National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.
Environ Health Perspect. 2012 Aug;120(8):1183-9. doi: 10.1289/ehp.1104389. Epub 2012 May 2.
Specific characteristics of particulate matter (PM) responsible for associations with respiratory health observed in epidemiological studies are not well established. High correlations among, and differential measurement errors of, individual components contribute to this uncertainty.
We investigated which characteristics of PM have the most consistent associations with acute changes in respiratory function in healthy volunteers.
We used a semiexperimental design to accurately assess exposure. We increased exposure contrast and reduced correlations among PM characteristics by exposing volunteers at five different locations: an underground train station, two traffic sites, a farm, and an urban background site. Each of the 31 participants was exposed for 5 hr while exercising intermittently, three to seven times at different locations during March-October 2009. We measured PM10, PM2.5, particle number concentrations (PNC), absorbance, elemental/organic carbon, trace metals, secondary inorganic components, endotoxin content, gaseous pollutants, and PM oxidative potential. Lung function [FEV1 (forced expiratory volume in 1 sec), FVC (forced vital capacity), FEF25-75 (forced expiratory flow at 25-75% of vital capacity), and PEF (peak expiratory flow)] and fractional exhaled nitric oxide (FENO) were measured before and at three time points after exposure. Data were analyzed with mixed linear regression.
An interquartile increase in PNC (33,000 particles/cm3) was associated with an 11% [95% confidence interval (CI): 5, 17%] and 12% (95% CI: 6, 17%) FENO increase over baseline immediately and at 2 hr postexposure, respectively. A 7% (95% CI: 0.5, 14%) increase persisted until the following morning. These associations were robust and insensitive to adjustment for other pollutants. Similarly consistent associations were seen between FVC and FEV1 with PNC, NO2 (nitrogen dioxide), and NOx (nitrogen oxides).
Changes in PNC, NO2, and NOx were associated with evidence of acute airway inflammation (i.e., FENO) and impaired lung function. PM mass concentration and PM10 oxidative potential were not predictive of the observed acute responses.
造成流行病学研究中观察到的颗粒物(PM)与呼吸健康之间关联的特定特征尚不清楚。个别成分之间的高度相关性和差异测量误差导致了这种不确定性。
我们研究了 PM 的哪些特征与健康志愿者的呼吸功能急性变化最密切相关。
我们使用半实验设计来准确评估暴露情况。我们通过让志愿者在五个不同的地点暴露来增加暴露对比并减少 PM 特征之间的相关性:一个地下火车站、两个交通地点、一个农场和一个城市背景地点。2009 年 3 月至 10 月期间,31 名参与者中的每一位都在不同地点间歇性地进行了 5 小时的暴露。我们测量了 PM10、PM2.5、颗粒数浓度(PNC)、吸光度、元素/有机碳、痕量金属、二次无机成分、内毒素含量、气态污染物和 PM 氧化潜能。在暴露之前和暴露后三个时间点测量了肺功能[FEV1(1 秒用力呼气量)、FVC(用力肺活量)、FEF25-75(肺活量 25-75%时的强制呼气流量)和 PEF(峰值呼气流量)]和呼出气一氧化氮分数(FENO)。使用混合线性回归分析数据。
PNC(33000 个颗粒/cm3)的四分位间距增加与暴露后立即和 2 小时时 FENO 分别增加 11%(95%置信区间[CI]:5,17%)和 12%(95% CI:6,17%)相关。这种关联一直持续到第二天早上,增加了 7%(95% CI:0.5,14%)。这些关联是稳健的,并且不受其他污染物调整的影响。同样,PNC、NO2(二氧化氮)和 NOx(氮氧化物)与 FVC 和 FEV1 之间也存在一致的关联。
PNC、NO2 和 NOx 的变化与急性气道炎症(即 FENO)和肺功能受损有关。PM 质量浓度和 PM10 氧化潜能与观察到的急性反应无关。