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可吸入大气颗粒物污染与居民每日死亡关系的Meta分析
引用本文:林刚,赵鑫,杜莹,王效科. 可吸入大气颗粒物污染与居民每日死亡关系的Meta分析[J]. 中国卫生监督杂志, 2009, 16(4): 324-330
作者姓名:林刚  赵鑫  杜莹  王效科
作者单位:1. 北京市崇文区卫生局卫生监督所,北京,100051;中国疾病预防控制预防中心,北京,100050
2. 北京市崇文区卫生局卫生监督所,北京,100051
3. 中国疾病预防控制预防中心,北京,100050
4. 中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京,100085
摘    要:目的综合分析国内外可吸入大气颗粒物(PM10)短期暴露与人群死亡关系的流行病学资料,以获取大气PM10污染与居民死亡的暴露-反应关系。方法在计算机联机检索文献和手工检索的基础上,对近十年来发表的相关研究文献采用meta分析的方法进行综合评价,并检验、校正可能存在的发表偏倚,从而准确、定量地确定PM10污染与居民死亡的暴露-反应关系。结果建立了居民短期接触大气PM10污染的暴露一反应关系,即在未考虑发表偏倚的情况下,大气中PM10每增加1130μg/m3,居民死亡的相对危险度增加3.87%(95%CI:2.84%~5.02%),在校正了发表偏倚后大气中PM10每增加100μg/m3,死亡的相对危险度增加下降为1.41%(95%CI:0.30%-2.43%),与考虑偏倚前相比下降了63.6%。结论本研究建立的暴露-反应关系较早注意到发表偏倚的影响,具有一定的代表性与科学性,可用于大气颗粒物暴露健康危险度评价工作参考,为制定相关环境决策提供科学依据。

关 键 词:可吸入颗粒物(PM10)  每日死亡  meta分析  发表偏倚

Meta analysis of the relationship between airborne inhalable particulate pollution and daily mortality
Abstract:Objective: To do the epidemiological analysis based on the data of air inhalable particulate matter (PM10) and daily mortality, and to estimate the exposure -response relationship. Method:Based on the online search and manpower search in a library of relevant studies with the same endpoint, meta-analysis was used to do the com- prehensive assessment to determine the exposure-response relationship. Result:The exposure-response relationship between short-term exposure to ambient PM10 and the increased percentage of daily mortality was found, as the concentration of air PM10 increased by 100μg/m3, the dally mortality of residents increased by 3.87% (95% CI:2. 84% - 5. 02% )when publication bias was not considered. But when we corrected the publication bias by filling the funnel plot, as the concentration of air PMI0 increased by 100μg/m3, the daily mortality of residents increased by 1.41% (95 % C1:0.30% -2.43% ). Conclusion:The exposure-response relationship recommended in the present paper can be applied to the health risk assessment of air PM10 in various cities of China.
Keywords:Inhalable particulate matter( PM10)  Daily mortality  Meta-analysis  Publication bias
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