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Inequalities in mortality by socioeconomic factors and Roma ethnicity in the two biggest cities in Slovakia: a multilevel analysis

Overview of attention for article published in International Journal for Equity in Health, November 2015
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Title
Inequalities in mortality by socioeconomic factors and Roma ethnicity in the two biggest cities in Slovakia: a multilevel analysis
Published in
International Journal for Equity in Health, November 2015
DOI 10.1186/s12939-015-0262-z
Pubmed ID
Authors

Katarina Rosicova, Sijmen A. Reijneveld, Andrea Madarasova Geckova, Roy E. Stewart, Martin Rosic, Johan W. Groothoff, Jitse P. van Dijk

Abstract

The socioeconomic and ethnic composition of urban neighbourhoods may affect mortality, but evidence on Central European cities is lacking. The aim of this study was to assess the associations between socioeconomic and ethnic neighbourhood indicators and the mortality of individuals aged 20-64 years old in the two biggest cities of the Slovak Republic. We obtained data on the characteristics of neighbourhoods and districts (educational level, unemployment, income and share of Roma) and on individual mortality of residents aged 20-64 years old, for the two largest cities in the Slovak Republic (Bratislava and Kosice) in the period 2003-2005. We performed multilevel Poisson regression analyses adjusted for age and gender on the individual (mortality), neighbourhood (education level and share of Roma in population) and district levels (unemployment and income). The proportions of Roma and of low-educated residents were associated with mortality at the neighbourhood level in both cities. Mutually adjusted, only the association with the proportion of Roma remained in the model (risk ratio 1.02; 95 % confidence interval 1.01-1.04). The area indicators - high education, income and unemployment - were not associated with mortality. The proportion of Roma is associated with early mortality in the two biggest cities in the Slovak Republic.

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The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Ph. D. Student 7 18%
Researcher 4 10%
Professor 2 5%
Student > Postgraduate 2 5%
Other 6 15%
Unknown 11 28%
Readers by discipline Count As %
Social Sciences 9 23%
Nursing and Health Professions 6 15%
Medicine and Dentistry 4 10%
Immunology and Microbiology 1 3%
Unspecified 1 3%
Other 2 5%
Unknown 17 43%