Suganthi Jaganathan, Massimo Stafoggia, Ajit Rajiva, Siddhartha Mandal, Shweta Dixit, Jeroen de Bont, Gregory A Wellenius, Kevin J Lane, Amruta Nori-Sarma, Itai Kloog, Dorairaj Prabhakaran, Poornima Prabhakaran, Joel Schwartz, Petter Ljungman
{"title":"估算印度每年 PM2-5 暴露对死亡率的影响:差分法。","authors":"Suganthi Jaganathan, Massimo Stafoggia, Ajit Rajiva, Siddhartha Mandal, Shweta Dixit, Jeroen de Bont, Gregory A Wellenius, Kevin J Lane, Amruta Nori-Sarma, Itai Kloog, Dorairaj Prabhakaran, Poornima Prabhakaran, Joel Schwartz, Petter Ljungman","doi":"10.1016/S2542-5196(24)00248-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Findings: </strong>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.</p><p><strong>Interpretation: </strong>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.</p><p><strong>Funding: </strong>Swedish Research Council for Sustainable Development.</p>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"8 12","pages":"e987-e996"},"PeriodicalIF":24.1000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the effect of annual PM<sub>2·5</sub> exposure on mortality in India: a difference-in-differences approach.\",\"authors\":\"Suganthi Jaganathan, Massimo Stafoggia, Ajit Rajiva, Siddhartha Mandal, Shweta Dixit, Jeroen de Bont, Gregory A Wellenius, Kevin J Lane, Amruta Nori-Sarma, Itai Kloog, Dorairaj Prabhakaran, Poornima Prabhakaran, Joel Schwartz, Petter Ljungman\",\"doi\":\"10.1016/S2542-5196(24)00248-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Findings: </strong>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.</p><p><strong>Interpretation: </strong>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.</p><p><strong>Funding: </strong>Swedish Research Council for Sustainable Development.</p>\",\"PeriodicalId\":48548,\"journal\":{\"name\":\"Lancet Planetary Health\",\"volume\":\"8 12\",\"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://doi.org/10.1016/S2542-5196(24)00248-1\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lancet Planetary Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/S2542-5196(24)00248-1","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
摘要
背景:2019年,《全球疾病、伤害和风险因素负担研究》根据空气污染水平低的国家可能不适当的暴露反应函数,将印度0.98亿人的死亡归因于环境空气污染。相反,我们使用来自印度的数据,用因果推理方法调查了长期暴露于PM2·5和全因死亡率。方法:收集2009 - 2019年全国各区年死亡率统计数据,以计算各区年死亡率为主要结果,并通过高分辨率时空模型获得年度PM2·5浓度。我们通过使用准泊松分布的广义加性模型,包括指标变量和空间行政区划的独立时间趋势,应用了一个扩展版本的差中差设计。利用全国范围内以1 km × 1 km空间分辨率获取的PM2·5浓度计算年平均区级PM2·5浓度。同样,我们在地区一级收集混杂因素,如季度温度的平均值和标准差、人均国内生产总值、60岁或以上人口、清洁烹饪燃料的使用、妇女识字率和年龄中位数。分析的空间单位为行政区划。结果:年人口加权pmm2·5中位数为38.9 μg/m3(5-95百分位19.7 - 71.8 μg/m3);全部人口居住在pm2.5浓度超过世卫组织指南建议的5 μg/m3年平均值的地区,14亿人口中有11亿人(占总人口的81.9%)居住在高于印度国家环境空气质量标准的地区,pm2.5年平均值不超过40 μg/m3。年pm5浓度每增加10 μg/m3,年死亡率增加8.6% (95% CI 6.4 ~ 10.8)。根据印度国家环境空气质量标准,2009年至2019年期间,共有380万例(95% CI 2.9 - 4.9)死亡可归因于pmm2·5,占总死亡率的5.0%(3.8 - 6.4)。根据世卫组织指南,共有1660万(13.0 ~ 21.8)例死亡可归因于pm2.5,占总死亡率的24.9%(19.5 ~ 32.5)。解释:我们采用的“差异中的差异”方法使我们能够评估世界上人口最多、空气污染严重的国家的全部登记死亡人数。我们提供了长期PM2·5增加死亡风险的新证据,这强调了更严格的监管标准的必要性,以潜在地大幅降低印度的死亡率。资助:瑞典可持续发展研究理事会。
Estimating the effect of annual PM2·5 exposure on mortality in India: a difference-in-differences approach.
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.