Short-term association of PM2.5/PM10 on lung cancer mortality in Wuhai city, China (2015-2019): a time series analysis

Objective The objective of this study was to evaluate the relationship between short-term fine particulate matter (PM2.5)/inhalable particulate matter (PM10) exposure and lung cancer mortality. Method From 2015 to 2019, data concerning air pollution, meteorology, and deaths were obtained in Wuhai, China. The association between PM2.5/PM10 and lung cancer mortality was investigated using time series analysis. Result According to the single-pollutant model, a 10 mu g/m(3) increase in PM2.5/PM10 was associated with an excess risk of 7.95% (95% CI, 2.22-13.95%), and 2.44% (95% CI, 0.32-4.62%), respectively (P < 0.05). PM2.5/PM10 had a stronger impact on men and the elderly (>65 years old). Particulate matter had a larger influence on lung cancer mortality during the warm season than the cold season. Furthermore, except for PM2.5 and PM10, the two-pollution model indicated that the other models were statistically significant. The study's single and dual pollutant models were both relatively robust. Conclusion Short-term exposure to PM2.5/PM10 was correlated with a higher risk of lung cancer death in Wuhai, particularly among men and the elderly (>65 years old). Exposure to PM2.5/PM10 really does have a bigger effect on the population during the warm season. Moreover, it is essential that health administration departments should strengthen their regulatory mechanisms for particulate emissions and take the responsibility for safeguarding the vulnerable populations. (C) 2022 Wolters Kluwer Health, Inc. All rights reserved.