Educational disparities in mortality among patients with type 2 diabetes in The Netherlands (ZODIAC-23)

Neth J Med. 2013 Mar;71(2):76-80.

Abstract

Background: Relative mortality differences between educational level in mortality have been reported among diabetic as well as among non-diabetic subjects in Europe, but data on absolute differences are lacking. We studied the effect of educational disparities on mortality in a Dutch prospective cohort of type 2 diabetes mellitus (T2DM) patients.

Methods: This study was part of the ZODIAC study, a prospective observational study of patients with T2DM. Data on educational level were first collected on 19 May 1998, and from this date on, 858 patients were included in 1998; educational level was known for 656 patients. Vital status was assessed in 2009. The relationship between mortality and educational level was studied using a Cox proportional hazard model, the relative index of inequality (RII), slope index of inequality (SII) and the population attributable risk (PAR). Educational level was divided into four categories; the highest educational level was used as reference.

Results: After a median follow-up time of 9.7 years, 365 out of 858 patients had died. The hazard ratio of primary education for total mortality was 3.02 (95% CI 1.44-6.34). The RII was 2.85 (95% CI 1.21-6.67), the absolute difference in the risk for mortality (SII) was 384 deaths (95% CI 49-719) per 10,000 follow-up years. PAR for patients with the lowest level of education was 51.4%.

Conclusions: A low educational level had a higher impact on mortality than having a macrovascular complication. Given the substantial differences in mortality between educational levels in T2DM, more understanding of underlying (modifiable) mechanisms is necessary.

Publication types

  • Observational Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Diabetes Mellitus, Type 2 / mortality*
  • Educational Status*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Netherlands / epidemiology
  • Proportional Hazards Models
  • Prospective Studies