Estimating the short-term effect of PM2.5 on the mortality of cardiovascular diseases based on instrumental variables

Abstract

Background

PM_2.5 can induce and aggravate the occurrence and development of cardiovascular diseases (CVDs). The objective of our study is to estimate the causal effect of PM_2.5 on mortality rates associated with CVDs using the instrumental variables (IVs) method.

Methods

We extracted daily meteorological, PM_2.5 and CVDs death data from 2016 to 2020 in Binzhou. Subsequently, we employed the general additive model (GAM), two-stage predictor substitution (2SPS), and control function (CFN) to analyze the association between PM_2.5 and daily CVDs mortality.

Results

The 2SPS estimated the association between PM_2.5 and daily CVDs mortality as 1.14% (95% CI: 1.04%, 1.14%) for every 10 µg/m³ increase in PM_2.5. Meanwhile, the CFN estimated this association to be 1.05% (95% CI: 1.02%, 1.10%). The GAM estimated it as 0.85% (95% CI: 0.77%, 1.05%). PM_2.5 also exhibited a statistically significant effect on the mortality rate of patients with ischaemic heart disease, myocardial infarction, or cerebrovascular accidents (P < 0.05). However, no significant association was observed between PM_2.5 and hypertension.

Conclusion

PM_2.5 was significantly associated with daily CVDs deaths (excluding hypertension). The estimates from the IVs method were slightly higher than those from the GAM. Previous studies based on GAM may have underestimated the impact of PM_2.5 on CVDs.