The factor structure of the center for epidemiologic studies depression scale in stroke patients

Top Stroke Rehabil. 2012 Jan-Feb;19(1):54-62. doi: 10.1310/tsr1901-54.

Abstract

Purpose: The purpose of this study is to investigate the factor structure of the Center for Epidemiologic Studies Depression (CES-D) scale in community-residing stroke patients.

Methods: The sample for this study was a convenience sample of 203 persons who had experienced strokes and were in a convalescent center for the disabled and a primary care unit in Korea. Data were collected through a questionnaire that included the CES-D scale. Cognitive function was assessed by the validated Korean version of the Mini-Mental State Examination (MMSE-K). The structure of the CES-D scale was analyzed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using SPSS 17.0 and Amos 7.0. The reliability of the CES-D scale was assessed by calculating the internal consistency of Cronbach's α.

Results: The 1-, 3-, and 4-factor models did not show the adequate fit indices. Two competing factor models were tested by CFA for the entire sample after identifying the factor structure using EFA. The 5-factor structure (loss of vitality, positive affect, psychomotor retardation, negative affect, and interpersonal problems) supported and explained 61.25% of the variance.

Conclusions: The results of this study suggest that the CES-D scale is a useful depressive symptom screening tool for community-residing stroke patients. Identifying the psychometric properties of the CES-D scale would help health professionals to understand the comprehensive assessment of community-residing stroke patients.

Publication types

  • Multicenter Study

MeSH terms

  • Aged
  • Cross-Sectional Studies
  • Depression / diagnosis*
  • Depression / etiology*
  • Disability Evaluation
  • Epidemiologic Studies
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Mental Status Schedule
  • Middle Aged
  • Rehabilitation Centers / statistics & numerical data
  • Reproducibility of Results
  • Republic of Korea / epidemiology
  • Stroke / complications*