田璐, 金曼, 佟俊旺. 应用Meta分析研究我国PM2.5污染与居民每日死亡的关系[J]. 环境与职业医学, 2015, 32(11): 1013-1018. DOI: 10.13213/j.cnki.jeom.2015.15138
引用本文: 田璐, 金曼, 佟俊旺. 应用Meta分析研究我国PM2.5污染与居民每日死亡的关系[J]. 环境与职业医学, 2015, 32(11): 1013-1018. DOI: 10.13213/j.cnki.jeom.2015.15138
TIAN Lu , JIN Man , TONG Jun-wang . A Meta-Analysis on Association between Air Fine Particular Pollution and Daily Mortality of Residents in China[J]. Journal of Environmental and Occupational Medicine, 2015, 32(11): 1013-1018. DOI: 10.13213/j.cnki.jeom.2015.15138
Citation: TIAN Lu , JIN Man , TONG Jun-wang . A Meta-Analysis on Association between Air Fine Particular Pollution and Daily Mortality of Residents in China[J]. Journal of Environmental and Occupational Medicine, 2015, 32(11): 1013-1018. DOI: 10.13213/j.cnki.jeom.2015.15138

应用Meta分析研究我国PM2.5污染与居民每日死亡的关系

A Meta-Analysis on Association between Air Fine Particular Pollution and Daily Mortality of Residents in China

  • 摘要: 目的 通过Meta 分析建立PM2.5 与我国居民每日死亡之间的暴露-反应关系,评估我国PM2.5污染造成的健康危害。

    方法 于2015 年1 月,通过计算机联机在万方数据医药信息系统的医药期刊库、会议论文、学位论文库,维普中文科技期刊全文数据库,中国学术期刊全文数据库(CNKI),PubMed/Medline 数据库中检索“PM2.5”和“每日死亡”“暴露-反应关系”等关键词,以及手工查阅期刊,收集2003 年1 月-2015 年1 月间发表的符合上述要求的所有文献共计54 篇,在此基础上筛选出大气PM2.5 浓度每升高10 μg/m3 与其相应的居民每日总死亡率的相对危险度(RR)。采用Stata 12.0 附加的Meta 分析模块进行统计分析,利用固定或随机效应模型合并效应值,并对结果进行敏感性分析、发表偏倚检验与校正。

    结果 纳入原始文献14 篇19 组数据,剔除异质数据后保留12 篇文献13 组数据。校正发表偏倚后,在原始文献PM2.5 浓度范围内(14.34~405.00 μg/m3),大气PM2.5 浓度每升高10 μg/m3,居民每日总死亡率的RR 为1.002 6(95% CI:1.001 5~1.004 0);在剔除异质数据后保留文献的PM2.5 浓度范围内(14.34~292.3 μg/m3),大气PM2.5 致居民每日总死亡的RR 为1.003 7(95% CI:1.002 7~1.004 9)。

    结论 本次Meta 分析结果显示,在14.34~292.3 μg/m3 的浓度范围内大气PM2.5 浓度上升可导致我国居民总死亡率增加。

     

    Abstract: Objective To assess the health risks of air fine particulate matters(PM2.5) based on meta-analysis and establish an exposure-response relationship between PM2.5 and daily mortality in residents of China.

    Methods An online research via Medical Periodical Database of Medicine Information System, Conference Papers, Dissertations Digital Library, VIP Database for Chinese Technical Periodicals, Chinese National Knowledge Infrastructure(CNKI), PubMed/Medline was conducted using key words “PM2.5” and “daily death”, “exposure-response relationship”, combining manual searching in relevant journals. Then 54 literatures published from January 2003 to January 2015 met the above requirements. Finally, relative risks(RR) of daily mortality in association with a 10-μg/m3 increase were included in the study to perform meta-analysis by Stata 12.0 software. A fixed or random effect model combining effect values was used to perform sensitivity analysis and adjust publication bias.

    Results A total of 14 original literatures and 19 sets of data were included, and after excluding heterogeneous data 12 eligible literatures and 13 sets of data were valid. After adjusting publication bias, within the concentration range of 14.34-405.0 μg/m3, a 10-μg/m3 increase of PM2.5 was associated with an estimated RR of daily mortality at 1.002 6(95% CI: 1.001 5-1.004 0). After excluding heterogeneous data, in the PM2.5 concentration range of 14.34-292.3 μg/m3, the RR of total daily mortality due to PM2.5 was 1.003 7(95% CI: 1.002 7-1.004 9).

    Conclusion The meta-analysis concludes that the increase of PM2.5 concentration in the range of 14.34-292.3 μg/m3 might lead to the increase of total daily mortality of residents in China.

     

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