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Temporal Trend in Lung Cancer Burden Attributed to Ambient Fine Particulate Matter in Guangzhou, China

机译:中国广州环境细颗粒物归因于肺癌负担的时间趋势

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摘要

Objective To estimate the lung cancer burden that may be attributable to ambient fine particulate matter (PM2.5) pollution in Guangzhou city in China from 2005 to 2013. Methods The data regarding PM2.5 exposure were obtained from the 'Ambient air pollution exposure estimation for the Global Burden of Disease 2013' dataset at 0.1° ×0.1° spatial resolution. Disability-adjusted life years (DALYs) were estimated based on the information of mortality and incidence of lung cancer. Comparative risk analysis and integrated exposure-response function were used to estimate attributed disease burden. Results The population-weighted average concentration of PM2.5 was increased by 34.6% between 1990 and 2013, from 38.37 μg/m3 to 51.31 μg/m3. The lung cancer DALYs in both men and women were increased by 36.2% from 2005 to 2013. The PM2.5 attributed lung cancer DALYs increased from 12105.0 (8181.0 for males and 3924.0 for females) in 2005 to 16489.3 (11291.7 for males and 5197.6 for females) in 2013. An average of 23.1% lung cancer burden was attributable to PM2.5 pollution in 2013. Conclusion PM2.5 has caused serious but under-appreciated public health burden in Guangzhou and the trend deteriorates. Effective strategies are needed to tackle this major public health problem.
机译:目的估算2005年至2013年中国广州市广州市环境细颗粒物(PM2.5)污染的肺癌负担。方法从“环境空气污染暴露估计”中获得了关于PM2.5暴露的数据用于2013年疾病的全球负担,数据集0.1°×0.1°的空间分辨率。根据肺癌的死亡率和发病率,估计残疾人调整的终身年(DALYS)。比较风险分析和综合暴露 - 反应函数用于估算归属疾病负担。结果1990年至2013年间PM2.5的群体加权平均浓度增加了34.6%,从38.37μg/ m 3至51.31μg/ m3。男性和女性的肺癌达尔多斯于2005年至2013年增加了36.2%。2005年的PM2.5归属肺癌Dalys从12105.0增加到2005年的12105.0(男性和女性3924.0)增加到16489.3(男性和5197.6的11291.7)女性2013年。平均肺癌负担的平均归因于2013年PM2.5污染。结论PM2.5造成了严重但不受广州的公共卫生负担,趋势恶化。需要有效的策略来解决这个主要的公共卫生问题。

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  • 来源
    《生物医学与环境科学(英文版)》 |2017年第10期|708-717|共10页
  • 作者单位

    Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China;

    Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China;

    Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China;

    Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China;

    Sun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, Guangzhou 510275, Guangdong, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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