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Journal Article

Citation

Paterson TSE, O'Rourke N, Elmer E, Shapiro RJ, Thornton WL. Can. J. Behav. Sci. 2011; 43(4): 318-327.

Copyright

(Copyright © 2011, Canadian Psychological Association, Publisher Elsevier Publishing)

DOI

10.1037/a0025104

PMID

unavailable

Abstract

Renal disease is an increasingly common illness among middle-aged and older adults, and is often associated with depression. The Center for Epidemiologic Studies Depression Scale (CES-D) is a widely used self-report screening measure on which responses generally conform to a 4-factor structure, with each factor loading onto a higher-order Depression factor. The current study examines whether this structure is supported among individuals with renal disease (both predialysis and posttransplant kidney disease patients). Persons with renal disease (n = 225) and healthy control participants (n = 230) were recruited from Vancouver General Hospital and the community. Participants completed the CES-D as part of an extended assessment. Confirmatory factor analytic models were computed for the renal disease and healthy control groups.

RESULTS support a 4-factor structure for CES-D responses in persons with renal disease and healthy controls. The hierarchical structure of CES-D responses also appears invariant between groups. Factor structure was similar between groups; only for Depressive Affect was the strength of association with the second-order factor greater among the renal disease than healthy control participants.

FINDINGS support similarity of CES-D factor structures between patients with renal disease and healthy individuals.

RESULTS suggest that the CES-D's 4 factors contribute to measurement of a higher-order Depression factor in both groups; furthermore, 3 of 4 factors appear invariant between groups. As such, this measure can be used confidently to quantify depressive symptoms in individuals with renal disease. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

Keywords

Factor Structure; Kidney Diseases; Major Depression; Psychometrics; Symptoms

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