陈楠, 程娟, 孙鉴, 操文祥, 徐甜, 王琳, 袁晶. 2014年武汉市大气颗粒物数浓度与呼吸系统疾病日门诊量的时间序列研究[J]. 环境与职业医学, 2016, 33(10): 970-976. DOI: 10.13213/j.cnki.jeom.2016.16163
引用本文: 陈楠, 程娟, 孙鉴, 操文祥, 徐甜, 王琳, 袁晶. 2014年武汉市大气颗粒物数浓度与呼吸系统疾病日门诊量的时间序列研究[J]. 环境与职业医学, 2016, 33(10): 970-976. DOI: 10.13213/j.cnki.jeom.2016.16163
CHEN Nan, CHENG Juan, SUN Jian, CAO Wen-xiang, XU Tian, WANG Lin, YUAN Jing. Time-Series Analysis on Association Between Particle Number Concentrations and Respiratory Diseases Outpatient Visits in Wuhan in 2014[J]. Journal of Environmental and Occupational Medicine, 2016, 33(10): 970-976. DOI: 10.13213/j.cnki.jeom.2016.16163
Citation: CHEN Nan, CHENG Juan, SUN Jian, CAO Wen-xiang, XU Tian, WANG Lin, YUAN Jing. Time-Series Analysis on Association Between Particle Number Concentrations and Respiratory Diseases Outpatient Visits in Wuhan in 2014[J]. Journal of Environmental and Occupational Medicine, 2016, 33(10): 970-976. DOI: 10.13213/j.cnki.jeom.2016.16163

2014年武汉市大气颗粒物数浓度与呼吸系统疾病日门诊量的时间序列研究

Time-Series Analysis on Association Between Particle Number Concentrations and Respiratory Diseases Outpatient Visits in Wuhan in 2014

  • 摘要: 目的

    探讨武汉市不同粒径颗粒物数浓度(PNCs)对市民呼吸系统疾病日门诊量的短期影响。

    方法

    收集2014年武汉市不同粒径颗粒物的日均数浓度、同期气象参数资料以及部分市级医院呼吸系统疾病日门诊量数据。采用时间序列的半参数广义相加模型分析颗粒物数浓度对呼吸道疾病日门诊量影响的最佳滞后时间及暴露-反应关系。

    结果

    单污染物模型结果显示,在最佳滞后条件下,PNC0.25-0.5每升高一个四分位间距值时,全人群和男性呼吸系统疾病日门诊量分别增加5.60%(RR=1.0560,95%CI:1.0045~1.1102)和8.63%(RR=1.0863,95%CI:1.0270~1.1489);PNC0.5-1.0每升高一个四分位间距值时,全人群和男性呼吸系统疾病日门诊量分别增加2.42%(RR=1.0242,95%CI:1.0067~1.0421)和3.29%(RR=1.0329,95%CI:1.0134~1.0528);PNC1.0-2.5每升高一个四分位间距值时,全人群和男性的呼吸系统疾病日门诊量分别增加4.45%(RR=1.0445,95%CI:1.0134~1.0765)和3.89%(RR=1.0389,95%CI:1.0036~1.0754)。双污染物模型结果显示,当分别调整可吸入颗粒物、细颗粒物、二氧化硫、二氧化氮、一氧化碳和臭氧质量浓度后,PNC0.5-1.0与全人群及男性的呼吸系统疾病日门诊量仍呈正相关关系(P < 0.05),但PNC0.25-0.5仅与男性呼吸系统疾病日门诊量的相关性稳健(P < 0.05)。

    结论

    当调整了颗粒物及气态污染物的质量浓度后,粒径 < 1.0 μm颗粒物数浓度对全人群和男性呼吸系统疾病日门诊量的影响较明显。

     

    Abstract: Objective

    To investigate short-term effects of size-fractionated particle number concentrations (PNCs) on daily respiratory diseases outpatient visits in Wuhan City, China.

    Methods

    Data on daily respiratory diseases outpatient visits from several municipal hospitals and PNCs (0.25-10 μm in aerodynamic diameter) in Wuhan were collected between 1 January 2014 and 31 December 2014. Associations between daily PNCs and daily outpatient visits for respiratory diseases were studied by time-series analysis with semi-parametric generalized additive model.

    Results

    In the single-pollutant model, with an interquartile range (IQR) increase of PNC0.25-0.5, the respiratory diseases outpatient visits were correspondingly increased by 5.60% relative risk (RR)=1.056 0, 95% confidence interval (CI): 1.004 5-1.1102 for total population and 8.63% (RR=1.086 3, 95%CI: 1.0270-1.1489) for males; with an IQR increase of PNC0.5-1.0, the respiratory diseases outpatient visits were correspondingly increased by 2.42% (RR=1.024 2, 95%CI: 1.0067-1.0421) for total population and 3.29% (RR=1.0329, 95%CI: 1.0134-1.0528) for males. The excess relative risks of daily outpatient visits for respiratory diseases were increased by 4.45% (RR=1.044 5, 95%CI: 1.0134-1.0765) for total population and 3.89% (RR=1.038 9, 95%CI: 1.003 6-1.075 4) for males associated with an IQR increase in PNC1.0-2.5. In the two-pollutant model, associations between PNC0.5-1.0 and daily outpatient visits of respiratory diseases for total population and males were generally stable after adjustment for mass concentrations of particulate matters with an aerodynamic diameters of≤10 μm (PM10) or 2.5 μm (PM2.5), sulfur dioxide, nitrogen dioxide, carbon monoxide, and ozone (P < 0.05). However, only PNC0.25-0.5 was significantly associated with the daily outpatient visits of respiratory diseases for males (P < 0.05).

    Conclusion

    PNC0.25-1.0 is significantly associated with daily outpatient visits of respiratory diseases for total population and males after adjustment for the mass concentrations of particulate matters and gaseous pollutants.

     

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