Anxiety and depressive disorders are common psychiatric conditions with high rates of co-occurrence. Although traditional cognitive-behavioral therapy (CBT) protocols targeting individual anxiety and depressive disorder diagnoses have been shown to be effective, such "single-diagnosis" approaches pose challenges for providers who treat patients with multiple comorbidities and for large-scale dissemination of and training in evidence-based psychological treatments. To help meet this need, newer "transdiagnostic" CBT interventions targeting shared underlying features across anxiety, depressive, and related disorders have been developed in recent years. Here we provide a rationale for and description of the transdiagnostic CBT model, followed by an overview of key therapeutic strategies included in transdiagnostic CBT protocols for patients with anxiety disorders and comorbid depression. We conclude with a brief review of the empirical evidence in support of transdiagnostic CBT for individuals with anxiety and depressive disorders and identify directions for future research.
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http://dx.doi.org/10.3928/00485713-20210414-01 | DOI Listing |
J Clin Psychopharmacol
December 2024
From the Albert Einstein College of Medicine, Bronx, NY.
Following a decades-long decline in psychedelic research resulting from social, political, and legislative factors, there has been greatly renewed interest in these compounds' ability to treat psychiatric disorders. Classic psychedelics, encompassing both natural and synthetic psychoactive compounds, are characterized by their action as agonists or partial agonists of serotonin 5-hydroxytryptamine 2A receptors. In this comprehensive review, we summarize the latest clinical trials of classic psychedelics on depression and anxiety, attending to the patient demographics and methodology of each study.
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany.
Background: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based on longitudinal speech data are helpful in predicting momentary depression severity. Data analyses were based on a dataset including 30 inpatients during an acute depressive episode receiving sleep deprivation therapy in stationary care, an intervention inducing a rapid change in depressive symptoms in a relatively short period of time.
View Article and Find Full Text PDFJ Interpers Violence
December 2024
The Pennsylvania State University, University Park, PA, USA.
Individuals who experience intimate partner violence (IPV) often report posttraumatic stress disorder (PTSD) and depressive symptoms and IPV-related head trauma (IPV-HT), which can also affect mental health. We aimed to estimate rates of IPV-HT and examine the unique associations of IPV, HT, and IPV-HT with PTSD and depression symptom severity in a community-based sample of cohabitating couples. A total of 413 participants (216 women, 1 non-binary) self-reported lifetime history of HT and physical IPV.
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