From the Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Epidemiology. 2019 Jul;30(4):477-485. doi: 10.1097/EDE.0000000000001024.
National, state, and local policies contributed to a 65% reduction in sulfur dioxide emissions from coal-fired power plants between 2005 and 2012 in the United States, providing an opportunity to directly quantify public health benefits attributable to these reductions under an air pollution accountability framework.
We estimate ZIP code-level changes in two different-but related-exposure metrics: total PM2.5 concentrations and exposure to coal-fired power plant emissions. We associate changes in 10 health outcome rates among approximately 30 million US Medicare beneficiaries with exposure changes between 2005 and 2012 using two difference-in-difference regression approaches designed to mitigate observed and unobserved confounding.
Rates per 10,000 person-years of six cardiac and respiratory health outcomes-all cardiovascular disease, chronic obstructive pulmonary disorder, cardiovascular stroke, heart failure, ischemic heart disease, and respiratory tract infections-decreased by between 7.89 and 1.95 per (Equation is included in full-text article.)decrease in PM2.5, with comparable decreases in coal exposure leading to slightly larger rate decreases. Results for acute myocardial infarction, heart rhythm disorders, and peripheral vascular disease were near zero and/or mixed between the various exposure metrics and analyses. A secondary analysis found that nonlinearities in relationships between changing health outcome rates and coal exposure may explain differences in their associations.
The direct analyses of emissions reductions estimate substantial health benefits via coal power plant emission and PM2.5 concentration reductions. Differing responses associated with changes in the two exposure metrics underscore the importance of isolating source-specific impacts from those due to total PM2.5 exposure.
美国在 2005 年至 2012 年期间,通过国家、州和地方政策将燃煤电厂的二氧化硫排放量减少了 65%,这为在空气污染问责框架下直接量化这些减排措施带来的公共卫生效益提供了机会。
我们估计了两种不同但相关的暴露指标的邮政编码层面变化:总 PM2.5 浓度和燃煤电厂排放的暴露。我们使用两种差异差异回归方法,将 2005 年至 2012 年间的暴露变化与大约 3000 万美国医疗保险受益人的 10 种健康结果率的变化联系起来,旨在减轻观察到的和未观察到的混杂因素的影响。
六种心脏和呼吸健康结果的每 10000 人年率——所有心血管疾病、慢性阻塞性肺疾病、心血管中风、心力衰竭、缺血性心脏病和呼吸道感染——每减少 10 微克/立方米,PM2.5 浓度降低 7.89 到 1.95 个百分点,燃煤暴露的类似降低导致了略大的率降低。急性心肌梗死、心律紊乱和外周血管疾病的结果接近于零,或者在各种暴露指标和分析之间存在混合。二次分析发现,健康结果率变化与煤炭暴露之间关系的非线性可能解释了它们关联的差异。
通过燃煤电厂排放和 PM2.5 浓度降低的直接分析,估计了大量的健康效益。与两种暴露指标变化相关的不同反应强调了从总 PM2.5 暴露中分离出特定来源的影响的重要性。