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Post-Stroke Depression: Main Phenomenological Clusters and their Relationships with Clinical Measures

Objectives: To investigate the principal psychopathological dimensions of post-stroke depression (PSD) through the assessment of the factorial structure of the Post-Stroke Depression Rating Scale (PSDRS). Methods: We enrolled ninety-eight subjects with PSD, who underwent the PSDRS, MMSE and Barthel...

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Detalles Bibliográficos
Autores principales: Quaranta, Davide, Marra, Camillo, Gainotti, Guido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294256/
https://www.ncbi.nlm.nih.gov/pubmed/22713379
http://dx.doi.org/10.3233/BEN-2012-110236
Descripción
Sumario:Objectives: To investigate the principal psychopathological dimensions of post-stroke depression (PSD) through the assessment of the factorial structure of the Post-Stroke Depression Rating Scale (PSDRS). Methods: We enrolled ninety-eight subjects with PSD, who underwent the PSDRS, MMSE and Barthel Index. Information about demographic, clinical, and neuroanatomical factors was collected. Results: The factor analysis extracted three factors accounting for 63.4% of the total variance, and identified as: (1) “Depressive and Anxious Symptoms“ (DAS); (2) “Lack of Emotional Control” (LEC); 3) “Reduced Motivation” (RM). On multivariate statistics, DAS severity was predicted by previous history of mood disorders and Barthel Index; LEC severity was predicted by Barthel Index; RM severity was predicted by age. Conclusions: The PSDRS displayed a reliable factor structure that agreed with previous interpretation of PSD. In particular, core depressive symptoms seem to be related to premorbid personality and functional status, whereas apathy/anhedonia may be connected to brain aging.