The diversity of life expectancy in selected subregions of Silesia voivodeship and the quality of air between 2008 and 2012
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Katedra i Zakład Epidemiologii, Wydział Lekarski w Katowicach, Śląski Uniwersytet Medyczny. Kierownik jednostki: Prof. dr hab. n. med. J.E. Zejda
Corresponding author
Anna Korczyńska   

Katedra i Zakład Epidemiologii Wydział Lekarski w Katowicach Śląski Uniwersytet Medyczny w Katowicach ul. Medyków 18, 40-752 Katowice tel. 32 2088536
Med Srod. 2014;17(4):47-53
The studies of life expectancy diversity of subregions in Silesia voivodeship are complemented with an important information on health inequalities. Air quality impact can not be excluded from the potentialdeterminants of this diversity. The aim of the study is to provide an answer whether diversity of life expectancy (LE) in selected subregions in Silesia voivodeship at the time of birth (LE0+) and over 65 years of age (LE65+) corresponds with the data on air pollution recorded for the years between 2008 and 2012

Material and Methods:
Data was collected on life expectancy 0+ (LE0+) and life expectancy 65+ (LE65+) for 2012 for the population in three subregions (Central Statistical Office – CSO). The analysis included three subregions: the best (bielski subregion), average (katowicki), and the worst (rybnicki) of air quality defined by annual average concentrations of gaseous and particulate pollutants (Regional Inspectorate of Environmental Protection – RIEP, between 2008 and 2012). Then the LE was correlated with the average area pollution levels between 2008 and 2012.

Results of the study show diversity of LE in subregions. The lowest values LE0+ and LE65+ in 2012 were for males (70.1 and 14.8 years) and for females (78.7 and 18.6 years) in katowicki subregion. The highest LE0+ and LE65+ was observed for males (73.2 and 15.4 years) and females (80.9 and 19.5 years) in bielski subregion. Annual average area concentrations of air pollutants in subregions bielski, rybnicki and katowicki were: for PM10 42.1, 64.1 and 51 μg/m3 respectively; for PM2.5 36.8, 39 and 32.3 μg/m3 respectively; for benzo(a)pyrene 7.4, 13.4 and 7.6 ng/m3respectively.

The relationship between life expectancy and air quality doesn’t provide an unambiguous answer whether LE is structured by various factors, such as a level of income available medical infrastructure and lifestyle

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