Texas A&M Transportation Institute (TTI) and Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH), TX, United States of America; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain; Institute for Transport Studies (ITS), University of Leeds, Leeds, United Kingdom.
Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Switzerland.
Environ Int. 2018 May;114:365-375. doi: 10.1016/j.envint.2018.03.008. Epub 2018 Mar 27.
Asthma is the most common chronic disease in children. Traffic-related air pollution (TRAP) may be an important exposure contributing to its development. In the UK, Bradford is a deprived city suffering from childhood asthma rates higher than national and regional averages and TRAP is of particular concern to the local communities.
We estimated the burden of childhood asthma attributable to air pollution and specifically TRAP in Bradford. Air pollution exposures were estimated using a newly developed full-chain exposure assessment model and an existing land-use regression model (LUR).
We estimated childhood population exposure to NO and, by conversion, NO at the smallest census area level using a newly developed full-chain model knitting together distinct traffic (SATURN), vehicle emission (COPERT) and atmospheric dispersion (ADMS-Urban) models. We compared these estimates with measurements and estimates from ESCAPE's LUR model. Using the UK incidence rate for childhood asthma, meta-analytical exposure-response functions, and estimates from the two exposure models, we estimated annual number of asthma cases attributable to NO and NO in Bradford, and annual number of asthma cases specifically attributable to traffic.
The annual average census tract levels of NO and NO estimated using the full-chain model were 15.41 and 25.68 μg/m, respectively. On average, 2.75 μg/m NO and 4.59 μg/m NO were specifically contributed by traffic, without minor roads and cold starts. The annual average census tract levels of NO and NO estimated using the LUR model were 21.93 and 35.60 μg/m, respectively. The results indicated that up to 687 (or 38% of all) annual childhood asthma cases in Bradford may be attributable to air pollution. Up to 109 cases (6%) and 219 cases (12%) may be specifically attributable to TRAP, with and without minor roads and cold starts, respectively.
This is the first study undertaking full-chain health impact assessment of TRAP and childhood asthma in a disadvantaged population with public concern about TRAP. It further adds to scarce literature exploring the impact of different exposure assessments. In conservative estimates, air pollution and TRAP are estimated to cause a large, but largely preventable, childhood asthma burden. Future progress with childhood asthma requires a move beyond the prevalent disease control-based approach toward asthma prevention.
哮喘是儿童中最常见的慢性疾病。与交通相关的空气污染(TRAP)可能是导致其发展的一个重要暴露因素。在英国,布拉德福德是一个贫困城市,儿童哮喘发病率高于全国和地区平均水平,TRAP 尤其引起当地社区的关注。
我们估计了空气污染,特别是布拉德福德 TRAP 对儿童哮喘的负担。空气污染暴露量使用新开发的全链暴露评估模型和现有的土地利用回归模型(LUR)进行估算。
我们使用新开发的全链模型,将交通(SATURN)、车辆排放(COPERT)和大气扩散(ADMS-Urban)模型的不同部分串联起来,估算了 NO 及以 NO 表示的最小普查区水平的儿童人口暴露量。我们将这些估计值与 ESCAPE 的 LUR 模型的测量值和估计值进行了比较。利用英国儿童哮喘发病率、荟萃分析的暴露-反应函数以及两个暴露模型的估计值,我们估计了布拉德福德归因于 NO 和 NO 的哮喘病例数,以及归因于交通的哮喘病例数。
使用全链模型估算的年平均普查区 NO 和 NO 水平分别为 15.41μg/m 和 25.68μg/m。平均而言,2.75μg/m 的 NO 和 4.59μg/m 的 NO 是由交通引起的,不包括次要道路和冷启动。使用 LUR 模型估算的年平均普查区 NO 和 NO 水平分别为 21.93μg/m 和 35.60μg/m。结果表明,布拉德福德多达 687 例(或所有病例的 38%)年度儿童哮喘病例可能归因于空气污染。考虑到次要道路和冷启动因素,多达 109 例(6%)和 219 例(12%)病例可能归因于 TRAP。
这是第一项在公众关注 TRAP 的弱势人群中对 TRAP 和儿童哮喘进行全链健康影响评估的研究。它进一步补充了探索不同暴露评估影响的稀缺文献。在保守估计下,空气污染和 TRAP 估计会造成大量但在很大程度上可预防的儿童哮喘负担。未来要减少儿童哮喘,需要超越基于普遍疾病控制的方法,转向哮喘预防。