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PM_(2.5) and hospital admissions among Medicare enrollees with chronic debilitating brain disorders

机译:PM_(2.5)和医疗保险入院中的医院入院,慢性衰弱的脑病

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摘要

Background: Although long-term exposure to particulate matter<2.5 μm (PM_(2.5)) has been linked to chronic debilitating brain disorders (CDBD), the role of short-term exposure in health care demand, and increased susceptibility for PM_(2.5)-related health conditions, among Medicare enrollees with CDBD has received little attention. We used a causal modeling approach to assess the effect of short-term high PM_(2.5) exposure on all-cause admissions, and prevalent cause-specific admissions among Medicare enrollees with CDBD (Parkinson's disease-PD, Alzheimer's disease-AD and other dementia). Methods: We constructed daily zipcode counts of hospital admissions of Medicare beneficiaries older than 65 across the United-States (2000-2014). We obtained daily PM_(2.5) estimates from a satellite-based model. A propensity score matching approach was applied to match high-pollution (PM_(2.5) > 17.4 μg/m~3) to low-pollution zip code-days with similar background characteristics. Then, we estimated the percent change in admissions attributable to high pollution. We repeated the models restricting the analysis to zipcode-days with PM_(2.5) below of 35μg/m~3. Results: We observed significant increases in all-cause hospital admissions (2.53% in PD and 2.49% in AD/demen-tia) attributable to high PM_(2.5) exposure. The largest observed effect for common causes was for pneumonia and urinary tract infection. All the effects were larger in CDBD compared to the general Medicare population, and similarly strong at levels of exposure considered safe by the EPA. Conclusion: We found Medicare beneficiaries with CDBD to be at higher risk of being admitted to the hospital following acute exposure to PM_(2.5) levels well below the National Ambient Air Quality Standard defined as safe by the EPA.
机译:背景:虽然长期暴露于颗粒物质<2.5μm(PM_(2.5))已与慢性衰弱脑障碍(CDBD)有关,但短期暴露在医疗保健需求中的作用,以及增加PM_的易感性(2.5 )与CDBD的Medicare登记者中的健康状况很少受到关注。我们利用了因果建模方法来评估短期高PM_(2.5)暴露于所有原因录取的影响,以及Medicare登记犬的普遍造成的归因于CDBD(帕金森病-PD,阿尔茨海默病 - 广告和其他痴呆症)。方法:我们在美国建造了美国医院医院受益人的日常邮政编码次数(2000-2014)。我们从基于卫星的模型获得每日PM_(2.5)估计。应用倾向得分匹配方法以使高污染(PM_(2.5)>17.4μg/ m〜3)与具有相似背景特征的低污染邮政编码天。然后,我们估计占高污染征收的贷款的变化百分比。我们重复模型将分析限制为Zipcode-Days,PM_(2.5)为35μg/ m〜3。结果:我们观察到所有原因医院入院的显着增加(PD中的2.53%,AD / Demen-TIA中的2.49%)归因于高PM_(2.5)曝光。对常见原因的最大观察到的效果是肺炎和尿路感染。与一般医疗保险人群相比,CDBD的所有效果都在更大,并且在EPA被认为安全的暴露水平上同样强烈强劲。结论:我们发现CDBD的Medicare受益人在急性暴露于PM_(2.5)水平之后,低于国家环境空气质量标准被EPA所定义的国家环境空气质量标准的急剧接触较高的风险。

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  • 来源
    《The Science of the Total Environment》 |2021年第2期|142524.1-142524.5|共5页
  • 作者单位

    Department of Environmental Medicine and Public Health Icahn School of Medicine at Mount Sinai New York NY USA;

    Department of Biostatistics. Harvard T.H. Chan School of Public Health Boston MA USA;

    Exposure Epidemiology and Risk Program Department of Environmental Health Harvard T.H. Chan School of Public Health Boston MA USA;

    Department of Statistics Informatics and Applications University of Florence Florence Italy;

    Department of Biostatistics. Harvard T.H. Chan School of Public Health Boston MA USA Exposure Epidemiology and Risk Program Department of Environmental Health Harvard T.H. Chan School of Public Health Boston MA USA;

    Research Center for Public Health School of Medicine Tsinghua University Beijing China;

    Department of Psychology Concordia University Montreal QC Canada;

    Department of Neurology Soroka University Medical Center Beer Sheva Israel;

    Department of Biostatistics. Harvard T.H. Chan School of Public Health Boston MA USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Particulate air pollution; Dementia; PM_(2.5); Parkinson's disease;

    机译:微粒空气污染;痴呆;PM_(2.5);帕金森病了;

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