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Multi-site time series analysis of acute effects of multiple air pollutants on respiratory mortality: A population-based study in Beijing, China

机译:多种空气污染物对呼吸系统死亡的急性影响的多站点时间序列分析:基于人口的北京研究

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摘要

In large cities in China, the traffic-related air pollution has become the focus of attention, and its adverse effects on health have raised public concerns. We conducted a study to quantify the association between exposure to three major traffic-related pollutants - particulate matter < 10 um in aerodynamic diameter (PM_(10)), carbon monoxide (CO) and nitrogen dioxide (NO_2) and the risk of respiratory mortality in Beijing, China at a daily spatiotemporal resolution. We used the generalized additive models (GAM) with natural splines and principal component regression method to associate air pollutants with daily respiratory mortality, covariates and confounders. The GAM analysis adjusting for the collinearity among pollutants indicated that PM_(10), CO and NO_2 had significant effects on daily respiratory mortality in Beijing. An interquartile range increase in 2-day moving averages concentrations of day 0 and day 1 of PM_(10), CO and NO_2 corresponded to 0.99 [95% confidence interval (CI): 0.30, 1.67], 0.89 (95% CI: 0.27,1.51) and 0.95 (95% CI: 0.29,1.61) percent increase in daily respiratory mortality, respectively. The effects were varied across the districts. The strongest effects were found in two rural districts and one suburban district but significant in only one district In conclusion, high level of several traffic-related air pollutants is associated with an increased risk of respiratory mortality in Beijing over a short-time period. The high risk found in rural areas suggests a potential susceptible sub-population with undiagnosed respiratory diseases in these areas. Although the rural areas have relatively lower air pollution levels, they deserve more attention to respiratory disease prevention and air pollution reduction.
机译:在中国的大城市中,与交通有关的空气污染已成为关注的焦点,其对健康的不利影响引起了公众的关注。我们进行了一项研究,以量化与三种主要交通相关污染物的接触-空气动力学直径(PM_(10)<10 um的颗粒物),一氧化碳(CO)和二氧化氮(NO_2)与呼吸系统死亡风险之间的关系。每天以时空分辨率显示在中国北京。我们使用带有自然样条和主成分回归方法的广义加性模型(GAM)将空气污染物与每日呼吸道死亡率,协变量和混杂因素联系起来。通过对污染物之间的共线性进行调整的GAM分析表明,北京的PM_(10),CO和NO_2对日常呼吸道死亡率具有显着影响。 PM_(10),CO和NO_2的第0天和第1天的2天移动平均浓度的四分位数范围增加对应于0.99 [95%置信区间(CI):0.30、1.67],0.89(95%CI:0.27)呼吸道疾病的死亡率分别增加了(1.51、1.51)和0.95(95%CI:0.29、1.61)。各地区的影响各不相同。在两个农村地区和一个郊区地区发现了最强烈的影响,但在一个地区却很明显。总之,北京地区几种交通相关的空气污染物含量高与短期内呼吸道疾病死亡风险增加有关。在农村地区发现的高风险表明,在这些地区,潜在的易感人群具有未确诊的呼吸道疾病。尽管农村地区的空气污染水平相对较低,但他们应更多地注意预防呼吸道疾病和减少空气污染。

著录项

  • 来源
    《The Science of the Total Environment》 |2015年第1期|178-187|共10页
  • 作者单位

    Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China;

    Unit of Biostatistics, Division of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm 17177, Sweden;

    Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China;

    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;

    Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China;

    Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China;

    Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China;

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

    Air pollutants; Respiratory mortality; Time series analysis; Generalized additive model; Principal component analysis;

    机译:空气污染物;呼吸道死亡率;时间序列分析;广义加性模型;主成分分析;

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