Rural diabetes prevalence quintuples over twenty-five years in low- and middle-income countries: a systematic review and meta-analysis

Diabetes Res Clin Pract. 2012 Jun;96(3):271-85. doi: 10.1016/j.diabres.2011.12.001. Epub 2012 Jan 18.

Abstract

Aims: To verify the assertions that diabetes pandemic may be spreading across rural parts of low- and middle-income countries (LMICs), we performed a systematic review of published studies reporting diabetes prevalence in rural parts of LMICs.

Methods: Electronic databases (EMBASE and MEDLINE) were searched for papers published from 1990 to 2011. Two independent reviewers screened the articles using structured criteria for inclusion and performed full-text reviews. Pooled prevalence of diabetes was estimated using meta-analysis. Potential factors influencing the estimates were identified by meta-regression and used for sensitivity analyses.

Results: Rural prevalence of diabetes of LMICs was 5.6% (95% CI=4.6-6.6), and similar between men and women. This estimate remained robust in separate sensitivity analyses accounting for study quality, level of heterogeneity, age, and sex. In a multivariate meta-regression analysis, pooled prevalence varied by study year and region. Diabetes prevalence increased over time, from 1.8% (1.0-2.6) in 1985-1989, 5.0% (3.8-6.3) in 1990-1994, 5.2% (4.1-6.2) in 1995-1999, 6.4% (5.1-7.7) in 2000-2004, and to 8.6% (6.4-10.7) for 2005-2010 (p=0.001 for secular trend).

Conclusions: Prevalence of diabetes in rural parts of LMICs has risen dramatically. As 55% of LMIC populations live in rural areas, this trend has enormous implications for the global burden of diabetes.

Publication types

  • Meta-Analysis
  • Review
  • Systematic Review

MeSH terms

  • Adult
  • Age Distribution
  • Aged
  • Developing Countries / statistics & numerical data*
  • Diabetes Mellitus / epidemiology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prevalence
  • Risk Assessment
  • Rural Population / statistics & numerical data*
  • Sex Distribution
  • Socioeconomic Factors