Ozone and daily mortality in Shanghai, China
Open accessAbstract
Abstract Background Controversy remains regarding the relationship between ambient ozone and mortality worldwide. In mainland China, the largest developing country, there has been no prior study investigating the acute effect of O3 on death risk. Given the changes in types of air pollution from conventional coal combustion to the mixed coal combustion/motor vehicle emissions in China’s large cities, it is worthwhile to investigate the acute effect of O3 on mortality outcomes in the country. Objectives We conducted a time-series study to investigate the relation between O3 and daily mortality in Shanghai using 4 years of daily data (2001–2004). Methods We used the generalized additive model with penalized splines to analyze mortality, O3 pollution, and covariate data in warm and cold seasons. We considered daily counts of all-cause mortality and several cause-specific subcategories (respiratory and cardiovascular). We also examined these associations among several subpopulations based on age and sex. Results O3 was significantly associated with total and cardiovascular mortality in the cold season but not in the warm season. In the whole-year analysis, an increase of 10 μg/m3 of 2-day average (lag01) O3 corresponds to 0.45% [95% confidence interval (CI), 0.16–0.73%], 0.53% (95% CI, 0.10–0.96%), and 0.35% (95% CI, −0.40 to 1.09%) increase of total nonaccidental, cardiovascular, and respiratory mortality, respectively. In the cold season, the estimates increased to 1.38% (95% CI, 0.68–2.07%), 1.53% (95% CI, 0.54–2.52%), and 0.95% (95% CI, −0.71 to 2.60%), respectively. In the warm season, we did not observe significant associations for both total and cause-specific mortality. The results were generally insensitive to model specifications such as lag structure of O3 concentrations and degree of freedom for time trend. Multipollutant models indicate that the effect of O3 was not confounded by particulate matter ≤ 10 μm in diameter (PM10) or by sulfur dioxide; however, after adding nitrogen dioxide into the model, the association of O3 with total and cardiovascular mortality became statistically insignificant. Conclusions O3 pollution has stronger health effects in the cold than in the warm season in Shanghai. Our analyses also strengthen the rationale for further limiting levels of O3 pollution in outdoor air in the city.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
SO2 and NO2 were not adjusted for because PM was highly correlated with SO2 and NO2 in Shanghai and simultaneously entering SO2 (or NO2) into the models can yield unstable parameter estimates when the pollutants involved suffer high inter-correlation.
“We did not adjust for sulfur dioxide (SO2) and nitrogen dioxide (NO2) in our regression models because PM was highly correlated with SO2 and NO2 in Shanghai (Zhang et al. 2006) and simultaneously entering SO2 (or NO2) into the models can yield unstable parameter estimates when the pollutants involved suffer high inter-correlation (Roberts 2006).”
From Differentiating the effects of fine and coarse particles on daily mortality in Shanghai, China (2007) · cites this paper as Zhang et al. 2006
O3 was controlled in the regression models because a previous study showed that O3 had an independent effect on daily mortality in Shanghai and the correlation between PM and O3 was low.
“To examine the independent effects of PM2.5 and PM10-2.5, O3 was also controlled in the regression models because our previous study showed that O3 had independent effect on daily mortality in Shanghai and the correlation between PM and O3 was low (Zhang et al. 2006).”
From Differentiating the effects of fine and coarse particles on daily mortality in Shanghai, China (2007) · cites this paper as Zhang et al. 2006
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 52 · Cited by 163
Research works printed but not linked: 2
- [19]19. Health Effects Institute 2004. Health Effects of Outdoor Air Pollution in Developing Countries of Asia: A Literature Review. Boston:Health Effects Institute.
- [47]47. Xu Z. Effect evaluation on smoking control plan for one year in Shanghai-China/WHO smoking control capability construction cooperation items [in Chinese] Chin J Health Educ. 2005;21:412–416.
- Authors
- Zhang, Y., Huang, W., London, S. J., Song, G., Chen, G., Jiang, L., Zhao, N., Chen, B., & Kan, H.
- Affiliations
- Fudan University (CN)
- Health Effects Institute (US)
- National Institute of Environmental Health Sciences (US)
- Shanghai Municipal Center For Disease Control Prevention (CN)
- Shanghai Environmental Monitoring Center, Shanghai, China
- National Institutes of Health (US)
- Corresponding author
- Kan, Haidong
- Venue
- Environmental Health Perspectives
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-05-18
- Volume
- 114
- Issue
- 8
- Pages
- 1227-1232
- ISSN
- 0091-6765 (ISSN-L)
- 1552-9924
- OpenAlex
- W1971321326
- Cited by
- 163
- References
- 52
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 5 · 2023: 7 · 2022: 17 · 2021: 3 · 2020: 8 · 2019: 11 · 2018: 16 · 2017: 5 · 2016: 7 · 2015: 6 · 2014: 8 · 2013: 12 · 2012: 6
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/licenses/by/4.0/ (vor, 4243 d)
- Locations
- Environmental Health Perspectives (publishedVersion, public-domain)
- Europe PMC (PubMed Central) (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- 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, ambient ozone, daily mortality, cardiovascular mortality, respiratory mortality, all-cause mortality, cold season, warm season, seasonal variation, particulate matter, sulfur dioxide, Shanghai
- MeSH terms
- Adolescent, Adult, Aged, Air Pollution, Cardiovascular Diseases, Cause of Death, Child, Child, Preschool, China, Data Interpretation, Statistical, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Mortality, Oxidants, Photochemical, Ozone, International Classification of Diseases
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 ›
Are you an author, or do you see a problem with this page? Request a review