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亚特兰大颗粒物与健康研究(SOPHIA)的中期结果。

Interim results of the study of particulates and health in Atlanta (SOPHIA).

作者信息

Tolbert P E, Klein M, Metzger K B, Peel J, Flanders W D, Todd K, Mulholland J A, Ryan P B, Frumkin H

机构信息

Department of Environmental and Occupational Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA.

出版信息

J Expo Anal Environ Epidemiol. 2000 Sep-Oct;10(5):446-60. doi: 10.1038/sj.jea.7500106.

Abstract

Substantial evidence supports an association of particulate matter (PM) with cardiorespiratory illnesses, but little is known regarding characteristics of PM that might contribute to this association and the mechanisms of action. The Atlanta superstation sponsored by the Electric Power Research Institute as part of the Aerosol Research and Inhalation Epidemiology Study (ARIES) study is monitoring chemical composition of ambient particles by size fraction, as well as a comprehensive suite of other pollutants, at a site in downtown Atlanta during the 25-month period, August 1, 1998-August 31, 2000. Our investigative team is making use of this unique resource in several morbidity studies, called the "Study of Particulates and Health in Atlanta (SOPHIA)". The study includes the following components: (1) a time series investigation of emergency department (ED) visits for the period during which the superstation is operating; (2) a time series investigation of ED visits during the 5 years prior to implementation of the superstation; and (3) a study of arrhythmic events in patients equipped with automatic implantable cardioverter defibrillators (AICDs) for the period January 1, 1993-August 31, 2000. Thirty-three of 39 Atlanta area EDs are participating in the ED studies, comprising over a million annual ED visits. In this paper, we present initial analyses of data from 18 of the 33 participating EDs. The preliminary data set includes 1,662,713 ED visits during the pre-superstation time period and 559,480 visits during the superstation time period. Visits for four case groupings--asthma, chronic obstructive pulmonary disease (COPD), dysrhythmia, and all cardiovascular diseases (CVDs) combined--have been assessed relative to daily air quality indices, controlling for long-term temporal trends and meteorologic variables, using general linear models, generalized estimating equations and generalized additive models. Single-pollutant models predicting case visitation rates using moving averages of 0-, 1-, and 2-day lagged air quality variables were run. For the pre-superstation period, PM10 (24-h), ozone (8-h), SO2 (1-h), NO2 (1-h) and CO (1-h) were studied. For the first 12 months of superstation operation, the following air quality variables of a priori interest were available: ozone (8-h), NO2 (1-h), SO2 (1-h), CO (1-h), and 24-h measurements of PM10, coarse PM (PM 2.5-10 microm), PM2.5, polar VOCs, 10-100 nm particulate count and surface area, and in the PM2.5 fraction: sulfates, acidity, water-soluble metals, organic matter (OM), and elemental carbon (EC). During the pre-superstation time period, statistically significant, positive associations were observed for adult asthma with ozone, and for COPD with ozone, NO2 and PM10. During the superstation time period, the following statistically significant, positive associations were observed: dysrhythmia with CO, coarse PM, and PM2.5 EC; and all CVDs with CO, PM2.5 EC and PM2.5 OM. While covariation of many of the air quality indices limits the informativeness of this analysis, the study provides one of the first assessments of PM components in relation to ED visits.

摘要

大量证据支持颗粒物(PM)与心肺疾病之间存在关联,但对于可能导致这种关联的PM特征及其作用机制却知之甚少。由电力研究所在气溶胶研究与吸入流行病学研究(ARIES)中赞助的亚特兰大超级监测站,在1998年8月1日至2000年8月31日的25个月期间,于亚特兰大市中心的一个地点监测按粒径分级的环境颗粒物的化学成分以及一系列其他污染物。我们的研究团队正在多项发病率研究中利用这一独特资源,即“亚特兰大颗粒物与健康研究(SOPHIA)”。该研究包括以下几个部分:(1)对超级监测站运行期间急诊科(ED)就诊情况的时间序列调查;(2)对超级监测站运行前5年期间急诊科就诊情况的时间序列调查;(3)对1993年1月1日至2000年8月31日期间配备自动植入式心脏复律除颤器(AICD)的患者心律失常事件的研究。亚特兰大地区39家急诊科中的33家参与了急诊科研究,每年急诊科就诊人次超过100万。在本文中,我们展示了33家参与研究的急诊科中18家的数据初步分析结果。初步数据集包括超级监测站运行前时期的1662713次急诊科就诊和超级监测站运行时期的559480次就诊。针对哮喘、慢性阻塞性肺疾病(COPD)、心律失常以及所有心血管疾病(CVD)合并这四类病例分组的就诊情况,已相对于每日空气质量指数进行了评估,通过使用一般线性模型、广义估计方程和广义相加模型来控制长期时间趋势和气象变量。运行了使用0天至2天滞后空气质量变量移动平均值预测病例就诊率 的单污染物模型。对于超级监测站运行前时期,研究了PM10(24小时)、臭氧(8小时)、二氧化硫(1小时)、二氧化氮(1小时)和一氧化碳(1小时)。在超级监测站运行的前12个月,有以下预先关注的空气质量变量可用:臭氧(8小时)、二氧化氮(1小时)、二氧化硫(1小时)、一氧化碳(1小时)以及PM10、粗颗粒物(PM 2.5 - 10微米)、PM2.5、极性挥发性有机化合物、10 - 100纳米颗粒物计数和表面积的24小时测量值,以及在PM2.5组分中:硫酸盐、酸度、水溶性金属、有机物(OM)和元素碳(EC)。在超级监测站运行前时期,观察到成人哮喘与臭氧之间以及COPD与臭氧、二氧化氮和PM10之间存在统计学显著的正相关。在超级监测站运行时期,观察到以下统计学显著的正相关:心律失常与一氧化碳、粗颗粒物和PM2.5 EC相关;所有心血管疾病与一氧化碳、PM2.5 EC和PM2.5 OM相关。虽然许多空气质量指数的共变限制了该分析的信息量,但该研究提供了首批关于与急诊科就诊相关的PM成分评估之一。

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