The 3-Item “Apathy” Subscale Within the GDS-15 Is Not Supported in De Novo Parkinson’s Disease Patients: Analysis of the PPMI Cohort

Sarah M. Szymkowicz, Liam J. Ellis, Pamela E. May

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study examined individual components of the Geriatric Depression Scale-15 (GDS-15) to determine whether the 3-item Withdrawal-Apathy-Lack of Vigor (WAV) subscale, which has been validated in older adults and advanced Parkinson’s disease (PD), was applicable to newly diagnosed patients with PD. Baseline Parkinson’s Progression Markers Initiative (PPMI) data (n = 345), including GDS-15 and Movement Disorder Society—Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) depression, apathy, and anxiety scores, were examined. Data reduction techniques (i.e., principal components, confirmatory factor analyses) were used. Model fit was poor for the previously identified GDS-15 factor structures. Via principal components analysis, 5 components were identified, none of which reflected the 3-item WAV subscale previously reported in the literature. Internal consistency of the GDS-15 was acceptable, as was the internal consistency for the largest component (labeled “Dysphoria”). All 5 components significantly correlated with the MDS-UPDRS depression, apathy, and anxiety items. Model fit was fair for the “Dysphoria” factor only. Overall, the 3-item WAV factor reported in previous literature was not supported in this sample of de novo PD patients.

Original languageEnglish (US)
Pages (from-to)309-316
Number of pages8
JournalJournal of Geriatric Psychiatry and Neurology
Volume35
Issue number3
DOIs
StatePublished - May 2022

Keywords

  • depression
  • factor analysis
  • mood
  • newly diagnosed
  • psychometrics

ASJC Scopus subject areas

  • Clinical Neurology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health

Fingerprint

Dive into the research topics of 'The 3-Item “Apathy” Subscale Within the GDS-15 Is Not Supported in De Novo Parkinson’s Disease Patients: Analysis of the PPMI Cohort'. Together they form a unique fingerprint.

Cite this