中华皮肤科杂志 ›› 2017, Vol. 50 ›› Issue (1): 22-25.

• 论著 • 上一篇    下一篇

北京市PM2.5浓度与荨麻疹门诊人次的关系研究

王巧伟1,王旭英2,李永荷3,吕宏梅4,潘小川2,刘玮5   

  1. 1. 杭州市第一人民医院
    2. 北京大学公共卫生学院劳动卫生与环境卫生学系
    3. 安徽医科大学北京空军总医院临床医院
    4. 北京，解放军空军总医院
    5. 北京空军总医院皮肤科
  • 收稿日期:2016-04-11 修回日期:2016-08-15 出版日期:2017-01-15 发布日期:2017-01-05
  • 通讯作者: 刘玮 E-mail:lwei5811@126.com

Association between PM2.5 concentrations and the daily number of outpatient visits for urticaria in Beijing city

  • Received:2016-04-11 Revised:2016-08-15 Online:2017-01-15 Published:2017-01-05
  • Contact: Wei Liu E-mail:lwei5811@126.com

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摘要： 目的 探讨北京市环境空气污染物浓度与每日荨麻疹门诊量的关系。方法 主要采用时间序列结合分布滞后非线性模型和Spearman相关性分析来研究PM2.5与荨麻疹门诊量的关系，以每升高一个四分位间距（82.8 μg/m3）引起的荨麻疹就诊量增加的RR值表示PM2.5对荨麻疹的效应。结果 研究期间，PM2.5、温度、湿度及荨麻疹日门诊量分别为89.3 μg/m3、12.7 ℃、51.9%、27.3人次。PM2.5与日均温度，相对湿度及荨麻疹门诊人次的Spearman相关系数分别是-0.21、0.49、0.01，前两者差异有统计学意义，荨麻疹门诊人次与日均温度，相对湿度的Spearman相关系数分别是0.36、0.31，差异有统计学意义。在lag0?14时，RR值为1（95% CI：0.89，1.13），而控制混杂因素后，PM2.5对荨麻疹每日门诊量滞后20 d的累积效应RR值为1.22（95% CI：1.03 ? 1.46）（P < 0.05），滞后效应明显延长。结论 PM2.5与荨麻疹门诊量的关系易受气象因素、生物性混杂因素的影响，其中相对湿度、平均温度均与荨麻疹就诊量呈正相关。

Abstract: Wang Qiaowei, Wang Xuying, Li Yonghe, Lyu Hongmei, Pan Xiaochuan, Liu Wei Department of Dermatology, Air Force General Hospital of PLA, Beijing 100142, China （Wang QW, Li YH, Lyu HM, Liu W）; Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China （Wang XY, Pan XC） Corresponding author: Liu Wei, Email: lwei5811@126.com 【Abstract】 Objective To investigate the association between concentrations of environmental air pollutants and the daily number of outpatient visits for urticaria in Beijing. Methods Time series analysis in combination with distributed lag non-linear model （DLNM） and Spearman′s rank correlation test was used to analyze the association between PM2.5 concentrations and the daily number of outpatient visits for urticaria. All effect estimates were expressed as a risk ratio （RR） for the daily number of outpatient visits with an interquartile range （IQR） increase of 82.8 μg/m3 in PM2.5. Results From January 1st 2013 to June 30th 2014, the daily average PM2.5 concentration, temperature, relative humidity and number of visits for urticaria were 89.3 μg/m3, 12.7 ℃, 51.9% and 27.3 respectively. Spearman′s rank correlation test showed that the daily average PM2.5 concentration and number of visits for urticaria were correlated with daily mean temperature （rs = -0.21, 0.36, respectively, P < 0.05） and relative humidity （rs = 0.49, 0.31, respectively, P < 0.05）, but no correlation was observed between daily average PM2.5 concentrations and daily number of visits for urticaria （rs = 0.01, P > 0.05）. There was no significant correlation between daily number of outpatient visits for urticaria and daily PM2.5 concentration lagged by 0 - 14 days （RR = 1, 95% CI: 0.89, 1.13）. After potential confounding factors were adjusted, an 82.8 μg/m3 increase in daily PM2.5 concentration at lag 0 - 20 days was significantly associated with a 22% （95% CI: 3%, 46%） increase in daily number of outpatient visits for urticaria, suggesting that the lagged effect of PM2.5 was obviously increased. Conclusion The association between PM2.5 concentrations and the number of visits for urticaria is easily affected by meteorological factors and biological confounding factors, and relative humidity and mean temperature are both positively correlated with the number of visits for urticaria.