Dąbrowiecki Piotr, Badyda Artur, Chciałowski Andrzej, Czechowski Piotr Oskar, Wrotek August
Department of Allergology and Infectious Diseases, Military Institute of Medicine, 04-141 Warsaw, Poland.
Polish Federation of Asthma, Allergy and COPD Patients Associations, 01-604 Warsaw, Poland.
J Clin Med. 2022 May 30;11(11):3084. doi: 10.3390/jcm11113084.
Poland has one of the worst air qualities in the European Union, particularly regarding concentrations of particulate matter (PM). This study aimed to evaluate the short-term effects of air pollution and weather conditions on all-cause mortality and pneumonia-related hospitalizations in three Polish agglomerations. We investigated data from 2011 to 2018 on a number of health outcomes, concentrations of PM2.5, PM10, nitrogen dioxide (NO2), ozone (O3), and selected meteorological parameters. To examine the impact of air pollutants and weather conditions on mortality and pneumonia burden, we identified optimal general regression models for each agglomeration. The final models explained <24% of the variability in all-cause mortality. In the models with interactions, O3 concentration in Warsaw, NO2, O3, and PM2.5 concentrations in Cracow and PM10 and O3 concentrations in the Tricity explained >10% of the variability in the number of deaths. Up to 46% of daily variability in the number of pneumonia-related hospitalizations was explained by the combination of both factors, i.e., air quality and meteorological parameters. The impact of NO2 levels on pneumonia burden was pronounced in all agglomerations. We showed that the air pollution profile and its interactions with weather conditions exert a short-term effect on all-cause mortality and pneumonia-related hospitalizations. Our findings may be relevant for prioritizing strategies to improve air quality.
波兰是欧盟空气质量最差的国家之一,尤其是在颗粒物(PM)浓度方面。本研究旨在评估空气污染和天气条件对波兰三个城市群全因死亡率和肺炎相关住院率的短期影响。我们调查了2011年至2018年期间关于一些健康结果、PM2.5、PM10、二氧化氮(NO2)、臭氧(O3)浓度以及选定气象参数的数据。为了研究空气污染物和天气条件对死亡率和肺炎负担的影响,我们为每个城市群确定了最佳的一般回归模型。最终模型解释的全因死亡率变异性<24%。在有交互作用的模型中,华沙的O3浓度、克拉科夫的NO2、O3和PM2.5浓度以及三联市的PM10和O3浓度解释了死亡人数变异性的>10%。空气质量和气象参数这两个因素的组合解释了高达46%的肺炎相关住院人数的每日变异性。在所有城市群中,NO2水平对肺炎负担的影响都很显著。我们表明,空气污染状况及其与天气条件的相互作用对全因死亡率和肺炎相关住院率有短期影响。我们的研究结果可能与确定改善空气质量策略的优先级相关。