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意大利南部塔兰托地区的工业空气污染与死亡率:双重差分法。

Industrial air pollution and mortality in the Taranto area, Southern Italy: A difference-in-differences approach.

机构信息

Local Health Service Taranto, Viale Virgilio 31, Taranto, Italy.

Department of Epidemiology, Lazio Regional Health Service, Rome - ASL Roma 1, Via Cristoforo Colombo, 112, Italy.

出版信息

Environ Int. 2019 Nov;132:105030. doi: 10.1016/j.envint.2019.105030. Epub 2019 Aug 6.

Abstract

BACKGROUND

A large steel plant close to the urban area of Taranto (Italy) has been operating since the sixties. Several studies conducted in the past reported an excess of mortality and morbidity from various diseases at the town level, possibly due to air pollution from the plant. However, the relationship between air pollutants emitted from the industry and adverse health outcomes has been controversial. We applied a variant of the "difference-in-differences" (DID) approach to examine the relationship between temporal changes in exposure to industrial PM from the plant and changes in cause-specific mortality rates at area unit level.

METHODS

We examined a dynamic cohort of all subjects (321,356 individuals) resident in the Taranto area in 1998-2010 and followed them up for mortality till 2014. In this work, we included only deaths occurring on 2008-2014. We observed a total of 15,303 natural deaths in the cohort and age-specific annual death rates were computed for each area unit (11 areas in total). PM and NO concentrations measured at air quality monitoring stations and the results of a dispersion model were used to estimate annual average population weighted exposures to PM of industrial origin for each year, area unit and age class. Changes in exposures and in mortality were analyzed using Poisson regression.

RESULTS

We estimated an increased risk in natural mortality (1.86%, 95% confidence interval [CI]: -0.06, 3.83%) per 1 μg/m annual change of industrial PM, mainly driven by respiratory causes (8.74%, 95% CI: 1.50, 16.51%). The associations were statistically significant only in the elderly (65+ years).

CONCLUSIONS

The DID approach is intuitively simple and reduces confounding by design. Under the multiple assumptions of this approach, the study indicates an effect of industrial PM on natural mortality, especially in the elderly population.

摘要

背景

一家大型钢铁厂位于意大利塔兰托市区附近,自 20 世纪 60 年代以来一直在运营。过去的多项研究报告称,该镇的死亡率和发病率均高于其他地区,这可能是由于该工厂的空气污染所致。然而,工业排放的空气污染物与不良健康结果之间的关系一直存在争议。我们应用了一种“差分法”(DID)的变体,以检验工厂工业 PM 暴露时间变化与地区单位层面特定病因死亡率变化之间的关系。

方法

我们对 1998 年至 2010 年期间居住在塔兰托地区的所有对象(321356 人)进行了动态队列研究,并对其进行了死亡率随访,直至 2014 年。在这项工作中,我们只包括了 2008 年至 2014 年发生的死亡。我们在队列中观察到了 15303 例自然死亡,为每个地区单位(共 11 个地区)计算了特定年龄的年死亡率。空气质量监测站测量的 PM 和 NO 浓度以及扩散模型的结果用于估计每年、每个地区单位和年龄组的工业源 PM 的人口加权平均暴露量。使用泊松回归分析暴露量和死亡率的变化。

结果

我们估计,每年工业 PM 每增加 1μg/m,自然死亡率增加 1.86%(95%置信区间[CI]:-0.06,3.83%),主要由呼吸道疾病引起(8.74%,95%CI:1.50,16.51%)。这些关联在老年人(65 岁以上)中具有统计学意义。

结论

DID 方法直观简单,通过设计减少了混杂因素。在该方法的多项假设下,研究表明工业 PM 对自然死亡率有影响,尤其是在老年人群中。

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