Depression and Risk for Diabetes: A Meta-Analysis
- PMID: 25773933
- DOI: 10.1016/j.jcjd.2014.11.006
Depression and Risk for Diabetes: A Meta-Analysis
Abstract
Objective: Many studies have reported the relationship between depression and diabetes, but the results have been inconsistent. Our aim was to conduct a systematic review through meta-analysis to assess the association of depression with the risk for developing diabetes.
Methods: We retrieved the studies concerning depression and the risk for diabetes. Meta-analysis was applied to calculate the combined effect values and their 95% confidence intervals. The risk for publication bias was assessed by the Egger regression asymmetry test.
Results: As many as 33 articles were included in the meta-analysis, for a total of 2 411 641 participants. The pooled relative risk for diabetes was 1.41 (95% CI, 1.25-1.59) for depression, and the combined relative risk for type 2 diabetes mellitus was 1.32 (95% CI, 1.18-1.47).
Conclusions: Depressed people have a 41% increased risk for developing diabetes mellitus and a 32% increased risk for developing type 2 diabetes. The mechanisms underlying this relationship are still unclear and need further research.
Keywords: depression; diabetes; diabète; dépression; facteurs de risque; meta-analysis; méta-analyse; risk factors.
Copyright © 2015 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.
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