Explaining differences in education-related inequalities in health between urban and rural areas in Mongolia

Int J Equity Health. 2015 Dec 22:14:154. doi: 10.1186/s12939-015-0281-9.

Abstract

Background: After the socioeconomic transition in 1990, Mongolia has been experiencing demographic and epidemiologic transitions; however, there is lack of evidence on socioeconomic-related inequality in health across the country. The aim of this paper is to evaluate the education-related inequalities in adult population health in urban and rural areas of Mongolia in 2007/2008.

Methods: This paper used a nationwide cross-sectional data, the Household Socio-Economic Survey 2007/2008, collected by the National Statistical Office. We employed the Erreygers' concentration index to assess the degree of education-related inequality in adult health in urban and rural areas.

Results: Our results suggest that a lower education level was associated with poor self-reported health. The concentration indices of physical limitation and chronic disease were significantly less than zero in both areas. On the other hand, ill-health was concentrated among the less educated groups. The decomposition results show education, economic activity status and income were the main contributors to education-related inequalities in physical limitation and chronic disease removing age-sex related contributions.

Conclusions: Improving accessibility and quality of education, especially for the lower socioeconomic groups may reduce socioeconomic-related inequality in health in both rural and urban areas of Mongolia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Education / standards*
  • Female
  • Health / standards*
  • Health / statistics & numerical data
  • Humans
  • Income / statistics & numerical data
  • Male
  • Middle Aged
  • Mongolia / epidemiology
  • Rural Population / statistics & numerical data*
  • Self Report
  • Social Class
  • Socioeconomic Factors*
  • Urban Population / statistics & numerical data*