20
views
0
recommends
+1 Recommend
3 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Mortality in the Visegrad countries from the perspective of socioeconomic inequalities

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references28

          • Record: found
          • Abstract: not found
          • Article: not found

          The Determinants of Mortality

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Measuring socioeconomic position in health research.

            In this article we review different measures of socioeconomic position (SEP) and their uses in health-related research. Socioeconomic circumstances influence health. Generally, poorer socioeconomic circumstances lead to poorer health. This has generated a search for generic mechanisms that could explain such a general association. However, we propose that there is a greater variation in the association between SEP and health than is generally acknowledged when specific health outcomes are investigated. We propose that studying these variations provide a better understanding of the aetiological mechanisms relating specific diseases with specific exposures. AREAS TO DEVELOP RESEARCH: Using different indicators of SEP in health research can better capture these variations and is important when evaluating the full contribution of confounding by socioeconomic conditions. We propose that using an array of SEP indicators within a life course framework also offers considerable opportunity to explore causal pathways in disease aetiology.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Educational inequalities in mortality in four Eastern European countries: divergence in trends during the post-communist transition from 1990 to 2000.

              Post-communist transition has had a huge impact on mortality in Eastern Europe. We examined how educational inequalities in mortality changed between 1990 and 2000 in Estonia, Lithuania, Poland and Hungary. Cross-sectional data for the years around 1990 and 2000 were used. Age-standardized mortality rates and mortality rate ratios (for total mortality only) were calculated for men and women aged 35-64 in three educational categories, for five broad cause-of-death groups and for five (seven among women) specific causes of death. Educational inequalities in mortality increased in all four countries but in two completely different ways. In Poland and Hungary, mortality rates decreased or remained the same in all educational groups. In Estonia and Lithuania, mortality rates decreased among the highly educated, but increased among those of low education. In Estonia and Lithuania, for men and women combined, external causes and circulatory diseases contributed most to the increasing educational gap in total mortality. Different trends were observed between the two former Soviet republics and the two Central Eastern European countries. This divergence can be related to differences in socioeconomic development during the 1990s and in particular, to the spread of poverty, deprivation and marginalization. Alcohol and psychosocial stress may also have been important mediating factors.
                Bookmark

                Author and article information

                Journal
                International Journal of Public Health
                Int J Public Health
                Springer Science and Business Media LLC
                1661-8556
                1661-8564
                April 2019
                December 7 2018
                April 2019
                : 64
                : 3
                : 365-376
                Article
                10.1007/s00038-018-1183-6
                30535783
                1f0e6e69-dbbe-41b9-9513-cd47f960ef41
                © 2019

                http://www.springer.com/tdm

                History

                Comments

                Comment on this article