Jerrett M, Burnett R T, Brook J, Kanaroglou P, Giovis C, Finkelstein N, Hutchison B
School of Geography and Geology and McMaster Institute of Environment and Health, McMaster University, Hamilton, Ontario, Canada.
J Epidemiol Community Health. 2004 Jan;58(1):31-40. doi: 10.1136/jech.58.1.31.
To assess the short term association between air pollution and mortality in different zones of an industrial city. An intra-urban study design is used to test the hypothesis that socioeconomic characteristics modify the acute health effects of ambient air pollution exposure.
The City of Hamilton, Canada, was divided into five zones based on proximity to fixed site air pollution monitors. Within each zone, daily counts of non-trauma mortality and air pollution estimates were combined. Generalised linear models (GLMs) were used to test mortality associations with sulphur dioxide (SO(2)) and with particulate air pollution measured by the coefficient of haze (CoH).
Increased mortality was associated with air pollution exposure in a citywide model and in intra-urban zones with lower socioeconomic characteristics. Low educational attainment and high manufacturing employment in the zones significantly and positively modified the acute mortality effects of air pollution exposure.
Three possible explanations are proposed for the observed effect modification by education and manufacturing: (1) those in manufacturing receive higher workplace exposures that combine with ambient exposures to produce larger health effects; (2) persons with lower education are less mobile and experience less exposure measurement error, which reduces bias toward the null; or (3) manufacturing and education proxy for many social variables representing material deprivation, and poor material conditions increase susceptibility to health risks from air pollution.
评估一个工业城市不同区域空气污染与死亡率之间的短期关联。采用城市内部研究设计来检验社会经济特征会改变环境空气污染暴露对健康的急性影响这一假设。
加拿大汉密尔顿市根据与固定站点空气污染监测器的距离被划分为五个区域。在每个区域内,将非创伤性死亡率的每日计数与空气污染估计值相结合。使用广义线性模型(GLM)来检验死亡率与二氧化硫(SO₂)以及通过雾霾系数(CoH)测量的颗粒物空气污染之间的关联。
在全市范围的模型以及社会经济特征较低的城市内部区域,死亡率增加与空气污染暴露相关。这些区域的低教育程度和高制造业就业显著且正向地改变了空气污染暴露对急性死亡率的影响。
针对观察到的教育和制造业对效应的改变,提出了三种可能的解释:(1)从事制造业的人在工作场所接触到更高的污染物,这与环境暴露相结合产生更大的健康影响;(2)教育程度较低的人流动性较小,接触测量误差也较小,这减少了向零假设的偏差;或者(3)制造业和教育是许多代表物质匮乏的社会变量的代理指标,而恶劣的物质条件会增加对空气污染健康风险的易感性。