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Background: Within the European Union (EU), substantial efforts are being made to achieve economic and social cohesion, and the reduction of health inequalities between EU regions is integral to this process. This paper is the first to examine how self-reported conditions and non-communicable diseases (NCDs) vary spatially between and within countries. Methods: Using 2014 European Social Survey (ESS) data from 20 countries, this paper examines how regional inequalities in self-reported conditions and NCDs vary for men and women in 174 regions (levels 1 and 2 Nomenclature of Statistical Territorial Units, 'NUTS'). We document absolute and relative inequalities across Europe in the prevalence of eight conditions: general health, overweight/obesity, mental health, heart or circulation problems, high blood pressure, back, neck, muscular or joint pain, diabetes and cancer. Results: There is considerable inequality in self-reported conditions and NCDs between the regions of Europe, with rates highest in the regions of continental Europe, some Scandinavian regions and parts of the UK and lowest around regions bordering the Alps, in Ireland and France. However, for mental health and cancer, rates are highest in regions of Eastern European and lowest in some Nordic regions, Ireland and isolated regions in continental Europe. There are also widespread and consistent absolute and relative regional inequalities in all conditions within countries. These are largest in France, Germany and the UK, and smallest in Denmark, Sweden and Norway. There were higher inequalities amongst women. Conclusion: Using newly available harmonized morbidity data from across Europe, this paper shows that there are considerable regional inequalities within and between European countries in the distribution of self-reported conditions and NCDs. [ABSTRACT FROM AUTHOR]

This paper has contributed to confirming the link between education and health in developed countries. The analysis is based on 11 European Union countries. We estimate country-specific health functions, where the dependent variable is self-reported health status and the education attainment is one of the main inputs. All eight waves (1994–2001) of the European Community Household Panel are deployed. A random effects ordered probit is estimated in order to control, to a given extent, for unobserved heterogeneity. Explanatory variables are both time invariant (education attainment and gender) and time varying (gross wages, hours of work, age and living alone). Results confirm the positive impact of secondary education on health in most cases and tertiary education in all cases, even after controlling for other inputs in the health function and taking unobserved heterogeneity into account. Secondary education has an impact on health in all countries in the sample except for The Netherlands and UK. The effect does not differ between secondary and tertiary education in France, Ireland and Greece. The correlation between education and health is interpreted in different but complementary ways by diverse approaches and we may not disentangle the precise mechanism that connects health with education from our results. Anyway, it seems clear that better coordination is needed between education and health policies to effectively improve health literacy. Other relevant results from our study are that women register poorer health than men, age contributes to worsening health status and wages contribute positively to health. [ABSTRACT FROM AUTHOR]