Hospital admission risks and ambient fine particulate matter exposure in Beijing, China
|Corresponding Author||Pan，Xiaochuan; Liu，Yang|
Objective: To estimate the impact of short- and long-term exposure to PM on hospital admission (HA) risks of circulatory diseases, respiratory diseases, mental disorders, endocrine and metabolic diseases, allergic diseases, urogenital diseases and malignant tumors respectively in an exposed population (by gender and age groups). Methods: Based on the data of ambient PM concentration and HAs in Beijing from January 1, 2013 to December 31, 2014, the spatial-temporal method is employed for a mixed Poisson regression model to integrate both short- and long-term exposure simultaneously when estimating the risk of HAs in the whole and subgroup population. Results: The HA risks of mental disorders, urogenital diseases, diabetes and malignant tumors of the exposed population were associated with higher short-term ambient PM exposure. Positive associations between long-term PM exposure and the HAs were found for ischemic stroke, respiratory diseases, endocrine and metabolic diseases, allergic diseases, urogenital diseases, and malignant tumors (except lung cancer). The estimates of PM-HA associations varied by sex and age groups. Conclusion: Ambient PM levels were positively associated with previously identified causes of HAs such as circulatory and respiratory diseases, as well as several prevalent but rarely studied diseases such as mental disorders, endocrine and metabolic diseases, allergic diseases, urogenital diseases, and malignant tumors (except lung cancer). The health losses caused by PM exposure could be underestimated if only circulatory and respiratory diseases were considered. Sex and age were modifying factors for the PM-HA associations.
China Scholarship Council;National Natural Science Foundation of China;
|WOS Research Area|
Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
Environmental Sciences ; Meteorology & Atmospheric Sciences
|WOS Accession No|
|EI Accession Number|
Biological organs ; Hospitals ; Particles (particulate matter) ; Population statistics ; Pulmonary diseases ; Regression analysis ; Risk perception ; Tumors
|ESI Classification Code|
Biological Materials and Tissue Engineering:461.2 ; Medicine and Pharmacology:461.6 ; Hospitals, Equipment and Supplies:462.2 ; Accidents and Accident Prevention:914.1 ; Mathematical Statistics:922.2 ; Materials Science:951
|ESI Research Field|
Cited Times [WOS]:0
|Document Type||Journal Article|
|Department||School of Public Health and Emergency Management|
1.Department of Occupational and Environmental Health,School of Public Health,Peking University,Beijing,100191,China
2.Department of Health Policy and Management,Yale School of Public Health,New Haven,06510,United States
3.National School of Development,Peking University,Beijing,100871,China
4.Institute for Global Health and Development,Peking University,Beijing,100871,China
5.School of Public Health and Emergency Management,Southern University of Science and Technology,Shenzhen,Guangdong,518055,China
6.Department of Economics,Yale University,New Haven,06511,United States
7.Department of Health Policy and Management,School of Public Health,Peking University,Beijing,100191,China
8.Department of Environmental Health,Rollins School of Public Health,Emory University,Atlanta,30322,United States
Wu，Ziting,Liang，Fengchao,Chen，Xi,et al. Hospital admission risks and ambient fine particulate matter exposure in Beijing, China[J]. ATMOSPHERIC ENVIRONMENT,2022,288.
Wu，Ziting.,Liang，Fengchao.,Chen，Xi.,Liu，Gordon G..,Li，Guoxing.,...&Liu，Yang.(2022).Hospital admission risks and ambient fine particulate matter exposure in Beijing, China.ATMOSPHERIC ENVIRONMENT,288.
Wu，Ziting,et al."Hospital admission risks and ambient fine particulate matter exposure in Beijing, China".ATMOSPHERIC ENVIRONMENT 288(2022).
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