Mortality Risk Associated with Short-Term Exposure to Particulate Matter in China: Estimating Error and Implication

Most previous studies used a specific size of particulate matter (PM x ) for dosimetry estimation when determining particulate matter (PM)-associated risk, which precluded the impact of other sizes of PM. Here, we used a multiple-path particle dosimetry model to determine the deposition of PM in hum...

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Bibliographic Details
Published in:Environmental science & technology 2021-01, Vol.55 (2), p.1110-1121
Main Authors: Wang, Hao, Yin, Peng, Fan, Wenhong, Wang, Ying, Dong, Zhaomin, Deng, Qihong, Zhou, Maigeng
Format: Article
Language:English
Subjects:
Air Pollutants - adverse effects
Air Pollutants - analysis
Air Pollution
China - epidemiology
Cities
Coefficient of variation
Confidence intervals
Dosimeters
Dosimetry
Ecotoxicology and Public Health
Environmental Exposure - adverse effects
Environmental Exposure - analysis
Error analysis
Exposure
Humans
Lung
Mortality
Particle Size
Particle size distribution
Particulate emissions
Particulate matter
Particulate Matter - analysis
Risk
Size distribution
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Summary:Most previous studies used a specific size of particulate matter (PM x ) for dosimetry estimation when determining particulate matter (PM)-associated risk, which precluded the impact of other sizes of PM. Here, we used a multiple-path particle dosimetry model to determine the deposition of PM in human airways and further estimated the associated mortality risk in 205 cities in China. Results showed that the fractions of PM1, PM1–2.5, and coarse PM (PM2.5–10) deposited in the tracheobronchial (TB) and pulmonary airways were estimated in ranges of 11.06–12.83, 19.9–26.37, and 5.35–9.81%, respectively. Each 10 μg/m3 increase in deposited PM was significantly associated with a nationwide increment of 1.12% (95% confidence interval, CI, 0.77–1.49%) for total nonaccidental mortality. Short-term exposure to PM during 2014–2017 resulted in a nationwide mortality of 98 826 cases/year, with contributions from PM1, PM1–2.5, coarse PM of 37.7, 43.1, and 19.2%, respectively. Our study demonstrated that the estimated mortality counts may be associated with the coefficient of variation of dosimetry estimations. In addition, we revealed the caution should be exercised when interpreting PM x -associated risk and further reinforced the importance of size distribution in relevant research.
ISSN:0013-936X
1520-5851
DOI:10.1021/acs.est.0c05095