Cent Eur J Public Health 2017, 25(Suppl 2):S31-S36 | DOI: 10.21101/cejph.a4958

Income inequality in non-communicable diseases mortality among the regions of the Slovak Republic

Beáta Gavurová1, Viliam Kováč2, Michal Šoltés1, Sebastian Kot3,4, Jaroslav Majerník5
1 Department of Banking and Investment, Faculty of Economics, Technical University of Košice, Košice, Slovak Republic
2 Department of Finance, Faculty of Economics, Technical University of Košice, Košice, Slovak Republic
3 Faculty of Management, Czestochowa University of Technology, Czestochowa, Poland
4 Faculty of Economic and Management Sciences, North-West University, Mafikeng, Republic of South Africa
5 Department of Medical Informatics, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Košice, Slovak Republic

Aim: A great amount of non-communicable disease deaths poses a threat for all people and therefore represents the challenge for health policy makers, health providers and other health or social policy actors. The aim of this study is to analyse regional differences in non-communicable disease mortality in the Slovak Republic, and to quantify the relationship between mortality and economic indicators of the Slovak regions.

Methods: Standardised mortality rates adjusted for age, sex, region, and period were calculated applying direct standardisation methods with the European standard population covering the time span from 2005 to 2013. The impact of income indicators on standardised mortality rates was calculated using the panel regression models.

Results: The Bratislava region reaches the lowest values of standardised mortality rate for non-communicable diseases for both sexes. On the other side, the Nitra region has the highest standardised mortality rate for non-communicable diseases. Income quintile ratio has the highest effect on mortality, however, the expected positive impact is not confirmed. Gini coefficient at the 0.001 significance level and social benefits at the 0.01 significance level look like the most influencing variables on the standardised mortality rate. By addition of one percentage point of Gini coefficient, mortality rate increases by 148.19 units. When a share of population receiving social benefits increases by one percentage point, the standardised mortality rate will increase by 22.36 units.

Conclusions: Non-communicable disease mortality together with income inequalities among the regions of the Slovak Republic highlight the importance of economic impact on population health.

Keywords: non-communicable diseases, income inequality, economic indicators, regional mortality

Received: October 17, 2016; Revised: December 19, 2017; Published: December 30, 2017  Show citation

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Gavurová B, Kováč V, Šoltés M, Kot S, Majerník J. Income inequality in non-communicable diseases mortality among the regions of the Slovak Republic. Cent Eur J Public Health. 2017;25(Supplement 2):S31-36. doi: 10.21101/cejph.a4958. PubMed PMID: 29524367.
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    References

    1. Pol L, Thomas R. The Demography of health and healthcare. Dordrecht: Springer; 2013. Go to original source...
    2. Bassuk SS, Berkman LF, Amick BC. Socioeconomic status and mortality among the elderly: findings from four US communities. Am J Epidemiol. 2002;155(6):520-33. Go to original source... Go to PubMed...
    3. Stringhini S, Berkman L, Dugravot A, Ferrie JE, Marmot M, Kivimaki M, et al. Socioeconomic status, structural and functional measures of social support, and mortality: the British Whitehall II Cohort Study, 1985-2009. Am J Epidemiol. 2012;175(12):1275-83. Go to original source... Go to PubMed...
    4. Regidor E, Vallejo F, Reques L, Cea L, Miqueleiz E, Barrio G. Area-level socioeconomic context, total mortality and cause-specific mortality in Spain: heterogeneous findings depending on the level of geographic aggregation. Soc Sci Med. 2015;141:142-50. Go to original source... Go to PubMed...
    5. Mackenbach JP, Stirbu I, Roskam AR, Schaap MM, Menvielle G, Leinsalu M, et al. Socioeconomic inequalities in health in 22 European countries. N Engl J Med. 2008;358(23):2468-81. Go to original source... Go to PubMed...
    6. Blakely T, Tobias M, Atkinson J. Inequalities in mortality during and after restructuring of the New Zealand economy: repeated cohort studies. BMJ. 2008;336(7640):371-5. Go to original source... Go to PubMed...
    7. World Health Organization. Global status report on noncommunicable diseases 2014. Geneva: WHO; 2014.
    8. World Health Organization. Noncommunicable diseases progress monitor 2015. Geneva: WHO; 2015.
    9. Di Cesare M, Khang Y, Asaria P, Blakely T, Cowan MJ, Farzadfar F, et al. Inequalities in noncommunicable diseases and effective responses. Lancet. 2013;381(9866):585-97. Go to original source... Go to PubMed...
    10. World Health Organization. Noncommunicable diseases country profiles 2011. Geneva: WHO; 2011.
    11. Alwan A, MacLean DR, Riley LM, d'Espaignet ET, Mathers CD, Stevens GA, et al. Monitoring and surveillance of chronic noncommunicable diseases: progress and capacity in high-burden countries. Lancet. 2010;376(9755):1861-8. Go to original source... Go to PubMed...
    12. Kawachi I, Kennedy BP, Lochner K, Prothrow-Stith D. Social capital, income inequality, and mortality. Am J Public Health. 1997;87(9):1491-8. Go to original source... Go to PubMed...
    13. Wilkinson RG. Income distribution and life expectancy. BMJ. 1992;304(6820):165-8. Go to original source... Go to PubMed...
    14. Muller A. Education, income, inequality, and mortality: a multiple regression analysis. BMJ. 2002 Jan 5;324(7328):23-5. Go to original source... Go to PubMed...
    15. Kennedy BP, Kawachi I, Prothrow-Stith D. Income distribution and mortality: cross-sectional ecological study of the Robin Hood index in the United States. BMJ. 1996 Apr 20;312(7037):1004-7. Go to original source... Go to PubMed...
    16. Kaplan GA, Pamuk ER, Lynch JW, Cohen RD, Balfour JL. Inequality in income and mortality in the United States: analysis of mortality and potential pathways. BMJ. 1996 Apr 20;312(7037):999-1003. Go to original source... Go to PubMed...
    17. Kawachi I, Kennedy BP. The relationship of income inequality to mortality: does the choice of indicator mater? Soc Sci Med. 1997;45(7):1121-7. Go to original source... Go to PubMed...
    18. Kibele EUB. Regional mortality differences in Germany. Dordrecht: Springer Science+Business Media Dordrecht; 2012. Go to original source...
    19. Kunst AE. Cross-national comparisons of socio-economic differences in mortality. Rotterdam: Erasmus University Rotterdam; 1997.
    20. Gavurová B, Vagašová T. Regional differences of standardised mortality rates for ischemic heart diseases in the Slovak Republic for the period 1996-2013 in the context of income inequality. Health Econ Rev. 2016;6:21. doi:10.1186/s13561-016-0099-1. Go to original source... Go to PubMed...

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