Background

Atrial fibrillation (AF) is the most common type of treated heart arrhythmia contributing to adverse cardiovascular events. The association between short-term air pollution exposure and AF episodes has been recognized. But the evidence of the association between long-term air pollution exposure and AF was limited, especially in developing countries.

Methods

We performed a nationwide cross-sectional study among 1,374,423 individuals aged ≥35 years from 13 health check-up centers. Using logistic regression models, we assessed the association between long-term exposure to single air pollution and AF prevalence, including particulate matter (PM_2.5 and PM₁₀), ozone (O₃) and PM_2.5 compositions, which were estimated by high-resolution and high-quality spatiotemporal datasets of ground-level air pollutants for China. The quantile g-computation model was used to explore the joint effect of all exposures to air pollution and the contribution of an individual component to the mixture.

Results

In single-pollutant models, an increase of 10 μg/m³ in PM_2.5 (OR 1.031[95%CI 1.010,1.053]) and PM₁₀ (OR = 1.021 [95%CI 1.009,1.033]) was positively associated with AF prevalence. The stratified analyses revealed that these associations were significantly stronger in females, people <65 years old, and those with hypertension and diabetes. In the further exploration of the joint effect of PM_2.5 compositions (OR 1.060 [95%CI 1.022,1.101]) per quintile increase in all five PM_2.5 components), we found that PM_2.5 sulfate contributed the most.

Conclusions

These findings provide important evidence for the positive relationship between long-term exposure to air pollution and AF prevalence in China and identify sulfate particles of PM_2.5 as having the highest contribution to the overall mixture effects among all PM2.5 chemical constituents.