Interactive effects of fine particulate matter and temperature on residents mortality in Pudong, Shanghai / 上海预防医学

ABSTRACT

Objective To evaluate the interactive effects of fine particulate matter and temperature on non-accidental mortality of residents in Pudong, Shanghai. Methods Daily mortality, air pollutants and meteorological data from Jan 1st.2016 to Dec 31st.2017 were collected.Generalized additive Poisson regression models was used to estimate the effects of PM2.5 pollution on daily mortality, bivariate response surface models and temperature stratified models were applied to examine the interaction of temperature with PM2.5 on mortality. Results A total of 43 345 non-accidental deaths were included, daily mean PM2.5 concentration was 39.1 μg/m3, daily mean temperature was 17.7 ℃.A 10 μg/m3 increase in the daily PM2.5 at lag 1 day was associated with a 0.56%(95%CI:0.11%-1.01%), 0.49%(95%CI:-0.19%-1.18%) and 0.22%(95%CI:-1.14%-1.60%) increase in non-accidental, cardiovascular and respiratory mortality, respectively.Higher risks were identified for males and the older (≥65 years).The effect estimates per 10 μg/m3 increase in PM2.5 in medium temperature level were 0.59%(95%CI:0.04%-1.14%)for non-accidental, 0.51%(95%CI:-0.32%-1.35%)for cardiovascular and 0.51%(95%CI:-0.32%-1.35%) for respiratory mortalities.The PM2.5 effects were approximately 2-4 times higher in higher temperature level for non-accidental and cardiovascular mortalities compared with other temperature levels; for respiratory mortality, the PM2.5 effects was approximately 2-fold higher in lower temperature levels than the medium, although the interactions between temperature and PM2.5 were statistically insignificant. Conclusions Temperature may modify the effects of PM2.5 on mortality in Pudong, Shanghai and the interactive pattern may be different across disease-specific mortalities.