Double trouble: The interaction of PM2.5 and O3 on respiratory hospital admissions

被引:5
|
作者
Li, Jiachen [1 ,2 ]
Liang, Lirong [1 ,2 ]
Lyu, Baolei [3 ,4 ]
Cai, Yutong Samuel [5 ]
Zuo, Yingting [1 ,2 ]
Su, Jian [6 ]
Tong, Zhaohui [2 ,7 ]
机构
[1] Capital Med Univ, Beijing Inst Resp Med, Dept Clin Epidemiol, Beijing, Peoples R China
[2] Capital Med Univ, Beijing Chao Yang Hosp, Beijing, Peoples R China
[3] Huayun Sounding Meteorol Technol Corp, Beijing, Peoples R China
[4] Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Nanjing, Peoples R China
[5] Univ Leicester, Ctr Environm Hlth & Sustainabil, Dept Populat Hlth Sci, Leicester, England
[6] Capital Med Univ, Beijing Inst Resp Med, Dept Resp & Crit Care Med, Beijing, Peoples R China
[7] Capital Med Univ, Beijing Inst Resp Med, Dept Resp & Crit Care Med, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Air pollution; Ozone; Particulate matter; Respiratory hospitalizations; AMBIENT AIR-POLLUTION; TIME-SERIES; CHINA; POLLUTANTS; QUALITY; EXACERBATION; MORTALITY; EXPOSURE; DISEASE; BURDEN;
D O I
10.1016/j.envpol.2023.122665
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The co-occurrence of fine particulate matter (PM2.5) and ozone (O-3) pollution during the warm season has become a growing public health concern. The interaction between PM2.5 and O-3 and its contribution to disease burden associated with co-pollution has not been thoroughly examined. We collected data on hospital admissions for respiratory diseases from a city-wide hospital discharge database in Beijing between 2013 and 2019. City-wide 24-h mean PM2.5 and daily maximum 8-h mean O-3 were averaged from 35 monitoring stations across Beijing. Conditional Poisson regression was employed to estimate the interaction between warm-season PM2.5 and O-3 on respiratory admissions. A model incorporating a tensor product term was used to fit the non-linear interaction and estimate the number of respiratory admissions attributable to PM2.5 and O-3 pollution. From January 18, 2013 to December 31, 2019, 1,191,308 respiratory admissions were recorded. We observed multiplicative interactions between warm-season PM2.5 and O-3 on upper respiratory infections (P = 0.004), pneumonia (P = 0.002), chronic obstructive pulmonary disease (P = 0.041), and total respiratory disease (P < 0.001). PM2.5-O-3 co-pollution during warm season exhibited a super-additive effect on respiratory admissions, with a relative excess risk due to interaction of 1.65% (95%CI: 0.46%-2.84%). There was a non-linear pattern of the synergistic effect between PM2.5 and O-3 on respiratory admissions. Based on the World Health Organization global air quality guidelines, 12,421 respiratory admissions would be reduced if both daily PM2.5 and O-3 concentrations had not exceeded the target (PM2.5 15 mu g/m(3), O-3 100 mu g/m(3)). The number of respiratory admissions attributable to either PM2.5 or O-3 pollution decreased by 48.7% from 2013 to 2019. Prioritizing O-3 control during the warm season is a cost-effective strategy for Beijing. These findings underscore the significance of concurrently addressing both PM2.5 pollution and O-3 pollution during the warm season to alleviate the burden of respiratory diseases.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Drivers of alleviated PM2.5 and O3 concentrations in China from 2013 to 2020
    Shao, Tian
    Wang, Peng
    Yu, Wenxuan
    Gao, Yueqi
    Zhu, Shengqiang
    Zhang, Yi
    Hu, Donghao
    Zhang, Baojun
    Zhang, Hongliang
    RESOURCES CONSERVATION AND RECYCLING, 2023, 197
  • [42] Synergetic PM2.5 and O3 control strategy for the Yangtze River Delta, China
    Zhaoxin Dong
    Jia Xing
    Fenfen Zhang
    Shuxiao Wang
    Dian Ding
    Hongli Wang
    Cheng Huang
    Haotian Zheng
    Yueqi Jiang
    Jiming Hao
    Journal of Environmental Sciences, 2023, (01) : 281 - 291
  • [43] PM2.5 and tropospheric O3 in China and an analysis of the impact of pollutant emission control
    ZHANG Hua
    XIE Bing
    ZHAO Shu-Yun
    CHEN Qi
    AdvancesinClimateChangeResearch, 2014, 5 (03) : 136 - 141
  • [44] Evaluation of Different Chemical Mechanisms on O3 and PM2.5 Predictions in Alberta, Canada
    Shareef, Mujtaba
    Cho, Sunny
    Lyder, David
    Zelensky, Michael
    Heckbert, Scott
    APPLIED SCIENCES-BASEL, 2022, 12 (17):
  • [45] 沈阳市PM2.5与O3污染特征分析
    魏相男
    马云峰
    包慧玉
    赵慧洁
    孙学斌
    王帅
    侯乐
    环境工程, 2024, 42 (10) : 73 - 82
  • [46] The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China
    Bu, Qiaoli
    Hong, Yingying
    Tan, Haobo
    Liu, Li
    Wang, Chunlin
    Zhu, Jianjun
    Chan, Pakwai
    Chen, Chen
    AEROSOL AND AIR QUALITY RESEARCH, 2021, 21 (01) : 1 - 18
  • [47] Investigation of the PM2.5, NO2 and O3 I/O ratios for office and school microenvironments
    Kalimeri, Krystallia K.
    Bartzis, John G.
    Sakellaris, Ioannis A.
    Fernandes, Eduardo de Oliveira
    ENVIRONMENTAL RESEARCH, 2019, 179
  • [48] Particulate matter (PM2.5, PM10-2.5, and PM10) and children's hospital admissions for asthma and respiratory diseases:: A bidirectional case-crossover study
    Tecer, Lokman Hakan
    Alagha, Omar
    Karaca, Ferhat
    Tuncel, Guerdal
    Eldes, Nilufer
    JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A-CURRENT ISSUES, 2008, 71 (08): : 512 - 520
  • [49] Correlation of ambient particulate matters (PM10, PM2.5) with respiratory hospital admissions: a case-crossover study in Urmia, Iran
    Shakerkhatibi, Mohammad
    Seifipour, Hajar
    Sabeti, Zahra
    Kahe, Danian
    Asghari Jafarabadi, Mohammad
    Zoroufchi Benis, Khaled
    Hajaghazadeh, Mohammad
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2021, 27 (08): : 2184 - 2201
  • [50] Ambient Endotoxin and Chemical Pollutant (PM10, PM2.5, and O3) Levels in South Korea
    Hwang, Sung Ho
    Park, Dong Uk
    AEROSOL AND AIR QUALITY RESEARCH, 2019, 19 (04) : 786 - 793