RT Journal Article SR Electronic T1 Does a single-item measure of depression predict mortality? JF Canadian Family Physician JO Can Fam Physician FD The College of Family Physicians of Canada SP e1 OP e5 VO 55 IS 6 A1 Philip Donald St John A1 Patrick Montgomery YR 2009 UL http://www.cfp.ca/content/55/6/e1.abstract AB OBJECTIVE To determine if a single-item measure of depression predicts mortality over 5 years. DESIGN Secondary analysis of a population-based cohort study. SETTING Province of Manitoba. PARTICIPANTS A total of 1751 community-dwelling adults aged 65 years or older. MAIN OUTCOME MEASURES Self-reported depression; age, sex, education, functional status, and cognition; death over 5 years. Depression was measured with 1 item drawn from the Center for Epidemiologic Studies Depression (CES-D) scale: “I felt depressed.” Bivariate and multivariate analyses were conducted. RESULTS Those with self-reported depression had a 5-year mortality of 30.2% versus 19.7% in those without self-reported depression (P < .001, χ2). This association persisted after adjustment for age, sex, education, functional status, and cognition: adjusted odds ratio for mortality 1.35 (95% confidence interval 1.03 to 1.76). Among those with cognitive impairment, however, neither the CES-D scale nor the single-item measure predicted mortality. CONCLUSION A simple measure of depression drawn from the CES-D predicts mortality among cognitively intact community-dwelling older adults, but not among cognitively impaired older adults. Further study is needed in order to determine the usefulness of this question in clinical practice.