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• W4328129303 abstract "Background Although the association between short-term air pollution exposure and certain hospitalizations has been well documented, evidence on the effect of longer-term (e. g., monthly) air pollution on a comprehensive set of outcomes is still limited. Method A total of 68,416 people in South China were enrolled and followed up during 2019–2020. Monthly air pollution level was estimated using a validated ordinary Kriging method and assigned to individuals. Time-dependent Cox models were developed to estimate the relationship between monthly PM 10 and O 3 exposures and the all-cause and cause-specific hospitalizations after adjusting for confounders. The interaction between air pollution and individual factors was also investigated. Results Overall, each 10 μg/m 3 increase in PM 10 concentration was associated with a 3.1% (95% CI : 1.3%−4.9%) increment in the risk of all-cause hospitalization. The estimate was even greater following O 3 exposure (6.8%, 5.5%−8.2%). Furthermore, each 10 μg/m 3 increase in PM 10 was associated with a 2.3%-9.1% elevation in all the cause-specific hospitalizations except for those related to respiratory and digestive diseases. The same increment in O 3 was relevant to a 4.7%−22.8% elevation in the risk except for respiratory diseases. Additionally, the older individuals tended to be more vulnerable to PM 10 exposure ( P interaction : 0.002), while the alcohol abused and those with an abnormal BMI were more vulnerable to the impact of O 3 ( P interaction : 0.052 and 0.011). However, the heavy smokers were less vulnerable to O 3 exposure ( P interaction : 0.032). Conclusion We provide comprehensive evidence on the hospitalization hazard of monthly PM 10 and O 3 exposure and their interaction with individual factors." @default.
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• W4328129303 date "2023-03-21" @default.
• W4328129303 modified "2023-10-16" @default.
• W4328129303 title "The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area" @default.
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• W4328129303 doi "https://doi.org/10.3389/fpubh.2023.1137196" @default.
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