Cited by 79Air Quality and Health ImpactsClimate Change and Health ImpactsIndoor Air Quality and Microbial Exposure

Determining the threshold effect of ozone on daily mortality: an analysis of ozone and mortality in Seoul, Korea, 1995–1999

Kim, Sun-Young, Lee, Jong-Tae, Hong, Yun-Chul, Ahn, Kyu-Jeong, Kim, Ho·2004·Environmental Research

Abstract

Many studies have shown a positive association between ambient ozone levels and mortality. Typically, these findings are based on models that assume a linear relationship between log mortality and ozone level. In this study, we adapted generalized additive models in which ozone effects are presumed to occur in three different ways: as a simple linear term, as a cubic natural spline term, and as a combination of two linear terms (a threshold model). We applied these models to daily time-series data for Seoul, Korea for the years 1995-1999 and found that the threshold model always fits best among the three. A 2.6% (95% CI: 1.7-3.5) increase of estimated relative risk (RR) in the total mortality associated with a 21.5 ppb increase of daily 1-h maximum ozone lagged by 1 day was observed by linear Poisson's regression. However, a 3.4% (95% CI: 2.3-4.4) increase in the estimated RR was observed using the threshold model. Adjustments for other ambient pollutants caused little changes to these results; 2.4-2.5% in the linear models and 3.2-3.4% in the threshold models. In addition, the largest difference in the estimated RRs of the linear and threshold models was observed in the summer: 1.9% (95% CI: 0.5-3.3) by the linear model and 3.8% (95% CI: 2.0-5.7) by the threshold model. These findings indicate that the conventional time-series Poisson regression model, which dose not take threshold into consideration, could underestimate the true risk of the ozone effect on daily mortality.

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Crossref · 10.1016/j.envres.2003.09.006

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  • Kim et al. (2004) found that a spline model indicated a threshold around 20-30 ppb for the daily 1-hr maximum, approximately equal to 8-12 ppb for the 24-hr average, using 5 years of data for Seoul, Korea.

    “Consistent with the results obtained under our spline approach, Kim et al. (2004) found that a spline model indicated a threshold around 20–30 ppb for the daily 1-hr maximum, which is approximately equal to 8–12 ppb for the 24-hr average, using 5 years of data for Seoul, Korea.”

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Authors
Kim, S.-Y., Lee, J.-T., Hong, Y.-C., Ahn, K.-J., & Kim, H.
Affiliations
  • Seoul National University (KR)
  • Ewha Womans University (KR)
  • Inha University (KR)
  • Korea Institute of Science and Technology (KR)
Corresponding author
Kim, Ho
Venue
Environmental Research
Publisher
Elsevier BV
Published
2004-02
Volume
94
Issue
2
Pages
113-119
ISSN
0013-9351 (ISSN-L)
OpenAlex
W2061995361
Cited by
79
References
23
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 5 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 6 · 2014: 6 · 2013: 5 · 2012: 4
FWCI
2.33
Type
journal article
Language
en
Open access
closed
Locations
  • Environmental Research (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
Keywords
ozone, air pollution, daily mortality, threshold effects, relative risk, summer mortality, Poisson regression, generalized additive models, Seoul
MeSH terms
Adolescent, Adult, Aged, Air Pollutants, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Korea, Male, Middle Aged, Models, Theoretical, Mortality, Oxidants, Photochemical, Ozone

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