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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