洪伟伟, 周哲华, 朱国英, 朱泽, 王煕蓓, 吴益康. 20192021年浙江省嘉兴市大气颗粒物与呼吸系统疾病门诊量关系的时间序列分析[J]. 上海预防医学, 2023, 35(2): 148-153. DOI: 10.19428/j.cnki.sjpm.2023.22454
引用本文: 洪伟伟, 周哲华, 朱国英, 朱泽, 王煕蓓, 吴益康. 20192021年浙江省嘉兴市大气颗粒物与呼吸系统疾病门诊量关系的时间序列分析[J]. 上海预防医学, 2023, 35(2): 148-153. DOI: 10.19428/j.cnki.sjpm.2023.22454
HONG Weiwei, ZHOU Zhehua, ZHU Guoying, ZHU Ze, WANG Xibei, WU Yikang. Association between atmospheric particulate matters and outpatient visits for respiratory disorders in Jiaxing City of Zhejiang Province from 2019 to 2021: a time series analysis[J]. Shanghai Journal of Preventive Medicine, 2023, 35(2): 148-153. DOI: 10.19428/j.cnki.sjpm.2023.22454
Citation: HONG Weiwei, ZHOU Zhehua, ZHU Guoying, ZHU Ze, WANG Xibei, WU Yikang. Association between atmospheric particulate matters and outpatient visits for respiratory disorders in Jiaxing City of Zhejiang Province from 2019 to 2021: a time series analysis[J]. Shanghai Journal of Preventive Medicine, 2023, 35(2): 148-153. DOI: 10.19428/j.cnki.sjpm.2023.22454

20192021年浙江省嘉兴市大气颗粒物与呼吸系统疾病门诊量关系的时间序列分析

Association between atmospheric particulate matters and outpatient visits for respiratory disorders in Jiaxing City of Zhejiang Province from 2019 to 2021: a time series analysis

  • 摘要:
    目的 探讨浙江省嘉兴市大气颗粒物(PM)与呼吸系统疾病门诊量的关系。
    方法 收集嘉兴市2019—2021年逐日大气污染物、气象和呼吸系统疾病门诊量资料。采用广义相加模型(GAM),控制长期趋势、星期几效应、节假日效应和气象因素等混杂因素,分析PM含量与呼吸系统疾病门诊量的关系及滞后效应。
    结果 PM2.5、PM10、臭氧(O3)和二氧化氮(NO2)存在日均浓度超标情况,超标天数占比分别为3.4%、1.3%、11.0%和0.8%。PM2.5每增加10 μg·m-3,呼吸系统疾病门诊总量、成人和儿童呼吸系统疾病门诊量效应值均在lag07时达到最大,超额风险ER(95%CI)分别为2.29%(1.35%~3.24%)、2.31% (1.39%~3.23%)和2.65%(1.36%~3.96%);PM10每升高10 μg·m-3,呼吸系统疾病门诊总量、成人和儿童门诊量效应值分别在lag07、lag06、lag07时达到最大,ER(95%CI)分别为1.42%(0.87%~1.96%)、1.49%(0.99%~1.99%)和1.61%(0.87%~2.36%);儿童呼吸系统疾病门诊量最大ER值高于成人。双污染物模型分析引入O3后,PM2.5和PM10对呼吸系统疾病门诊量的影响均有所降低。
    结论 嘉兴市PM对呼吸系统疾病门诊量存在短期效应及滞后效应,应加强对人群特别是儿童群体呼吸系统的健康防护工作。

     

    Abstract:
    Objective To explore the effect of exposure to atmospheric particulate matters on the outpatient visits of respiratory disorders in Jiaxing City,Zhejiang Province.
    Methods Daily air pollutant monitoring data,meteorological data and outpatient visits of respiratory disorders in Jiaxing City from 2019 to 2021 were collected.A generalized additive model was applied to evaluate the effect and laggeel effect of the concentrations of atmospheric particulates for outpatient visits of respiratory disorders after adjusting for secular trend, day-of-the-week effect, holiday effect, and meteorological variables.
    Results The daily average concentrations of PM2.5, PM10, O3 and NO2 exceeded the standard, and the proportion of days exceeding the standard was 3.4%, 1.3%, 11.0% and 0.8%, respectively. Every 10 μg·m-3 increase in PM2.5 concentration showed the strongest effects on the daily outpatient visits of respiratory disorders, adult and childhood respiratory disorders all on lag07 with ER(95%CI) being 2.29%(1.35%‒3.24%), 2.31% (1.39%‒3.23%) and 2.65 % (1.36%‒3.96%), respectively. The maximum ER of outpatient visits for respiratory disorders in children was higher than that in adults. Every 10 μg·m-3 increase in PM10 concentration showed the strongest effects on the daily outpatient visits of respiratory disorders on lag07, adult respiratory disorders on lag06 and childhood respiratory disorders on lag07 with ER(95%CI) being 1.42% (0.87%‒1.96%), 1.49%(0.99%‒1.99%) and 1.61% (0.87%‒2.36%), respectively. The results of double-pollutant model showed that the effect of atmospheric particulate reduced after O3 was introduced into the model.
    Conclusion There are a short-term effect and a laggeel effect of atmospheric particulate on the outpatient visits of respiratory disorders. It is necessary to strengthen the health protection of the respiratory system of the population, especially the children.

     

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