An assessment of socio-economic inequalities in health among elderly in Greece, Italy and Spain
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This study explores socio-economic inequalities in health among Mediterranean people aged 50 or higher.
The data used in the analysis come from the Survey of Health, Ageing and Retirement in Europe, wave 1, release 2; the sample includes 2,671 Greek, 2,502 Italian and 2,343 Spanish persons. Seven health indicators are examined using age-sex standardized prevalence rates and logistic regression models. Concentration indices are also computed for self-rated health (SRH).
Socio-economic position of individuals declines with age. Persons of lower socio-economic position experience worse health in all instances. Independently of education and gender, Greek persons display the lowest prevalence rates for SRH and physical and depressive symptoms, Spanish exhibit the highest rates for chronic conditions, and Italians perform better regarding functional limitations. Within-country analysis shows that the magnitude of socio-economic inequalities in SRH is greatest in Greece, followed by Spain and lastly by Italy.
The analysis reconfirms the advantage of high over low socio-economic position for all countries and health indicators and proves education as an important correlate compared to wealth and income among the elderly.
KeywordsHealth inequalities Socio-economic position Education Mediterranean countries Concentration index SHARE
The author is grateful to two anonymous referees for their constructive and helpful comments. This paper uses data from release 2 of SHARE 2004. The SHARE data collection has been primarily funded by the European Commission through the 5th framework programme (project QLK6-CT-2001-00360 in the thematic programme Quality of Life). Additional funding came from the US National Institute on Ageing (U01 AG09740-13S2, P01 AG005842, P01 AG08291, P30 AG12815, Y1-AG-4553-01 and OGHA 04-064). Data collection in Austria (through the Austrian Science Foundation, FWF), Belgium (through the Belgian Science Policy Office) and Switzerland (through BBW/OFES/UFES) was nationally funded. The SHARE data collection in Israel was funded by the US National Institute on Aging (R21 AG025169), by the German–Israeli Foundation for Scientific Research and Development (GIF), and by the National Insurance Institute of Israel. Further support by the European Commission through the 6th framework programme (projects SHARE-I3, RII-CT-2006-062193, and COMPARE, CIT5-CT-2005-028857) is gratefully acknowledged. For methodological details see Börsch-Supan and Jürges (2005).
- Börsch-Supan A, Jürges H (eds) (2005) The survey of health, ageing and retirement in Europe: methodology. Mannheim Research Institute for the Economics of Ageing, MannheimGoogle Scholar
- Börsch-Supan A, Brugiavini A, Jürges H, Mackenbach J, Siegrist J, Weber G (eds) (2005) Health, ageing and retirement in Europe, first results from the survey of health, ageing and retirement in Europe. Mannheim Research Institute for the Economics of Ageing, MannheimGoogle Scholar
- CSDH (2008) Closing the gap in a generation. Health equity through action on the social determinants of health, Commission on Social Determinants of Health Final Report. World Health Organization, GenevaGoogle Scholar
- Huisman M, Kunst AE, Andersen O et al (2004) Socioeconomic inequalities in mortality among elderly people in 11 European populations. J Epidemiol Commun Helath 58(6):475–486Google Scholar
- Jürges H (2007a) Healthy minds in healthy bodies. An international comparison of education-related inequality in physical health among older adults. Mea-Mannheim Research Institute for the Economics of Aging, Mannheim, Working Paper No. 141Google Scholar
- Sen A (1997) On economic inequality. Oxford University Press, OxfordGoogle Scholar
- SHARE (2008) Documentation on selected issues. Available on http://www.share-project.org/. Accessed 15 Dec 2008
- Smith JP (1998) Socioeconomic status and health. Am Econ Rev 88(2):192–196Google Scholar
- UNDP (2006) Human Development Report 2006, beyond scarcity: power, poverty and global water crisis. Palgrave Macmillan, New YorkGoogle Scholar
- Van Doorslaer E, Gerdtham UG (2003) Does inequality in self-assessed health predicts inequality in survival by income? Evidence from Swedish data. Soc Sci Med 1621–1629Google Scholar
- Vignon J (2005) Responses to the new demographics: present and future strategies for the European Union. In: Macura M, MacDonald AL, Haug W (eds) The new demographic regime, population challenges and policy responses. United Nations, New York, pp 45–56Google Scholar