Abstract

The article focuses on determinants of mortality and evaluates selected socio-demographic and economic sets of indicators. Our data matrix includes 112 observations for the EU28 countries in the period 2011 – 2014 (5 indicators of socio-demographic and economic determinants of health and 5 indicators of standardized cause-specific mortal-ity). The data is calculated using canonical correlation analysis, composite indicator and multiple regressions. Computed cause-specific mortality index shows most favourable mortality structures in Finland and France and unfavourable in Hungary. The correla-tions between socio-demographic, economic determinants and cause-specific mortality in the EU countries exist on the following levels. In the countries with very high GDP per capita generally people less often die of circulation disorders (e.g., Finland, France, Ger-many) and with lower GDP per capita it shows higher mortality rates relate to circulation system disorders and diabetes (e.g., Estonia, Lithuania, Hungary). In the countries with lower levels of educational attainment, people generally most often die of circulation dis-orders (e.g., Czech Republic, Slovakia, Italy) and people with higher educational attain-ment more often die of disease of nervous system (e.g., Finland, Belgium, Denmark). The levels of socio-demographic and economic determinants and the mortality structures correlate in the EU countries, but show different quality. The regional disparities in cause-specific mortality still persist between the countries of the northern, the western and the southern Europe. An unfavourable rate mortality was further affirmed in eastern and south-eastern Europe.

Highlights

  • The aim of this article is to compare the incidence and development of selected causes of death with the socio-demographic and economic determinants that affect life in the EU countries

  • The summary results of the canonical correlation analysis of socio-demographic and economic determinants and cause-specific mortality can be described as follows: the left set representing cause-specific mortality explained 37.74% of the right set variability, the right set representing the socio-demographic and economic condition of the EU countries

  • Our results of the canonical correlation analysis suggest that the set representing the sociodemographic and economic determinants explains just a little larger part of variability within the cause-specific mortality set

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Summary

Introduction

The aim of this article is to compare the incidence and development of selected causes of death with the socio-demographic and economic determinants that affect life in the EU countries. Socio-demographic and economic determinants are used for rating the population health and health condition by several large national and international comparative studies, such as the Survey of Health, Ageing and Retirement in Europe (SHARE 2018), the European Health Interview Survey a European Community Health Indicators (EC 2012, Börsch-Supan et al 2013, Minicuci et al 2016) These determinants are in the focus of attention of some longitudinal studies, including the Study of Global Ageing and Adult Health, English Longitudinal Study of Ageing or the Health and Retirement Study (Minicuci et al 2016)

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