Goldberg M S, Burnett R T, Bailar J C, Brook J, Bonvalot Y, Tamblyn R, Singh R, Valois M F, Vincent R
Department of Medicine, Royal Victoria Hospital, Montreal, Quebec, H3A 1A2, Canada.
Environ Res. 2001 May;86(1):26-36. doi: 10.1006/enrs.2001.4243.
This study was undertaken to determine whether variations in concentrations of particulates in the ambient air of Montreal, Quebec, during the period 1984 to 1993, were associated with daily variations in cause-specific daily mortality. Fixed-site air pollution monitors in Montreal provided daily mean levels of various measures of particles and gaseous pollutants. Total sulfate was also measured daily (1986-1993) at a monitoring station 150 km southeast of the city (Sutton, Quebec). We used coefficient of haze (COH), extinction coefficient, and sulfate from the Sutton station to predict fine particles and sulfate from fine particles for days that were missing. We estimated associations between cause-specific mortality and PM(2.5), PM(10), predicted fine particles and fine sulfate particles, total suspended particles, coefficient of haze, extinction coefficient, and total sulfate measured at the Sutton station. We selected a set of underlying causes of death, as recorded on the death certificates, as the endpoint and then regressed the logarithm of daily counts of cause-specific mortality on the daily mean levels for the above measures of particulates, after accounting for seasonal and subseasonal fluctuations in the mortality time series, non-Poisson dispersion, weather variables, and gaseous pollutants. We found positive and statistically significant associations between the daily measures of ambient particle mass and sulfate mass and the deaths from respiratory diseases and diabetes. The mean percentage change in daily mortality (MPC), evaluated at the interquartile range for pollutants averaged over the day of death and the preceding 2 days, for deaths from respiratory diseases was MPC(COH)=6.90% (95% CI: 3.69-10.21%), MPC(Predicted PM2.5)= 9.03% (95% CI: 5.83- 12.33%), and MPC(Sutton sulfate)=4.64% (95% CI: 2.46-6.86%). For diabetes, the corresponding estimates were MPC(COH)=7.50% (95% CI: 1.96-13.34%), MPC(Predicted PM2.5)=7.59% (95% CI: 2.36-13.09%), and MPC(Sutton sulfate)=4.48% (95% CI: 1.08-7.99%). Among individuals older than 65 years at time of death, we found consistent associations across our metrics of particles for neoplasms and coronary artery diseases. Associations with sulfate mass were also found among elderly persons who died of cardiovascular diseases and of lung cancer. These associations were consistent with linear relationships. The associations found for respiratory diseases and for cardiovascular diseases, especially in the elderly, are in line with some of the current hypotheses regarding mechanisms by which ambient particles may increase daily mortality. The positive associations found for cancer and for diabetes may be understood through a general hypothesis proposed by Frank and Tankersley, who suggested that persons in failing health may be at higher risk for external insults through the failure of regulating physiological set points. The association with diabetes may be interpreted in light of recent toxicological findings that inhalation of urban particles in animals increases blood pressure and plasmatic levels of endothelins that enhance vasoconstriction and alter electrophysiology. Further research to confirm these findings and to determine whether they are causal is warranted.
本研究旨在确定1984年至1993年期间,魁北克省蒙特利尔市环境空气中颗粒物浓度的变化是否与特定病因的每日死亡率的每日变化相关。蒙特利尔的固定站点空气污染监测仪提供了各种颗粒物和气态污染物测量值的每日平均水平。1986年至1993年期间,还在该市东南150公里处的一个监测站(魁北克省萨顿)每日测量总硫酸盐。我们使用来自萨顿站的霾系数(COH)、消光系数和硫酸盐来预测缺失日期的细颗粒物和细颗粒物中的硫酸盐。我们估计了特定病因死亡率与PM(2.5)、PM(10)、预测的细颗粒物和细硫酸盐颗粒物、总悬浮颗粒物、霾系数、消光系数以及在萨顿站测量的总硫酸盐之间的关联。我们选择死亡证明上记录的一组潜在死因作为终点,然后在考虑了死亡率时间序列中的季节性和亚季节性波动、非泊松离散、天气变量和气态污染物之后,将特定病因死亡率的每日计数的对数对上述颗粒物测量值的每日平均水平进行回归。我们发现环境颗粒物质量和硫酸盐质量的每日测量值与呼吸系统疾病和糖尿病死亡之间存在正相关且具有统计学意义。在死亡当天及前2天平均污染物的四分位间距处评估的每日死亡率平均百分比变化(MPC),对于呼吸系统疾病死亡,MPC(COH)=6.90%(95%置信区间:3.69 - 10.21%),MPC(预测的PM2.5)=9.03%(95%置信区间:5.83 - 12.33 %),MPC(萨顿硫酸盐)=4.64%(95%置信区间:2.46 - 6.86%)。对于糖尿病,相应的估计值为MPC(COH)=7.50%(95%置信区间:1.96 - 13.34%),MPC(预测的PM2.5)=7.59%(95%置信区间:2.36 - 13.09%),MPC(萨顿硫酸盐)=4.48%(95%置信区间:1.08 - 7.99%)。在死亡时年龄大于65岁的个体中,我们发现我们的颗粒物指标与肿瘤和冠状动脉疾病之间存在一致的关联。在死于心血管疾病和肺癌的老年人中也发现了与硫酸盐质量的关联。这些关联与线性关系一致。在呼吸系统疾病和心血管疾病中发现的关联,尤其是在老年人中,与当前一些关于环境颗粒物可能增加每日死亡率的机制的假设相符。在癌症和糖尿病中发现的正相关可以通过弗兰克和坦克斯利提出的一个一般假设来理解,他们认为健康状况不佳的人可能由于调节生理设定点的失败而面临更高的外部伤害风险。鉴于最近的毒理学研究结果,即动物吸入城市颗粒物会增加血压和血浆内皮素水平,从而增强血管收缩并改变电生理,糖尿病与颗粒物的关联可以得到解释。有必要进行进一步的研究以证实这些发现并确定它们是否具有因果关系。