Post-stroke depression: Main phenomenological clusters and their relationships with clinical measures

Davide Quaranta, Camillo Marra, Guido Gainotti

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)303-310
Number of pages8
JournalBehavioural Neurology
Volume25
Issue number4
DOIs
Publication statusPublished - 2012

Keywords

  • factor analysis
  • Post stroke depression Rating Scale
  • Post-stroke depression

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Clinical Neurology
  • Neurology

Fingerprint Dive into the research topics of 'Post-stroke depression: Main phenomenological clusters and their relationships with clinical measures'. Together they form a unique fingerprint.

  • Cite this