梁肖, 闫英洁, 张迪, 刘文佳, 平智广, 姚武, 吴卫东, 燕贞. PM2.5污染与呼吸系统疾病门诊量关系的Meta分析[J]. 环境与职业医学, 2016, 33(9): 874-879. DOI: 10.13213/j.cnki.jeom.2016.16205
引用本文: 梁肖, 闫英洁, 张迪, 刘文佳, 平智广, 姚武, 吴卫东, 燕贞. PM2.5污染与呼吸系统疾病门诊量关系的Meta分析[J]. 环境与职业医学, 2016, 33(9): 874-879. DOI: 10.13213/j.cnki.jeom.2016.16205
LIANG Xiao, YAN Ying-jie, ZHANG Di, LIU Wen-jia, PING Zhi-guang, YAO Wu, WU Wei-dong, YAN Zhen. Meta-Analysis on Association Between PM2.5 Concentrations and Hospital Outpatient Visits for Respiratory Diseases in China[J]. Journal of Environmental and Occupational Medicine, 2016, 33(9): 874-879. DOI: 10.13213/j.cnki.jeom.2016.16205
Citation: LIANG Xiao, YAN Ying-jie, ZHANG Di, LIU Wen-jia, PING Zhi-guang, YAO Wu, WU Wei-dong, YAN Zhen. Meta-Analysis on Association Between PM2.5 Concentrations and Hospital Outpatient Visits for Respiratory Diseases in China[J]. Journal of Environmental and Occupational Medicine, 2016, 33(9): 874-879. DOI: 10.13213/j.cnki.jeom.2016.16205

PM2.5污染与呼吸系统疾病门诊量关系的Meta分析

Meta-Analysis on Association Between PM2.5 Concentrations and Hospital Outpatient Visits for Respiratory Diseases in China

  • 摘要: 目的

    探讨我国PM2.5污染与呼吸系统疾病门诊量的关系。

    方 法

    使用计算机联机检索国内外数据库,搜集PM2.5浓度变化与呼吸系统疾病门诊量关系有关资料,使用Stata 12.0软件进行Meta分析。

    结果

    共纳入文献12篇,13组数据,涉及我国8个地区。PM2.5质量浓度每升高10 μg/m3,呼吸系统疾病门诊量的RR为1.005(95% CI:1.003~1.007),经敏感性分析剔除异常值后,RR值为1.005(95% CI:1.003~1.008),其中成人呼吸系统疾病门诊量RR为1.004(95% CI:1.000~1.007)、儿童为1.008(95% CI:1.003~1.013);中国北方地区门诊量RR值为1.006(95% CI:1.002~1.009)、南方地区RR值为1.004(95% CI:1.000~1.009);呼吸系统疾病门诊量RR值为1.005(95% CI:1.001~1.008)、哮喘为1.008(95% CI:1.003~1.013)、呼吸道感染为1.001(95% CI:0.997~1.004)。经漏斗图、Egger检验无发表偏倚。

    结论

    PM2.5污染与呼吸系统疾病门诊量具有一定的相关性,随着大气中PM2.5质量浓度的上升,呼吸系统疾病门诊量增加。

     

    Abstract: Objective

    To assess the association between fine particulate matter (PM2.5) concentrations and the hospital outpatient visits for respiratory diseases in China.

    Method

    Based on the online search for publication on the association between PM2.5 concentrations and hospital outpatient visits for respiratory diseases, Stata 12.0 was used to perform meta-analysis.

    Result

    Eventually 12 literatures and 13 sets of data were included, covering 8 areas in China. An increase of 10 μg/m3 of PM2.5 corresponded to a relative risk (RR) of 1.005 (95%CI:1.003-1.007) for respiratory outpatient visits. After excluding heterogeneous data, the RR of respiratory outpatient visits was 1.005 (95%CI:1.003-1.008). Specifically, that for adults and children was 1.004 (95%CI:1.000-1.007) and 1.008 (95%CI:1.003-1.013), respectively; that for Northern China and Southern China was 1.006 (95%CI:1.002-1.009) and 1.004 (95%CI:1.000-1.009), respectively. The RRs of respiratory diseases, asthma, and respiratory infection were 1.005 (95%CI:1.001-1.008), 1.008 (95%CI:1.003-1.013), and 1.001 (95%CI:0.997-1.004), respectively. There was no significant publication bias according to the results of funnel plot and Egger test.

    Conclusion

    A positive association exists between PM2.5 concentrations and hospital outpatient visits for respiratory diseases in China.

     

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