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
  • [21] A Study on the Seasonal Correlation between O3 and PM2.5 in Seoul in 2017
    Lee, Ha Kyung
    Choi, Eun Lak
    Lee, Hyun Ji
    Lee, Su Young
    Lee, Ji Yi
    JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2020, 36 (04) : 533 - 542
  • [22] Ambient PM2.5 and O3 pollution and health impacts in Iranian megacity
    Rajab Rashidi
    Yusef Omidi Khaniabadi
    Pierre Sicard
    Alessandra De Marco
    Khatereh Anbari
    Stochastic Environmental Research and Risk Assessment, 2023, 37 : 175 - 184
  • [23] A numerical study of reducing the concentration of O3 and PM2.5 simultaneously in Taiwan
    Chuang, Ming-Tung
    Chou, Charles C. -K
    Lin, Chuan-Yao
    Lee, Ja-Huai
    Lin, Wei-Che
    Chen, Yi-Ying
    Chang, Chih-Chung
    Lee, Chung-Te
    Kong, Steven Soon-Kai
    Lin, Tang-Huang
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 318
  • [24] Research on the influence of VOCs on the coupling generation of PM2.5 and O3 in Shenzhen
    Feng, Ning
    Tang, Meng-Xue
    Li, Meng-Lin
    Chen, Yao
    Cao, Li-Ming
    He, Ling-Yan
    Huang, Xiao-Feng
    Zhongguo Huanjing Kexue/China Environmental Science, 2021, 41 (01): : 11 - 17
  • [25] Ambient PM2.5 and O3 pollution and health impacts in Iranian megacity
    Rashidi, Rajab
    Khaniabadi, Yusef Omidi
    Sicard, Pierre
    De Marco, Alessandra
    Anbari, Khatereh
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2023, 37 (01) : 175 - 184
  • [26] PM2.5 and O3 concentration estimation based on interpretable machine learning
    Wang, Siyuan
    Ren, Ying
    Xia, Bisheng
    ATMOSPHERIC POLLUTION RESEARCH, 2023, 14 (09)
  • [27] Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China
    Wang, Pengfei
    Guo, Hao
    Hu, Jianlin
    Kota, Sri Harsha
    Ying, Qi
    Zhang, Hongliang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 662 : 297 - 306
  • [28] Assessing the importance of nonlinearity for aircraft emissions' impact on O3 and PM2.5
    Arter, Calvin A.
    Arunachalam, Saravanan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 777
  • [29] Downwind O3 and PM2.5 speciation during the wildfires in 2002 and 2010
    Kang, Choong-Min
    Gold, Diane
    Koutrakis, Petros
    ATMOSPHERIC ENVIRONMENT, 2014, 95 : 511 - 519
  • [30] Ambient PM2.5 and Daily Hospital Admissions for Acute Respiratory Infections: Effect Modification by Weight Status of Child
    Nishikawa, Hironori
    Ng, Chris Fook Sheng
    Madaniyazi, Lina
    Seposo, Xerxes Tesoro
    Dhoubhadel, Bhim Gopal
    Pokhrel, Dhiraj
    Pokhrel, Amod K.
    Verma, Sharat Chandra
    Shrestha, Dhruba
    Raya, Ganendra Bhakta
    Hashizume, Masahiro
    ATMOSPHERE, 2021, 12 (08)