Mihir Adhikary, Nandita Saikia, Pallav Purohit, Vladimir Canudas-Romo, Wolfgang Schöpp
{"title":"印度的空气污染与死亡率:印度的空气污染与死亡率:调查生命各阶段环境污染与家庭污染的联系》,《印度科学院学报》,2011 年第 3 期。","authors":"Mihir Adhikary, Nandita Saikia, Pallav Purohit, Vladimir Canudas-Romo, Wolfgang Schöpp","doi":"10.1029/2023GH000968","DOIUrl":null,"url":null,"abstract":"<p>Air pollution in India is a foremost environmental risk factor that affects human health. This study first investigates the geographical distribution of ambient and household air pollution (HAP) and then examines the associated mortality risk. Data on fine particulate matter (PM<sub>2.5</sub>) concentration has been extracted from the Greenhouse Gas Air Pollution Interactions and Synergies (GAINS) model. HAP, mortality and socio-demographic data were extracted from the National Family and Health Survey-5, India, 2019–2021. Regression models were applied to see the difference in age-group mortality by different pollution parameters. The districts with PM<sub>2.5</sub> concentration above the National Ambient Air Quality Standard (NAAQS) level of 40 μg/m<sup>3</sup> show a higher risk of neonatal (OR-1.86, CI 1.418–2.433), postneonatal (OR-2.04, CI 1.399–2.971), child (OR-2.19, CI 0.999–4.803) and adult death (OR-1.13, CI 1.060–1.208). The absence of a separate kitchen shows a higher probability of neonatal (OR: 1.18, CI 1.074–1.306) and adult death (OR-1.06, CI 1.027–1.088). The interaction between PM<sub>2.5</sub> levels above NAAQS and HAP leads to a substantial rise in mortality observed for neonatal (OR 1.19 CI 1.051–1.337), child (OR 1.17 CI 1.054–1.289), and adult (OR 1.13 CI 1.096–1.168) age groups. This study advocates that there is a strong positive association between ambient and HAP and mortality risk. PM<sub>2.5</sub> pollution significantly contributes to the mortality risk in all age groups. Children are more vulnerable to HAP than adults. In India, policymakers should focus on reducing the anthropogenic PM<sub>2.5</sub> emission at least to reach the NAAQS, which can substantially reduce disease burden and, more precisely, mortality.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 8","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333718/pdf/","citationCount":"0","resultStr":"{\"title\":\"Air Pollution and Mortality in India: Investigating the Nexus of Ambient and Household Pollution Across Life Stages\",\"authors\":\"Mihir Adhikary, Nandita Saikia, Pallav Purohit, Vladimir Canudas-Romo, Wolfgang Schöpp\",\"doi\":\"10.1029/2023GH000968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Air pollution in India is a foremost environmental risk factor that affects human health. This study first investigates the geographical distribution of ambient and household air pollution (HAP) and then examines the associated mortality risk. Data on fine particulate matter (PM<sub>2.5</sub>) concentration has been extracted from the Greenhouse Gas Air Pollution Interactions and Synergies (GAINS) model. HAP, mortality and socio-demographic data were extracted from the National Family and Health Survey-5, India, 2019–2021. Regression models were applied to see the difference in age-group mortality by different pollution parameters. The districts with PM<sub>2.5</sub> concentration above the National Ambient Air Quality Standard (NAAQS) level of 40 μg/m<sup>3</sup> show a higher risk of neonatal (OR-1.86, CI 1.418–2.433), postneonatal (OR-2.04, CI 1.399–2.971), child (OR-2.19, CI 0.999–4.803) and adult death (OR-1.13, CI 1.060–1.208). The absence of a separate kitchen shows a higher probability of neonatal (OR: 1.18, CI 1.074–1.306) and adult death (OR-1.06, CI 1.027–1.088). The interaction between PM<sub>2.5</sub> levels above NAAQS and HAP leads to a substantial rise in mortality observed for neonatal (OR 1.19 CI 1.051–1.337), child (OR 1.17 CI 1.054–1.289), and adult (OR 1.13 CI 1.096–1.168) age groups. This study advocates that there is a strong positive association between ambient and HAP and mortality risk. PM<sub>2.5</sub> pollution significantly contributes to the mortality risk in all age groups. Children are more vulnerable to HAP than adults. In India, policymakers should focus on reducing the anthropogenic PM<sub>2.5</sub> emission at least to reach the NAAQS, which can substantially reduce disease burden and, more precisely, mortality.</p>\",\"PeriodicalId\":48618,\"journal\":{\"name\":\"Geohealth\",\"volume\":\"8 8\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333718/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geohealth\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2023GH000968\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geohealth","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2023GH000968","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Air Pollution and Mortality in India: Investigating the Nexus of Ambient and Household Pollution Across Life Stages
Air pollution in India is a foremost environmental risk factor that affects human health. This study first investigates the geographical distribution of ambient and household air pollution (HAP) and then examines the associated mortality risk. Data on fine particulate matter (PM2.5) concentration has been extracted from the Greenhouse Gas Air Pollution Interactions and Synergies (GAINS) model. HAP, mortality and socio-demographic data were extracted from the National Family and Health Survey-5, India, 2019–2021. Regression models were applied to see the difference in age-group mortality by different pollution parameters. The districts with PM2.5 concentration above the National Ambient Air Quality Standard (NAAQS) level of 40 μg/m3 show a higher risk of neonatal (OR-1.86, CI 1.418–2.433), postneonatal (OR-2.04, CI 1.399–2.971), child (OR-2.19, CI 0.999–4.803) and adult death (OR-1.13, CI 1.060–1.208). The absence of a separate kitchen shows a higher probability of neonatal (OR: 1.18, CI 1.074–1.306) and adult death (OR-1.06, CI 1.027–1.088). The interaction between PM2.5 levels above NAAQS and HAP leads to a substantial rise in mortality observed for neonatal (OR 1.19 CI 1.051–1.337), child (OR 1.17 CI 1.054–1.289), and adult (OR 1.13 CI 1.096–1.168) age groups. This study advocates that there is a strong positive association between ambient and HAP and mortality risk. PM2.5 pollution significantly contributes to the mortality risk in all age groups. Children are more vulnerable to HAP than adults. In India, policymakers should focus on reducing the anthropogenic PM2.5 emission at least to reach the NAAQS, which can substantially reduce disease burden and, more precisely, mortality.
期刊介绍:
GeoHealth will publish original research, reviews, policy discussions, and commentaries that cover the growing science on the interface among the Earth, atmospheric, oceans and environmental sciences, ecology, and the agricultural and health sciences. The journal will cover a wide variety of global and local issues including the impacts of climate change on human, agricultural, and ecosystem health, air and water pollution, environmental persistence of herbicides and pesticides, radiation and health, geomedicine, and the health effects of disasters. Many of these topics and others are of critical importance in the developing world and all require bringing together leading research across multiple disciplines.