Have regional inequalities in life expectancy widened within the European Union between 1991 and 2008?

<b>BACKGROUND:</b> Health inequalities have widened within and between many European countries over recent decades, but Europe-wide sub-national trends have been largely overlooked. For regions across the European Union (EU), we assess how geographical inequalities (i.e., between regions) and sociospatial inequalities (i.e., between regions grouped by an area-level measure of average household income) in male and female life expectancy have changed between 1991 and 2008.<p></p> <b>METHODS:</b> Household income, life expectancy at birth and population count data were obtained for 129 regions (level 2 Nomenclature of Statistical Territorial Units, 'NUTS') in 13 European countries with 1991-2008 data (2008 population = 272 million). We assessed temporal changes in the range of life expectancies, for all regions and for Western and Eastern European regions separately.<p></p> <b>RESULTS:</b> Between 1991 and 2008, the geographical range of life expectancies found among European regions remained relatively constant, with the exception of life expectancy among male Eastern Europeans, for whom the range widened by 2.8 years. Sociospatial inequalities in life expectancy (1999-2008 data only) remained constant for all regions combined and for Western Europe, but more than doubled in size for male Eastern Europeans. For female Eastern Europeans, life expectancy was unrelated to regional household income.<p></p> <b>CONCLUSIONS:</b>Regional life-expectancy inequalities in the EU have not narrowed over 2 decades, despite efforts to reduce them. Household income differences across European regions may partly explain these inequalities. As inequalities transcend national borders, reduction efforts may require EU-wide coordination in addition to national efforts.<p></p&gt

Research on Roma health and access to healthcare: state of the art and future challenges

Health inequalities experienced by Roma people living in Europe presents a persisting challenge for health care programs. Research studies on Roma health conditions reveal that: (1) Roma people suffer from poorer health and unhealthier living conditions compared to majority populations, (2) better data are needed to explain the Roma health gap and design better interventions to reduce this gap, and (3) the poor health of Roma is closely linked to the social determinants of health.This editorial published in the International Journal of Public Health discusses lessons learned from recent research findings and outlines a number of challenges in exploring and addressing the various mechanisms that contribute to the health gap between Roma and majority populations.The editorial was authored by Alina Covaci of the Open Society Foundations' Roma Health Project and Maria Eva Foldes of the Tilburg Law and Economics Center in the Netherlands

Regional socioeconomic indicators and ethnicity as predictors of regional infant mortality rate in Slovakia

OBJECTIVE: Exploring the associations of regional differences in infant mortality with selected socioeconomic indicators and ethnicity could offer important clues for designing public health policy measures. METHODS: Data included perinatal and infant mortality in the 79 districts of the Slovak population in 2004. Linear regression was used to analyse the contribution of education, unemployment, income and proportion of Roma population on regional differences in perinatal and infant mortality rates. RESULTS: All the explored socioeconomic indicators and ethnicity individually contributed significantly to both perinatal and infant mortality, with the exception of income. In the model exploring the influence of all these variables together on perinatal and infant mortality, only the effect of the proportion of Roma population remained significant. This model explained 34.9% of the variance for perinatal and 36.4% of the variance for infant mortality. CONCLUSIONS: Living in Roma settlements indicates an accumulation of socioeconomic disadvantage. Health literacy, health-related behaviour and many other factors might contribute to the explanation of the differences in infant mortality, and a better understanding of these processes might help us to design tailored interventions

Socioeconomic factors, ethnicity and alcohol-related mortality in regions in Slovakia. What might a tree analysis add to our understanding?

Regional differences in alcohol-related mortality might reflect strong socioeconomic differences between regions. The present study examines the contribution of education, unemployment, income and minority proportion on regional differences in alcohol-related mortality for inhabitants aged 20-64 years. Linear regression analysis and a non-parametric regression tree analysis were used separately for males and females. The unemployment rate and low education appeared as important determinants of regional alcohol-related mortality, while the proportion of Roma and income were not significantly associated with alcohol-related mortality among males in Slovak districts. A district's unemployment rate was assumed to be the strongest predictor of the outcome measure

Mortality in the Visegrad countries from the perspective of socioeconomic inequalities

OBJECTIVES: Large socioeconomic inequalities in health are still present in the Central Europe. The aim was to explore socioeconomic inequalities in mortality in Visegrad countries-the Czech Republic, Hungary, Poland and Slovakia (V4), by three different socioeconomic indicators (unemployment, risk of poverty/social exclusion, education). The study was conducted within the H2020 Euro-Healthy project. METHODS: The associations between selected socioeconomic indicators and the standardised mortality rates by four main causes (mortality related to cancer, circulatory, respiratory and digestive system) in the economically active population aged 20-64 years in the 35 NUTS 2 level regions of the V4 in the period 2011-2013 were explored, using linear regression models. RESULTS: Lower education level was the most significant predictor of mortality in the V4. The lowest mortality rates by all causes of death were found in the regions of the Czech Republic, the highest in regions of Hungary. CONCLUSIONS: Despite the common origin, the pathways of the V4 countries in employment, poverty and education seem to be different, also having impact on health equity. Therefore, where you live in the V4 can significantly influence your health

End-stage renal disease among Roma and non-Roma: Roma are at risk

Ethnic differences in the occurrence of end-stage renal disease (ESRD) are reported on various populations across the world, but evidence on Roma is lacking. The aim of this study was to explore the relative risk (RR) of ESRD for Roma who constitute a major minority in Slovakia. Patients treated by means of hemodialysis during 2005-2008 were questioned for their ethnicity. Rates of ESRD among Roma and non-Roma based on hemodialysis data were calculated as well as the RR of Roma for ESRD. The latter was repeated after standardization for differences in age of both populations. Roma represented 11.6 % of all hemodialyzed patients. The RR of ESRD for Roma was 1.34, compared to the majority population. After age standardization, the RR for Roma was 2.85. This study shows that the risk for ESRD is significantly higher for Roma than for non-Roma. A genetic propensity of Roma to renal failure may partially explain the higher risk. Moreover, a poorer control of risk factors for ESRD in Slovak Roma contributes to the increased risk

Socioeconomic inequalities in injury mortality in small areas of 15 European cities

This study analysed socioeconomic inequalities in mortality due to injuries in small areas of 15 European cities, by sex, at the beginning of this century. A cross-sectional ecological study with units of analysis being small areas within 15 European cities was conducted. Relative risks of injury mortality associated with the socioeconomic deprivation index were estimated using hierarchical Bayesian model. The number of small areas varies from 17 in Bratislava to 2666 in Turin. The median population per small area varies by city (e.g. Turin had 274 inhabitants per area while Budapest had 76,970). Socioeconomic inequalities in all injury mortality are observed in the majority of cities and are more pronounced in men. In the cities of northern and western Europe, socioeconomic inequalities in injury mortality are found for most types of injuries. These inequalities are not significant in the majorit The results confirm the existence of socioeconomic inequalities in injury related mortality and reveal variations in their magnitude between different European cities. (C) 2013 Elsevier Ltd. All rights reserved

Socioeconomic inequalities in mortality in 16 European cities

Aims: To explore inequalities in total mortality between small areas of 16 European cities for men and women, as well as to analyse the relationship between these geographical inequalities and their socioeconomic indicators. Methods: A cross-sectional ecological design was used to analyse small areas in 16 European cities (26,229,104 inhabitants). Most cities had mortality data for a period between 2000 and 2008 and population size data for the same period. Socioeconomic indicators included an index of socioeconomic deprivation, unemployment, and educational level. We estimated standardised mortality ratios and controlled for their variability using Bayesian models. We estimated relative risk of mortality and excess number of deaths according to socioeconomic indicators. Results: We observed a consistent pattern of inequality in mortality in almost all cities, with mortality increasing in parallel with socioeconomic deprivation. Socioeconomic inequalities in mortality were more pronounced for men than women, and relative inequalities were greater in Eastern and Northern European cities, and lower in some Western (men) and Southern (women) European cities. The pattern of excess number of deaths was slightly different, with greater inequality in some Western and Northern European cities and also in Budapest, and lower among women in Madrid and Barcelona. Conclusions: In this study, we report a consistent pattern of socioeconomic inequalities in mortality in 16 European cities. Future studies should further explore specific causes of death, in order to determine whether the general pattern observed is consistent for each cause of death