Using rush hour and daytime exposure indicators to estimate the short-term mortality effects of air pollution: A case study in the Sichuan Basin, China.

摘要: Abstract Background Daily mean concentrations of air pollutants have been widely used as exposure indicators to estimate the short-term mortality effects outdoor pollution. However, daily might insufficiently represent true level because diurnal variations and various human activity patterns. Daytime or rush-hour may lead better estimations. Objective Our study aimed imitate under assumptions about patterns examine pollution during a) morning-evening rush hours (ME), b) morning-lunch-evening (MLE), c) whole daytime (WDT) in Chengdu, Sichuan Basin, China. Methods We investigated PM2.5, SO2, O3 examined associations between three nonaccidental mortality, cardiovascular respiratory using generalized additive model. Three novel (ME, MLE, WDT) were employed most probable levels. Relative change excess risk (ER) was compare estimated from models with different indicators. Results In relationship PM2.5 ERs novel-indicator decreased by 4.88%–11.89% comparison daily-indicator models. All SO2 offered lower than indicator did. Significant observed O3-nonaccidental at lag0 both winter spring, O3-cardiovascular winter. Overall, majority effect estimates based on concentrations. Conclusion The use bias assessment thus inflating estimates. This highlights importance provides alternative for estimating acute