Particulate matter modifies the magnitude and time course of the non-linear temperature-mortality association
Particulate matter modifies the magnitude and time course of the non-linear temperature-mortality association
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DOI：
10.1016/j.envpol.2014.11.005
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发表时间：
2015-01-01
影响因子：
8.9
通讯作者：
Guo, Yuming
中科院分区：
文献类型：
--
作者：
Li, Li;Yang, Jun;Guo, Yuming
目前尚不确定空气污染是否会改变温度与死亡率之间的关系的大小和时间进程。中国，我们应用一个结合了非线性相互作用项的分布滞后非线性模型来评估空气动力学直径小于或等于10gm的颗粒物对广州平均温度和死亡率之间关系的影响。我们发现，冷效应和热效应都随着PM10的四分位数的增加而增加。老年人更容易受到寒热影响。男性比女性遭受更多与寒冷相关的死亡，性别差异随着PM10的四分之一而扩大。我们发现PM10和平均温度对死亡率有统计学意义的交互作用(呼吸道死亡率除外)。冷热效应在高污染日基本表现为剧烈效应，而在低污染日则表现为滞后效应。研究结果表明，在极端高温的日子里，减少PM10排放的重要性。(C)2014爱思唯尔有限公司。保留所有权利。
It remains uncertain whether air pollution modifies the magnitude and time course of the temperature-mortality association. We applied a distributed lag non-linear model (DLNM) combined with non-linear interaction terms to assess the modifying effects of particulate matter with an aerodynamic diameter of 10 gm or less (PM10) on the association between mean temperature and mortality in Guangzhou, China. We found that both cold and hot effects increased with the quartiles of PM10. The elderly were more vulnerable to cold and hot effects. Men suffered more from cold-related mortality than women, with the gender difference enlarging with the quartiles of PM10. We identified statistically significant interaction effects between PM10 and mean temperature on mortality (except for respiratory mortality). Cold and hot effects basically appeared acutely on highly polluted days, while effects were delayed on lowly polluted days. The findings indicate the importance of reducing PM10 emission on extremely temperature days. (C) 2014 Elsevier Ltd. All rights reserved.