Air pollution exposure and lung function in highly exposed subjects in Beijing, China: a repeated-measure study.
Air pollution exposure and lung function in highly exposed subjects in Beijing, China: a repeated-measure study.
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DOI：
10.1186/s12989-014-0051-7
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发表时间：
2014-10-02
影响因子：
10
通讯作者：
Hou L
中科院分区：
文献类型：
--
作者：
Baccarelli AA;Zheng Y;Zhang X;Chang D;Liu L;Wolf KR;Zhang Z;McCracken JP;Díaz A;Bertazzi PA;Schwartz J;Wang S;Kang CM;Koutrakis P;Hou L
暴露于环境颗粒物（PM）与肺功能降低有关。PM的元素成分已被认为在PM毒性中具有关键作用，但它们对呼吸效应的贡献仍有待研究。我们评估了交通相关的PM2.5及其元素成分对中国北京两组高度暴露的健康成年人肺功能的影响。北京卡车司机空气污染研究（BTDAS）于2008年对60名卡车司机和60名办公室工作人员进行了评估。在相隔1-2周的两天里，我们测量了工作日结束时的肺功能、个人PM2.5以及8小时工作期间PM2.5的9种元素成分，即，元素碳（EC）、钾（K）、硫（S）、铁（Fe）、硅（Si）、铝（Al）、锌（Zn）、钙（Ca）和钛（Ti）。我们使用协变量调整的混合效应模型，包括PM2.5作为协变量，以估计与四分位距（IQR）暴露增加相关的肺功能变化百分比。这两个群体的暴露分布较高且重叠，办公室工作人员的平均个人PM2.5为94.6 μg/m3（IQR：48.5-126.6），卡车司机为126.8 μg/m3（IQR：73.9-160.5）。九种元素的分布表现出组特异性的配置文件和卡车司机普遍较高的水平。在所有受试者中，1秒用力呼气量（FEV 1）和用力肺活量（FVC）与PM2.5无显著相关性。FEV 1与四种元素浓度呈负相关：Si（-3.07%，95% CI：-5.00;-1.11，IQR：1.54），Al（-2.88%，95% CI：-4.91;-0.81，IQR：0.86），Ca（-1.86%，95% CI：-2.95;-0.76，IQR：1.33）和Ti（-2.58%，95%CI：-4.44;-0.68，IQR：0.03），FVC与三种元素浓度呈负相关：Si（-3.23%，95%CI：-5.61; -0.79）、Al（-3.26%，95%CI：-5.73; -0.72）和Ca（-1.86%，95%CI：-3.23; -0.47）。在分层分析中，Si、Al、Ca和Ti仅在卡车司机中与肺功能相关，在办公室工作人员中无显著相关性。PM2.5的选定元素成分对肺功能的影响在单独的颗粒物水平分析中没有发现。本文的在线版本（doi：10.1186/s12989-014-0051-7）包含补充材料，可供授权用户使用。
Exposure to ambient particulate matter (PM) has been associated with reduced lung function. Elemental components of PM have been suggested to have critical roles in PM toxicity, but their contribution to respiratory effects remains under-investigated. We evaluated the effects of traffic-related PM2.5 and its elemental components on lung function in two highly exposed groups of healthy adults in Beijing, China. The Beijing Truck Driver Air Pollution Study (BTDAS) included 60 truck drivers and 60 office workers evaluated in 2008. On two days separated by 1-2 weeks, we measured lung function at the end of the work day, personal PM2.5, and nine elemental components of PM2.5 during eight hours of work, i.e., elemental carbon (EC), potassium (K), sulfur (S), iron (Fe), silicon (Si), aluminum (Al), zinc (Zn), calcium (Ca), and titanium (Ti). We used covariate-adjusted mixed-effects models including PM2.5 as a covariate to estimate the percentage change in lung function associated with an inter-quartile range (IQR) exposure increase. The two groups had high and overlapping exposure distributions with mean personal PM2.5 of 94.6 μg/m3 (IQR: 48.5-126.6) in office workers and 126.8 μg/m3 (IQR: 73.9-160.5) in truck drivers. The distributions of the nine elements showed group-specific profiles and generally higher levels in truck drivers. In all subjects combined, forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) did not significantly correlate with PM2.5. However, FEV1 showed negative associations with concentrations of four elements: Si (-3.07%, 95% CI: -5.00; -1.11, IQR: 1.54), Al (-2.88%, 95% CI: -4.91; -0.81, IQR: 0.86), Ca (-1.86%, 95% CI: -2.95; -0.76, IQR: 1.33), and Ti (-2.58%, 95% CI: -4.44; -0.68, IQR: 0.03), and FVC showed negative associations with concentrations of three elements: Si (-3.23%, 95% CI: -5.61; -0.79), Al (-3.26%, 95% CI: -5.73; -0.72), and Ca (-1.86%, 95% CI: -3.23; -0.47). In stratified analysis, Si, Al, Ca, and Ti showed associations with lung function only among truck drivers, and no significant association among office workers. Selected elemental components of PM2.5 showed effects on lung function that were not found in analyses of particle levels alone. The online version of this article (doi:10.1186/s12989-014-0051-7) contains supplementary material, which is available to authorized users.
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影响因子：
10
作者：
Hazucha MJ;Bromberg PA;Lay JC;Bennett W;Zeman K;Alexis NE;Kehrl H;Rappold AG;Cascio WE;Devlin RB
通讯作者：
Devlin RB
影响因子：
4.9
作者：
Gomes, J;Lloyd, OL;Pahwa, P
通讯作者：
Pahwa, P
影响因子：
4.3
作者：
Deb, Utsab;Lomash, Vinay;Vijayaraghavan, R.
通讯作者：
Vijayaraghavan, R.
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
5
作者：
Ahmadi-Abhari S;Kaptoge S;Luben RN;Wareham NJ;Khaw KT
通讯作者：
Khaw KT