Abstract

ISEE-0920 Objective: To analyze the interactions between particulate matter (TSP and PM10) and temperature on daily non-accidental deaths in Beijing, China. Methods: The data of death was from the Beijing Center for Disease Control and Prevention (CDC). The data of weather was provided from Institute of Urban Meteorology, CMA, Beijing. The data of air quality was from the daily report of air quality in Beijing. Poisson semi-parametric generalized additive models (GAM) was used to examine whether there is interactive effects of particulate matter and temperature on daily non-accidental deaths for the period from Jan. 1, 1998 to Jun. 30, 2000 in Beijing, China. This was done through the use of joint particulate-temperature response curve and by stratifying the effect of particulate matter on daily non-accidental deaths by temperature. Results: Result shows that temperature modifies the association between particulate matter and daily non-accidental death. A 10 μg/m3 increase in TSP was associated with an increase of 0.177% (95% CI: 0.082%–0.272%), 0.052% (95% CI: 0.014%–0.071% ) and 0.311% (95% CI: 0.438%–0.738%) in mortality at low moderate and high temperature which are stratified by the temperature of 5 percentile and 95 percentile; A 10 μg/m3 increase in PM10 was associated with an increase of 0.090% (95% CI: −0.026%, 0.288%), 0.185% (95% CI: 0.111%–0.225%) and 0.568% (95% CI: 0.517%–0.824%) in mortality at low, moderate and high temperature. Choosing different cut-points to investigate the sensitivity of the effect of particulate matter on daily non-accidental death finds that the increases in daily non-accidental deaths in high temperatures are larger than in moderate temperature per 10 μg/m3 increase of TSP and PM10, and that most of the increases in mortality in low temperature are larger than in moderate temperature. Conclusion: the result of this study suggests that it is important to evaluation the interactive effects of particulate and high temperature on daily non-accidental death.

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