Ambient air pollution had been shown strongly associated with cardiovascular diseases. However, the association between air pollution and myocardial infarction (MI) is inconsistent. In the present study, we conducted a time-series study to investigate the association between air pollution and MI. Daily air pollutants, weather data, and MI data were collected from January 2015 to December 2016 in Changzhou, China. Generalized linear model (GLM) was used to assess the immediate effects of air pollutants (PM2.5, PM10, NO2, SO2, and O3) on MI. We identified a total of 5545 cases for MI, and a 10-μg/m3 increment in concentrations of PM2.5 and PM10 was associated with respective increases of 1.636% (95% confidence interval [CI] 0.537-2.740%) and 0.805% (95% CI 0.037-1.574%) for daily MI with 2-day cumulative effects. The associations were more robust among males and in the warm season versus the cold one. No significant effect was found in SO2, NO2, or O3. This study suggested that short-term exposure to PM2.5 and PM10 was associated with the increased MI risks. Our results might be useful for the primary prevention of MI exacerbated by air pollutants.
Keywords: Air pollution; Generalized linear model; Myocardial infarction; PM10; PM2.5; Time-series study.