Abstract
Air pollution is a major risk factor of cardiovascular disease (CVD). To date, limited studies have estimated the effects of ambient air pollution on CVD mortality using high-resolution exposure assessment, which might fail to capture the spatial variation in exposure and introduce bias in results. Besides, the three-year action plan (TYAP, 2018–2020) was released; thus, the constitution and health effect of air pollutants may have changed. In this study, we estimated the short-term effect exposed to particulate matters with parameter less than 2.5 µm (PM2.5) and ozone (O3) with 0.05° × 0.05° resolution on CVD mortality and measured the influence of TYAP in the associations. We used random forest models with spatial weight matrices to attain high-resolution pollutant concentrations and conditional Poisson regression to assess the relationship between air pollution and cardiovascular mortality. With an increase of 10 µg/m3 in PM2.5 and O3 during 2018–2021 in the Sichuan Basin (SCB), CVD mortality increased 1.0134 (95% CI 1.0102, 1.0166) and 1.0083 (95% CI 1.0060, 1.0107), respectively, using high-resolution air pollutant concentration, comparing to 1.0070 (95% CI 1.0052, 1.0087) and 1.0057 (95% CI 1.0037, 1.0078) using data from air quality monitoring stations (AQMs). After TYAP, the relative risk (RR) due to PM2.5 rose up to 1.0149 (95% CI 1.0054, 1.0243), and the RR due to O3 rose up to 1.0089 (95% CI 1.0030, 1.0148) in Sichuan Province. We found significantly positive association of cardiovascular mortality and air pollution in Sichuan Province. And using high-resolution exposure would be more accurate to estimate the effect of air pollution on CVD. After TYAP, the cardiovascular mortality risk estimation due to PM2.5 decreased in elderly in SCB, and the risk due to O3 increased in Sichuan Province.
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Data availability
Data will be made available on request.
Abbreviations
- PM2.5 :
-
Particulate matters with diameter less than 2.5 µm
- O3 :
-
Ozone
- AQMs:
-
Air quality monitoring stations
- CVD:
-
Cardiovascular disease
- TYAP:
-
Three-year action plan
- SCB:
-
Sichuan Basin
- DDW:
-
Data-driven weighting
- IDW:
-
Inverse-distance weighting
- RF:
-
Random forest model
- SAR:
-
Spatial autocorrelation
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Funding
This work was supported by the National Natural Science Foundation of China (Grant Nos. 81803332, 81872713, and 82373689) and the Sichuan Science & Technology Program (Grant Nos. 2021YFS0181 and 24NSFJQ0205).
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XT: conceptualization, methodology, software, formal analysis, writing—original draft, writing—review and editing. JZ: formal analysis, data curation, validation, writing—review and editing. XL: formal analysis, writing—review and editing. SL: software, writing—review and editing. TZ: writing—review and editing. YD: writing—review and editing. FY: writing—review and editing. YM: conceptualization, methodology, project administration, funding acquisition, writing—review and editing. XT and JZ contributed equally to this work.
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Highlights
1. We found a significantly positive association between cardiovascular mortality and air pollution in Sichuan Province.
2. Using high-resolution exposure would be more accurate to estimate the effect of air pollution on CVD.
3. After TYAP, the cardiovascular mortality risk estimation due to PM2.5 decreased in elderly in SCB, and the risk estimate due to O3 increased in Sichuan Province.
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Tian, X., Zeng, J., Li, X. et al. Assessing the short-term effects of PM2.5 and O3 on cardiovascular mortality using high-resolution exposure: a time-stratified case cross-over study in Southwestern China. Environ Sci Pollut Res 31, 3775–3785 (2024). https://doi.org/10.1007/s11356-023-31276-z
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DOI: https://doi.org/10.1007/s11356-023-31276-z