Sexton Ken, Mongin Steven J, Adgate John L, Pratt Gregory C, Ramachandran Gurumurthy, Stock Thomas H, Morandi Maria T
Brownsville Regional Campus, University of Texas School of Public Health, Brownsville, Texas 78520, USA.
J Toxicol Environ Health A. 2007 Mar 1;70(5):465-76. doi: 10.1080/15287390600870858.
Repeated measures of personal exposure to 14 volatile organic compounds (VOC) were obtained over 3 seasons for 70 healthy, nonsmoking adults living in Minneapolis-St. Paul. Matched data were also available for participants' time-activity patterns, and measured VOC concentrations outdoors in the community and indoors in residences. A novel modeling approach employing hierarchical Bayesian techniques was used to estimate VOC concentrations (posterior mode) and variability (credible intervals) in five microenvironments: (1) indoors at home; (2) indoors at work/school; (3) indoors in other locations; (4) outdoors in any location; and (5) in transit. Estimated concentrations tended to be highest in "other" indoor microenvironments (e.g., grocery stores, restaurants, shopping malls), intermediate in the indoor work/school and residential microenvironments, and lowest in the outside and in-transit microenvironments. Model estimates for all 14 VOC were reasonable approximations of measured median concentrations in the indoor residential microenvironment. The largest predicted contributor to cumulative (2-day) personal exposure for all 14 VOC was the indoor residential environment. Model-based results suggest that indoors-at-work/school and indoors-at-other-location microenvironments were the second or third largest contributors for all VOC, while the outside-in-any-location and in-transit microenvironments appeared to contribute negligibly to cumulative personal exposure. Results from a mixed-effects model indicate that being in or near a garage increased personal exposure to o-xylene, m/p-xylene, benzene, ethylbenzene, and toluene, and leaving windows and doors at home open for 6 h or more decreased personal exposure to 13 of 14 VOC, all except trichloroethylene.
在三个季节里,对居住在明尼阿波利斯 - 圣保罗市的70名健康、不吸烟的成年人进行了14种挥发性有机化合物(VOC)个人暴露的重复测量。还获取了参与者时间 - 活动模式的匹配数据,以及社区室外和住宅室内测量的VOC浓度。采用一种运用分层贝叶斯技术的新型建模方法来估计五个微环境中的VOC浓度(后验模式)和变异性(可信区间):(1)家中室内;(2)工作/学校室内;(3)其他场所室内;(4)任何场所室外;(5)出行途中。估计浓度在“其他”室内微环境(如杂货店、餐馆、购物中心)往往最高,在工作/学校室内和住宅室内微环境中处于中等水平,而在室外和出行途中微环境中最低。所有14种VOC的模型估计值与室内住宅微环境中测量的中位数浓度合理近似。所有14种VOC累积(两天)个人暴露的最大预测贡献者是室内住宅环境。基于模型的结果表明,工作/学校室内和其他场所室内微环境是所有VOC的第二或第三大贡献者,而任何场所室外和出行途中微环境对累积个人暴露的贡献似乎可忽略不计。混合效应模型的结果表明,身处车库或其附近会增加个人对邻二甲苯、间/对二甲苯、苯、乙苯和甲苯的暴露,而在家中门窗打开6小时或更长时间会降低14种VOC中13种的个人暴露,三氯乙烯除外。