School of Public Health, University of Alberta, Edmonton, AB; Department of Public Health, Universidad Industrial de Santander, Bucaramanga, Colombia.
Can J Public Health. 2018 Jan 22;108(5-6):e523-e529. doi: 10.17269/cjph.108.6136.
Children are recognized to be more susceptible than healthy adults to the effects of air pollution; however, relatively few Canadian studies of children have focused on industrial emissions. We conducted a spatial cross-sectional study to explore associations between emergency department (ED) visits for childhood asthma and residential proximity to two industrial sources of air pollution (coal-fired power plant and petrochemical industry) in Edmonton, Canada.
Using administrative health care data for Alberta between 2004 and 2010, we conducted a spatial analysis of disease clusters of count data around these two industrial sources. The distance from children's place of residence to these industrial sources was determined by using the six-character postal code from the children's ED visit. Clusters of cases were identified at the census dissemination area. Negative binomial multivariable spatial regression was used to estimate the risks of clusters in relation to the distance to these industrial sources.
The relative risk of ED visits for asthma, calculated using a spatial scan test for events, was 10.4 (p value <0.01) within the power plant area when compared with the outside area. In addition, there was an inverse association of the distance to the power plant (coefficient = -0.01 per km) with asthma visits when multivariable models were used. No asthma clusters were identified around the petrochemical industrial area.
Our analyses revealed that there was a cluster of ED visits for asthma among children who lived near the coal-fired power plant just outside Edmonton.
儿童比健康成年人更容易受到空气污染的影响,然而,加拿大对儿童的研究相对较少关注工业排放。我们进行了一项空间横断面研究,以探讨加拿大埃德蒙顿市儿童因哮喘前往急诊部(ED)就诊与居住在距离两个工业污染源(燃煤电厂和石化工业)远近之间的关系。
我们使用 2004 年至 2010 年艾伯塔省的行政医疗保健数据,对围绕这两个工业源的疾病群集的计数数据进行了空间分析。使用儿童 ED 就诊的六位邮政编码确定儿童居住地与这些工业源之间的距离。在普查传播区域识别病例群集。使用负二项多元空间回归估计与这些工业源距离相关的集群风险。
使用事件的空间扫描测试计算的哮喘 ED 就诊的相对风险在与外部区域相比,在电厂区域为 10.4(p 值 <0.01)。此外,当使用多变量模型时,与电厂的距离(系数=每公里-0.01)与哮喘就诊呈负相关。在石化工业区周围未发现哮喘集群。
我们的分析表明,在距离埃德蒙顿市外的燃煤电厂较近的儿童中,哮喘急诊就诊出现了一个集群。