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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2012
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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. |
format | Online Article Text |
id | pubmed-5294256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
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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