Does vital exhaustion increase the risk of type 2 diabetes? A prospective study

J Psychosom Res. 2017 Aug:99:82-88. doi: 10.1016/j.jpsychores.2017.06.001. Epub 2017 Jun 5.

Abstract

Background: There is evidence that both stress and depression have a causal relationship with type 2 diabetes suggesting that vital exhaustion (VE) too could be a risk factor. The association between VE and type 2 diabetes has, however, not been investigated prospectively.

Aim: To prospectively investigate whether VE is associated with an increased risk of type 2 diabetes in a Danish population.

Methods: A prospective cohort study based on the Copenhagen City Heart Study (1991-1993). The degree of VE was measured among 9075 participants without type 1 or 2 diabetes at baseline. To detect type 2 diabetes in the follow-up period, two different approaches were used: In the first substudy, type 2 diabetes was defined based on blood samples and questionnaires from a follow-up study in 2001-2003 (N=4708). The second substudy was register-based, and the study population was linked to the Danish Hospital Discharge Register to detect registrations with type 2 diabetes until 2014.

Results: A high degree of VE was associated with an increased risk of developing type 2 diabetes in both substudies. In the first substudy, the OR for developing type 2 diabetes was 2.56 (95% CI, 1.53; 4,29, P<0,001) among the quartile of participants reporting the highest degree of VE. In the second substudy, the OR was 1.31 (95% CI, 0.99; 1.72, P=0.053) for this group.

Conclusion: The results indicate that VE may be a useful measure in clinical practice in order to discover individuals at risk of type 2 diabetes.

Keywords: Epidemiology; Prospective; Type 2 diabetes; Vital exhaustion.

Publication types

  • Review

MeSH terms

  • Adult
  • Aged
  • Depression / complications*
  • Diabetes Mellitus, Type 2 / etiology*
  • Diabetes Mellitus, Type 2 / pathology
  • Fatigue / complications*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prospective Studies
  • Risk Factors
  • Surveys and Questionnaires