Lagged Influence of Fine Particulate Matter and Geographic Disparities on Clinic Visits for Children’s Asthma in Taiwan

Lung-Chang Chien, Yu-An Chen and Hwa-Lung Yu
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Lung-Chang Chien: Epidemiology and Biostatistics, Department of Environmental and Occupational Health, University of Nevada, Las Vegas, NV 89154, USA
Yu-An Chen: Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 10617, Taiwan
Hwa-Lung Yu: Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 10617, Taiwan

IJERPH, 2018, vol. 15, issue 4, 1-14

Abstract: Recent studies have revealed the influence of fine particulate matter (PM 2.5 ) on increased medication use, hospital admission, and emergency room visits for asthma attack in children, but the lagged influence of PM 2.5 on children’s asthma and geographic disparities of children’s asthma have rarely been discussed simultaneously. This study investigated the documented diagnosis of children’s asthma in clinic visits for children aged less than 15 years old that were associated with PM 2.5 in two counties located in west-central Taiwan during 2005–2010. The result shows that PM 2.5 had a significant lagged effect on children’s asthma for up to 6 days. A significantly higher relative risk for children’s asthma was more likely to happen at 2-day lag compared to the present day when PM 2.5 increased from 36.17 μg/m 3 to 81.26 μg/m 3 . Considering all lagged effects, the highest relative risk for children’s asthma was 1.08 (95% CI = 1.05, 1.11) as PM 2.5 increased as high as 64.66 μg/m 3 . In addition, geographic disparities of children’s asthma were significant, and 47.83% of areas were identified to have children vulnerable to asthma. To sum up, our findings can serve as a valuable reference for the implementation of an early warning to governmental agencies about a susceptible population of children.

Keywords: PM 2.5; children’s asthma clinic visits; nonlinear lagged effects; spatial variation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
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