Association by Spatial Interpolation between Ozone Levels and Lung Function of Residents at an Industrial Complex in South Korea

Soon-Won Jung, Kyoungho Lee, Yong-Sung Cho, Ji-Hee Choi, Wonho Yang, Tack-Shin Kang, Choonghee Park, Geun-Bae Kim, Seung-Do Yu and Bu-Soon Son
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Soon-Won Jung: Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea
Kyoungho Lee: Occupational Epidemiology, Samsung Health Research Institute, Samsung Electronics, Giheung City 17113, Korea
Yong-Sung Cho: Research Development and Education Division, National Institute of Chemical Safety, 90, Gajeonbuk-ro, Daejeon 34111, Korea
Ji-Hee Choi: Department of Environmental Health Science, Soonchunhyang University, 22, Soonchunhyang-ro, Asan-si 336-745, Korea
Wonho Yang: Department of Occupational Health, Catholic University of Daegu, 13-13, Hayang-ro, Daegu 38430, Korea
Tack-Shin Kang: Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea
Choonghee Park: Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea
Geun-Bae Kim: Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea
Seung-Do Yu: Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea
Bu-Soon Son: Department of Environmental Health Science, Soonchunhyang University, 22, Soonchunhyang-ro, Asan-si 336-745, Korea

IJERPH, 2016, vol. 13, issue 7, 1-15

Abstract: Spatial interpolation is employed to improve exposure estimates and to assess adverse health effects associated with environmental risk factors. Since various studies have reported that high ozone (O 3 ) concentrations can give rise to adverse effects on respiratory symptoms and lung function, we investigated the association between O 3 levels and lung function using a variety of spatial interpolation techniques and evaluated how different methods for estimating exposure may influence health results for a cohort from an industrial complex (Gwangyang Bay) in South Korea in 2009. To estimate daily concentrations of O 3 in each subject, four different methods were used, which include simple averaging, nearest neighbor, inverse distance weighting, and kriging. Also, to compare the association between O 3 levels and lung function by age-groups, we explored ozone’s impacts on three age-related groups: children (9–14 years), adults (15–64 years), and the elderly (≥65 years). The overall change of effect size on lung function in each age group tended to show similar patterns for lag and methods for estimating exposure. A significant negative association was only observed between O 3 levels and FVC and FEV 1 for most of the lag and methods in children. The largest effect of O 3 levels was found at the average for the lung function test day and last 2 days (0–2 days). In conclusions, the spatial interpolation methods may benefit in providing individual-level exposure with appropriate temporal resolution from ambient monitors. However, time-activity patterns of residents, monitoring site locations, methodological choices, and other factors should be considered to minimize exposure misclassification.

Keywords: spatial interpolation; ozone; lung function; kriging (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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