Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China

Abstract Background Positive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of a megalopolis. In addition, most studies in China have us...

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Main Authors: Zhan Ren, Xingyuan Liu, Tianyu Liu, Dieyi Chen, Kuizhuang Jiao, Xiaodie Wang, Jingdong Suo, Haomin Yang, Jingling Liao, Lu Ma
Format: Article
Language:English
Published: BMC 2021-04-01
Series:Respiratory Research
Subjects:
Online Access:https://doi.org/10.1186/s12931-021-01731-x
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spelling doaj-aab8c7f463664a0fa804075fb9e16f5b2021-05-02T11:17:09ZengBMCRespiratory Research1465-993X2021-04-0122111110.1186/s12931-021-01731-xEffect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, ChinaZhan Ren0Xingyuan Liu1Tianyu Liu2Dieyi Chen3Kuizhuang Jiao4Xiaodie Wang5Jingdong Suo6Haomin Yang7Jingling Liao8Lu Ma9Wuhan University School of Health SciencesWuhan Information Center of Health and Family PlanningWuhan University School of Health SciencesDepartment of Biostatistics, Yale UniversityWuhan University School of Health SciencesWuhan University School of Health SciencesWuhan University School of Health SciencesWuhan University School of Health SciencesDepartment of Nutrition and Food Hygiene, School of Public Health, Medical College, Wuhan University of Science and TechnologyWuhan University School of Health SciencesAbstract Background Positive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of a megalopolis. In addition, most studies in China have used averaged data, which results in variations between monitoring and personal exposure values, creating an inherent and unavoidable type of measurement error. Methods This study was conducted in Wuhan, a megacity in central China with about 10.9 million people. Daily hospital admission records, from October 2016 to December 2018, were obtained from the Wuhan Information center of Health and Family Planning, which administrates all hospitals in Wuhan. Daily air pollution concentrations and weather variables in Wuhan during the study period were collected. We developed a land use regression model (LUR) to assess individual PM2.5 exposure. Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposure to PM2.5. We also conducted stratification analyses by age, sex, and season. Results A total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 cardiovascular disease admissions and 159,365 respiratory disease admissions. Short-term exposure to PM2.5 was associated with an increased risk of a cardiorespiratory hospital admission. A 10 μg/m3 increase in PM2.5 (lag0–2 days) was associated with an increase in hospital admissions of 1.23% (95% CI 1.01–1.45%) and 1.95% (95% CI 1.63–2.27%) for cardiovascular and respiratory diseases, respectively. The elderly were at higher PM-induced risk. The associations appeared to be more evident in the cold season than in the warm season. Conclusions This study contributes evidence of short-term effects of PM2.5 on cardiorespiratory hospital admissions, which may be helpful for air pollution control and disease prevention in Wuhan.https://doi.org/10.1186/s12931-021-01731-xAir pollutionParticulate matterSpatial epidemiologyCase-crossover study
collection DOAJ
language English
format Article
sources DOAJ
author Zhan Ren
Xingyuan Liu
Tianyu Liu
Dieyi Chen
Kuizhuang Jiao
Xiaodie Wang
Jingdong Suo
Haomin Yang
Jingling Liao
Lu Ma
spellingShingle Zhan Ren
Xingyuan Liu
Tianyu Liu
Dieyi Chen
Kuizhuang Jiao
Xiaodie Wang
Jingdong Suo
Haomin Yang
Jingling Liao
Lu Ma
Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China
Respiratory Research
Air pollution
Particulate matter
Spatial epidemiology
Case-crossover study
author_facet Zhan Ren
Xingyuan Liu
Tianyu Liu
Dieyi Chen
Kuizhuang Jiao
Xiaodie Wang
Jingdong Suo
Haomin Yang
Jingling Liao
Lu Ma
author_sort Zhan Ren
title Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China
title_short Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China
title_full Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China
title_fullStr Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China
title_full_unstemmed Effect of ambient fine particulates (PM2.5) on hospital admissions for respiratory and cardiovascular diseases in Wuhan, China
title_sort effect of ambient fine particulates (pm2.5) on hospital admissions for respiratory and cardiovascular diseases in wuhan, china
publisher BMC
series Respiratory Research
issn 1465-993X
publishDate 2021-04-01
description Abstract Background Positive associations between ambient PM2.5 and cardiorespiratory disease have been well demonstrated during the past decade. However, few studies have examined the adverse effects of PM2.5 based on an entire population of a megalopolis. In addition, most studies in China have used averaged data, which results in variations between monitoring and personal exposure values, creating an inherent and unavoidable type of measurement error. Methods This study was conducted in Wuhan, a megacity in central China with about 10.9 million people. Daily hospital admission records, from October 2016 to December 2018, were obtained from the Wuhan Information center of Health and Family Planning, which administrates all hospitals in Wuhan. Daily air pollution concentrations and weather variables in Wuhan during the study period were collected. We developed a land use regression model (LUR) to assess individual PM2.5 exposure. Time-stratified case-crossover design and conditional logistic regression models were adopted to estimate cardiorespiratory hospitalization risks associated with short-term exposure to PM2.5. We also conducted stratification analyses by age, sex, and season. Results A total of 2,806,115 hospital admissions records were collected during the study period, from which we identified 332,090 cardiovascular disease admissions and 159,365 respiratory disease admissions. Short-term exposure to PM2.5 was associated with an increased risk of a cardiorespiratory hospital admission. A 10 μg/m3 increase in PM2.5 (lag0–2 days) was associated with an increase in hospital admissions of 1.23% (95% CI 1.01–1.45%) and 1.95% (95% CI 1.63–2.27%) for cardiovascular and respiratory diseases, respectively. The elderly were at higher PM-induced risk. The associations appeared to be more evident in the cold season than in the warm season. Conclusions This study contributes evidence of short-term effects of PM2.5 on cardiorespiratory hospital admissions, which may be helpful for air pollution control and disease prevention in Wuhan.
topic Air pollution
Particulate matter
Spatial epidemiology
Case-crossover study
url https://doi.org/10.1186/s12931-021-01731-x
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