Fine particulate matter and cardiovascular disease: Comparison of assessment methods for long-term exposure.
Fine particulate matter and cardiovascular disease: Comparison of assessment methods for long-term exposure.
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DOI：
10.1016/j.envres.2017.07.041
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发表时间：
2017-11
影响因子：
8.3
通讯作者：
Devlin RB
中科院分区：
文献类型：
--
作者：
McGuinn LA;Ward-Caviness C;Neas LM;Schneider A;Di Q;Chudnovsky A;Schwartz J;Koutrakis P;Russell AG;Garcia V;Kraus WE;Hauser ER;Cascio W;Diaz-Sanchez D;Devlin RB
不良心血管事件与PM2.5暴露有关，PM2.5暴露主要来自空气质量监测器，这些监测器很少与参与者的住所位于同一地点。更精细分辨率的PM2.5模型预测可能更准确地预测住宅暴露;然而，很少有研究比较不同暴露评估方法的结果。我们使用了2002-2009年期间在NC居住的5679例接受心导管插入术的患者。使用空气质量监测器（AQS）的数据估计导管插入前一年的PM2.5暴露，在人口普查区和12公里空间分辨率的社区多尺度空气质量（CMAQ）融合模型，以及10公里和1公里分辨率的卫星模型。病例状态为冠状动脉疾病（CAD）指数>23或近期心肌梗死（MI）。Logistic回归用于对PM2.5每增加1个单位（µg/m3）的CAD或MI的几率进行建模，调整性别，种族，吸烟状况，社会经济状况和城市/农村状况。我们发现，对于所有暴露评估方法，CAD>23和MI的增加几率几乎相等。一个区别是，从AQS和普查区CMAQ的数据显示，农村/城市的相对风险的差异，这是不明显的卫星或12公里CMAQ模型。长期空气污染暴露与冠状动脉疾病的建模和监测数据。
Adverse cardiovascular events have been linked with PM2.5 exposure obtained primarily from air quality monitors, which rarely co-locate with participant residences. Modeled PM2.5 predictions at finer resolution may more accurately predict residential exposure; however few studies have compared results across different exposure assessment methods. We utilized a cohort of 5679 patients who had undergone a cardiac catheterization between 2002–2009 and resided in NC. Exposure to PM2.5 for the year prior to catheterization was estimated using data from air quality monitors (AQS), Community Multiscale Air Quality (CMAQ) fused models at the census tract and 12km spatial resolutions, and satellite-based models at 10km and 1km resolutions. Case status was either a coronary artery disease (CAD) index >23 or a recent myocardial infarction (MI). Logistic regression was used to model odds of having CAD or an MI with each 1-unit (µg/m3) increase in PM2.5, adjusting for sex, race, smoking status, socioeconomic status, and urban/rural status. We found that the elevated odds for CAD>23 and MI were nearly equivalent for all exposure assessment methods. One difference was that data from AQS and the census tract CMAQ showed a rural/urban difference in relative risk, which was not apparent with the satellite or 12km-CMAQ models. Long-term air pollution exposure was associated with coronary artery disease for both modeled and monitored data.
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影响因子：
8.3
作者：
Bravo MA;Fuentes M;Zhang Y;Burr MJ;Bell ML
通讯作者：
Bell ML
DOI：
10.1186/1476-069x-11-40
发表时间：
2012-06-18
期刊：
Environmental health : a global access science source
影响因子：
--
作者：
Kloog I;Melly SJ;Ridgway WL;Coull BA;Schwartz J
通讯作者：
Schwartz J
影响因子：
11.4
作者：
Di Q;Kloog I;Koutrakis P;Lyapustin A;Wang Y;Schwartz J
通讯作者：
Schwartz J
影响因子：
6.3
作者：
Lee, H. J.;Liu, Y.;Koutrakis, P.
通讯作者：
Koutrakis, P.
影响因子：
0.5
作者：
Agarwal, Neil K.;Sharma, Prerna;Agarwal, Shashi K.
通讯作者：
Agarwal, Shashi K.