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RESEARCH PAPER
Years of life lost due to viral hepatitis in Poland, 2000–2014
1
Department of Epidemiology and Biostatistics, Medical University, Łódż, Poland
Corresponding author
Ann Agric Environ Med. 2021;28(2):300-305
KEYWORDS
TOPICS
Biological agents posing occupational risk in agriculture, forestry, food industry and wood industry and diseases caused by these agents (zoonoses, allergic and immunotoxic diseases)State of the health of rural communities depending on various factors: social factors, accessibility of medical care, etc.
ABSTRACT
Introduction:
Viral hepatitis often affects young people; it therefore seems reasonable to analyze the phenomenon of premature mortality due to this reason, using Years of Life Lost (YLLs) measurement.
Objective:
The aim of the study was to analyze YLLs due to viral hepatitis in Poland in 2000–2014. For the years 2002 and 2011, socio-economic variables (marital status, level of education, working status, place of residence) were included.
Material and methods:
The research material was a database containing information from 5,601,568 death certificates of Polish citizens from 2000–2014. The data on deaths caused by viral hepatitis, i.e. coded as B15-B19 according to the ICD-10, was used for the analysis. The Standard Expected Years of Life Lost measure was used to calculate YLLs. Analysis of time trends was performed with the linear regression method using the joinpoint model.
Results:
In the studied period, 3.628 deaths of Polish citizens were caused by viral hepatitis (0.06% of all deaths), which translated to 92,845.70 YLLs (16.17 years per 100,000 inhabitants). The number of YLLs increased over time (p<0.05), reaching its highest value in the last analyzed year – 22.14 years per 100,000. The YLLs average per one death was 25.59 years. Among the risk group there were individuals living in urban areas, divorced/separated, with lower than secondary education, and economically inactive.
Conclusions:
Despite the fact that Poland belongs to a group of countries with low mortality due to viral hepatitis, this disease is a serious social problem as measured with YLLs. The study provides the basis for policymakers to implement more effective methods to prevent premature deaths caused by this disease.
Viral hepatitis often affects young people; it therefore seems reasonable to analyze the phenomenon of premature mortality due to this reason, using Years of Life Lost (YLLs) measurement.
Objective:
The aim of the study was to analyze YLLs due to viral hepatitis in Poland in 2000–2014. For the years 2002 and 2011, socio-economic variables (marital status, level of education, working status, place of residence) were included.
Material and methods:
The research material was a database containing information from 5,601,568 death certificates of Polish citizens from 2000–2014. The data on deaths caused by viral hepatitis, i.e. coded as B15-B19 according to the ICD-10, was used for the analysis. The Standard Expected Years of Life Lost measure was used to calculate YLLs. Analysis of time trends was performed with the linear regression method using the joinpoint model.
Results:
In the studied period, 3.628 deaths of Polish citizens were caused by viral hepatitis (0.06% of all deaths), which translated to 92,845.70 YLLs (16.17 years per 100,000 inhabitants). The number of YLLs increased over time (p<0.05), reaching its highest value in the last analyzed year – 22.14 years per 100,000. The YLLs average per one death was 25.59 years. Among the risk group there were individuals living in urban areas, divorced/separated, with lower than secondary education, and economically inactive.
Conclusions:
Despite the fact that Poland belongs to a group of countries with low mortality due to viral hepatitis, this disease is a serious social problem as measured with YLLs. The study provides the basis for policymakers to implement more effective methods to prevent premature deaths caused by this disease.
REFERENCES (31)
1.
World Health Organization. Global Health Sector Strategy on Viral Hepatitis, 2016–2021. Geneva, Switzerland 2016. Available from: http://apps.who.int/iris/bitst... (access: 2019.11.03).
2.
Vis T, Allen C, Arora M, Barber RM, Bhutta Za, Brown A, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016; 388: 1545–1602.
3.
Shepard CW, Simard EP, Finelli L, Flore AE, Bell BP. Hepatitis B virus infection: epidemiology and vaccination. Epidemiol Rev. 2006; 28: 112–125.
4.
Ansaldi F, Orsi A, Sticchi L, Bruzzone B, Icardi G. Hepatitis C virus in the new era: Perspectives in epidemiology, prevention, diagnostics and predictors of response to therapy. World J Gastroenerol. 2014; 20(29): 9633–9652.
5.
World Health Organization. Global Hepatitis Report, 2017. Geneva, Switzerland 2017. Available from: http://apps.who.int/iris/bitst... (access: 2019.11.03).
7.
Whitehead M, Dahlgren G. Concepts and principles for tackling social inequities in health: levelling up, part 1. Copenhagen, WHO Regional Office for Europe, 2007. Available from: http://www.euro.who.int/__data... (access: 2019.10.23).
8.
Pikala M, Maniecka-Bryła I. Socioeconomic inequalities in mortality due to all causes in the working age population of Poland in 2002 and 2011. Med Pr. 2017; 68(6): 771–778.
9.
Bryła M, Maniecka-Bryła I, Burzyńska M, Pikala M. Years of life lost of inhabitants of rural areas in Poland due to premature mortality caused by external reasons of death 1999–2012. Ann Agric Environ Med. 2016; 23(4): 598–603.
10.
Murray CJL, Lopez AD. The Global Burden of Disease. A comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2010. Boston: Harvard University Press, 1996.
11.
Central Statistical Office in Poland. Local Data Bank. Available from: http://www.bdl.stat.gov.pl (access: 2019.10.28).
12.
Murray CJL, Ezzati M, Flaxman AD, Lim S, Lozano R, Michaud C, et al. GBD 2010: design, definitions, and metrics. Lancet. 2012; 380: 2063–2066.
13.
National Cancer Institute, Surveillance Research Program, Statistical Methodology and Applications Branch. Joinpoint Regression Program, Version 4.2.0—April 2015.
14.
European Statistical System. Available from: https://ec.europa.eu/CensusHub... (access: 2019.11.23).
15.
Central Statistical Office in Poland. National Census 2002. Available from: http://stat.gov.pl/spisy-powsz... (access: 2019.10.23).
16.
International Standard Classification of Education 2011. Montreal, UNESCO Institute for Statistics, 2012. Available from: http://uis.unesco.org/sites/de... (access: 2019.10.24).
17.
Mackenbach JP, Kunst AE. Measuring the magnitude of socio-economic inequalities in health: An overview of available measures illustrated with two examples from Europe. Soc Sci Med. 1997; 44(6): 757–771.
18.
Maniecka-Bryła I, Pikala M, Bryła M. Life years lost due to cardiovascular diseases. Kardiol Pol. 2013; 71: 1065–1072.
19.
Pikala M, Maniecka-Bryła I. Years of life lost due to malignant neoplasms characterized by the highest mortality rate. Arch Med Sci. 2014; 10(5): 999–1006.
20.
Bryła M, Dziankowska-Zaborszczyk E, Bryła P, Pikala M, Maniecka-Bryła I. Years of life lost due to infectious diseases in Poland. PLoS ONE. 2017; 12(3): e0174391.
21.
European Centre for Disease Prevention and Control. Hepatitis B and C surveillance in Europe 2012. Stockholm: ECDC, 2014.
22.
Chlabicz S, Flisiak R, Grzeszczuk A, Kovalchuk O, Prokopowicz D, Chyczewski L. Known and probable risk factors for hepatitis C infection: a case series in north-eastern Poland. World J Gastroenterol. 2006; 12: 141–145.
23.
Stępień M, Rosińska M. Hepatitis C outbreaks in Poland in 2003–2013. Medical procedures as a dominant route of HCV transmission. Przegl Epidemiol. 2015; 69: 465–472.
24.
Paciej-Gołębiowska P, Pikala M, Maniecka-Bryła I. Years of life lost due to diseases of the digestive system in Poland according to socio-economic factors: a cross-sectional study. BMJ Open. 2019; 9: e030304.
25.
Mackenbach JP, Stirbu I, Roskam AJ, Schaap MM, Menvielle G, Leinsalu M, et al. Socioeconomic inequalities in health in 22 European countries. N Engl J Med. 2008; 358(23): 2468–2481.
26.
Huisman M, Kunst AE, Bopp M, Borgan JK, Borrell C, Costa G, et al. Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations. Lancet. 2005; 365(9458): 493–500.
27.
Zieliński A, Rosińska M. The problem of elimination of HCV infections in Poland. Przegl Epidemiol. 2017; 71(1): 3–14.
28.
European Association of the Study of the Liver. EASL Recommendations on Treatment of Hepatitis C 2016. J Hepatol 2016.
29.
Paciej-Gołębiowska P, Pikala M, Maniecka-Bryła I. Years of life lost due to malignant neoplasms of the digestive system in Poland in the years 2000–2014. United European Gastroenterol J. 2018; 6(6): 943–951.
30.
Pikala M, Maniecka-Bryła I. Fifteen-year mortality trends due to cardiovascular diseases in Poland using standard expected years of life lost, 2000–2014. Kardiol Pol. 2017; 75(10): 1030–1040.
31.
Jobczyk M, Pikala M, Różański W, Maniecka-Bryła I. Years of life lost due to bladder cancer among the inhabitants of Poland in the years 2000 to 2014. Cent European J Urol. 2017; 70(4): 338–343.
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