Ragettli Martina S, Phuleria Harish C, Tsai Ming-Yi, Schindler Christian, de Nazelle Audrey, Ducret-Stich Regina E, Ineichen Alex, Perez Laura, Braun-Fahrländer Charlotte, Probst-Hensch Nicole, Künzli Nino
1] Swiss Tropical and Public Health Institute, Basel, Switzerland [2] University of Basel, Basel, Switzerland.
1] Swiss Tropical and Public Health Institute, Basel, Switzerland [2] University of Basel, Basel, Switzerland [3] Centre for Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India.
J Expo Sci Environ Epidemiol. 2015 Sep-Oct;25(5):474-81. doi: 10.1038/jes.2014.83. Epub 2014 Dec 10.
Exposure during transport and at non-residential locations is ignored in most epidemiological studies of traffic-related air pollution. We investigated the impact of separately estimating NO2 long-term outdoor exposures at home, work/school, and while commuting on the association between this marker of exposure and potential health outcomes. We used spatially and temporally resolved commuter route data and model-based NO2 estimates of a population sample in Basel, Switzerland, to assign individual NO2-exposure estimates of increasing complexity, namely (1) home outdoor concentration; (2) time-weighted home and work/school concentrations; and (3) time-weighted concentration incorporating home, work/school and commute. On the basis of their covariance structure, we estimated the expectable relative differences in the regression slopes between a quantitative health outcome and our measures of individual NO2 exposure using a standard measurement error model. The traditional use of home outdoor NO2 alone indicated a 12% (95% CI: 11-14%) underestimation of related health effects as compared with integrating both home and work/school outdoor concentrations. Mean contribution of commuting to total weekly exposure was small (3.2%; range 0.1-13.5%). Thus, ignoring commute in the total population may not significantly underestimate health effects as compared with the model combining home and work/school. For individuals commuting between Basel-City and Basel-Country, ignoring commute may produce, however, a significant attenuation bias of 4% (95% CI: 4-5%). Our results illustrate the importance of including work/school locations in assessments of long-term exposures to traffic-related air pollutants such as NO2. Information on individuals' commuting behavior may further improve exposure estimates, especially for subjects having lengthy commutes along major transportation routes.
在大多数与交通相关的空气污染流行病学研究中,运输过程中和非居住场所的暴露被忽略。我们调查了分别估算家中、工作/学校以及通勤期间二氧化氮长期室外暴露量对这种暴露指标与潜在健康结果之间关联的影响。我们使用了瑞士巴塞尔人口样本的时空分辨通勤路线数据和基于模型的二氧化氮估算值,来分配复杂度不断增加的个体二氧化氮暴露估算值,即:(1) 家中室外浓度;(2) 家中和工作/学校的时间加权浓度;以及 (3) 纳入家中、工作/学校和通勤的时间加权浓度。基于它们的协方差结构,我们使用标准测量误差模型估算了定量健康结果与个体二氧化氮暴露量测量值之间回归斜率的预期相对差异。与综合考虑家中和工作/学校室外浓度相比,仅使用家中室外二氧化氮的传统方法表明相关健康影响被低估了12%(95%置信区间:11 - 14%)。通勤对每周总暴露量的平均贡献较小(3.2%;范围0.1 - 13.5%)。因此,与结合家中和工作/学校的模型相比,忽略总人口中的通勤情况可能不会显著低估健康影响。然而,对于在巴塞尔市和巴塞尔乡村之间通勤的个体,忽略通勤可能会产生4%(95%置信区间:4 - 5%)的显著衰减偏差。我们的结果说明了在评估与交通相关的空气污染物(如二氧化氮)长期暴露时纳入工作/学校地点的重要性。关于个体通勤行为的信息可能会进一步改善暴露估算,特别是对于那些沿主要交通路线有长时间通勤的受试者。