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CN 34-1304/RISSN 1674-3679

Volume 27 Issue 5
May  2023
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Article Contents
CHU Yifan, SHI Hengyuan, LIU Chao, LIU Chengrong, DONG Yilin, ZHANG Peiyao, JIA Xianjie, WU Xuesen, GAO Huaiquan. Effects of atmospheric particulate matter on the prevalence of cardiovascular diseases in adult residents and effect modification of vegetation coverage[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(5): 528-533. doi: 10.16462/j.cnki.zhjbkz.2023.05.006
Citation: CHU Yifan, SHI Hengyuan, LIU Chao, LIU Chengrong, DONG Yilin, ZHANG Peiyao, JIA Xianjie, WU Xuesen, GAO Huaiquan. Effects of atmospheric particulate matter on the prevalence of cardiovascular diseases in adult residents and effect modification of vegetation coverage[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(5): 528-533. doi: 10.16462/j.cnki.zhjbkz.2023.05.006

Effects of atmospheric particulate matter on the prevalence of cardiovascular diseases in adult residents and effect modification of vegetation coverage

doi: 10.16462/j.cnki.zhjbkz.2023.05.006
Funds:

Innovation Team Project of Bengbu Medical College BYK201901

Bengbu Medical College "512 Talent Cultivation Program" BY51201202

More Information
  • Corresponding author: GAO Huaiquan, E-mail: 935677399@qq.com
  • Received Date: 2022-11-24
  • Rev Recd Date: 2023-01-28
  • Publish Date: 2023-05-10
  •   Objective   To evaluate the effects of atmospheric particulate matter on the prevalence of cardiovascular diseases in adult residents and effect modification of vegetation coverage.  Methods  A total of 4 000 adult residents were selected in Bengbu City in 2015. The basic information was obtained through a questionnaire survey and residents' physical examination. The concentration of atmospheric particulate matter (PM) in the 1 km buffer zone where the participants' homes were located was obtained through satellite retrieval technology. Logistic regression was used to analyze the association between PM and CVD. Stratified analyzes were performed to explore the potential confounding effect of age, sex, BMI, and the vegetation cover rate.  Results  Among the 3 190 subjects included, 1 080 were CVD patients. There were statistical differences in the prevalence of CVD among submicrometer particles (PM1), fine particulate matter (PM2.5), and inhalable particles (PM10) groups (all P < 0.05). There were statistically differences in the prevalence of CVD among normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), soil adjusted vegetation index (SAVI) (all P < 0.05). Logistic regression showed that after adjusting covariates, the risk of the PM2.5-high concentration group was 1.352 times that of the low concentration group (OR=1.352, 95% CI: 1.078-1.696). There was no statistically significant difference between the adjusted models of PM1 and PM10 (all P > 0.05). Stratified analysis showed that the interaction between PM2.5 and vegetation coverage was statistically significant (all P < 0.05). And the association between PM2.5 and the risk of cardiovascular disease was stronger when the vegetation coverage was at a lower level compared to higher level.  Conclusions  The more serious the atmospheric PM pollution, the higher the risk of CVD could be. Vegetation cover may moderate the association between PM pollution and CVD.
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