Cent Eur J Public Health 2017, 25(Suppl 2):S37-S43 | DOI: 10.21101/cejph.a5050
Risk of dying from cancer by socio-demographic indicators in the Slovak Republic
- 1 Faculty of Economics, Technical University of Košice, Košice, Slovak Republic
- 2 Departmnet of Marketing and International Trade, Faculty of Management, University of Prešov, Prešov, Slovak Republic
- 3 Department of Addictology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- 4 Department of Medical Informatics, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Košice, Slovak Republic
- 5 Third Department of Internal Medicine, University Hospital and UK Faculty of Medicine, Bratislava, Slovak Republic
Aim: Cancer mortality distribution was investigated by detailed neoplasms groups, age, sex, marital status of deceased, and regions in the Slovak Republic, and examined how these determinants influence the odds of dying due to cancer.
Methods: A retrospective analysis of cancer mortality statistics registered in the Slovak Republic during the years 1996-2014. For this time period, data was available only on the underlying subgroups of cancer deaths, place of death, age, year, sex, and marital status. Binary logistic regression was applied for odds of dying calculation influenced by these socio-demographic factors.
Results: The most common are deaths from malignant neoplasms of digestive organs in males as well as females. The biggest difference among both genders is recognized in malignant neoplasms of lip, oral cavity and pharynx, where deaths among males are on average 7.9 times higher in comparison to females. As for place of death the Bratislava region reports the highest level of cancer mortality stated at 25.22% of all deaths, on the contrary the Banská Bystrica region reports only 21.40% of all deaths. Age has a negative influence on odds of dying due to neoplasms compared to all other causes of death by 1.7%. In all regions compared to the reference Bratislava region, the odds of dying from neoplasms are lower. Being female diminishes the odds of dying due to neoplasms by 25.7% compared to males. Yearly the relative ratio of dying from neoplasms increases with respect to all other causes of death. When single people are set as the reference category, the relation of the probability of death from cancer to the probability of death due to other causes of death is higher for married, divorced and widowed persons.
Conclusions: The results should be taken into account when comparing risk of dying due to cancer among people with the mentioned socio-demographic characteristics. Health policy makers should consider place of death and cancer types while planning hospital care units.
Keywords: cancer mortality, odds of dying, socio-demographic factors, marital status
Received: January 26, 2017; Revised: December 19, 2017; Published: December 30, 2017 Show citation
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References
- Rečková M, et al. Selected chapters of clinical oncology. Bratislava: ROWEX; 2014. (In Slovak.)
- Ondrušová M. National Cancer Registry of the Slovak Republic - the basic source of information in health policy. Onkológia. 2006;1(1):64-5. (In Slovak.)
- Stewart BW, Wild CP. World cancer report 2014. Lyon: WHO Press; 2014.
- National Cancer Registry of Slovakia. Cancer incidence in the Slovak Republic 2009. Bratislava: National Health Information Center; 2015.
- World Health Organization, International Agency for Research on Cancer. GLOBOCAN 2012. Slovakia (2012): estimated cancer incidence, all ages: both sexes [Internet]. Lyon: IARC [cited 2016 Sep 15]. Available from: http://globocan.iarc.fr/old/summary_table_pop-html.asp?selection=171703&title=Slovakia&sex=0&type=0&window=1&sort=1⊂mit=%C2%A0Execute.
- EUROCARE-5 Survival Analysis 2000-2007 [Internet]. [cited 2016 Sep 15]. Available from: https://w3.iss.it/site/eu5results/forms/SA0007.aspx.
- World Health Organization. Global status report on noncommunicable diseases 2014. Geneva: WHO; 2014.
- Health statistics yearbook of the Slovak Republic 2014. Bratislava: National Health Information Center; 2016. (In Slovak, English.)
- OECD. Health at a Glance 2015: OECD Indicators [Internet]. Paris: OECD Publishing; 2015 [cited 2016 Sep 9]. Available from: http://www.oecd-ilibrary.org/social-issues-migration-health/health-at-a-glance_19991312.
- Flanders WD, Lally CA, Zhu BP, Henley SJ, Thun MJ. Lung cancer mortality in relation to age, duration of smoking, and daily cigarette consumption: results from Cancer Prevention Study II. Cancer Res. 2003;63(19):6556-62.
Go to PubMed...
- Balogh E, Patlak M, Nass SJ; Institute of Medicine. Reducing tobacco-related cancer incidence and mortality: workshop summary. Washington: The National Academies Press; 2012.
Go to original source...
- Simopoulos AP, editor. Nutrition and fitness: obesity, the metabolic syndrome, cardiovascular disease, and cancer. Proceedings of the 5th International Conference on Nutrition and Fitness; 2004 Jun 9-12; Athens, Greece. Basel: Karger; 2005.
Go to original source...
- Rehm J, Baliunas D, Borges GL, Graham K, Irving H, Kehoe T, et al. The relation between different dimensions of alcohol consumption and burden of disease: an overview. Addiction. 2010 May;105(5):817-43.
Go to original source...
Go to PubMed...
- Jasilionis D, Smailyte G, Vincerzevskiene I, Shkolnikov VM. Educational differentials in cancer mortality and avoidable deaths in Lithuania, 2001-2009: a census-linked study. Int J Public Health. 2015;60(8):919-26.
Go to original source...
Go to PubMed...
- Ito S, Takachi R, Inoue M, Kurahashi N, Iwasaki M, Sasazuki S, et al. Education in relation to incidence of and mortality from cancer and cardiovascular disease in Japan. Eur J Public Health. 2008 Oct;18(5):466-72.
Go to original source...
Go to PubMed...
- Anttila S, Boffetta P, editors. Occupational cancers. London: Springer; 2014.
Go to original source...
- Pol L, Thomas R. The Demography of health and healthcare. Dordrecht: Springer; 2013.
Go to original source...
- Rogers RG, Hummer RA, Nam C. Living and dying in the USA. California: Academic Press; 2000.
- Spijker J. Socioeconomic determinants of regional mortality differences in Europe. Amsterdam: Dutch University Press; 2004.
- Rawshani A, Svensson AM, Zethelius B, Eliasson B, Rosengren A, Gudbjörnsdottir S. Association between socioeconomic status and mortality, cardiovascular disease, and cancer in patients with type 2 diabetes. JAMA Intern Med. 2016 Aug 1;176(8):1146-54.
Go to original source...
- Kibele EUB. Regional mortality differences in Germany. Dordrecht: Springer Science+Business Media; 2012.
Go to original source...
- World Health Organization. Social inequalities in health in Poland. Denmark: WHO Regional Office for Europe; 2012.
- Kráľ P, et al. Multidimensional statistical methods focused on solving problems of economic practice. Banská Bystrica: Matej Bel University, Faculty of Economics; 2009. (In Slovak.)
- Řezanková, H. Questionnaire survey data analysis. 3rd ed. Prague: Professional Publishing; 2011. (In Czech.)
- Slovak Alliance for Chronic Diseases. Trend analysis of chronic diseases and monitoring of health indicators in the context of 9 targets for global monitoring framework by 2025 [Internet]. 2014 [cited 2016 Sep 20]. Available from: http://www.hpi.sk/cdata/Documents/Analyza_trendov_CHO_a_monitorovanie_RF.pdf (In Slovak.)
- Centers for Disease Control and Prevention. National Center for Health Statistics. National marriage and divorce rate trends (Per mile) [Internet]. Atlanta: CDC [cited 2016 Sep 29]. Available from: http://www.cdc.gov/nchs/nvss/marriage_divorce_tables.htm.
- Statistical Office of the Slovak Republic. Crude divorce rate (Per mile) [Internet]. Bratislava: Statistical Office of the SR [cited 2016 Sep 29]. Available from: http://datacube.statistics.sk/TM1WebSK/. (In Slovak.)
- Shoenborn CA. Marital status and health: United States, 1999-2002. Adv Data. 2004 Dec 15;(351):1-32.
Go to original source...