Table of Contents
Epidemiology Research International
Volume 2011 (2011), Article ID 832945, 12 pages
Review Article

Factors Influencing Risk of Premature Mortality in Community Cases of Depression: A Meta-Analytic Review

1School of Population Health, The University of Queensland, QLD 4006, Australia
2Policy and Evaluation Group, Queensland Centre for Mental Health Research, QLD 4074, Australia

Received 14 December 2010; Revised 15 February 2011; Accepted 15 March 2011

Academic Editor: Susana Sans Menendez

Copyright © 2011 Amanda J. Baxter et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. Depressive disorders are associated with substantial risk of premature mortality. A number of factors may contribute to reported risk estimates, making it difficult to determine actual risk of excess mortality in community cases of depression. The aim of this study is to conduct a systematic review and meta-analysis of excess mortality in population-based studies of clinically defined depression. Methods. Population-based studies reporting all-cause mortality associated with a clinically defined depressive disorder were included in the systematic review. Estimates of relative risk for excess mortality in population-representative cases of clinical depressive disorders were extracted. A meta-analysis was conducted using Stata to pool estimates of excess mortality and identify sources of heterogeneity within the data. Results. Twenty-one studies reporting risk of excess mortality in clinical depression were identified. A significantly higher risk of mortality was found for major depression (RR 1.92 95% CI 1.65–2.23), but no significant difference was found for dysthymia (RR 1.37 95% CI 0.93–2.00). Relative risk of excess mortality was not significantly different following the adjustment of reported risk estimates. Conclusion. A mortality gradient was identified with increasing severity of clinical depression. Recognition of depressive symptoms in general practice and appropriate referral for evidence-based treatment may help improve outcomes, particularly in patients with comorbid physical disorders.