Clinical correlates of depressive symptoms in familial Parkinson's disease
Year: 2008
Type: article
Study design: Observational Study
Abstract: Depression is one of the most common nonmotor complications of Parkinson's disease (PD) and has a major impact on quality of life. Although several clinical factors have been associated with depression in PD, the relationship between depression and stage of illness as well as between depression and degree of disability remains controversial. We have collected clinical data on 1,378 PD cases from 632 families, using the Unified Parkinson's Disease Rating Scale (UPDRS) Parts II (activities of daily living) & III (motor), the Mini-Mental State Exam, the Geriatric Depression Scale (GDS), and the Blessed Functional Activity Scale (Blessed). Analyses were performed using the 840 individuals with verified PD and without evidence of cognitive decline. Logistic regression was used to identify study variables that individually and collectively best predicted the presence of depressive symptoms (GDS >or= 10). After correcting for multiple tests, depressive symptoms were significantly associated with Hoehn and Yahr stage and other clinical measures but not with any genetic variant (parkin, LRRK2, APOE). The Blessed score, education, presence of a first degree relative with signs of depression, and UPDRS Part II were found to best predict depressive symptomatology (R(2) = 0.33; P = 4 x 10(-48)). Contrary to several reports, the results from this large study indicate that stage of illness, motor impairment, and functional disability are strongly correlated with depressive symptoms.
Source: Movement Disorders
DOI: 10.1002/mds.22285
Institutions: Indiana University Indianapolis, Indiana University School of Medicine, Indiana University – Purdue University Indianapolis, Columbia University, University of Rochester Medicine, University of Rochester, University of California San Diego, VA San Diego Healthcare System, Cincinnati Children's Hospital Medical Center, University of Cincinnati
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2068410102
