在印度德里,每日非意外死亡率与短期PM2.5暴露有关。

IF 3.3 Q2 ENVIRONMENTAL SCIENCES
Environmental Epidemiology Pub Date : 2021-08-06 eCollection Date: 2021-08-01 DOI:10.1097/EE9.0000000000000167
Bhargav Krishna, Siddhartha Mandal, Kishore Madhipatla, K Srinath Reddy, Dorairaj Prabhakaran, Joel D Schwartz
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引用次数: 11

摘要

德里的空气动力学直径小于2.5微米的环境颗粒物(PM2.5)水平经常超过世界卫生组织(世卫组织)的指导方针和印度国家环境空气质量标准(NAAQS)的可接受日暴露水平。在印度,只有少数研究调查了PM对短期死亡率的影响,而德里没有研究PM2.5的贡献。目的:我们旨在分析短期PM2.5暴露与印度德里每日非意外死亡率之间的关系。方法:利用广义加性泊松回归模型,研究了2010年6月至2016年12月PM2.5日暴露量与非意外死亡率之间的关系。使用本研究组开发的整体平均技术估算PM2.5的每日暴露量,并从德里市政公司和新德里市政委员会获得死亡率数据。结果:PM2.5暴露中位数为91.1µg/m3(四分位数间距为68.9,126.2),最小和最大暴露量分别为21.4µg/m3和276.7µg/m3。在研究期间,德里记录的非意外死亡总数为700,512人。暴露量每增加25µg/m3,研究人群每日非意外死亡率增加0.8%(95%可信区间[CI] = 0.3, 1.3%), 60岁及以上人群死亡率增加1.5% (95% CI = 0.8, 2.2%)。暴露-反应关系本质上是非线性的,相对风险迅速上升,在125µg/m3以上逐渐减小。在研究期间达到世卫组织关于可接受暴露水平的指导方针,可能会避免17526例(95% CI = 6837,25,589)例过早死亡,其中老年人和男性人群受到的影响尤为严重。讨论:本研究为短期暴露于PM2.5对非意外死亡率的影响提供了强有力的证据,并为包括政策制定者和医生在内的各种利益相关者提供了重要的考虑因素。最重要的是,我们发现将暴露量大幅降低到当前水平以下将大大降低与PM2.5相关的死亡率负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Daily nonaccidental mortality associated with short-term PM<sub>2.5</sub> exposures in Delhi, India.

Daily nonaccidental mortality associated with short-term PM<sub>2.5</sub> exposures in Delhi, India.

Daily nonaccidental mortality associated with short-term PM<sub>2.5</sub> exposures in Delhi, India.

Daily nonaccidental mortality associated with short-term PM2.5 exposures in Delhi, India.

Ambient particulate matter of aerodynamic diameter less than 2.5 microns PM2.5) levels in Delhi routinely exceed World Health Organization (WHO) guidelines and Indian National Ambient Air Quality Standards (NAAQS) for acceptable levels of daily exposure. Only a handful of studies have examined the short-term mortality effects of PM in India, with none from Delhi examining the contribution of PM2.5.

Objectives: We aimed to analyze the association between short-term PM2.5 exposures and daily nonaccidental mortality in Delhi, India.

Methods: Using generalized additive Poisson regression models, we examined the association between daily PM2.5 exposures and nonaccidental mortality between June 2010 and December 2016. Daily exposures to PM2.5 were estimated using an ensemble averaging technique developed by our research group, and mortality data were obtained from the Municipal Corporations of Delhi and the New Delhi Municipal Council.

Results: Median exposures to PM2.5 were 91.1 µg/m3 (interquartile range = 68.9, 126.2), with minimum and maximum exposures of 21.4 µg/m3 and 276.7 µg/m3, respectively. Total nonaccidental deaths recorded in Delhi during the study period were 700,512. Each 25 µg/m3 increment in exposure was associated with a 0.8% (95% confidence intervals [CI] = 0.3, 1.3%) increase in daily nonaccidental mortality in the study population and a 1.5% (95% CI = 0.8, 2.2%) increase in mortality among those with 60 years of age or over. The exposure-response relationship was nonlinear in nature, with relative risk rising rapidly before tapering off above 125 µg/m3. Meeting WHO guidelines for acceptable levels of exposure over the study period would have likely averted 17,526 (95% CI = 6,837, 25,589) premature deaths, with older and male populations disproportionately affected.

Discussion: This study provides robust evidence of the impact of short-term exposure to PM2.5 on nonaccidental mortality with important considerations for various stakeholders including policymakers and physicians. Most importantly, we find that reducing exposures significantly below current levels would substantially decrease the mortality burden associated with PM2.5.

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来源期刊
Environmental Epidemiology
Environmental Epidemiology Medicine-Public Health, Environmental and Occupational Health
CiteScore
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2.80%
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71
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25 weeks
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