Acute effect of multiple ozone metrics on mortality by season in 34 Chinese counties in 2013–2015
Open accessAbstract
BACKGROUND: Although numerous multicentre studies have estimated the association between ozone exposure and mortality, there are currently no nationally representative multicentre studies of the ozone-mortality relationship in China. OBJECTIVE: To investigate the effect on total (nonaccidental) and cause-specific mortality of short-term exposure to ambient ozone, and examine different exposure metrics. METHODS: The effects of short-term exposure to ozone were analysed using various metrics (daily 1-h maximum, daily 8-h maximum and daily average) on total (nonaccidental) and cause-specific (circulatory and respiratory) mortality from 2013 to 2015 in 34 counties in 10 cities across China. We used distributed lag nonlinear models for estimating county-specific relative risk of mortality and combined the county-specific relative rates by conducting a random-effects meta-analysis. RESULTS: increase in daily average, daily 1-h maximum and daily 8-h maximum ozone at lag02 corresponded to an increase of 0.6% (95% CI: 0.33, 0.88), 0.26% (95% CI: 0.12, 0.39) and 0.37% (95% CI: 0.2, 0.55) in total (nonaccidental) mortality, 0.66% (95% CI: 0.28, 1.04), 0.31% (95% CI: 0.11, 0.51) and 0.39% (95% CI: 0.16, 0.62) in circulatory mortality, and 0.57% (95% CI: -0.09, 1.23), 0.11% (95% CI: -0.22, 0.44) and 0.22% (95% CI: -0.28, 0.72) in respiratory mortality, respectively. These estimates had a different seasonal pattern by cause of death. In general, the seasonal patterns were consistent with the times of year when ozone concentrations are highest. CONCLUSIONS: Our findings suggest that in China, the acute effects of ozone are more closely related to daily average exposure than any other metric.
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In addressing exposure to low-level concentrations, 24-h average may be another relevant measure of daily exposure, at least for certain outcomes.
“In addressing exposure to low-level concentrations (such as concentrations below the current air quality standard), however, 24-h average may be another relevant measure of daily exposure, at least for certain outcomes (21–24).”
From Ozone pollution: A Major health hazard worldwide (2019) · cites this paper as [24]
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- Authors
- Sun, Q., Wang, W., Chen, C., Ban, J., Xu, D., Zhu, P., He, M. Z., & Li, T.
- Affiliations
- Chinese Center For Disease Control and Prevention (CN)
- Columbia University (US)
- Corresponding author
- Li, T.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2018-01-18
- Volume
- 283
- Issue
- 5
- Pages
- 481-488
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- PMC
- PMC6764438
- OpenAlex
- W2772182526
- Cited by
- 57
- References
- 35
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 4 · 2023: 7 · 2022: 11 · 2021: 4 · 2020: 8 · 2019: 9
- FWCI
- 2.50
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- Natural Science Foundation of Beijing Municipality (7172145)
- National Natural Science Foundation of China (21277135, 91543111)
- National Institute of Environmental Health Sciences
- National Institutes of Health (ES023770)
- 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 exposure, short-term air pollution effects, mortality, circulatory disease mortality, respiratory mortality, seasonal variation, cause-specific mortality, China
- MeSH terms
- Air Pollution, Cause of Death, China, Environmental Exposure, Humans, Mortality, Ozone, Seasons, Particulate Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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