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http://dx.doi.org/10.5668/JEHS.2008.34.2.124

Age Dependencies in Air Pollution-associated Asthma Hospitalization  

Bae, Hyun-Joo (Korea Environment Institute)
Ha, Jong-Sik (Korea Environment Institute)
Lee, Ae-Kyung (Institute for National Health Insurance, National Health Insurance Corporation)
Park, Jeong-Im (Department of Environmental Health Sciences, Soon Chun Hyang University)
Publication Information
Journal of Environmental Health Sciences / v.34, no.2, 2008 , pp. 124-130 More about this Journal
Abstract
This study investigated the age dependencies in ambient air pollution-associated asthma hospitalization from 2003 to 2005 in Seoul. For all ages and the age groups of 0-14, 15-64, and 65+years, the Generalized Additive Model (GAM) was used to estimate the relative risks of daily asthma hospitalization associated with changes in particulate matter and ozone. The time-trends, seasonal variances, day effects, temperature, humidity, and pressure at sea level were controlled in the models. Significant associations were observed between asthma hospitalization and the levels of $PM_{10}$ and $O_3$. The relative risks (RRs) of asthma hospitalization for every 10 unit increases in $PM_{10}({\mu}g/m^3)$ and $O_3$(ppb) were 1.008 (95% CI 1.005-1.012), and 1.012 (95% CI 1.003-1.020), respectively. Evaluated over $10\;{\mu}g/m^3$ increase in $PM_{10}$, we found the relative risks of asthma hospitalization to be 1.009 (95% CI 1.004-1.014) in 0-14 age group, and 1.015 (95% CI 1.008-1.022) in 65+ age group. Considering 10 ppb increase in $O_3$, those were 1.014 (95% CI 1.003-1.024) in 0-14 age group, and 1.025 (95% CI 1.009-1.041) in 65+ age group. It was concluded that current levels of ambient air pollution in Seoul make a significant contribution to the variation in daily asthma hospitalization. Further reduction in air pollution is necessary to protect the health of the community, especially that of the higher risky groups including children and elderly population.
Keywords
asthma hospitalization$PM_{10}$$O_3$; Generalized Additive Model; age;
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