From the aDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA; bDepartment of Biostatistics, Harvard T.H. Chan School of Public Health; cDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA; dDepartment of Economics, Harvard University, Cambridge, MA; eDepartment of Environmental Health, Harvard T.H. Chan School of Public Health; and fDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Epidemiology. 2017 Sep;28(5):627-634. doi: 10.1097/EDE.0000000000000690.
In 2012, the EPA enacted more stringent National Ambient Air Quality Standards (NAAQS) for fine particulate matter (PM2.5). Few studies have characterized the health effects of air pollution levels lower than the most recent NAAQS for long-term exposure to PM2.5 (now 12 μg/m).
We constructed a cohort of 32,119 Medicare beneficiaries residing in 5138 US ZIP codes who were interviewed as part of the Medicare Current Beneficiary Survey (MCBS) between 2002 and 2010 and had 1 year of follow-up. We considered four outcomes: all-cause hospitalizations, hospitalizations for circulatory diseases and respiratory diseases, and death.
We found that increasing exposure to PM2.5 from levels lower than 12 μg/m to levels higher than 12 μg/m is associated with increases in all-cause admission rates of 7% (95% CI = 3%, 10%) and in circulatory admission hazard rates of 6% (95% CI = 2%, 9%). When we restricted analysis to enrollees with exposure always lower than 12 μg/m, we found that increasing exposure from levels lower than 8 μg/m to levels higher than 8 μg/m increased all-cause admission hazard rates by 15% (95% CI = 8%, 23%), circulatory by 18% (95% CI = 10%, 27%), and respiratory by 21% (95% CI = 9%, 34%).
In a nationally representative sample of Medicare enrollees, changes in exposure to PM2.5, even at levels consistently below standards, are associated with increases in hospital admissions for all causes and cardiovascular and respiratory diseases. The robustness of our results to inclusion of many additional individual level potential confounders adds validity to studies of air pollution that rely entirely on administrative data.
2012 年,美国环境保护署(EPA)颁布了更为严格的细颗粒物(PM2.5)国家环境空气质量标准(NAAQS)。很少有研究描述低于最新 NAAQS 水平的 PM2.5 长期暴露对健康的影响(现在为 12μg/m)。
我们构建了一个由 32119 名居住在美国 5138 个邮政编码中的医疗保险受益人组成的队列,这些人是 2002 年至 2010 年期间接受医疗保险当前受益人调查(MCBS)采访的一部分,并进行了为期 1 年的随访。我们考虑了四个结果:全因住院、循环系统疾病和呼吸系统疾病住院和死亡。
我们发现,从低于 12μg/m 的 PM2.5 暴露水平增加到高于 12μg/m 的暴露水平,与全因入院率增加 7%(95%CI=3%,10%)和循环系统入院风险率增加 6%(95%CI=2%,9%)相关。当我们将分析限制在始终低于 12μg/m 暴露的参保者中时,我们发现,从低于 8μg/m 的暴露水平增加到高于 8μg/m 的暴露水平,全因入院风险率增加了 15%(95%CI=8%,23%),循环系统增加了 18%(95%CI=10%,27%),呼吸系统增加了 21%(95%CI=9%,34%)。
在医疗保险参保者的全国代表性样本中,PM2.5 暴露的变化,即使在始终低于标准的水平,也与所有原因和心血管和呼吸系统疾病的住院人数增加有关。我们的研究结果对纳入许多其他个体水平潜在混杂因素的稳健性增加了完全依赖于行政数据的空气污染研究的有效性。