A model for predicting depression in elderly tenants of public housing

S. L. Bojrab, G. P. Sipes, M. Weiberger, H. C. Hendrie, J. R. Hayes, J. C. Darnell, B. L. Martz

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

To assess the prevalence of and risk factors for depression in an older population, the Multilevel Assessment Instrument (MAI) and the Center for Epidemiological Studies Depression Scale (CES-D) were administered to 176 elderly residents of a public housing apartment building in Indianapolis. The 41 patients diagnosed by the CES-D as depressed has significantly lower scores on MAI measures of psychological adjustment, cognitive function, and physical health compared with the nondepressed respondents and were more likely to have episodes of anxiety and depression in the year before the study. Four variables - respondents' overall physical health as measured by the MAI, days spent sick in bed during the past year, living alone, and educational level - explained some of the variance between the CES-D scores of the depressed and nondepressed patients. A model for predicting current levels of depressive symptomatology based on scores on each of these four variables distinguished the depressed from the nondepressed tenants more than 80 percent of the time.

Original languageEnglish (US)
Pages (from-to)304-309
Number of pages6
JournalHospital and Community Psychiatry
Volume39
Issue number3
DOIs
StatePublished - Jan 1 1988

ASJC Scopus subject areas

  • Psychiatry and Mental health

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    Bojrab, S. L., Sipes, G. P., Weiberger, M., Hendrie, H. C., Hayes, J. R., Darnell, J. C., & Martz, B. L. (1988). A model for predicting depression in elderly tenants of public housing. Hospital and Community Psychiatry, 39(3), 304-309. https://doi.org/10.1176/ps.39.3.304