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
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