Center on Food Security and the Environment, Stanford University, Stanford, CA, USA.
School of Global Policy and Strategy, University of California, San Diego, San Diego, CA, USA.
Nature. 2018 Jul;559(7713):254-258. doi: 10.1038/s41586-018-0263-3. Epub 2018 Jun 27.
Poor air quality is thought to be an important mortality risk factor globally, but there is little direct evidence from the developing world on how mortality risk varies with changing exposure to ambient particulate matter. Current global estimates apply exposure-response relationships that have been derived mostly from wealthy, mid-latitude countries to spatial population data, and these estimates remain unvalidated across large portions of the globe. Here we combine household survey-based information on the location and timing of nearly 1 million births across sub-Saharan Africa with satellite-based estimates of exposure to ambient respirable particulate matter with an aerodynamic diameter less than 2.5 μm (PM) to estimate the impact of air quality on mortality rates among infants in Africa. We find that a 10 μg m increase in PM concentration is associated with a 9% (95% confidence interval, 4-14%) rise in infant mortality across the dataset. This effect has not declined over the last 15 years and does not diminish with higher levels of household wealth. Our estimates suggest that PM concentrations above minimum exposure levels were responsible for 22% (95% confidence interval, 9-35%) of infant deaths in our 30 study countries and led to 449,000 (95% confidence interval, 194,000-709,000) additional deaths of infants in 2015, an estimate that is more than three times higher than existing estimates that attribute death of infants to poor air quality for these countries. Upward revision of disease-burden estimates in the studied countries in Africa alone would result in a doubling of current estimates of global deaths of infants that are associated with air pollution, and modest reductions in African PM exposures are predicted to have health benefits to infants that are larger than most known health interventions.
空气质量差被认为是全球一个重要的死亡风险因素,但发展中国家几乎没有直接证据表明,随着环境中颗粒物暴露量的变化,死亡率风险会如何变化。目前的全球估计值应用了暴露反应关系,这些关系主要是从富裕的中纬度国家推导出来的,并应用于空间人口数据,而这些估计值在全球很大一部分地区仍然未经验证。在这里,我们结合了撒哈拉以南非洲地区近 100 万次分娩的位置和时间的基于家庭调查的信息,以及基于卫星的环境可吸入颗粒物(PM)暴露估计值,该值的空气动力学直径小于 2.5μm(PM),以估计空气质量对非洲婴儿死亡率的影响。我们发现,PM 浓度增加 10μg/m 与数据集内婴儿死亡率上升 9%(95%置信区间,4-14%)相关。这一影响在过去 15 年内并未减弱,并且不会随着家庭财富水平的提高而减弱。我们的估计表明,在我们的 30 个研究国家中,高于最低暴露水平的 PM 浓度导致了 22%(95%置信区间,9-35%)的婴儿死亡,并且在 2015 年导致了 44.9 万(95%置信区间,19.4 万-70.9 万)名婴儿的额外死亡,这一估计值是现有归因于这些国家空气质量差导致婴儿死亡的估计值的三倍多。仅在非洲研究国家中对疾病负担估计值进行向上修正,就会使与空气污染相关的全球婴儿死亡估计值增加一倍,并且预计减少非洲 PM 暴露将对婴儿健康产生比大多数已知健康干预措施更大的益处。