{"title":"Estimating the effect of annual PM2·5 exposure on mortality in India: a difference-in-differences approach","authors":"Suganthi Jaganathan MPH , Massimo Stafoggia PhD , Ajit Rajiva MESc , Siddhartha Mandal PhD , Shweta Dixit PhD , Jeroen de Bont PhD , Prof Gregory A Wellenius ScD , Kevin J Lane PhD , Amruta Nori-Sarma PhD , Prof Itai Kloog PhD , Prof Dorairaj Prabhakaran DM , Poornima Prabhakaran PhD , Prof Joel Schwartz PhD , Petter Ljungman PhD","doi":"10.1016/S2542-5196(24)00248-1","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>In 2019, the Global Burden of Diseases, Injuries, and Risk Factors Study attributed 0·98 million deaths to ambient air pollution in India based on potentially inappropriate exposure–response functions from countries with low air pollution levels. Instead, using data from India, we investigated long-term exposure to PM<sub>2·5</sub> and all-cause mortality with a causal inference method.</div></div><div><h3>Methods</h3><div>We collected national counts of annual mortality from 2009 to 2019 from the Civil Registration System at the district level to calculate annual district-level mortality rate as our main outcome and obtained annual PM<sub>2·5</sub> concentrations from a high-resolution spatiotemporal model. We applied an extended version of the difference-in-differences design by use of generalised additive models with quasi-Poisson distribution, including indicator variables and separate time trends for spatial administrative divisions. PM<sub>2·5</sub> concentrations obtained at 1 km × 1 km spatial resolution across the country were used to calculate annual district-level mean PM<sub>2·5</sub> concentrations. Similarly, we collected confounders at the district level, such as mean and SD of quarterly temperatures, gross domestic product per capita, population aged 60 years or older, clean cooking fuel usage, literacy in women, and median age. The spatial unit of analysis was administrative division.</div></div><div><h3>Findings</h3><div>The annual median population-weighted PM<sub>2·5</sub> was 38·9 μg/m<sup>3</sup> (5–95th percentile 19·7–71·8 μg/m<sup>3</sup>). The full population lived in areas with PM<sub>2·5</sub> concentrations exceeding the 5 μg/m<sup>3</sup> annual mean recommended in the WHO guidelines, and 1·1 billion of 1·4 billion (81·9% of the total population) lived in areas above the Indian National Ambient Air Quality Standards for annual mean PM<sub>2·5</sub> not exceeding 40 μg/m<sup>3</sup>. A 10 μg/m<sup>3</sup> increase in annual PM<sub>2·5</sub> concentration was associated with an 8·6% (95% CI 6·4–10·8) higher annual mortality. Based on the Indian National Ambient Air Quality Standards, a total of 3·8 million (95% CI 2·9–4·9) deaths between 2009 and 2019 were attributable to PM<sub>2·5</sub>, amounting to 5·0% (3·8–6·4) of total mortality. Based on the WHO guidelines, a total of 16·6 million (13·0–21·8) deaths were attributable to PM<sub>2·5</sub>, amounting to 24·9% (19·5–32·5) of total mortality.</div></div><div><h3>Interpretation</h3><div>Our difference-in-differences approach allowed us to assess the full extent of registered deaths in the most populated country in the world, which has high levels of air pollution. We provide new evidence of increased mortality risk from long-term PM<sub>2·5</sub>, which emphasises the need for tighter regulatory standards to potentially substantially reduce mortality across India.</div></div><div><h3>Funding</h3><div>Swedish Research Council for Sustainable Development.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"8 12","pages":"Pages e987-e996"},"PeriodicalIF":24.1000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lancet Planetary Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542519624002481","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
In 2019, the Global Burden of Diseases, Injuries, and Risk Factors Study attributed 0·98 million deaths to ambient air pollution in India based on potentially inappropriate exposure–response functions from countries with low air pollution levels. Instead, using data from India, we investigated long-term exposure to PM2·5 and all-cause mortality with a causal inference method.
Methods
We collected national counts of annual mortality from 2009 to 2019 from the Civil Registration System at the district level to calculate annual district-level mortality rate as our main outcome and obtained annual PM2·5 concentrations from a high-resolution spatiotemporal model. We applied an extended version of the difference-in-differences design by use of generalised additive models with quasi-Poisson distribution, including indicator variables and separate time trends for spatial administrative divisions. PM2·5 concentrations obtained at 1 km × 1 km spatial resolution across the country were used to calculate annual district-level mean PM2·5 concentrations. Similarly, we collected confounders at the district level, such as mean and SD of quarterly temperatures, gross domestic product per capita, population aged 60 years or older, clean cooking fuel usage, literacy in women, and median age. The spatial unit of analysis was administrative division.
Findings
The annual median population-weighted PM2·5 was 38·9 μg/m3 (5–95th percentile 19·7–71·8 μg/m3). The full population lived in areas with PM2·5 concentrations exceeding the 5 μg/m3 annual mean recommended in the WHO guidelines, and 1·1 billion of 1·4 billion (81·9% of the total population) lived in areas above the Indian National Ambient Air Quality Standards for annual mean PM2·5 not exceeding 40 μg/m3. A 10 μg/m3 increase in annual PM2·5 concentration was associated with an 8·6% (95% CI 6·4–10·8) higher annual mortality. Based on the Indian National Ambient Air Quality Standards, a total of 3·8 million (95% CI 2·9–4·9) deaths between 2009 and 2019 were attributable to PM2·5, amounting to 5·0% (3·8–6·4) of total mortality. Based on the WHO guidelines, a total of 16·6 million (13·0–21·8) deaths were attributable to PM2·5, amounting to 24·9% (19·5–32·5) of total mortality.
Interpretation
Our difference-in-differences approach allowed us to assess the full extent of registered deaths in the most populated country in the world, which has high levels of air pollution. We provide new evidence of increased mortality risk from long-term PM2·5, which emphasises the need for tighter regulatory standards to potentially substantially reduce mortality across India.
Funding
Swedish Research Council for Sustainable Development.
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.