Volume 21 Issue 5
May  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(5): 857-860
CAI Jun, ZHANG Wenhao, ZHANG Peiyao, ZHAO Ke, JIA Xianjie, MI Jing. A cohort study on the effect of air pollution on the risk of malignant tumor mortality in a district of Bengbu City from 2015 to 2020[J]. Chinese Journal of General Practice, 2023, 21(5): 857-860. doi: 10.16766/j.cnki.issn.1674-4152.003000
Citation: CAI Jun, ZHANG Wenhao, ZHANG Peiyao, ZHAO Ke, JIA Xianjie, MI Jing. A cohort study on the effect of air pollution on the risk of malignant tumor mortality in a district of Bengbu City from 2015 to 2020[J]. Chinese Journal of General Practice, 2023, 21(5): 857-860. doi: 10.16766/j.cnki.issn.1674-4152.003000
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A cohort study on the effect of air pollution on the risk of malignant tumor mortality in a district of Bengbu City from 2015 to 2020

doi: 10.16766/j.cnki.issn.1674-4152.003000

  • Department of Epidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui 233033, China

Funds:

 KJ2021A0710

  • Received Date: 2022-11-05
    Abstract
  •   Objective  To explore the impact of six types of air pollution on the risk of death in patients with malignancies.  Methods  This was a retrospective cohort study using the information on incidence and mortality of malignant tumors in Yuhui District, Bengbu City, from 2015 to 2020. PM2.5, PM10, NO2, CO, SO2, and O3 concentrations were collection of using a high-resolution air pollution dataset from China (CHAP) and analyzed by Spearman' s rank correlation coefficients between the six air pollutants. Using the first tri quantile (Q1 group) of the six air pollutants as the baseline group, risk ratios (HR) and their 95% confidence intervals (95% CI) for six types of air pollution and the risk of death in patients with malignancies were estimated by Cox proportional hazards models.  Results  This study finally included 3 840 cases of malignant tumors in Yuhui District, Bengbu City, from 2015 to 2020, of which 1 443 cases died. Spearman' s correlation showed a negative correlation between O3 and the other pollutants, while the other five had a positive correlation. Cox proportional risk regression model analysis showed that air pollutants other than O3 were positively associated with the risk of death from malignancy at high concentrations, with PM2.5 having the most significant HR (4.553, 95% CI: 3.853-5.381). O3 was negatively associated with the risk of death from malignancy.  Conclusion  Air pollution can influence carcinogenic processes and significantly impact the risk of death in patients with diagnosed malignancies. Since environmental factors are not usually used as survival healing factors after diagnosis, this study provides important public health implications.

     

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