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Associations of PM(2.5) and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China
In January 2013, severe haze events over northeastern China sparked substantial health concerns. This study explores the associations of fine particulate matter less than 2.5 μm (PM(2.5)) and black carbon (BC) with hospital emergency room visits (ERVs) during a haze season in Beijing. During that pe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551163/ https://www.ncbi.nlm.nih.gov/pubmed/28678202 http://dx.doi.org/10.3390/ijerph14070725 |
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author | Liang, Fengchao Tian, Lin Guo, Qun Westerdahl, Dane Liu, Yang Jin, Xiaobin Li, Guoxing Pan, Xiaochuan |
author_facet | Liang, Fengchao Tian, Lin Guo, Qun Westerdahl, Dane Liu, Yang Jin, Xiaobin Li, Guoxing Pan, Xiaochuan |
author_sort | Liang, Fengchao |
collection | PubMed |
description | In January 2013, severe haze events over northeastern China sparked substantial health concerns. This study explores the associations of fine particulate matter less than 2.5 μm (PM(2.5)) and black carbon (BC) with hospital emergency room visits (ERVs) during a haze season in Beijing. During that period, daily counts of ERVs for respiratory, cardiovascular and ocular diseases were obtained from a Level-3A hospital in Beijing from 1 December 2012 to 28 February 2013, and associations of which with PM(2.5) and BC were estimated by time-stratified case-crossover analysis in single- and two-pollutant models. We found a 27.5% (95% confidence interval (CI): 13.0, 43.9%) increase in respiratory ERV (lag02), a 19.4% (95% CI: 2.5, 39.0%) increase in cardiovascular ERV (lag0), and a 12.6% (95% CI: 0.0, 26.7%) increase in ocular ERV (lag0) along with an interquartile range (IQR) increase in the PM(2.5). An IQR increase of BC was associated with 27.6% (95% CI: 9.6, 48.6%) (lag02), 18.8% (95% CI: 1.4, 39.2%) (lag0) and 11.8% (95% CI: −1.4, 26.8%) (lag0) increases for changes in these same health outcomes respectively. Estimated associations were consistent after adjusting SO(2) or NO(2) in two-pollutant models. This study provides evidence that improving air quality and reducing haze days would greatly benefit the population health. |
format | Online Article Text |
id | pubmed-5551163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-55511632017-08-11 Associations of PM(2.5) and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China Liang, Fengchao Tian, Lin Guo, Qun Westerdahl, Dane Liu, Yang Jin, Xiaobin Li, Guoxing Pan, Xiaochuan Int J Environ Res Public Health Article In January 2013, severe haze events over northeastern China sparked substantial health concerns. This study explores the associations of fine particulate matter less than 2.5 μm (PM(2.5)) and black carbon (BC) with hospital emergency room visits (ERVs) during a haze season in Beijing. During that period, daily counts of ERVs for respiratory, cardiovascular and ocular diseases were obtained from a Level-3A hospital in Beijing from 1 December 2012 to 28 February 2013, and associations of which with PM(2.5) and BC were estimated by time-stratified case-crossover analysis in single- and two-pollutant models. We found a 27.5% (95% confidence interval (CI): 13.0, 43.9%) increase in respiratory ERV (lag02), a 19.4% (95% CI: 2.5, 39.0%) increase in cardiovascular ERV (lag0), and a 12.6% (95% CI: 0.0, 26.7%) increase in ocular ERV (lag0) along with an interquartile range (IQR) increase in the PM(2.5). An IQR increase of BC was associated with 27.6% (95% CI: 9.6, 48.6%) (lag02), 18.8% (95% CI: 1.4, 39.2%) (lag0) and 11.8% (95% CI: −1.4, 26.8%) (lag0) increases for changes in these same health outcomes respectively. Estimated associations were consistent after adjusting SO(2) or NO(2) in two-pollutant models. This study provides evidence that improving air quality and reducing haze days would greatly benefit the population health. MDPI 2017-07-05 2017-07 /pmc/articles/PMC5551163/ /pubmed/28678202 http://dx.doi.org/10.3390/ijerph14070725 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liang, Fengchao Tian, Lin Guo, Qun Westerdahl, Dane Liu, Yang Jin, Xiaobin Li, Guoxing Pan, Xiaochuan Associations of PM(2.5) and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China |
title | Associations of PM(2.5) and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China |
title_full | Associations of PM(2.5) and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China |
title_fullStr | Associations of PM(2.5) and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China |
title_full_unstemmed | Associations of PM(2.5) and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China |
title_short | Associations of PM(2.5) and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China |
title_sort | associations of pm(2.5) and black carbon with hospital emergency room visits during heavy haze events: a case study in beijing, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551163/ https://www.ncbi.nlm.nih.gov/pubmed/28678202 http://dx.doi.org/10.3390/ijerph14070725 |
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