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Temporal variation in short-term ozone exposure-related circulatory and respiratory mortality risks in the Sichuan Basin, 2014—2022
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Yue OU1, Jian QIAN1, Sheng LI1, Jia-yi CHEN1, Jun-yu WANG1, Jing ZENG2, Xin-yin XU2, Ying DENG2, Fei YIN1, Meng-lu JIANG1
Modern Preventive Medicine | 2026, 53(11) : 1962 - 1968
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Modern Preventive Medicine | 2026, 53(11): 1962-1968
• Environmental and Occupational Health •
Temporal variation in short-term ozone exposure-related circulatory and respiratory mortality risks in the Sichuan Basin, 2014—2022
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Yue OU1, Jian QIAN1, Sheng LI1, Jia-yi CHEN1, Jun-yu WANG1, Jing ZENG2, Xin-yin XU2, Ying DENG2, Fei YIN1, Meng-lu JIANG1
Affiliations
  • West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2026-06-10 doi: 10.20043/j.cnki.MPM.202601448
Outline
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Objective

To evaluate the temporal variations in short-term mortality risks associated with ozone (O3) exposure for circulatory and respiratory diseases in the Sichuan Basin under the Clean Air Action, and to provide evidence for regional air pollution control and public health interventions.

Methods

Mortality data for circulatory and respiratory diseases were obtained from Sichuan Provincial Center for Disease Control and Prevention, and air pollution data (O3, NO2, and PM2.5) were obtained from the China High Air Pollutants dataset. A two-stage analysis was applied to estimate the short-term risks of circulatory, respiratory, and combined circulatory-respiratory mortality associated with O3 exposure during 2014—2022. In the first stage, quasi-Poisson generalized linear models were used to estimate the county-specific associations between O3 and mortality. In the second stage, random-effects meta-analysis was used to pool the estimates. Longitudinal meta-regression with a nonlinear time term was further used to assess temporal variations in risk. Two-pollutant models and subgroup analyses were conducted to examine the effects of co-pollutants and population heterogeneity on these temporal variations.

Results

Short-term mortality risks associated with O3 exhibited significant nonlinear temporal variations across all three mortality outcomes (P<0.001), with an increase during 2014—2016, a decline during 2017—2019, and a subsequent rise after 2020. For combined circulatory-respiratory mortality, the excess risk (ER) associated with each 10 μg/m3 increase in O3 rose from 0.86% (95% CI: 0.52%-1.20%) in 2014 to 1.51% (1.30%-1.72%) in 2016, then decreased to 0.93% (0.75%-1.11%) in 2019, and increased again to 1.58% (1.37%-1.79%) in 2022. This trend remained significant (P<0.01) in two-pollutant models, although the effects during 2016—2018 were attenuated, particularly for respiratory mortality. Subgroup analyses by sex and age showed similar temporal patterns, with overall higher risks in females and individuals aged ≥65 years.

Conclusion

From 2014 to 2022, short-term mortality risks associated with O3 in the Sichuan Basin showed a pattern of increase, decline, and re-increase. The post-2020 rebound suggests that future air quality management should strengthen coordinated control of PM2.5, NO2, and O3, and implement more targeted public health interventions in the context of population aging and climate change.

Ozone  /  Mortality  /  Temporal trend  /  Clean air action
欧悦, 钱渐, 李胜, 陈嘉怡, 王俊予, 曾晶, 胥馨尹, 邓颖, 殷菲, 江梦璐. 2014—2022年四川盆地短期臭氧暴露相关循环与呼吸系统死亡风险的时间变化特征. 现代预防医学, 2026 , 53 (11) : 1962 -1968 . DOI: 10.20043/j.cnki.MPM.202601448
Yue OU, Jian QIAN, Sheng LI, Jia-yi CHEN, Jun-yu WANG, Jing ZENG, Xin-yin XU, Ying DENG, Fei YIN, Meng-lu JIANG. Temporal variation in short-term ozone exposure-related circulatory and respiratory mortality risks in the Sichuan Basin, 2014—2022[J]. Modern Preventive Medicine, 2026 , 53 (11) : 1962 -1968 . DOI: 10.20043/j.cnki.MPM.202601448
Year 2026 volume 53 Issue 11
27
15
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Article Info
doi: 10.20043/j.cnki.MPM.202601448
  • Receive Date:2026-01-28
  • Online Date:2026-11-02
  • Published:2026-06-10
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  • Received:2026-01-28
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    West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数
科
Family
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Number of
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种数
Number of
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Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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