印度十个城市的环境空气污染和每日死亡率:因果建模研究
Jeroen de Bont1, Bhargav Krishna2, Massimo Stafoggia3
1Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
The Lancet. Planetary health
|July 5, 2024
概括
短期暴露于细颗粒物 (PM2.5) 在印度显著增加了每日死亡风险. 因果分析显示,当地产生的空气污染构成更大的威胁,即使在低于印度标准的水平.
科学领域:
- 环境健康 环境健康
- 流行病学 流行病学
- 毒理学 毒理学 毒理学
背景情况:
- 关于急性空气污染对印度死亡率的影响的证据有限,尽管污染水平极高.
- 这项研究是印度首次使用因果方法对短期PM2.5暴露和每日死亡率进行多城市调查.
- 它强调了当地产生的空气污染的关键作用.
研究的目的:
- 检查印度十个城市中短期暴露于PM2.5和每日死亡率之间的关联.
- 用仪器变量分析评估局部产生的空气污染对死亡率的因果关系.
- 确定因PM2.5度超过世卫组织指导方针而导致的死亡的比例.
主要方法:
- 从2008年至2019年在印度十个城市进行的时间序列分析.
- 评估PM2.5度使用一种新的混合全国空间时空模型.
- 通过仪器变量方法 (行星边界层高度,风速,大气压) 和通用添加式波桑回归使用因果推断.
主要成果:
- 在PM2.5中增加10μg/m3与每日死亡率上升1.4%有关.
- 对当地产生的污染的因果分析显示,与每日死亡率有更强烈的关联 (3.6%).
- 7.2%的每日死亡被归因于超过世卫组织指导方针的PM2.5,在印度标准以下观察到的风险更高.
结论:
- 短期的PM2.5暴露在印度造成了显著的死亡风险,甚至低于国家标准.
- 因果模型表明,局部产生的空气污染具有更强大的影响,支持因果关系.
- 这些发现强调了印度迫切需要更严格的空气质量管理.
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