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林芝市温度对臭氧所致人群门诊量的效应修饰研究

Modification effects of temperature on outpatient visits caused by ozone in Linzhi
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摘要 目的探讨温度对林芝市臭氧所致门诊量的效应修饰作用。方法收集2018—2019年林芝市人民医院的每日门诊资料以及林芝市逐日O_(3)浓度资料和气象资料(日平均气温、平均相对湿度等),采用分布滞后非线性模型(DLNM)定量评估不同温度层内O_(3)对人群门诊风险的影响。结果低温时,O_(3)每增加10μg/m^(3),每日总门诊量、非伤害门诊量的累计风险(CRR)分别增加53.8%(4.2%~126.9%)和59.1%(5.8%~139.2%)。亚组分析结果显示,低温时,O_(3)每增加10μg/m^(3),循环系统疾病、男性、女性、<14岁和14~65岁的年龄段人群门诊量的累积风险(CRR)分别增加152.1%(15.1%~451.9%)、58.3%(2.1%~145.5%)、49.2%(3.0%~116.1%)、39.6%(2.5%~90.3%)和61%(0.8%~157.1%)。结论林芝市日平均气温对O_(3)所致人群门诊量的影响可能存在效应修饰作用,低温会加大O_(3)所致门诊量的累积风险。 Objective To investigate the modification effect of atmospheric temperature on outpatient visits caused by O_(3)in Linzhi City.Methods The daily outpatient data,the daily O_(3)concentration and daily meteorological data(including daily average temperature,average relative humidity,etc.)in Linzhi City from 2018 to 2019 were collected.The distributed lag non-liner-model(DLNM)was used to quantitatively evaluate the impact of O_(3)in different temperature layers on the risk of outpatient visits.Results At low temperature layers,the cumulative relative risk(CRR)of total outpatient visits and non-injury outpatient visits increased by 53.8%(4.2%-126.9%)and 59.1%(5.8%-139.2%)for every 10μg/m^(3)increase of O_(3)concentration,respectively.The subgroup analysis showed that for every 10μg/m^(3)increase of O_(3)concentration at low temperature,the CRR of patients with circulatory diseases,men,women,and people being<14 years old and 14-65 years old increased by 152.1%(15.1%-451.9%),58.3%(2.1%-145.5%),49.2%(3.0%-116.1%),39.6%(2.5%-90.3%),and 61%(0.8%-157.1%),respectively.Conclusion The average temperature may have a modifying effect on the outpatient visits caused by O_(3)in Linzhi City.In general,the cumulative risk increases as the temperature decreases.
作者 宋和佳 曹艳娥 黄钰姝 李永红 程义斌 尼珍 平措卓玛 姚孝元 SONG He-jia;CAO Yan’e;HUANG Yu-shu;LI Yong-hong;CHENG Yi-bin;NI Zhen;PING CUO Zhuoma;YAO Xiao-yuan(China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health,Chinese Center for Disease Control and Prevention,Beijing 100021,China;Linzhi Municipal Center for Disease Control and Prevention,Linzhi 860100,China)
出处 《公共卫生与预防医学》 2022年第1期17-21,共5页 Journal of Public Health and Preventive Medicine
基金 国家科技基础资源调查专项(2017FY101201,2017FY101206)。
关键词 臭氧 温度 分布滞后非线性模型 效应修饰 门诊数据 O_(3) Temperature Distributed lag nonlinear model Clinical data Modification effect
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