印度十个城市的环境空气污染与日死亡率:因果模型研究。

IF 24.1 1区 医学 Q1 ENVIRONMENTAL SCIENCES Lancet Planetary Health Pub Date : 2024-07-01 DOI:10.1016/S2542-5196(24)00114-1
Jeroen de Bont PhD , Bhargav Krishna DrPH , Massimo Stafoggia PhD , Tirthankar Banerjee PhD , Hem Dholakia PhD , Amit Garg PhD , Vijendra Ingole PhD , Suganthi Jaganathan MPH , Prof Itai Kloog PhD , Kevin Lane PhD , Rajesh Kumar Mall PhD , Siddhartha Mandal PhD , Prof Amruta Nori-Sarma PhD , Prof Dorairaj Prabhakaran DM , Ajit Rajiva MESc , Abhiyant Suresh Tiwari MPH , Yaguang Wei PhD , Prof Gregory A Wellenius PhD , Prof Joel Schwartz PhD , Poornima Prabhakaran PhD , Petter Ljungman PhD
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引用次数: 0

摘要

背景:尽管印度的空气污染浓度极高,但有关空气污染对死亡率的急性影响的证据却很少。这是印度首次进行多城市研究,采用因果关系法研究 PM2-5 短期暴露与每日死亡率之间的关系,突出了当地产生的空气污染的重要性:我们在 2008 年至 2019 年期间对印度的十个城市进行了时间序列分析。我们使用一种新型混合全国时空模型评估了整个城市的 PM2-5 日浓度,并使用广义加性泊松回归模型估算了 PM2-5 对特定城市的影响。然后对特定城市的结果进行荟萃分析。我们采用了一种工具变量因果关系方法(包括行星边界层高度、风速和大气压力)来评估本地产生的空气污染对死亡率的因果效应。我们通过对特定城市的暴露-反应曲线进行多元元回归,得到了一条综合暴露-反应曲线,并计算了空气污染浓度超过世界卫生组织现行的 24 小时环境 PM2-5 指南(15 微克/立方米)所导致的死亡比例。为了探索较低暴露量下暴露-反应曲线的形状,我们进一步将分析限制在浓度低于印度现行标准(60 μg/m3)的日子:我们发现,PM2-5 的 2 天移动平均值每增加 10 微克/立方米,日死亡率就会增加 1-4%(95% CI 0-7-2-2)。在代表本地产生的空气污染影响的因果工具变量分析中,我们观察到与日死亡率的关联(3-6% [2-1-5-0])比我们的总体估计值更强。我们的综合暴露-反应曲线显示,暴露水平越低,斜率越陡,暴露水平越高,斜率越小。当我们将分析范围限制在低于印度空气质量标准的观测值时,我们发现每增加 10 μg/m3 的死亡风险要高出两倍(2-7% [1-7-3-6])。利用综合暴露-反应曲线,我们观察到,在所有每日死亡病例中,有7-2%(4-2%-10-1%)是由于PM2-5浓度高于世界卫生组织的指导标准:短期接触 PM2-5 与印度的高死亡风险有关,即使浓度远低于印度目前的 PM2-5 标准。与传统的时间序列分析相比,通过因果建模方法量化的当地产生的空气污染物的这些关联性更强,这进一步支持了可信的因果联系:瑞典可持续发展研究理事会。
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Ambient air pollution and daily mortality in ten cities of India: a causal modelling study

Background

The evidence for acute effects of air pollution on mortality in India is scarce, despite the extreme concentrations of air pollution observed. This is the first multi-city study in India that examines the association between short-term exposure to PM2·5 and daily mortality using causal methods that highlight the importance of locally generated air pollution.

Methods

We applied a time-series analysis to ten cities in India between 2008 and 2019. We assessed city-wide daily PM2·5 concentrations using a novel hybrid nationwide spatiotemporal model and estimated city-specific effects of PM2·5 using a generalised additive Poisson regression model. City-specific results were then meta-analysed. We applied an instrumental variable causal approach (including planetary boundary layer height, wind speed, and atmospheric pressure) to evaluate the causal effect of locally generated air pollution on mortality. We obtained an integrated exposure–response curve through a multivariate meta-regression of the city-specific exposure–response curve and calculated the fraction of deaths attributable to air pollution concentrations exceeding the current WHO 24 h ambient PM2·5 guideline of 15 μg/m3. To explore the shape of the exposure–response curve at lower exposures, we further limited the analyses to days with concentrations lower than the current Indian standard (60 μg/m3).

Findings

We observed that a 10 μg/m3 increase in 2-day moving average of PM2·5 was associated with 1·4% (95% CI 0·7–2·2) higher daily mortality. In our causal instrumental variable analyses representing the effect of locally generated air pollution, we observed a stronger association with daily mortality (3·6% [2·1–5·0]) than our overall estimate. Our integrated exposure–response curve suggested steeper slopes at lower levels of exposure and an attenuation of the slope at high exposure levels. We observed two times higher risk of death per 10 μg/m3 increase when restricting our analyses to observations below the Indian air quality standard (2·7% [1·7–3·6]). Using the integrated exposure–response curve, we observed that 7·2% (4·2%–10·1%) of all daily deaths were attributed to PM2·5 concentrations higher than the WHO guidelines.

Interpretation

Short-term PM2·5 exposure was associated with a high risk of death in India, even at concentrations well below the current Indian PM2·5 standard. These associations were stronger for locally generated air pollutants quantified through causal modelling methods than conventional time-series analysis, further supporting a plausible causal link.

Funding

Swedish Research Council for Sustainable Development.

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来源期刊
CiteScore
28.40
自引率
2.30%
发文量
272
审稿时长
8 weeks
期刊介绍: The Lancet Planetary Health is a gold Open Access journal dedicated to investigating and addressing the multifaceted determinants of healthy human civilizations and their impact on natural systems. Positioned as a key player in sustainable development, the journal covers a broad, interdisciplinary scope, encompassing areas such as poverty, nutrition, gender equity, water and sanitation, energy, economic growth, industrialization, inequality, urbanization, human consumption and production, climate change, ocean health, land use, peace, and justice. With a commitment to publishing high-quality research, comment, and correspondence, it aims to be the leading journal for sustainable development in the face of unprecedented dangers and threats.
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