Data Studio

Li Ka Shing Learning Center (LKSC)
Rm 209

DATE: November 15, 2017
TIME: 1:30 - 3:00 pm
TITLE: Identifying depression in Parkinson's disease using the BDI-II
INVESTIGATOR:
Kathleen L. Poston, Associate Professor of Neurology and, by courtesy, of Neurosurgery

 

Summary:

The Beck Depression Inventory II (BDI-II) is often used to evaluate depression in patients with Parkinson's disease (PD). However, the scale includes a number of somatic items that may be more reflective of PD motor symptoms than true depression. Our aim was to evaluate the effect of these somatic items on overall BDI-II scores, and more specifically to identify the factor structure of the BDI-II in PD. The BDI-II was administered to 82 well-characterized patients with PD. We conducted a principal component analysis as well as between-group comparisons of individual item scores. We did not have a "gold standard" test of depression, thus groups were defined by accepted BDI cut-offs. Despite this limitation, we hope to comment on the appropriateness of retaining somatic items when using the BDI-II to identify depression in PD.

Background readings:

Danny Brouwer, Rob R. Meijer and Jolien Zevalkink. On the Factor Structure of the Beck Depression Inventory–II: G Is the Key. Psychological Assessment 2013; 25:136-145.

J.R. Williams et al. A comparison of nine scales to detect depression in Parkinson disease: Which scale to use? Neurology 2012; 78:998-1006.