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Article: Effects of coarse particulate matter on emergency hospital admissions for respiratory diseases: A time-series analysis in Hong Kong

TitleEffects of coarse particulate matter on emergency hospital admissions for respiratory diseases: A time-series analysis in Hong Kong
Authors
KeywordsFine particulate matter
Emergency hospital admissions
Coarse particulate matter
Time-series study
Respiratory diseases
Generalized additive model
Issue Date2012
Citation
Environmental Health Perspectives, 2012, v. 120, n. 4, p. 572-576 How to Cite?
AbstractBackground: Many epidemiological studies have linked daily counts of hospital admissions to particulate matter (PM) with an aerodynamic diameter ≤ 10 μm (PM 10) and ≤ 2.5 μm (PM 2.5), but relatively few have investigated the relationship of hospital admissions with coarse PM (PM c; 2.5-10 μm aerodynamic diameter). Objectives: We conducted this study to estimate the health effects of PM c on emergency hospital admissions for respiratory diseases in Hong Kong after controlling for PM 2.5 and gaseous pollutants. Methods: We conducted a time-series analysis of associations between daily emergency hospital admissions for respiratory diseases in Hong Kong from January 2000 to December 2005 and daily PM 2.5 and PM c concentrations. We estimated PMc concentrations by subtracting PM 2.5 from PM 10 measurements. We used generalized additive models to examine the relationship between PM c (single- and multiday lagged exposures) and hospital admissions adjusted for time trends, weather conditions, influenza outbreaks, PM 2.5, and gaseous pollutants (nitrogen dioxide, sulfur dioxide, and ozone). Results: A 10.9-μg/m 3 (interquartile range) increase in the 4-day moving average concentration of PM c was associated with a 1.94% (95% confidence interval: 1.24%, 2.64%) increase in emergency hospital admissions for respiratory diseases that was attenuated but still significant after controlling for PM 2.5. Adjusting for gaseous pollutants and altering models assumptions had little influence on PM c effect estimates. Conclusion: PM c was associated with emergency hospital admissions for respiratory diseases in Hong Kong independent of PM 2.5 and gaseous pollutants. Further research is needed to evaluate health effects of different components of PM c.
Persistent Identifierhttp://hdl.handle.net/10722/207030
ISSN
2015 Impact Factor: 8.443
2015 SCImago Journal Rankings: 3.529
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorQiu, Hong-
dc.contributor.authorYu, Ignatius-
dc.contributor.authorTian, Linwei-
dc.contributor.authorWang, Xiaorong-
dc.contributor.authorTse, Lapah-
dc.contributor.authorTam, Wilson-
dc.contributor.authorWong, Tzewai-
dc.date.accessioned2014-12-09T04:31:16Z-
dc.date.available2014-12-09T04:31:16Z-
dc.date.issued2012-
dc.identifier.citationEnvironmental Health Perspectives, 2012, v. 120, n. 4, p. 572-576-
dc.identifier.issn0091-6765-
dc.identifier.urihttp://hdl.handle.net/10722/207030-
dc.description.abstractBackground: Many epidemiological studies have linked daily counts of hospital admissions to particulate matter (PM) with an aerodynamic diameter ≤ 10 μm (PM 10) and ≤ 2.5 μm (PM 2.5), but relatively few have investigated the relationship of hospital admissions with coarse PM (PM c; 2.5-10 μm aerodynamic diameter). Objectives: We conducted this study to estimate the health effects of PM c on emergency hospital admissions for respiratory diseases in Hong Kong after controlling for PM 2.5 and gaseous pollutants. Methods: We conducted a time-series analysis of associations between daily emergency hospital admissions for respiratory diseases in Hong Kong from January 2000 to December 2005 and daily PM 2.5 and PM c concentrations. We estimated PMc concentrations by subtracting PM 2.5 from PM 10 measurements. We used generalized additive models to examine the relationship between PM c (single- and multiday lagged exposures) and hospital admissions adjusted for time trends, weather conditions, influenza outbreaks, PM 2.5, and gaseous pollutants (nitrogen dioxide, sulfur dioxide, and ozone). Results: A 10.9-μg/m 3 (interquartile range) increase in the 4-day moving average concentration of PM c was associated with a 1.94% (95% confidence interval: 1.24%, 2.64%) increase in emergency hospital admissions for respiratory diseases that was attenuated but still significant after controlling for PM 2.5. Adjusting for gaseous pollutants and altering models assumptions had little influence on PM c effect estimates. Conclusion: PM c was associated with emergency hospital admissions for respiratory diseases in Hong Kong independent of PM 2.5 and gaseous pollutants. Further research is needed to evaluate health effects of different components of PM c.-
dc.languageeng-
dc.relation.ispartofEnvironmental Health Perspectives-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectFine particulate matter-
dc.subjectEmergency hospital admissions-
dc.subjectCoarse particulate matter-
dc.subjectTime-series study-
dc.subjectRespiratory diseases-
dc.subjectGeneralized additive model-
dc.titleEffects of coarse particulate matter on emergency hospital admissions for respiratory diseases: A time-series analysis in Hong Kong-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1289/ehp.1104002-
dc.identifier.pmid22266709-
dc.identifier.pmcidPMC3339455-
dc.identifier.scopuseid_2-s2.0-84859309013-
dc.identifier.volume120-
dc.identifier.issue4-
dc.identifier.spage572-
dc.identifier.epage576-
dc.identifier.eissn1552-9924-

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