Hana Tomášková 1,2 , Ivan Tomášek 1,2 , Hana Šlachtová 2 , Pavla Polaufová 1 , Anna Šplíchalová 1 , Jiří Michalík 1 , David Feltl 3 , Jaroslav Lux 2,4 , Marie Marsová 5 Show Affiliations »
Abstract
BACKGROUND AND AIM: The city of Ostrava and its surroundings belong to the most long-therm polluted areas in the Czech Republic and Europe. For identification of health risk, the World Health Organization recommends a theoretical estimation of increased short-term PM10 concentrations effect on hospital admissions for cardiac complaints based on a 0.6% increase per 10 µg.m-3 PM10 and 1.14% increase for respiratory causes. The goal of the present study is to verify the percentage increase of morbidity due to cardiovascular and respiratory causes, as per WHO recommendations for health risk assessment, in the population of Ostrava. METHOD: The input data include data on PM10 air pollution, meteorological data, the absolute number of hospital admissions for acute cardiovascular and respiratory diseases in the period 2010-2012. To examine the association between air pollution and health outcomes the time series Poisson regression adjusted for covariates was used. RESULTS: A significant relationship was found between the cardiovascular hospital admissions (percentage increase of 1.24% per 10 µg.m-3) and values of PM10 less than 150 µg.m-3 in the basic model, although after adjustment for other factors, this relationship was no longer significant. A significant relationship was also observed for respiratory causes of hospital admissions in the basic model. Contrary to cardiovascular hospitalization, the relationship between respiratory hospital admissions and PM10 values below 150 µg.m-3 (percentage increase of 1.52%) remained statistically significant after adjustment for other factors. CONCLUSIONS: The observed significant relationship between hospital admissions for respiratory causes was consistent with the results of large European and American studies. Copyright© by the National Institute of Public Health, Prague 2016
BACKGROUND AND AIM: The city of Ostrava and its surroundings belong to the most long-therm polluted areas in the Czech Republic and Europe. For identification of health risk, the World Health Organization recommends a theoretical estimation of increased short-term PM10 concentrations effect on hospital admissions for cardiac complaints based on a 0.6% increase per 10 µg.m-3 PM10 and 1.14% increase for respiratory causes. The goal of the present study is to verify the percentage increase of morbidity due to cardiovascular and respiratory causes, as per WHO recommendations for health risk assessment, in the population of Ostrava. METHOD: The input data include data on PM10 air pollution, meteorological data, the absolute number of hospital admissions for acute cardiovascular and respiratory diseases in the period 2010-2012. To examine the association between air pollution and health outcomes the time series Poisson regression adjusted for covariates was used. RESULTS: A significant relationship was found between the cardiovascular hospital admissions (percentage increase of 1.24% per 10 µg.m-3) and values of PM10 less than 150 µg.m-3 in the basic model, although after adjustment for other factors, this relationship was no longer significant. A significant relationship was also observed for respiratory causes of hospital admissions in the basic model. Contrary to cardiovascular hospitalization, the relationship between respiratory hospital admissions and PM10 values below 150 µg.m-3 (percentage increase of 1.52%) remained statistically significant after adjustment for other factors. CONCLUSIONS: The observed significant relationship between hospital admissions for respiratory causes was consistent with the results of large European and American studies. Copyright© by the National Institute of Public Health, Prague 2016
Entities: Disease
Keywords:
health risk assessment; hospital admissions; particulate matter; time series
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Year: 2016
PMID： 28160535 DOI： 10.21101/cejph.a4538
Source DB: PubMed Journal: Cent Eur J Public Health ISSN： 1210-7778 Impact factor: 1.163