Please wait a minute...
文章检索
预防医学  2026, Vol. 38 Issue (6): 630-634    DOI: 10.19485/j.cnki.issn2096-5087.2026.06.020
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
大气污染物对清远市呼吸系统疾病死亡的影响
张家泳, 罗燕东, 郭莉敏
清远市疾病预防控制中心,广东 清远 511500
Effect of air pollutants on respiratory disease mortality in Qingyuan City
ZHANG Jiayong, LUO Yandong, GUO Limin
Qingyuan Center for Disease Control and Prevention, Qingyuan, Guangdong 511500, China
全文: PDF(1299 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 分析2018—2022年广东省清远市大气污染物细颗粒物(PM2.5)、臭氧(O3)和一氧化碳(CO)对呼吸系统疾病死亡的影响,为优化呼吸系统疾病防控策略提供依据。方法 通过中国疾病预防控制中心人口死亡信息登记管理系统收集2018—2022年清远市呼吸系统疾病死亡资料,通过中国环境监测总站收集同期清远市大气污染物资料。构建分布滞后非线性模型(DLNM)分析大气污染物与呼吸系统疾病死亡的关系,计算归因分值(AF)和归因死亡例数评估大气污染物对呼吸系统疾病死亡的归因风险。结果 2018—2022年清远市报告呼吸系统疾病死亡病例17 008例,年均报告死亡率为88.63/10万;PM2.5、O3和CO质量浓度MQR)分别为23.83(21.22)、53.00(32.82)和770.83(295.29)μg/m3。DLNM分析结果显示,0~7 d滞后期内,呼吸系统疾病死亡的累积效应RR值总体随着PM2.5、O3和CO质量浓度的升高而上升。暴露当日(滞后0 d),PM2.5(155.04 μg/m3)、CO(2 253.12 μg/m3)质量浓度较高时,死亡风险较大,RR值分别为1.520(95%CI:1.228~1.904)、1.891(95%CI:1.650~2.314);滞后7 d,O3质量浓度较高(148.08 μg/m3)时,死亡风险较大,RR值为1.341(95%CI:1.088~1.713)。暴露于PM2.5、O3和CO所致的呼吸系统疾病死亡AF分别为14.522%(95%CI:4.320%~24.265%)、8.598%(95%CI:3.760%~13.351%)和24.994%(95%CI:14.903%~34.056%),归因死亡例数分别为2 469(95%CI:735~4 128)、1 463(95% CI:639~2 270)和4 250(95%CI:2 534~5 793)例。结论 清远市PM2.5、O3和CO质量浓度与呼吸系统疾病死亡风险呈非线性关系,且受滞后效应影响;3种大气污染物暴露对呼吸系统疾病死亡存在明确归因负担,CO的归因负担最高,其次为PM2.5和O3
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
张家泳
罗燕东
郭莉敏
关键词 PM2.5O3CO呼吸系统疾病分布滞后非线性模型归因风险    
AbstractObjective To analyze the effects of ambient air pollutants including fine particulate matter (PM2.5), ozone (O3) and carbon monoxide (CO) on mortality from respiratory diseases in Qingyuan City, Guangdong Province from 2018 to 2022, so as to provide the evidence for optimizing prevention and control strategies for respiratory diseases. Methods Data on deaths caused by respiratory diseases in Qingyuan City from 2018 to 2022 were collected through the population death registration and management system of the Chinese Center for Disease Control and Prevention, and the corresponding data on ambient air pollutants were collected through the China National Environmental Monitoring Center. A distributed lag non-linear model (DLNM) was established to explore the association between air pollutants and mortality from respiratory diseases. Attributable fraction (AF) and attributable deaths were calculated to assess the attributable risks of air pollutants for respiratory disease mortality. Results A total of 17 008 deaths due to respiratory diseases were reported in Qingyuan City from 2018 to 2022, with an average annual mortality of 88.63/105. The median mass concentrations of PM2.5, O3 and CO were 23.83 (interquartile range, 21.22), 53.00 (interquartile range, 32.82), and 770.83 (interquartile range, 295.29) μg/m3, respectively. The results of DLNM analysis showed that within the lag period of 0-7 days, the cumulative RR on respiratory disease mortality generally increased along with the rising concentrations of PM2.5, O3 and CO. On the exposure day (lag 0 day), high concentrations of PM2.5 (155.04 μg/m3) and CO (2 253.12 μg/m3) were associated with higher mortality risk, with the RR values of 1.520 (95%CI: 1.228-1.904) and 1.891 (95%CI: 1.650-2.314) respectively. A high O3 concentration (148.08 μg/m3) at lag 7 days also led to higher mortality risk, with an RR value of 1.341 (95%CI: 1.088-1.713). The AF of respiratory disease mortality related to PM2.5, O3 and CO exposure was 14.522% (95%CI: 4.320%-24.265%), 8.598% (95%CI: 3.760%-13.351%) and 24.994% (95%CI: 14.903%-34.056%) respectively. The attributable deaths were 2 469 (95%CI: 735-4 128), 1 463 (95%CI: 639-2 270) and 4 250 (95%CI: 2 534-5 793). Conclusions Concentrations of PM2.5, O3 and CO in Qingyuan City had a non-linear relationship with the mortality risk of respiratory diseases, which was affected by lag effects. Exposure to the three air pollutants imposed substantial attributable burdens on respiratory disease mortality. CO contributed the highest burden, followed by PM2.5 and O3.
Key wordsparticulate matter    ozone    carbon monoxide    respiratory diseases    distributed lag non-linear model    attributable risk
收稿日期: 2026-01-27      修回日期: 2026-06-04     
中图分类号:  R195  
基金资助:清远市科技计划项目(230914088723979)
作者简介: 张家泳,硕士,主管医师,主要从事传染病预防控制工作,E-mail:986219368@qq.com
引用本文:   
张家泳, 罗燕东, 郭莉敏. 大气污染物对清远市呼吸系统疾病死亡的影响[J]. 预防医学, 2026, 38(6): 630-634.
ZHANG Jiayong, LUO Yandong, GUO Limin. Effect of air pollutants on respiratory disease mortality in Qingyuan City. Preventive Medicine, 2026, 38(6): 630-634.
链接本文:  
https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2026.06.020      或      https://www.zjyfyxzz.com/CN/Y2026/V38/I6/630
[1] HU S L,XUE X W,XU J Y,et al.Association of short-term exposure to ambient air pollution and temperature with bronchiectasis mortality:a nationwide time-stratified case-crossover study[J/OL].EBioMedicine,2024,110[2026-06-04].http://doi.org/10.1016/j.ebiom.2024.105465.
[2] Health Effects Institute.State of global air2025:a report on air pollution and its role in the world's leading causes of death[EB/OL].[2026-06-04].https://www.stateofglobalair.org/resources.
[3] YU T C,JIANG Y X,CHEN R J,et al.National and provincial burden of disease attributable to fine particulate matter air pollution in China,1990-2021:an analysis of data from the Global Burden of Disease Study 2021[J].Lancet Planet Health,2025,9(3):174-185.
[4] DĄBROWIECKI P,BADYDA A,CHCIAŁOWSKI A,et al.Influence of selected air pollutants on mortality and pneumonia burden in three Polish Cities over the years 2011-2018[J/OL].J Clin Med,2022,11(11)[2026-06-04].http://doi.org/10.3390/jcm11113084.
[5] SUN W,DING C,JIANG Z Y,et al.The impact of ambient air pollution on allergic rhinitis symptoms:a prospective follow-up study[J/OL].Toxics,2024,12(9)[2026-06-04].http://doi.org/10.3390/toxics12090663.
[6] 清远市统计局.清远统计年鉴2023[M].北京:中国统计出版社,2023.
[7] GASPARRINI A,LEONE M.Attributable risk from distributed lag models[J/OL].BMC Med Res Methodol,2014,14(1)[2026-06-04].http://doi.org/10.1186/1471-2288-14-55.
[8] FENG Q,CHEN Y,SU S,et al.Acute effect of fine particulate matter and respiratory mortality in Changsha,China:a time-series analysis[J/OL].BMC Pulm Med,2022,22(1)[2026-06-04].http://doi.org/10.1186/s12890-022-02216-3.
[9] WU H,LU K K,FU J J.A time-series study for effects of ozone on respiratory mortality and cardiovascular mortality in Nanchang,Jiangxi Province,China[J/OL].Front Public Health,2022,10[2026-06-04].http://doi.org/10.3389/fpubh.2022.864537.
[10] SONG J H,QIU W H,HUANG X Z,et al.Association of ambient carbon monoxide exposure with hospitalization risk for respiratory diseases:a time series study in Ganzhou,China[J/OL].Front Public Health,2023,11[2026-06-04].http://doi.org/10.3389/fpubh.2023.1106336.
[11] HAO Q,GAO Q,ZHAO R,et al.The effect and attributable risk of daily temperature on category C infectious diarrhea in Guangdong Province,China[J].Environ Sci Pollut Res Int,2022,29(16):23963-23974.
[12] 李朝康,龚科米,吕烨,等.杭州市大气污染对居民死亡的影响研究[J].预防医学,2023,35(1):11-16.
[13] GRISALES-ROMERO H,PIÑEROS-JIMÉNEZ J G,NIETO E,et al.Local attributable burden disease to PM2.5 ambient air pollution in Medellín,Colombia,2010-2016[J/OL].F1000Research,2021,10[2026-06-04].http://doi.org/10.12688/f1000research.52025.2.
[14] GUAN M Y,SUN C Y,TANG D J,et al.A time-series analysis on the association between fine particulate matter and daily mortality:Shijiazhuang City,Hebei Province,China,2015-2020[J].China CDC Wkeely,2022,4(11):226-231.
[15] GOU A P,TAN G Z,DING X B,et al.Urban-rural difference in the lagged effects of PM2.5 and PM10 on COPD mortality in Chongqing,China[J/OL].BMC Public Health,2023,23(1)[2026-06-04].http://doi.org/10.1186/s12889-023-16113-9.
[16] 何敏. 中国96个区/县大气PM2.5、NO2和O3对人群死亡的急性效应及其交互作用[D].北京:中国疾病预防控制中心,2021.
[17] MANISALIDIS I,STAVROPOULOU E,STAVROPOULOS A,et al.Environmental and health impacts of air pollution:a review[J/OL].Front Public Health,2020,8[2026-06-04].http://doi.org/10.3389/fpubh.2020.00014.
[18] YANG Y,LI R,LI W,et al.The association between ambient air pollution and daily mortality in Beijing after the2008 Olympics:a time series study[J/OL].PLoS One,2013,8(10)[2026-06-04].https://doi.org/10.1371/journal.pone.0076759.
[1] 秦永发, 赵佳, 李辉, 陈静, 韩雪. 2010—2021年杨浦区4类慢性病过早死亡对期望寿命的影响[J]. 预防医学, 2026, 38(2): 130-134,139.
[2] 仲玮, 李伟伟, 相璐, 柴莉莉, 董建梅, 马昭君, 秦绪成, 张伟伟. 2011—2029年连云港市慢性呼吸系统疾病死亡趋势及预测研究[J]. 预防医学, 2026, 38(2): 181-186.
[3] 宋和佳, 孙炀明, 贾娟娟, 林云. 热浪对食源性疾病发病的影响[J]. 预防医学, 2025, 37(7): 673-676,681.
[4] 杨亚, 费洁, 杨怡玮, 张冰, 张倩, 陆一涵. 手足口病发病与气象因素的关联研究[J]. 预防医学, 2025, 37(4): 346-349,355.
[5] 梁海晴, 容思靖, 康会丽, 王军. PM2.5暴露对急性心肌梗死死亡和寿命损失的影响[J]. 预防医学, 2025, 37(11): 1145-1150.
[6] 孙秀秀, 沈建勇, 杨中荣, 罗小福, 张子喆. 气温对手足口病发病的影响研究[J]. 预防医学, 2025, 37(11): 1160-1164.
[7] 吴丹红, 王伟霞, 王良友, 乔冬菊, 黄依璐, 张嫣. 台州市4类慢性病死亡及早死概率分析[J]. 预防医学, 2024, 36(5): 428-431,436.
[8] 李树芬, 倪志松, 程传龙, 左慧, 梁珂梦, 宋思豪, 席睿, 杨淑霞, 崔峰, 李秀君. 隔日温差对呼吸系统疾病死亡风险的影响[J]. 预防医学, 2024, 36(10): 842-846,850.
[9] 王瑶, 潘璠, 张欢, 陈亚飞, 秦伟. 气温对六安市水痘发病风险的影响研究[J]. 预防医学, 2023, 35(8): 692-696.
[10] 范芳华, 王选, 张亚培, 肖震, 周瑛, 董世雷. 阳性血培养标本菌种快速鉴定及药敏试验方法研究[J]. 预防医学, 2023, 35(8): 732-736.
[11] 聂东梅, 李一鹏, 黄妍. 2012—2021年江门市4类慢性病早死概率分析[J]. 预防医学, 2023, 35(7): 602-606.
[12] 关新朋, 徐洪兵, 方嘉堃, 朱雨桐, 刘凌燕, 赵茜, 宋晓明, 徐保平, 黄薇. 大气NOX和NO2急性暴露与儿童呼吸系统疾病门诊量的关联研究[J]. 预防医学, 2023, 35(3): 185-189,195.
[13] 李朝康, 龚科米, 吕烨, 徐珊珊, 吕娜, 叶春, 朱冰, 刘卫艳, 高兵, 徐虹. 杭州市大气污染对居民死亡的影响研究[J]. 预防医学, 2023, 35(1): 11-16.
[14] 程伟, 周晓燕, 余昭, 刘社兰, 潘金仁, 凌锋, 陈恩富. 2016—2019年浙江省流行性感冒超额死亡率分析[J]. 预防医学, 2022, 34(9): 865-869.
[15] 徐琪, 叶辉, 朱冰, 傅华萍. 大气PM2.5与呼吸系统、心脑血管疾病急救病例数的相关性研究[J]. 预防医学, 2022, 34(7): 710-714.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed