City-scale assessment of long-term air quality impacts on the respiratory and cardiovascular health

Bibliographic Data

ID22089691
AuthorsLibor Šulc (0000-0002-9984-2675, Masaryk University), Petr Gregor (0000-0002-8291-4708, Masaryk University), Jiří Kalina (0000-0002-4103-6937, Masaryk University), Ondřej Mikeš (0000-0003-3633-737X, Masaryk University), Tomáš Janoš (0000-0001-6975-1716, Masaryk University), Pavel Čupr (0000-0002-3848-7091, Masaryk University, corresponding author)
Year2022
Volume10
Pages1006536-1006536
Publication date2022-11-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1006536
PMID36438287
OpenAlexW4308870971
LanguageEN
Citations received1
References cited63

Background The impact of the urban environment on human health is a contemporary subject of environmental research. Air pollution is often considered a leading environmental driver. However, a plethora of other factors within the urban exposome may be involved. At the same time, the resolution of spatial data is also an important facet to consider. Generally, systematic tools for accurate health risk assessment in the urban environment are missing or are not implemented. Methods The long-term impact of air quality (PM 10 , PM 2.5 , NO 2 , benzene, and SO 2 ) on respiratory and cardiovascular health was assessed with a log-linear model. We used the most accurate health data in high city scale spatial resolution over the period 2010 to 2018. Selected external exposome parameters were also included in the analysis. Results Statistically significant associations between air pollution and the health of the urban population were found. The strongest association was between benzene and the incidence of bronchitis in the adult population [RR 1.552 95% CI (1.415–1.704) per 0.5 μg/m 3 change in benzene concentration]. A similar relation was observed between NO 2 and the same health condition [RR 1.483 95% CI (1.227–1.792) per 8.9 μg/m 3 of change in NO 2 ]. Other weaker associations were also found between asthma in children and PMs, NO 2 , or benzene. Cardiovascular-related hospitalizations in the general population were linked with NO 2 [RR 1.218 95% CI (1.119–1.325) per 9.7 μg/m 3 change in NO 2 ]. The remaining pollutants were slightly less but still significantly associated with cardiovascular-related hospitalizations. Conclusion Our findings are mostly highly statistically significant ( p ≤ 0.001) and are in line with current literature on the adverse effects of air pollution on the human population. The results highlight the need for continual improvements in air quality. We propose the implementation of this approach as a systematic tool for the investigation of possible health risks over a long period of time. However, further research involving other variables is an essential step toward understanding the complex urban exposome and its implications for human health. An increase in data spatial resolution is especially important in this respect as well as for improving city health risk management

Air pollution · Air quality index · Asthma · Bronchitis · Environmental epidemiology · Environmental health · Exposome · Geography · Meteorology · Pathology · Population · Public health · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Chemistry · Health, Environment, Cognitive Aging · Medicine · Internal Medicine

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