Bidirectional association between depressive symptoms and type 2 diabetes mellitus: The China Health and Retirement Longitudinal Study

J Diabetes Complications. 2019 Oct;33(10):107387. doi: 10.1016/j.jdiacomp.2019.05.018. Epub 2019 May 29.

Abstract

Objective: To prospectively examine the bidirectional relationship between depressive symptoms and type 2 diabetes mellitus (T2DM) among middle-aged and elderly Chinese.

Methods: Participants were enrolled in 2011-2012 (Wave 1) and followed up in 2013-2014 (Wave 2) and 2015-2016 (Wave 3) in the China Health and Retirement Longitudinal Study. Depressive symptoms were evaluated by the Chinese language version of 10-item Center for Epidemiological Studies Depression Scale (CESD-10) at three waves. T2DM was assessed by biochemical biomarkers at Wave 1 and reported physician-diagnosis at Wave 2 and 3. Cox proportional hazards regression was applied to calculate hazard ratio (HR) and 95% confidence intervals (CIs) for the bidirectional association.

Results: Participants with baseline depressive symptoms were 1.33 times as likely to develop T2DM (HR, 1.33; 95% CI: 1.06, 1.66), compared to their counterparts after adjusting for demographic characteristics and T2DM risk factors. The risk of T2DM increased linearly with higher severity of depression as determined by a higher CESD-10 score (P for trend ≪ 0.001). In addition, baseline T2DM was associated with increased risk of incident depressive symptoms (1.15; 1.00, 1.31) and persistent depressive symptoms (1.35; 1.03, 1.77).

Conclusion: There is a positive bidirectional association between depressive symptoms and T2DM in middle-aged and elderly Chinese.

Keywords: Association; Chinese; Depression symptoms; Risk; Type 2 diabetes mellitus.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Body Mass Index
  • China / epidemiology
  • Depression / epidemiology*
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Diabetes Mellitus, Type 2 / psychology*
  • Educational Status
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Prospective Studies
  • Retirement
  • Risk Factors
  • Rural Population