インドの高濃度大気汚染は死因の多くを占める(India’s high air pollution counts for a large share of deaths)

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2024-07-04 カロリンスカ研究所(KI)

インドにおける空気汚染は、死亡原因の7%に寄与し、国家基準値以下でも高い死亡率を示しています。カロリンスカ研究所などの研究によると、インドの主要10都市でのPM2.5(直径2.5マイクロメートル未満の微粒子)と死亡率の関連を分析しました。その結果、年間約33,000人の死亡がWHOの基準値を超えるPM2.5レベルに関連していました。特にデリーで最も高い死亡率が見られました。局所的な汚染源がより有害であることから、地域と全国的な対策が必要です。研究は国際的な協力で行われ、インドの基準値見直しの必要性が示唆されています。

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インドの10都市における大気汚染と1日の死亡率:因果関係モデリング研究 Ambient air pollution and daily mortality in ten cities of India: a causal modelling study

Jeroen de Bont, PhD ;Bhargav Krishna, DrPH ;Massimo Stafoggia, PhD;Tirthankar Banerjee, PhD;Hem Dholakia, PhD;Amit Garg, PhD;et al.
The Lancet Planetary Health  Published:July, 2024
DOI:https://doi.org/10.1016/S2542-5196(24)00114-1

インドの高濃度大気汚染は死因の多くを占める(India’s high air pollution counts for a large share of deaths)

Summary

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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