Inequalities in health status depending on socio-economic situation in the European countries

Simple item page
dc.contributor.authorPacáková, Viera
dc.contributor.authorKopecká, Lucie
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2018-06-28
dc.date.available2018-06-28
dc.date.issued2018-06-28
dc.description.abstractThere are a number of major studies which have demonstrated a clear link between socio-economic background (such as income or occupation) and health. The goal of this article is to assess and quantify inequalities in health status of inhabitants depending on socio-economic situation in European countries based on selected social and health indicators in two different periods. The earlier period is the year 2000, and the later period is the year 2015 or the most recent years. The results of the analysis based on multidimensional statistical methods should give an answer to the question as to whether and how strongly the socio-economic situation in the countries of Europe affects the health status of the population and how the situation has changed over the course of 15 years. In accordance with the stated objectives we have chosen 15 variables (source: WHO, OECD, Eurostat). These variables (indicators) together characterize the quality of life in terms of socio-economic situation and state of health of citizens in 22 selected European countries. The choice of countries was mainly influenced by the availability of data of the selected variables in the both years 2000 and 2015. According to the above mentioned goals of the article we have used factor analysis, cluster analysis and multidimensional comparative analysis methods on data sets of health and socio-economic indicators in the both years. The results of the application of these multidimensional statistical methods, their comparisons and comparisons over time can provide information on whether the targets of the European Commission and the OECD to reduce health inequalities, depending on the socio-economic situation in European countries, in the period from 2000 to 2015 have been achieved.en
dc.formattext
dc.format.extent17 strancs
dc.identifier.doi10.15240/tul/001/2018-2-001
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/26411
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.ispartofBeckfield, J., & Krieger, N. (2009). Epi + demos + cracy: linking political systems and priorities to the magnitude of health inequities – evidence, gaps, and a research agenda. Epidemiologic Reviews, 31(1), 152-177. https://dx.doi.org/10.1093/epirev/mxp002.cs
dc.relation.ispartofClark, J. S., Dittrich, L. O., Stará, D., & Barták, M. (2017). The Visit Fees and Its Influence on Overall Health Expenditures – the Case of the Czech Republic. E&M Ekonomie a Management, 20(2), 4-14. https://dx.doi.org/10.15240/tul/001/2017-2-001.cs
dc.relation.ispartofDeaton, A. (2003). Health, Inequality, and Economic Development. Journal of Economic Literature, 41(1), 113-158. https://dx.doi.org/10.1257/002205103321544710.cs
dc.relation.ispartofEuropean Commision. (2018). HEALTH – Information on policies, strategy and funding in health research and innovation. Retrieved from https://ec.europa.eu/research/health/index.cfm.cs
dc.relation.ispartofEuropean Union. (2013). Improving health for all EU citizens. Luxembourg: Publications Office of the EU. https://dx.doi.org/10.2775/79603.cs
dc.relation.ispartofEuropean Union. (2015). Portfolio of EU Social Indicators for the Monitoring of Progress Towards the EU Objectives for Social Protection and Social Inclusion. Luxembourg: Publications Office of the EU. https://dx.doi.org/10.2767/929097.cs
dc.relation.ispartofEurostat/European Comission. (2010). Analysing the socioeconomic determinants of health in Europe: new evidence from EU-SILC [Eurostat Methodologies and Working papers]. https://dx.doi.org/10.2785/5478.cs
dc.relation.ispartofEurostat. (2017). Sustainable development in the European Union. Luxembourg: Publications Office of the EU. https://dx.doi.org/10.2785/237722.cs
dc.relation.ispartofFitzmaurice, C., Allen, C., Barber, R. M. et al. (2017). Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015. JAMA Oncology, 3(4), 524-548. https://dx.doi.org/10.1001/jamaoncol.2016.5688.cs
dc.relation.ispartofGavurová, B., & Vagasová, T. (2016). 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 Economics Review, 6(21), https://dx.doi.org/10.1186/s13561-016-0099-1.cs
dc.relation.ispartofGrabiński, T., Wydmus, S., & Zeliaś, A. (1993). Metody prognozowania rozwoju społeczno-gospodarczego, Kraków: Wydawnictwo AE.cs
dc.relation.ispartofHair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2007). Multivariate Data Analysis (6th ed.). New Jersey: Pearson Education.cs
dc.relation.ispartofHebák, P., Hustopecký, J., Jarošová, E., I., & Pecáková, I. (2004). Vícerozměrné statistické metody (Multivariate statistical methods). Praha: Informatorium.cs
dc.relation.ispartofd'Hombres, B., Elia, L., & Weber, A. (2013). Multivariate analysis of the effect of income inequality on health, social capital, and happiness. Luxembourg: Publication office of the EU. https://dx.doi.org/10.2788/68427.cs
dc.relation.ispartofJayasinghe, S. (2015). Social determinants of health inequalities: towards a theoretical perspective using systems science. International Journal for Equity in Health. 14(71). https://dx.doi.org/10.1186/s12939-015-0205-8.cs
dc.relation.ispartofJindrová, P. (2013). Quantification of Risk in Critical Illness Insurance. In Conference proceedings from 9th international scientific conference Financial Management of Firms and Financial Institutions (pp. 298-306). Ostrava: VŠB Ostrava.cs
dc.relation.ispartofJindrová, P., & Kopecká, L. (2017). Assessment of risk factors of serious diseases in OECD countries. In Proceedings of the 11th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena (pp. 123-132). Cracow: Cracow University.cs
dc.relation.ispartofJohnson, R. A., & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis (6th ed.). New Jersey: Pearson Prentice Hall.cs
dc.relation.ispartofKopecká, L., & Jindrová, P. (2017). Comparison of Mortality due to Critical Illnesses in the EU Countries. In Proceedings of the 11th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena (pp. 133-142). Cracow: Cracow University.cs
dc.relation.ispartofKuc, M. (2012). The Implementation Of Synthetic Variable For Constructing The Standard Of Living Measure In European Union Countries. Oeconomia copernicana, 3(3), 5-19.cs
dc.relation.ispartofLabudová, V., Vojtková, M., & Linda, B. (2010). Application of multidimensional methods to measure poverty. E&M Ekonomie a Management, 13(1), 6-22.cs
dc.relation.ispartofLundberg, O., Dahl, E., Fritzell, J., Palme, J., & Sjöberg, O. (2016). Social protection, income and health inequities. WHO Regional Office for Europe. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/302874/TG-GDP-taxes-income-welfare-final-report.pdf?ua=1.cs
dc.relation.ispartofMarmot, M. G., Shipley, M., & Rose, G. (1984). Inequalities in Death—Specific Explanations of a General Pattern. Lancet 323(8384), 1003-1006. https://dx.doi.org/10.1016/S0140-6736(84)92337-7.cs
dc.relation.ispartofMarmot, M. G. (2002). The Influence of Income on Health: Views of an Epidemiologist. Health Affairs 21(2), 31-46. https://dx.doi.org/10.1377/hlthaff.21.2.31.cs
dc.relation.ispartofOECD. (2015). Health at a Glance 2015: OECD Indicators. Paris: OECD Publishing. https://dx.doi.org/10.1787/health_glance-2015-en.cs
dc.relation.ispartofOECD/EU. (2016). Health at a Glance: Europe 2016: State of Health in the EU Cycle. Paris: OECD Publishing. https://dx.doi.org/10.1787/9789264265592-en.cs
dc.relation.ispartofOECD. (2016). Society at a Glance 2016: OECD Social Indicators. Paris: OECD Publishing. https://dx.doi.org/10.1787/9789264261488-en.cs
dc.relation.ispartofPreston, S. H. (2007). The Changing Relation between Mortality and Level of Economic Development. International Journal of Epidemiology, 36(3), 484-490. https://dx.doi.org/10.1093/ije/dym075.cs
dc.relation.ispartofRodgers, G. B. (1979). Income and Inequality as Determinants of Mortality: An International Cross-section Analysis. Population Studies, 33(2), 343-351. https://dx.doi.org/10.1080/00324728.1979.10410449.cs
dc.relation.ispartofSokolowski, A. (1999). Regional Differences in Living Standards in Eastern European Countries – Changes During the Transition. Research Support Scheme, Open Society Institute. Retrieved from http://rss.archives.ceu.hu/archive/00001052/01/52.pdf.cs
dc.relation.ispartofPacáková, V., Jindrová, P., & Zapletal, D. (2016). Comparison of Health Care Results in Public Health System of European Countries. In European Financial Systems 2016: proceedings of the 13th International Scientific Conference (pp. 534-541). Brno: Masarykova Univerzita.cs
dc.relation.ispartofPacáková, V., & Papoušková, M. (2016). Multidimensional Comparisons of Health Systems Functioning in OECD Countries. International Journal of Mathematical Models and Methods in Applied Sciences, 10, 388-394.cs
dc.relation.ispartofŘezánková, H., Húsek, D., & Snášel, V. (2009). Shluková analýza dat. Praha: Professional Publishing.cs
dc.relation.ispartofStaníčková, M. (2015). Classifying the EU Competitiveness Factors Using Multivariate Statistical Methods. Procedia Economics and Finance, 23, 313-320. https://dx.doi.org/10.1016/S2212-5671(15)00508-0.cs
dc.relation.ispartofStankovičová, I., & Vojtková, M. (2007). Viacrozmerné štatistické metódy s aplikáciami. Bratislava: Iura Edition.cs
dc.relation.ispartofŠoltés, V., & Gavurová, B. (2014). The Functionality Comparison of the Health Care Systems by the Analytical Hierarchy Process Method. E&M Ekonomie a Management, 17(3), 100-117. https://dx.doi.org/10.15240/tul/001/2014-3-009.cs
dc.relation.ispartofWHO. (2015). WHO Mortality Database. Retrieved from http://www.who.int/healthinfo/mortality_data/en/.cs
dc.relation.ispartofWHO. (2016). The European health report 2015. Retrieved from http://www.euro.who.int/__data/assets/pdf_file/0006/288645/European-health-report-2015-full-book-en.pdf.cs
dc.relation.ispartofWilkins, E., Wilson, L., Wickramasinghe, K., Bhatnagar, P., Leal, J., Luengo-Fernandez, R., Burns, R., Rayner, M., & Townsend, N. (2017). European Cardiovascular Disease Statistics 2017. Brussels: European Heart Network.cs
dc.relation.ispartofWilkinson, R. (1992). Income distribution and life expectancy. British Medical Journal, 304(6824), 165-168.cs
dc.relation.ispartofWilkinson, R. G., & Pickett, K. E. (2006). Income inequality and population health: a review and explanation of the evidence. Social Science & Medicine, 62(7), 1768-1784. https://dx.doi.org/10.1016/j.socscimed.2005.08.036.cs
dc.relation.ispartofWilkinson, R. G., & Pickett, K. E. (2009). The Spirit Level: Why More Equal Societies Almost Always Do Better. London: Allen Lane. Leadership and Policy in Schools, 11(1), 129-134. https://dx.doi.org/10.1080/15700763.2011.577928cs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjecthealthen
dc.subjectsocio-economic situationen
dc.subjectinequalitiesen
dc.subjectmultidimensional statistical methodsen
dc.subject.classificationI14
dc.subject.classificationI15
dc.subject.classificationC38
dc.titleInequalities in health status depending on socio-economic situation in the European countriesen
dc.typeArticleen
local.accessopen
local.citation.epage20
local.citation.spage4
local.facultyFaculty of Economics
local.filenameEM_2_2018_01
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue2
local.relation.volume21
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
EM_2_2018_01.pdf
Size:
1.71 MB
Format:
Adobe Portable Document Format
Description:
Článek
Download
Collections
Číslo 2