The Association between Short-Term Exposure to PM1 and Daily Hospital Admission and Related Expenditures in Beijing

被引:0
|
作者
Xu, Jingwen [1 ]
Chen, Yan [2 ]
Lu, Feng [3 ]
Chen, Lili [4 ]
Dong, Zhaomin [5 ]
机构
[1] Kings Coll London, Fac Life Sci & Med, Sch Canc & Pharmaceut Sci, London SE1 1UL, England
[2] Ganzhou Peoples Hosp, Ganzhou 341000, Peoples R China
[3] Beijing Municipal Hlth Big Data & Policy Res Ctr, Beijing 100034, Peoples R China
[4] Southeast Univ, Sch Publ Hlth, Nanjing 210009, Peoples R China
[5] Beihang Univ, Sch Mat Sci & Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
PM1; hospital admission; hospital expenditures; COPD; Beijing; PARTICULATE AIR-POLLUTION; OBSTRUCTIVE PULMONARY-DISEASE; DAILY MORTALITY; CHINA; MATTER; HEALTH; POLLUTANTS; PARTICLES; VISITS; BURDEN;
D O I
10.3390/toxics12060393
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ambient particulate matter (PM) pollution is a leading environmental health threat worldwide. PM with an aerodynamic diameter <= 1.0 mu m, also known as PM1, has been implicated in the morbidity and mortality of several cardiorespiratory and cerebrovascular diseases. However, previous studies have mostly focused on analyzing fine PM (PM2.5) associated with disease metrics, such as emergency department visits and mortality, rather than ultrafine PM, including PM1. This study aimed to evaluate the association between short-term PM1 exposure and hospital admissions (HAs) for all-cause diseases, chronic obstructive pulmonary disease (COPD), and respiratory infections (RIs), as well as the associated expenditures, using Beijing as a case study. Here, based on air pollution and hospital admission data in Beijing from 2015 to 2017, we performed a time-series analysis and meta-analysis. It was found that a 10 mu g/m(3) increase in the PM1 concentration significantly increased all-cause disease HAs by 0.07% (95% Confidence Interval (CI): [0, 0.14%]) in Beijing between 2015 and 2017, while the COPD and RI-related HAs were not significantly associated with short-term PM1 exposure. Meanwhile, we estimated the attributable number of HAs and hospital expenditures related to all-cause diseases. This study revealed that an average of 6644 (95% CI: [351, 12,917]) cases of HAs were attributable to ambient PM1, which was estimated to be associated with a 106 million CNY increase in hospital expenditure annually (95% CI: [5.6, 207]), accounting for 0.32% (95% CI: [0.02, 0.62%]) of the annual total expenses. The findings reported here highlight the underlying impact of ambient PM pollution on health risks and economic burden to society and indicate the need for further policy actions on public health.
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页数:15
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