Large increase in the prevalence of self-reported diabetes based on a nationally representative survey in Hungary

Prim Care Diabetes. 2017 Apr;11(2):107-111. doi: 10.1016/j.pcd.2016.09.001. Epub 2016 Sep 24.

Abstract

Aims: To estimate and compare the prevalence of self-reported diabetes based on nationally representative surveys of the Hungarian adult population in 2002 (published data - Hungarostudy) and a survey in 2012.

Methods: A cross-sectional computer-assisted telephone interview survey on a stratified representative sample of community-dwelling adults (n=1000) in 2012. To describe self-reported diabetes prevalence and its temporal changes generalized linear models were used and results were compared to figures from Hungarostudy.

Results: Age standardized prevalence of self-reported type 2 diabetes was 11.7% (95%CI 10.0-13.8%) without gender or rural-urban differences in 2012. People with self-reported diabetes were older than controls (mean [SE]: 63.9 [0.9] vs. 45.9 [0.3] years, p<0.0001). The prevalence of diabetes sharply increased after 40 years of age and peaked at age 70 (27.7% [2.5], page*age<0.0001). The prevalence of self-reported diabetes increased by 89% (OR 1.89, 95%CI 1.53-2.32) from 6.2 to 11.7% between the two surveys with the most pronounced increase in the age group 55-64 years (from 11.6 to 24.4%).

Conclusions: We reported an alarming increase in the prevalence of self-reported type 2 diabetes in the last decade that mostly affects working age people. If this trend continues, a major public health crisis in Hungary can be envisaged.

Keywords: Adult; Caucasian; Diabetes; Epidemiology; Population based; Prevalence.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Chi-Square Distribution
  • Cross-Sectional Studies
  • Diabetes Mellitus, Type 2 / diagnosis
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Female
  • Health Care Surveys
  • Humans
  • Hungary / epidemiology
  • Linear Models
  • Logistic Models
  • Male
  • Middle Aged
  • Odds Ratio
  • Prevalence
  • Self Report
  • Sex Distribution
  • Time Factors
  • Young Adult