Skip to main content
main-content

01.12.2012 | Research | Ausgabe 1/2012 Open Access

International Journal for Equity in Health 1/2012

Decomposing socioeconomic inequalities in self assessed health in Turkey

Zeitschrift:
International Journal for Equity in Health > Ausgabe 1/2012
Autoren:
Kaan Sözmen, Hakan Baydur, Hatice Simsek, Belgin Ünal
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1475-9276-11-73) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

KS conceived the study, data analysis, statistical analysis and drafted the manuscript. HB made substantial contribution to analysis and interpretation of data. HS and BU contributed to the interpretation of results and final writing of the paper. All authors read and approved the final manuscript.

Abstract

Introduction

This study aimed to measure socioeconomic inequalities in Self Assessed Health (SAH) and evaluate the determinants of such inequalities in terms of their contributions amongst the Turkish population.

Methods

We used data from the Turkish part of World Health Survey 2003 with 10,287 respondents over 18 years old. Concentration index (CI) of SAH was calculated as a measure of socioeconomic inequalities in health, and contributions of each determinant to inequality were evaluated using a decomposition method.

Results

In total 952 participants (9.3%) rated their health status as either bad or very bad. The CI for SAH was −0.15, suggesting that suboptimal SAH was reported more by those categorised as poor. The multiple logistic regression results indicated that having secondary, primary or less than primary school education, not being married and being in the lowest wealth quintile, significantly increased the risk of having poor SAH. The largest contributions to inequality were attributed to education level (70.7%), household economic status (9.7%) and geographical area lived in (8.4%).

Conclusion

The findings indicate that socioeconomic inequalities measured by SAH are apparent amongst the Turkish population. Education and household wealth were the greatest contributing factors to SAH inequality. These inequalities need to be explicitly addressed and vulnerable subgroups should be targeted to reduce the socioeconomic disparities.
Zusatzmaterial
Authors’ original file for figure 1
12939_2012_318_MOESM1_ESM.jpeg
Literatur
Über diesen Artikel

Weitere Artikel der Ausgabe 1/2012

International Journal for Equity in Health 1/2012 Zur Ausgabe