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Mortality in the Visegrad countries from the perspective of socioeconomic inequalities

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15260%2F19%3A73591213" target="_blank" >RIV/61989592:15260/19:73591213 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/19:10400234

  • Result on the web

    <a href="https://coherentsite.files.wordpress.com/2018/12/bosakova2018_article_mortalityinthevisegradcountrie.pdf" target="_blank" >https://coherentsite.files.wordpress.com/2018/12/bosakova2018_article_mortalityinthevisegradcountrie.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00038-018-1183-6" target="_blank" >10.1007/s00038-018-1183-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mortality in the Visegrad countries from the perspective of socioeconomic inequalities

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30304 - Public and environmental health

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Public Health

  • ISSN

    1661-8556

  • e-ISSN

  • Volume of the periodical

    64

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    12

  • Pages from-to

    365-376

  • UT code for WoS article

    000463678100008

  • EID of the result in the Scopus database

    2-s2.0-85058137128