A Time Series Study for Effects of PM 10 on Coronary Heart Disease in Ganzhou, China

Objective: To investigate the effect of PM 10 exposure in low concentration areas on the daily hospitalized patients with coronary heart disease. Methods: Daily air quality monitoring data, meteorological monitoring data and daily hospitalization data of coronary heart disease during 2019–2021 in Ganzhou, China were collected. Generalized additive model and distributed lag nonlinear model were used to evaluate the association between environmental PM 10 and daily hospital visits for coronary heart disease. Stratified by sex and age to see their potential impact on this association. Results: PM 10 exposure was correlated with an increased risk of hospitalization in coronary heart disease patients. Single-pollutant model analysis shows that at the day of lag1, for every 10 µg/m 3 increase in PM 10 , the risk of coronary heart disease hospitalization increased by 1.69% (95%CI 0.39~3.00%); Subgroup analysis showed that females and older adults (>65 years) were more sensitive to PM 10 exposure. In addition, in the dual-pollutant model, by adjusting other pollutants (including SO 2 , CO and O 3 ), it was found that the relationship between PM 10 exposure and coronary heart disease hospitalization was robust. And with changing the model’s degree of freedom was still robust. Conclusion: Short-term exposure to low concentrations of PM 10 is associated with hospitalization for coronary heart disease. These results are important for local environmental public health policy development, so as to protect vulnerable populations.