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Correlation of PM_2.5 pollution and daily mortality rate of cardiovascular and cerebrovascular diseases in Northeast China through PM_2.5 sources analysis

Qianqi Hong, Yang Zhao, Jing Wang, Hongyan Sun, Lanxin Deng, Jingjing Cao, Cheng Wang

2024, 4(4): 193-201. doi: 10.1515/fzm-2024-0019

Keywords: PM_2.5, cardio-cerebrovascular diseases, daily mortality, time series, PMF

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Objective This study aims to evaluate the relationship between PM_2.5 concentration and daily mortality rate from cardiovascular and cerebrovascular diseases (CCVD) in cold regions of northern China, as well as to identify the primary sources of PM_2.5. Methods A time series analysis model was used to calculate the exposure-response relationship between PM_2.5 and CCVD mortality in Harbin. Positive matrix factorization (PMF) was employed to analyze the sources of PM_2.5. Results After adjusting for multiple pollutant combinations, the maximum excess risk of cardio-cerebrovascular death on the day of PM_2.5 exposure was 0.42% (95% CI: 0.15%-0.70%). Stratification by gender and age revealed that the elderly individuals and men were particularly susceptible to PM_2.5 exposure. The source analysis identified seven major pollution sources contributing to PM_2.5 in Harbin. Conclusion Our findings strengthen the evidence that PM_2.5 is an independent risk factor for daily CCVD mortality, identify vulnerable populations that require special attention, and pinpoint the primary sources of PM_2.5 in Harbin. These findings provide reference points for effectively reducing the health risks associated with PM_2.5 exposure.

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