Division of Environmental Health Sciences, School of Public Health, University of California Berkeley, USA.
Am J Respir Crit Care Med. 2013 Sep 1;188(5):593-9. doi: 10.1164/rccm.201303-0609OC.
Although substantial scientific evidence suggests that chronic exposure to ambient air pollution contributes to premature mortality, uncertainties exist in the size and consistency of this association. Uncertainty may arise from inaccurate exposure assessment.
To assess the associations of three types of air pollutants (fine particulate matter, ozone [O3], and nitrogen dioxide [NO2]) with the risk of mortality in a large cohort of California adults using individualized exposure assessments.
For fine particulate matter and NO2, we used land use regression models to derive predicted individualized exposure at the home address. For O3, we estimated exposure with an inverse distance weighting interpolation. Standard and multilevel Cox survival models were used to assess the association between air pollution and mortality.
Data for 73,711 subjects who resided in California were abstracted from the American Cancer Society Cancer Prevention II Study cohort, with baseline ascertainment of individual characteristics in 1982 and follow-up of vital status through to 2000. Exposure data were derived from government monitors. Exposure to fine particulate matter, O3, and NO2 was positively associated with ischemic heart disease mortality. NO2 (a marker for traffic pollution) and fine particulate matter were also associated with mortality from all causes combined. Only NO2 had significant positive association with lung cancer mortality.
Using the first individualized exposure assignments in this important cohort, we found positive associations of fine particulate matter, O3, and NO2 with mortality. The positive associations of NO2 suggest that traffic pollution relates to premature death.
尽管大量科学证据表明,长期暴露于环境空气中的污染物会导致过早死亡,但这种关联的规模和一致性仍存在不确定性。这种不确定性可能源于暴露评估不准确。
利用加利福尼亚州大量成年人的个体暴露评估,评估三种空气污染物(细颗粒物、臭氧[O3]和二氧化氮[NO2])与死亡率风险之间的关联。
对于细颗粒物和 NO2,我们使用土地利用回归模型从家庭地址推导出预测的个体暴露值。对于 O3,我们使用反距离权重插值法来估计暴露量。标准和多层次 Cox 生存模型用于评估空气污染与死亡率之间的关联。
从美国癌症协会癌症预防 II 研究队列中提取了 73711 名居住在加利福尼亚州的受试者的数据,这些受试者的个人特征在 1982 年进行了基线确定,并对其生命状态进行了随访至 2000 年。暴露数据来自政府监测器。细颗粒物、O3 和 NO2 的暴露与缺血性心脏病死亡率呈正相关。NO2(交通污染的标志物)和细颗粒物也与所有原因导致的死亡率有关。只有 NO2 与肺癌死亡率有显著的正相关关系。
在这个重要的队列中,我们首次使用个体暴露分配,发现细颗粒物、O3 和 NO2 与死亡率呈正相关。NO2 的正相关性表明交通污染与过早死亡有关。