Wilson William E, Mar Therese F, Koenig Jane Q
National Center for Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
J Expo Sci Environ Epidemiol. 2007 Dec;17 Suppl 2:S11-9. doi: 10.1038/sj.jes.7500620.
Using ZIP code-level mortality data, the association of cardiovascular mortality with PM(2.5) and PM(10-2.5), measured at a central monitoring site, was determined for three populations at different distances from the monitoring site but with similar numbers of deaths and therefore similar statistical power. The % risk and statistical significance for the association of mortality with PM(2.5) fell off with distance from the monitor, as would be expected if exposure error increased with distance. However, the % risk for PM(10-2.5) increased in going from the population in Central Phoenix, where the monitoring site was located, to a population in a Middle Ring around Phoenix and fell off in an Outer Ring population. The % risks for the Outer Ring were low for each of the six lag days (0-5) and for the 6-day moving average. The lag structures for PM(2.5) and PM(10-2.5) also differed for the Central Phoenix and Middle Ring populations. These differences led us to examine the socioeconomic status (SES) of the populations. On the basis of education and income, the population in Central Phoenix had a lower SES than the Middle Ring. Thus, the differences between Central Phoenix and the Middle Ring may be due to effect modification by SES and differences in exposure error. However, the effect modification by SES may be different for thoracic coarse particulate matter (PM) than for fine PM. This study provides new information on the association of PM(10-2.5) with cardiovascular mortality. In the Middle Ring, the % risk per 10 microg/m3 increase in PM(10-2.5) concentration (lower and upper 95% confidence levels) for lag day 1 was 3.4 (1.0, 5.8) and for the 6-day distributed-lag was 3.8 (0.3, 7.5). The differences in lag structure for PM(2.5) and PM(10-2.5) provide evidence that the two particle size classes have health effects that are different and independent. This study also helps explain the high % risks for PM(2.5) found for Central Phoenix, 6.6 (1.1, 12.5) for lag day 1, and 11.5 (2.8, 20.9) for the 6-day moving average. The smaller area may have a lower exposure error, and the lower SES population may be more susceptible to fine PM as compared to the larger areas and more heterogeneous populations used in many studies.
利用邮政编码区域层面的死亡率数据,针对距离监测站点不同距离但死亡人数相近因而统计效力相似的三个人口群体,确定了在一个中央监测站点测量的心血管死亡率与细颗粒物(PM₂.₅)及粗颗粒物(PM₁₀₋₂.₅)之间的关联。死亡率与PM₂.₅关联的风险百分比及统计学显著性随与监测站点距离的增加而下降,这正如预期的那样,如果暴露误差随距离增加的话。然而,从监测站点所在的菲尼克斯市中心的人口群体,到菲尼克斯市中环的人口群体,再到外环的人口群体,PM₁₀₋₂.₅的风险百分比却有所增加,然后又下降。外环在六个滞后日(0 - 5天)以及6天移动平均值中的风险百分比都很低。PM₂.₅和PM₁₀₋₂.₅在菲尼克斯市中心和中环人口群体中的滞后结构也有所不同。这些差异促使我们去研究这些人口群体的社会经济地位(SES)。基于教育程度和收入来看,菲尼克斯市中心的人口群体的社会经济地位低于中环的人口群体。因此,菲尼克斯市中心和中环之间的差异可能是由于社会经济地位的效应修正以及暴露误差的差异。然而,社会经济地位对胸腔粗颗粒物(PM)的效应修正可能与对细颗粒物的效应修正有所不同。这项研究提供了关于PM₁₀₋₂.₅与心血管死亡率关联的新信息。在中环,对于滞后日1,PM₁₀₋₂.₅浓度每增加10微克/立方米的风险百分比(95%置信区间下限和上限)为3.4(1.0,5.8),对于6天分布滞后为3.8(0.3,7.5)。PM₂.₅和PM₁₀₋₂.₅滞后结构的差异表明,这两种粒径级别的颗粒物对健康的影响是不同且独立的。这项研究也有助于解释在菲尼克斯市中心发现的PM₂.₅的高风险百分比,滞后日1为6.6(1.1,12.5),6天移动平均值为11.5(2.8,20.9)。较小的区域可能具有较低的暴露误差,并且与许多研究中使用的较大区域和更具异质性的人口群体相比,社会经济地位较低的人口群体可能对细颗粒物更敏感。