Modeling the residential infiltration of outdoor PM(2.5) in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air).
Modeling the residential infiltration of outdoor PM(2.5) in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air).
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DOI：
10.1289/ehp.1104447
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发表时间：
2012-06
影响因子：
10.4
通讯作者：
Kaufman JD
中科院分区：
文献类型：
--
作者：
Allen RW;Adar SD;Avol E;Cohen M;Curl CL;Larson T;Liu LJ;Sheppard L;Kaufman JD
背景资料：细颗粒物[空气动力学直径≤ 2.5 μm（PM2.5）]的流行病学研究通常使用室外浓度作为暴露替代物。不考虑住宅渗透效率（Finf）的变化将影响流行病学研究结果。目的：我们的目标是开发模型来预测动脉粥样硬化和空气污染多种族研究（梅萨空气）中超过6,000个家庭的Finf，这是一项关于PM2.5暴露，亚临床心血管疾病和临床结局的前瞻性队列研究。方法：我们收集了526个两周，配对的室内-室外PM2.5过滤器样本，来自一个研究家庭的子集。PM2.5元素组成通过X射线荧光法测定，Finf估计为室内/室外硫比。我们回归Finf的气象变量和基于季节的模型的预测。使用10倍交叉验证的R2和均方根误差（RMSE）对模型进行评估。结果如下：所有社区和季节的平均值± SD Finf为0.62 ± 0.21，社区特异性平均值范围从北卡罗来纳州的温斯顿-塞勒姆的0.47 ± 0.15到纽约的纽约的0.82 ± 0.14。在温暖的季节（> 18°C），Finf通常较大。中央空调（AC）的使用，频率的AC使用，开窗频率是最重要的预测因子在温暖的季节，室外温度和强制空气热量是最好的冷季预测因子。模型预测了2周Finf的60%方差，RMSE为0.13。结论：我们开发了直观的模型，可以预测Finf使用容易获得的变量。使用这些模型，梅萨Air将成为第一个将住宅Finf变化纳入暴露评估的大型流行病学研究。
Background: Epidemiologic studies of fine particulate matter [aerodynamic diameter ≤ 2.5 μm (PM2.5)] typically use outdoor concentrations as exposure surrogates. Failure to account for variation in residential infiltration efficiencies (Finf) will affect epidemiologic study results. Objective: We aimed to develop models to predict Finf for > 6,000 homes in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air), a prospective cohort study of PM2.5 exposure, subclinical cardiovascular disease, and clinical outcomes. Methods: We collected 526 two-week, paired indoor–outdoor PM2.5 filter samples from a subset of study homes. PM2.5 elemental composition was measured by X-ray fluorescence, and Finf was estimated as the indoor/outdoor sulfur ratio. We regressed Finf on meteorologic variables and questionnaire-based predictors in season-specific models. Models were evaluated using the R2 and root mean square error (RMSE) from a 10-fold cross-validation. Results: The mean ± SD Finf across all communities and seasons was 0.62 ± 0.21, and community-specific means ranged from 0.47 ± 0.15 in Winston-Salem, North Carolina, to 0.82 ± 0.14 in New York, New York. Finf was generally greater during the warm (> 18°C) season. Central air conditioning (AC) use, frequency of AC use, and window opening frequency were the most important predictors during the warm season; outdoor temperature and forced-air heat were the best cold-season predictors. The models predicted 60% of the variance in 2-week Finf, with an RMSE of 0.13. Conclusions: We developed intuitive models that can predict Finf using easily obtained variables. Using these models, MESA Air will be the first large epidemiologic study to incorporate variation in residential Finf into an exposure assessment.
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影响因子：
5
作者：
Meng, Qing Yu;Spector, Dalia;Colome, Steven;Turpin, Barbara
通讯作者：
Turpin, Barbara
DOI：
10.1080/10473289.2006.10464529
发表时间：
2006-08-01
影响因子：
2.7
作者：
Aneja, Viney P.;Wang, Binyu;Steger, Joette
通讯作者：
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哮喘儿童室内和室外生成的颗粒的肺作用。
影响因子：
10.4
作者：
通讯作者：
--
DOI：
10.1097/ede.0b013e3181aba749
发表时间：
2009-09
期刊：
Epidemiology (Cambridge, Mass.)
影响因子：
--
作者：
Bell ML;Ebisu K;Peng RD;Dominici F
通讯作者：
Dominici F
影响因子：
5
作者：
Bild, DE;Bluemke, DA;Tracy, RP
通讯作者：
Tracy, RP