Airborne particles are a risk factor for hospital admissions for heart and lung disease
Airborne particles are a risk factor for hospital admissions for heart and lung disease
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DOI：
10.2307/3434961
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发表时间：
2000-11-01
影响因子：
10.4
通讯作者：
Dockery, DW
中科院分区：
文献类型：
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作者：
Zanobetti, A;Schwartz, J;Dockery, DW
我们在美国十个城市调查了颗粒物小于或等于10 PM；(PM10)与心脏病和肺病住院之间的关系。我们的三个目标是确定是否存在关联，估计这种关联是如何在暴露和反应之间的不同滞后时间内分布的，并检查社会经济因素和共轭化合物作为影响修饰剂和混杂因素。我们在每个城市拟合泊松回归模型，以考虑城市特定的差异，然后将城市特定的结果组合在一起。我们通过对特定城市的结果进行元回归来检验潜在的混杂因素。使用一个同时考虑PM10影响的模型，直到5天的滞后，我们发现PM10每增加10µg/m(3)，慢性阻塞性肺疾病增加2.5%[95%可信区间(CI)1.8-3.3]，肺炎增加1.95%(CI，1.5-2.4)，心血管疾病增加1.27%(CI，1-1.5)。我们发现使用同一天和前一天的PM10的平均值进行了类似的影响估计，但只使用一天的PM10进行了较低的估计。当只使用PM10和50毫克/立方米的天数时，对所有三种结果的影响大小都增加了20%。这些影响不会因贫困率或少数族裔地位而改变。在控制二氧化硫、臭氧和一氧化碳的混杂时，结果稳定。这些结果与之前的流行病学和最近在动物和人类中进行的机制研究是一致的。
We examined the association between particulate matter less than or equal to 10 pm; (PM10) and hospital admission for heart and lung disease in ten U.S. cities. Our three goals were to determine whether there was an association, to estimate how the association was distributed across various lags between exposure and response, and to examine socioeconomic factors and copollutants as effect modifiers and confounders. We fit a Poisson regression model in each city to allow for city-specific differences and then combined the city-specific results. We examined potential confounding by a meta-regression of the city-specific results. Using a model that considered simultaneously the effects of PM10 up to lags of 5 days, we found a 2.5% [95% confidence interval (CI), 1.8-3.3] increase in chronic obstructive pulmonary disease, a 1.95% (CI, 1.5-2.4) increase in pneumonia, and a 1.27% increase (CI, 1-1.5) in CVD for a 10 mug/m(3) increase in PM10. We found similar effect estimates using the mean of PM10 on the same and previous day, but lower estimates using only PM10 for a single day. When using only days with PM10 < 50 mg/m3, the effect size increased by 20% for all three outcomes. These effects are not modified by poverty rates or minority status. The results were stable when controlling for confounding by sulfur dioxide, ozone, and carbon monoxide. These results are consistent with previous epidemiology and recent mechanistic studies in animals and humans.