Trends in the effects of ambient PM 2.5 concentration on mortality risk in Hong Kong, China

Abstract

Abstract Background Associations between levels of various types of airborne particulate matter such as ambient PM2.5 and short-term mortality risk have been studied extensively. A metric called daily exceedance concentration hours (DECH) has been proved useful with respect to better modeling and understanding of acute mortality risk associated with pollution in southern Chinese cities. Notably however, it is unclear whether the strength of the association is timedependent. The current study investigated this using a comprehensive dataset acquired in Hong Kong spanning from 1999 to 2019. The methodology and modeling employed were similar to those used in prior studies. Methods Generalized additive models with quasi-Poisson distribution links were fitted to varying periods of an overall time series. These models were then examined to identify changes in implied effects on mortality risk over time. Results The replicated methodology of prior studies resulted in fairly consistent, but much reduced relative effects of DECH levels on mortality risk across the disease groups. The model remained significant with the inclusion of newer datasets. When applying the model to sliding time-windows of data, the effective risk of mortality remained relatively constant despite significantly changing levels of pollutants, especially with regard to mortality risk among cardiovascular diseases. Modelling other cause groups using DECH metrics yielded similar results to those acquired using other air pollution variables. Conclusion The results of the study support the use of DECH as a mortality risk factor, particularly with respect to cardiovascular diseases, and the size of the association is fairly consistent.