Predictors of depression in a multiethnic cohort of patients with rheumatoid arthritis

M. Margaretten, E. Yelin, J. Imboden, J. Graf, Jennifer Barton, P. Katz, L. Julian

Research output: Contribution to journalArticle

51 Scopus citations

Abstract

Objective. Patients with rheumatoid arthritis (RA) who experience depression have worse health outcomes. This study identifies predictors of depression in an ethnically and racially diverse population of patients with RA. Methods. Patients with RA in a prospective cohort at the San Francisco General Hospital outpatient rheumatology clinic were included if they were age ≥18 years, met the American College of Rheumatology classification criteria for RA, had a Health Assessment Questionnaire (HAQ) score collected, and had the RA-specific Disease Activity Score performed by a rheumatologist. The outcome variable was a depression score measured by the Patient Health Questionnaire 9 (PHQ-9), a self-report questionnaire validated to correlate with a diagnosis of major depression. Results. Three hundred forty-nine clinical visits for 172 patients were included in the analysis. Forty percent of patients scored ≥10 on the PHQ-9 during at least one clinic visit, which corresponds to a symptom severity of at least moderate depression. The mean PHQ-9 score was 7, corresponding to a symptom severity of mild depression. In the multivariate analysis, higher HAQ scores were associated with depression, and Asians had lower depression scores compared with Hispanic, white, and African American subjects. Conclusion. Identifying associated predictors of depression in a diverse population of patients with RA can help guide treatment, which should include preventing disability and decreased function as well as targeting depressive symptoms more specifically in patients with RA.

Original languageEnglish (US)
Pages (from-to)1586-1591
Number of pages6
JournalArthritis Care and Research
Volume61
Issue number11
DOIs
Publication statusPublished - Nov 15 2009
Externally publishedYes

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ASJC Scopus subject areas

  • Rheumatology

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