Nie Yaxiong, Liu Lijuan, Xue Shilin, Yan Lina, Ma Ning, Liu Xuehui, Liu Ran, Wang Xue, Wang Yameng, Zhang Xinzhu, Zhang Xiaolin
Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Department of Dermatology, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Environ Sci Pollut Res Int. 2023 Jan;30(4):10664-10682. doi: 10.1007/s11356-022-22901-4. Epub 2022 Sep 9.
The associations of air pollution and meteorological factors with the outpatient visits of urticaria remain poorly studied. This study aimed to assess the association between air pollution, meteorological factors, and daily outpatient visits for urticaria in Shijiazhuang, China, during 2014-2019. Daily recordings of air pollutant concentrations, meteorological data, and outpatient visits data for urticaria were collected during the 6 years. Descriptive research methods were used to describe the distribution characteristics and demographic features of urticaria. A combination of the generalized linear regression model (GLM) and distribution lag nonlinear model (DLNM) was used to evaluate the lag association between environmental factors and daily outpatient visits for urticaria. Stratified analyses by gender (male; female) and age (< 18 years; 18-39 years; > 39 years) were further conducted. The dose-response relationship between daily urticaria visits and CO, NO, O, temperature, and relative humidity was nonlinear. High concentrations of CO, NO, O, and high temperatures increased the risk of urticaria outpatient visits. The maximum cumulative association of high concentrations of CO, NO, and O was lag 0-14 days (CO: RR = 1.10, 95%CI: 1.06, 1.31; NO: RR = 1.09, 95%CI: 1.01, 1.08; O: RR = 1.16, 95%CI: 1.08, 1.25), and high temperatures was lag 0-7 days (RR = 1.27, 95%CI: 1.14, 1.41). Low concentrations of NO, O, and high humidity, on the other hand, act as protective factors for urticaria outpatient. The maximum cumulative association of low concentrations of NO was the 0-day lag (RR = 0.97, 95%CI: 0.95, 0.99), O was lag 0-5 days (RR = 0.94, 95%CI: 0.88, 0.99), and high humidity was lag 0-10 days (RR = 0.93, 95%CI: 0.89, 0.98). Stratified analyses showed that the risk of urticaria outpatient visits was higher for the males and in the < 18 years age group. In conclusion, we found that the development of urticaria in Shijiazhuang has a distinct seasonal and cyclical nature. Air pollutants and meteorological factors had varying degrees of influence on the risk of urticaria outpatient visits. This study provides indirect evidence for a link between air pollution, meteorological factors, and urticaria outpatient visits.
空气污染和气象因素与荨麻疹门诊就诊之间的关联仍研究不足。本研究旨在评估2014 - 2019年期间中国石家庄空气污染、气象因素与荨麻疹每日门诊就诊之间的关联。在这6年期间收集了空气污染物浓度、气象数据和荨麻疹门诊就诊数据的每日记录。采用描述性研究方法描述荨麻疹的分布特征和人口统计学特征。使用广义线性回归模型(GLM)和分布滞后非线性模型(DLNM)相结合的方法来评估环境因素与荨麻疹每日门诊就诊之间的滞后关联。进一步按性别(男性;女性)和年龄(<18岁;18 - 39岁;>39岁)进行分层分析。每日荨麻疹就诊与一氧化碳、一氧化氮、臭氧、温度和相对湿度之间的剂量反应关系是非线性的。高浓度的一氧化碳、一氧化氮、臭氧和高温会增加荨麻疹门诊就诊的风险。高浓度一氧化碳、一氧化氮和臭氧的最大累积关联滞后0 - 14天(一氧化碳:相对危险度RR = 1.10,95%置信区间CI:1.06,1.31;一氧化氮:RR = 1.09,95%CI:1.01,1.08;臭氧:RR = 1.16,95%CI:1.08,1.25),高温的最大累积关联滞后0 - 7天(RR = 1.27,95%CI:1.14,1.41)。另一方面,低浓度的一氧化氮、臭氧和高湿度对荨麻疹门诊就诊起到保护作用。低浓度一氧化氮的最大累积关联为滞后0天(RR = 0.97,95%CI:0.95,0.99),臭氧为滞后0 - 5天(RR = 0.94,95%CI:0.88,0.99),高湿度为滞后0 - 10天(RR = 0.93,95%CI:0.89,0.98)。分层分析表明,男性和<18岁年龄组的荨麻疹门诊就诊风险较高。总之,我们发现石家庄荨麻疹的发病具有明显的季节性和周期性。空气污染物和气象因素对荨麻疹门诊就诊风险有不同程度的影响。本研究为空气污染、气象因素与荨麻疹门诊就诊之间的联系提供了间接证据。