific effects of NMDA receptor antagonism in terms of glutamatergic neurotransmission, brain function and the association of these neural changes with emotional state, thereby allowing for increased understanding of the therapeutic mechanism of action. The possibility to simultaneously study brain perfusion (arterial spin labeling), functional brain activity (fMRI) and connectivity (resting state fMRI), neurometabolism (proton magnetic resonance spectroscopy) and metabotropic glutamate receptor densities (positron emission tomography) will unravel their functional interplay in the mechanisms underlying the regulation of mood and cognition. Combining those imaging modalities with treatment interventions in healthy subjects and depressed patients, this project aims at providing insight into the neuropharmacological effects of ketamine and its antidepressant properties.
The present study evaluates the effects of the visit prior to hospital admission on anxiety, depression and satisfaction of family in an intensive care unit.
The present study evaluates the effects of the visit prior to hospital admission on anxiety, depression and satisfaction of patients in an intensive care unit.
Major depression disorder (MDD) has high estimated lifetime prevalence rates of 16.6%. Currently, the diagnosis for the MDD mainly depends on patients' reports of symptoms, observed behaviors and disease course. Establishment of clinically useful biomarkers for the MDD diagnosis would enhance patient management and treatment effect, and lead to the therapies adjusted to the individual. However, no such biomarkers have been established up to now. Therefore, the development of objective and feasible biomarkers is of special significance and a great challenge for accurate and early diagnosis and treatment of depression, in order to overcome the limitations of relying on clinical interviews alone.The ability to correctly recognize emotional states from faces is instrumental for interpersonal engagement and social functioning. Impairments processing of facial emotional expressions and biased facial emotion detection are frequently found in the MDD patients. To date, the studies on neural mechanism of the facial emotion recognition of the MDD patients were mainly based on the functional magnetic resonance imaging (fMRI). Functional near-infrared spectroscopy (fNIRS) has not been applied for the facial emotion recognition for the depression patients up to now. To bridge the important gap in the literature, we used the fNIRS methodology to investigate the neural mechanisms of facial emotion recognition for the patients with depression. We hypothesize the physiological feature of the hemodynamic responses in prefrontal cortex measured by fNIRS under the task of face emotion recognition, including the difference of the median, the Mayer wave power, the mean cross wavelet coefficient, and the mean wavelet coherence coefficient, combined with the behavior measurement (behavior accuracy and response time), could provide a reliable and feasible diagnosis approach to differentiate patients with the MDD from healthy control (HC) subjects with acceptable sensitivity and specificity.