Depression and Risk for Diabetes: A Meta-Analysis

Can J Diabetes. 2015 Aug;39(4):266-72. doi: 10.1016/j.jcjd.2014.11.006. Epub 2015 Mar 13.

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.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Case-Control Studies
  • Cohort Studies
  • Cross-Sectional Studies
  • Depression / diagnosis*
  • Depression / epidemiology*
  • Depression / psychology
  • Diabetes Mellitus, Type 2 / diagnosis*
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Diabetes Mellitus, Type 2 / psychology
  • Humans
  • Risk Factors