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

Bibliographic Data

ID15470640
AuthorsSoon‐Won Jung (National Institute of Environmental Research), Soon-Won Jung (Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea), Kyoungho Lee (0000-0003-2353-2547, Samsung (South Korea), corresponding author), Yong-Sung Cho (0000-0001-9818-8731, National Institute of Chemical Safety), Jihee Choi (0000-0001-9452-7783, Soonchunhyang University), Ji-Hee Choi (Soonchunhyang University), Wonho Yang (0000-0003-2776-5989, Daegu Catholic University), Tack-Shin Kang (National Institute of Environmental Research), Choong-Hee Park (0000-0003-2408-8433, National Institute of Environmental Research), Choonghee Park (Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea), Geun‐Bae Kim (0000-0001-8531-1104, National Institute of Environmental Research), Geun-Bae Kim (Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea), Seung‐Do Yu (National Institute of Environmental Research), Seung-Do Yu (Environmental Health Research Division, National Institute of Environment Research, 42, Hwangyeong-ro, Incheon 22689, Korea), Bu-Soon Son (Soonchunhyang University), Bu‐Soon Son (Soonchunhyang University, corresponding author)
Year2016
Volume13
Issue7
Pages728-728
Publication date2016-07-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph13070728
PMID27447653
OpenAlexW2482173034
LanguageEN
Citations received2
References cited38

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 (O3) concentrations can give rise to adverse effects on respiratory symptoms and lung function, we investigated the association between O3 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 O3 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 O3 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 O3 levels and FVC and FEV1 for most of the lag and methods in children. The largest effect of O3 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

Association (psychology · Biology · Cartography · Environmental health · Function (biology · Geography · Interpolation (computer graphics · Lung · Lung function · Meteorology · Ozone · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Climate Change and Health Impacts · Computer Science · Medicine · Psychology · Artificial Intelligence · Internal Medicine

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