The factor structure of the center for epidemiologic studies depression scale in stroke patients. 2012

Jung-Hee Kim, and Eun-Young Park
Department of Nursing, Dankook University, Chungnam, Republic of Korea.

OBJECTIVE 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.

UI MeSH Term Description Entries
D008297 Male Males
D008609 Mental Status Schedule Standardized clinical interview used to assess current psychopathology by scaling patient responses to the questions.
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D012047 Rehabilitation Centers Facilities which provide programs for rehabilitating the mentally or physically disabled individuals. Centers, Rehabilitation,Center, Rehabilitation,Rehabilitation Center
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003863 Depression Depressive states usually of moderate intensity in contrast with MAJOR DEPRESSIVE DISORDER present in neurotic and psychotic disorders. Depressive Symptoms,Emotional Depression,Depression, Emotional,Depressive Symptom,Symptom, Depressive
D004185 Disability Evaluation Determination of the degree of a physical, mental, or emotional handicap. The diagnosis is applied to legal qualification for benefits and income under disability insurance and to eligibility for Social Security and workmen's compensation benefits. Disability Evaluations,Evaluation, Disability,Evaluations, Disability
D005163 Factor Analysis, Statistical A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires. Analysis, Factor,Analysis, Statistical Factor,Factor Analysis,Statistical Factor Analysis,Analyses, Factor,Analyses, Statistical Factor,Factor Analyses,Factor Analyses, Statistical,Statistical Factor Analyses
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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