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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
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author Quaranta, Davide
Marra, Camillo
Gainotti, Guido
author_facet Quaranta, Davide
Marra, Camillo
Gainotti, Guido
author_sort Quaranta, Davide
collection PubMed
description 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.
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spelling pubmed-52942562017-04-02 Post-Stroke Depression: Main Phenomenological Clusters and their Relationships with Clinical Measures Quaranta, Davide Marra, Camillo Gainotti, Guido Behav Neurol Research Article 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. IOS Press 2012 2012-02-20 /pmc/articles/PMC5294256/ /pubmed/22713379 http://dx.doi.org/10.3233/BEN-2012-110236 Text en Copyright © 2012 Hindawi Publishing Corporation and the authors. http://creativecommons.org/licenses/by/3.0 This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Quaranta, Davide
Marra, Camillo
Gainotti, Guido
Post-Stroke Depression: Main Phenomenological Clusters and their Relationships with Clinical Measures
title Post-Stroke Depression: Main Phenomenological Clusters and their Relationships with Clinical Measures
title_full Post-Stroke Depression: Main Phenomenological Clusters and their Relationships with Clinical Measures
title_fullStr Post-Stroke Depression: Main Phenomenological Clusters and their Relationships with Clinical Measures
title_full_unstemmed Post-Stroke Depression: Main Phenomenological Clusters and their Relationships with Clinical Measures
title_short Post-Stroke Depression: Main Phenomenological Clusters and their Relationships with Clinical Measures
title_sort post-stroke depression: main phenomenological clusters and their relationships with clinical measures
topic Research Article
url 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
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