Adhikary Mihir, Saikia Nandita, Purohit Pallav, Canudas-Romo Vladimir, Schöpp Wolfgang
Department of Public Health and Mortality Studies International Institute for Population Sciences Mumbai Maharashtra India.
Pollution Management Research Group Energy, Climate and Environment (ECE) Program International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria.
Geohealth. 2024 Aug 19;8(8):e2023GH000968. doi: 10.1029/2023GH000968. eCollection 2024 Aug.
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) 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 concentration above the National Ambient Air Quality Standard (NAAQS) level of 40 μg/m 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 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 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 emission at least to reach the NAAQS, which can substantially reduce disease burden and, more precisely, mortality.
印度的空气污染是影响人类健康的首要环境风险因素。本研究首先调查环境空气污染和家庭空气污染(HAP)的地理分布,然后研究与之相关的死亡风险。细颗粒物(PM)浓度数据取自温室气体空气污染相互作用与协同效应(GAINS)模型。HAP、死亡率和社会人口统计学数据取自2019 - 2021年印度全国家庭健康调查-5。应用回归模型来观察不同污染参数在不同年龄组死亡率上的差异。PM浓度高于国家环境空气质量标准(NAAQS)水平40μg/m³的地区,新生儿(OR = 1.86,CI 1.418 - 2.433)、新生儿后期(OR = 2.04,CI 1.399 - 2.971)、儿童(OR = 2.19,CI 0.999 - 4.803)和成人死亡(OR = 1.13,CI 1.060 - 1.208)的风险更高。没有独立厨房显示新生儿(OR:1.18,CI 1.074 - 1.306)和成人死亡(OR = 1.06,CI 1.027 - 1.088)的可能性更高。高于NAAQS的PM水平与HAP之间的相互作用导致新生儿(OR 1.19 CI 1.051 - 1.337)、儿童(OR 1.17 CI 1.054 - 1.289)和成人(OR 1.13 CI 1.096 - 1.168)年龄组的死亡率大幅上升。本研究主张环境空气污染和HAP与死亡风险之间存在很强的正相关。PM污染在所有年龄组中都对死亡风险有显著贡献。儿童比成人更容易受到HAP的影响。在印度,政策制定者应专注于将人为PM排放至少降低到达到NAAQS的水平,这可以大幅减轻疾病负担,更确切地说是降低死亡率。