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评估局部空气污染对每日死亡人数的因果效应:低水平污染的影响。

Estimating Causal Effects of Local Air Pollution on Daily Deaths: Effect of Low Levels.

作者信息

Schwartz Joel, Bind Marie-Abele, Koutrakis Petros

机构信息

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

出版信息

Environ Health Perspect. 2017 Jan;125(1):23-29. doi: 10.1289/EHP232. Epub 2016 May 20.

Abstract

BACKGROUND

Although many time-series studies have established associations of daily pollution variations with daily deaths, there are fewer at low concentrations, or focused on locally generated pollution, which is becoming more important as regulations reduce regional transport. Causal modeling approaches are also lacking.

OBJECTIVE

We used causal modeling to estimate the impact of local air pollution on mortality at low concentrations.

METHODS

Using an instrumental variable approach, we developed an instrument for variations in local pollution concentrations that is unlikely to be correlated with other causes of death, and examined its association with daily deaths in the Boston, Massachusetts, area. We combined height of the planetary boundary layer and wind speed, which affect concentrations of local emissions, to develop the instrument for particulate matter ≤ 2.5 μm (PM2.5), black carbon (BC), or nitrogen dioxide (NO2) variations that were independent of year, month, and temperature. We also used Granger causality to assess whether omitted variable confounding existed.

RESULTS

We estimated that an interquartile range increase in the instrument for local PM2.5 was associated with a 0.90% increase in daily deaths (95% CI: 0.25, 1.56). A similar result was found for BC, and a weaker association with NO2. The Granger test found no evidence of omitted variable confounding for the instrument. A separate test confirmed the instrument was not associated with mortality independent of pollution. Furthermore, the association remained when all days with PM2.5 concentrations > 30 μg/m3 were excluded from the analysis (0.84% increase in daily deaths; 95% CI: 0.19, 1.50).

CONCLUSIONS

We conclude that there is a causal association of local air pollution with daily deaths at concentrations below U.S. EPA standards. The estimated attributable risk in Boston exceeded 1,800 deaths during the study period, indicating that important public health benefits can follow from further control efforts. Citation: Schwartz J, Bind MA, Koutrakis P. 2017. Estimating causal effects of local air pollution on daily deaths: effect of low levels. Environ Health Perspect 125:23-29; http://dx.doi.org/10.1289/EHP232.

摘要

背景

尽管许多时间序列研究已经确立了每日污染变化与每日死亡之间的关联,但在低浓度情况下的相关研究较少,或者研究重点是本地产生的污染,随着法规减少区域传输,本地产生的污染正变得愈发重要。因果建模方法也较为缺乏。

目的

我们使用因果建模来估计低浓度下本地空气污染对死亡率的影响。

方法

我们采用工具变量法,开发了一种本地污染浓度变化的工具,该工具不太可能与其他死亡原因相关,并研究了其与马萨诸塞州波士顿地区每日死亡的关联。我们综合了影响本地排放物浓度的行星边界层高度和风速,以开发与年份、月份和温度无关的粒径小于等于2.5微米的颗粒物(PM2.5)、黑碳(BC)或二氧化氮(NO2)变化的工具。我们还使用格兰杰因果关系来评估是否存在遗漏变量混杂。

结果

我们估计,本地PM2.5工具的四分位数间距增加与每日死亡增加0.90%相关(95%置信区间:[0.25, 1.56])。BC也有类似结果,与NO2的关联较弱。格兰杰检验未发现该工具存在遗漏变量混杂的证据。另一项检验证实该工具与独立于污染的死亡率无关。此外,当分析中排除所有PM2.5浓度>30μg/m3的日子时,这种关联仍然存在(每日死亡增加0.84%;95%置信区间:[0.19, 1.50])。

结论

我们得出结论,在美国环境保护局标准以下的浓度水平,本地空气污染与每日死亡之间存在因果关联。在研究期间,波士顿估计可归因风险超过1800例死亡,这表明进一步的控制措施可带来重要的公共卫生效益。引用文献:施瓦茨J、宾德MA、库特拉基斯P。2017年。估计本地空气污染对每日死亡的因果效应:低水平的影响。《环境健康展望》125:23 - 29;http://dx.doi.org/10.1289/EHP232

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f39/5226700/2918a6b49ec9/EHP232.g001.jpg

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