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Background: Transdiagnostic psychotherapies are designed to apply the same underlying treatment principles across a set of psychiatric disorders, without significant tailoring to specific diagnoses. Several transdiagnostic psychotherapy protocols have been developed recently, each of which has its own strengths and weaknesses. One promising treatment is Transdiagnostic Behaviour Therapy (TBT), in that it is one of the few transdiagnostic treatments to date shown to be effective in patients with depressive and anxiety disorders. However, TBT has only been investigated via individual psychotherapy.
Aims: The present study investigated the effectiveness of a group protocol for TBT, compared with disorder-specific group psychotherapies, in a naturalistic setting.
Method: 109 participants with various diagnoses of affective disorders completed either group TBT (n = 37) or a disorder-specific group psychotherapy (n = 72). Measures included assessments of psychiatric symptomatology and transdiagnostic impairment at baseline and post-treatment.
Results: Overall, participants in the TBT group demonstrated significant improvements across all measures. When compared with disorder-specific groups, no statistical differences were observed between groups across symptoms; however, participants in the TBT group demonstrated roughly twice the treatment effect sizes in transdiagnostic impairment compared with participants in the disorder-specific groups. In addition, when participants from the most well-represented diagnosis and disorder-specific treatment (social anxiety disorder) were investigated separately, participants in the TBT group demonstrated significantly larger improvements in comorbid depressive symptoms than participants in the disorder-specific treatment.
Conclusions: Pending replication and additional comparison studies, group TBT may provide an effective group treatment option for patients with affective disorders.
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http://dx.doi.org/10.1017/S1352465818000309 | DOI Listing |
Food Funct
September 2025
Department of Chemical and Pharmaceutical Engineering, College of Chemical Engineering, Huaqiao University, Xiamen, Fujian Province 361021, PR China.
Depression is a widespread mental health condition associated with impaired neuroplasticity and disrupted brain-derived neurotrophic factor (BDNF)/TrkB signaling. Black mulberry, rich in anthocyanins, shows promise as a natural intervention for its anti-oxidative and anti-inflammatory profiles. This study evaluated the antidepressant-like effects of black mulberry anthocyanins in mice subjected to chronic mild stress (CMS).
View Article and Find Full Text PDFJAACAP Open
September 2025
Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Objective: The bidirectional relationships between family functioning and adolescent depressive and anxiety disorders have been documented. However, categorical diagnostic criteria for these disorders often mask the high variability of symptom severity across individuals sharing the same diagnoses. Accounting for such heterogeneity, this study examined the associations between domains of family functioning and depression, anxiety, and anhedonia symptoms from the adolescent perspective using a dimensional approach.
View Article and Find Full Text PDFBJPsych Open
September 2025
Department of Rehabilitation Medicine, Namdarun Rehabilitation Clinic, Yongin City, South Korea.
Background: Depression is one of the most common mental diseases, leading to a decline in both psychiatric and physical functions. One non-pharmacological therapeutic strategy for the management of psychiatric disorders is music therapy.
Aims: To assess the clinical effectiveness of music therapy and its various subscales for managing depressive symptoms (primary outcome) and related problems (secondary outcome) in comparison with other conventional treatments.
Brain Behav
September 2025
Pontificia Universidad Javeriana, Facultad De Ciencias, Departamento de Biología, Biología de Plantas y Sistemas Productivos, Bogotá, Colombia.
Introduction: The study explores shared genetic architecture among major psychiatric disorders-major depressive disorder, bipolar disorder, schizophrenia, and post-traumatic stress disorder-emphasizing their overlapping molecular pathways. Using public datasets, we identified shared genes and examined their functional implications through protein-protein interaction (PPI) networks and gene set enrichment analysis (GSEA).
Methods: Genes associated with each disorder were identified through the NCBI Gene database.