Li Yi, Ma Zhiqiang, Zheng Canjun, Shang Yu
CMA Key Laboratory for Atmospheric Chemistry, Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, Beijing, China.
Institute of Urban Meteorology, China Meteorological Administration, Beijing, China.
Int J Biometeorol. 2015 Dec;59(12):1761-70. doi: 10.1007/s00484-015-0984-z. Epub 2015 Apr 23.
Studies have shown that temperature could modify the effect of ambient fine particles on mortality risk. In assessing air pollution effects, temperature is usually considered as a confounder. However, ambient temperature can alter people's physiological response to air pollution and might "modify" the impact of air pollution on health outcomes. This study investigated the interaction between daily PM2.5 and daily mean temperature in Beijing, China, using data for the period 2005-2009. Bivariate PM2.5-temperature response surfaces and temperature-stratified generalized additive model (GAM) were applied to study the effect of PM2.5 on cardiovascular, respiratory mortality, and total non-accidental mortality across different temperature levels. We found that low temperature could significantly enhance the effect of PM2.5 on cardiovascular mortality. For an increase of 10 μg/m(3) in PM2.5 concentration in the lowest temperature range (-9.7∼2.6 °C), the relative risk (RR) of cardiovascular mortality increased 1.27 % (95 % CI 0.38∼2.17 %), which was higher than that of the whole temperature range (0.59 %, 95 % CI 0.22-1.16 %). The largest effect of PM2.5 on respiratory mortality appeared in the high temperature range. For an increase of 10 μg/m(3) in PM2.5 concentration, RR of respiratory mortality increased 1.70 % (95 % CI 0.92∼3.33 %) in the highest level (23.50∼31.80 °C). For the total non-accidental mortality, significant associations appeared only in low temperature levels (-9.7∼2.6 °C): for an increase of 10 μg/m(3) in current day PM2.5 concentration, RR increased 1.27 % (95 % CI 0.46∼2.00 %) in the lowest temperature level. No lag effect was observed. The results suggest that in air pollution mortality time series studies, the possibility of an interaction between air pollution and temperature should be considered.
研究表明,温度可能会改变环境细颗粒物对死亡风险的影响。在评估空气污染影响时,温度通常被视为一个混杂因素。然而,环境温度会改变人们对空气污染的生理反应,并且可能“改变”空气污染对健康结果的影响。本研究利用2005 - 2009年期间的数据,调查了中国北京每日PM2.5与日平均温度之间的相互作用。采用双变量PM2.5 - 温度响应面和温度分层广义相加模型(GAM)来研究不同温度水平下PM2.5对心血管、呼吸系统死亡率以及全因非意外死亡率的影响。我们发现,低温会显著增强PM2.5对心血管死亡率的影响。在最低温度范围(-9.7∼2.6°C)内,PM2.5浓度每增加10μg/m³,心血管死亡率的相对风险(RR)增加1.27%(95%置信区间0.38∼2.17%),高于整个温度范围(0.59%,95%置信区间0.22 - 1.16%)。PM2.5对呼吸系统死亡率的最大影响出现在高温范围内。在最高温度水平(23.50∼31.80°C),PM2.5浓度每增加10μg/m³,呼吸系统死亡率的RR增加1.70%(95%置信区间0.92∼3.33%)。对于全因非意外死亡率,仅在低温水平(-9.7∼2.6°C)出现显著关联:在最低温度水平,当日PM2.5浓度每增加10μg/m³,RR增加1.27%(95%置信区间0.46∼2.00%)。未观察到滞后效应。结果表明,在空气污染死亡率时间序列研究中,应考虑空气污染与温度之间相互作用的可能性。