4.7 Article

Depression and Risk of Stroke A Meta-Analysis of Prospective Studies

Journal

STROKE
Volume 43, Issue 1, Pages 32-U108

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/STROKEAHA.111.630871

Keywords

cohort studies; depression; meta-analysis; risk factors; stroke

Funding

  1. Jiangsu Higher Education Institutions

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Background and Purpose-A history of depression may be associated with an increased risk of stroke. We aimed to determine the association between depression and risk of stroke by performing a meta-analysis of prospective studies. Methods-Relevant studies were identified by a PubMed database search through May 2011 without restrictions and by reviewing reference lists of obtained articles. Community-based or population-based prospective studies that reported relative risk estimates with 95% confidence intervals for the association between depression and stroke were selected. Studies that enrolled participants with preexisting stroke at baseline were excluded. A random-effects model was used to compute the pooled risk estimate. Results-Random-effects meta-analysis of 17 prospective studies involving 206 641 participants and 6086 cases demonstrated a significant positive association between depression and subsequent risk of stroke (pooled relative risk, 1.34; 95% confidence interval, 1.17-1.54) after adjustment for potential confounding factors. The associations were similar between men and women. Potential publication bias may exist, but correction for this bias using a formal statistical method did not materially alter the combined risk estimate. Conclusions-Depression significantly increased the risk of development of stroke, and this increase was probably independent of other risk factors, including hypertension and diabetes. (Stroke. 2012;43:32-37.)

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