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Particulate matter air pollution and national and county life expectancy loss in the USA: A spatiotemporal analysis

机译:美国的颗粒物空气污染与国家和县的预期寿命损失:时空分析

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Background Exposure to fine particulate matter pollution (PMsub2.5/sub) is hazardous to health. Our aim was to directly estimate the health and longevity impacts of current PMsub2.5/sub concentrations and the benefits of reductions from 1999 to 2015, nationally and at county level, for the entire contemporary population of the contiguous United States. Methods and findings We used vital registration and population data with information on sex, age, cause of death, and county of residence. We used four Bayesian spatiotemporal models, with different adjustments for other determinants of mortality, to directly estimate mortality and life expectancy loss due to current PMsub2.5/sub pollution and the benefits of reductions since 1999, nationally and by county. The covariates included in the adjusted models were per capita income; percentage of population whose family income is below the poverty threshold, who are of Black or African American race, who have graduated from high school, who live in urban areas, and who are unemployed; cumulative smoking; and mean temperature and relative humidity. In the main model, which adjusted for these covariates and for unobserved county characteristics through the use of county-specific random intercepts, PMsub2.5/sub pollution in excess of the lowest observed concentration (2.8 μg/msup3/sup) was responsible for an estimated 15,612 deaths (95% credible interval 13,248–17,945) in females and 14,757 deaths (12,617–16,919) in males. These deaths would lower national life expectancy by an estimated 0.15 years (0.13–0.17) for women and 0.13 years (0.11–0.15) for men. The life expectancy loss due to PMsub2.5/sub was largest around Los Angeles and in some southern states such as Arkansas, Oklahoma, and Alabama. At any PMsub2.5/sub concentration, life expectancy loss was, on average, larger in counties with lower income and higher poverty rate than in wealthier counties. Reductions in PMsub2.5/sub since 1999 have lowered mortality in all but 14 counties where PMsub2.5/sub increased slightly. The main limitation of our study, similar to other observational studies, is that it is not guaranteed for the observed associations to be causal. We did not have annual county-level data on other important determinants of mortality, such as healthcare access and quality and diet, but these factors were adjusted for with use of county-specific random intercepts. Conclusions According to our estimates, recent reductions in particulate matter pollution in the USA have resulted in public health benefits. Nonetheless, we estimate that current concentrations are associated with mortality impacts and loss of life expectancy, with larger impacts in counties with lower income and higher poverty rate.
机译:背景技术暴露于细颗粒物污染(PM 2.5 )对健康有害。我们的目标是直接估算全国范围内和县范围内当前PM 2.5 浓度对健康和寿命的影响以及从1999年到2015年减少的收益对整个美国连续人口的影响。方法和发现我们使用人口动态登记和人口数据以及有关性别,年龄,死亡原因和居住县的信息。我们使用了四个贝叶斯时空模型,对死亡率的其他决定因素进行了不同的调整,以直接估算当前PM 2.5 污染造成的死亡率和预期寿命损失,以及自1999年以来全国和各县的减排收益。调整后模型中的协变量是人均收入;家庭收入低于贫困线,是黑人或非裔美国人,高中毕业,居住在城市中以及失业的人口百分比;累积吸烟;平均温度和相对湿度。在主要模型中,通过使用特定于县域的随机截距对这些协变量和未观察到的县域特征进行了调整,PM 2.5 污染超出最低观测浓度(2.8μg/ m 3 )导致女性死亡15,612人(95%可信区间13,248–17,945),男性死亡14,757例死亡(12,617–16,919)。这些死亡将使女性的国民平均寿命降低0.15年(0.13-0.17),而男性则降低0.13年(0.11-0.15)。 PM 2.5 导致的预期寿命损失在洛杉矶附近以及南部一些州(例如阿肯色州,俄克拉荷马州和阿拉巴马州)最大。在任何PM 2.5 浓度下,收入较低和贫困率较高的县的平均预期寿命损失要比较富裕的县大。自1999年以来,PM 2.5 的降低已降低了除14个县以外的所有县的死亡率,除PM 2.5 略有增加。与其他观察性研究类似,我们研究的主要局限性在于不能保证所观察到的关联具有因果关系。我们没有关于死亡率的其他重要决定因素的年度县级数据,例如医疗保健的获取,质量和饮食,但是这些因素是通过使用特定于县的随机截距进行调整的。结论根据我们的估计,美国最近减少的颗粒物污染已带来了公共健康益处。尽管如此,我们估计目前的集中度与死亡率影响和预期寿命损失有关,在收入较低和贫困率较高的县中影响更大。

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