Title |
Explaining differences in education-related inequalities in health between urban and rural areas in Mongolia
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Published in |
International Journal for Equity in Health, December 2015
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DOI | 10.1186/s12939-015-0281-9 |
Pubmed ID | |
Authors |
Javkhlanbayar Dorjdagva, Enkhjargal Batbaatar, Bayarsaikhan Dorjsuren, Jussi Kauhanen |
Abstract |
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. 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. 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. 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Mongolia | 29 | 38% |
Australia | 2 | 3% |
United Kingdom | 2 | 3% |
United States | 2 | 3% |
Japan | 1 | 1% |
Switzerland | 1 | 1% |
Taiwan | 1 | 1% |
Korea, Democratic People's Republic of | 1 | 1% |
Czechia | 1 | 1% |
Other | 0 | 0% |
Unknown | 37 | 48% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 65 | 84% |
Scientists | 6 | 8% |
Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Unknown | 2 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 11% |
Student > Bachelor | 6 | 9% |
Student > Doctoral Student | 6 | 9% |
Researcher | 6 | 9% |
Student > Ph. D. Student | 5 | 8% |
Other | 10 | 16% |
Unknown | 24 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 17% |
Social Sciences | 6 | 9% |
Nursing and Health Professions | 5 | 8% |
Unspecified | 3 | 5% |
Environmental Science | 3 | 5% |
Other | 12 | 19% |
Unknown | 24 | 38% |