Short-term effect of concentrations of fine particulate matter on hospital admissions due to cardiovascular and respiratory causes among the over-75 age group in Madrid, Spain.
Identifieur interne : 000466 ( Main/Exploration ); précédent : 000465; suivant : 000467Short-term effect of concentrations of fine particulate matter on hospital admissions due to cardiovascular and respiratory causes among the over-75 age group in Madrid, Spain.
Auteurs : C. Linares [Espagne] ; J. DíazSource :
- Public health [ 1476-5616 ] ; 2010.
Descripteurs français
- KwdFr :
- Admission du patient (statistiques et données numériques), Espagne (épidémiologie), Facteurs temps (MeSH), Facteurs âges (MeSH), Humains (MeSH), Hôpitaux universitaires (MeSH), Loi de Poisson (MeSH), Maladies cardiovasculaires (épidémiologie), Maladies cardiovasculaires (étiologie), Maladies de l'appareil respiratoire (épidémiologie), Maladies de l'appareil respiratoire (étiologie), Matière particulaire (analyse), Matière particulaire (effets indésirables), Pollution de l'air (analyse), Pollution de l'air (effets indésirables), Sujet âgé (MeSH), Surveillance de l'environnement (MeSH), Surveillance épidémiologique (MeSH), Taille de particule (MeSH), Études longitudinales (MeSH).
- MESH :
- analyse : Matière particulaire, Pollution de l'air.
- effets indésirables : Matière particulaire, Pollution de l'air.
- statistiques et données numériques : Admission du patient.
- épidémiologie : Espagne, Maladies cardiovasculaires, Maladies de l'appareil respiratoire.
- étiologie : Maladies cardiovasculaires, Maladies de l'appareil respiratoire.
- Facteurs temps, Facteurs âges, Humains, Hôpitaux universitaires, Loi de Poisson, Sujet âgé, Surveillance de l'environnement, Surveillance épidémiologique, Taille de particule, Études longitudinales.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Age Factors (MeSH), Aged (MeSH), Air Pollution (adverse effects), Air Pollution (analysis), Cardiovascular Diseases (epidemiology), Cardiovascular Diseases (etiology), Environmental Monitoring (MeSH), Epidemiological Monitoring (MeSH), Hospitals, University (MeSH), Humans (MeSH), Longitudinal Studies (MeSH), Particle Size (MeSH), Particulate Matter (adverse effects), Particulate Matter (analysis), Patient Admission (statistics & numerical data), Poisson Distribution (MeSH), Respiratory Tract Diseases (epidemiology), Respiratory Tract Diseases (etiology), Spain (epidemiology), Time Factors (MeSH).
- MESH :
- chemical , adverse effects : Particulate Matter.
- geographic , epidemiology : Spain.
- adverse effects : Air Pollution.
- analysis : Air Pollution, Particulate Matter.
- epidemiology : Cardiovascular Diseases, Respiratory Tract Diseases.
- etiology : Cardiovascular Diseases, Respiratory Tract Diseases.
- statistics & numerical data : Patient Admission.
- Age Factors, Aged, Environmental Monitoring, Epidemiological Monitoring, Hospitals, University, Humans, Longitudinal Studies, Particle Size, Poisson Distribution, Time Factors.
Abstract
OBJECTIVES
This study sought to analyse the effect of daily mean concentrations of fine particulate matter (diameter <2.5 microm; PM(2.5)) on hospital admissions due to circulatory and respiratory causes among an elderly population (>75 years) in Madrid between 2003 and 2005.
STUDY DESIGN
Ecological longitudinal time-series study.
METHODS
The dependent variable used was the daily number of emergency hospital admissions registered at the Gregorio Marañón University Teaching Hospital. The following causes were analysed: all causes [International Classification of Diseases 9th Version (ICD-9:1-799)], respiratory causes (ICD-9: 460-519) and circulatory causes (ICD-9: 390-459). Analysis focused on subjects over 75 years of age. Daily records of mean concentrations of PM(2.5), PM(10), NO(2), NO(x), SO(2) and O(3) in Madrid were used as independent variables. The control variables were seasonalities, trend, influenza epidemics, noise and pollen concentrations. Poisson regression models were constructed to calculate the relative risk (RR) and attributable risk (AR). Analyses were performed for the entire year and for the winter and summer.
RESULTS
PM(2.5) was the single primary pollutant that proved statistically significant in all models. The functional relationship with hospital admissions was linear and had no threshold. Taking the year as a whole, the RRs among people over 75 years of age for an increase of 10 microg/m(3) in PM(2.5) concentrations were: 1.038 [95% confidence interval (CI) 1.022-1.053] for all causes at lag 0; 1.062 (95% CI 1.036-1.089) for circulatory causes at lag 0; and 1.049 (95% CI 1.019-1.078) for respiratory causes at lag 3. The ARs were 3.6%, 5.9% and 4.6%, respectively. These risks increased in winter and no statistically significant associations were observed in summer. PM(2.5) was the only primary pollutant that showed a statistically significant association with hospital admissions among people over 75 years of age in Madrid across the study period.
CONCLUSION
Measures should be implemented to reduce PM(2.5) concentrations in Madrid.
DOI: 10.1016/j.puhe.2009.11.007
PubMed: 20060145
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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PM(2.5)) on hospital admissions due to circulatory and respiratory causes among an elderly population (>75 years) in Madrid between 2003 and 2005.</p></div><div type="abstract" xml:lang="en"><p><b>STUDY DESIGN</b></p><p>Ecological longitudinal time-series study.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>The dependent variable used was the daily number of emergency hospital admissions registered at the Gregorio Marañón University Teaching Hospital. The following causes were analysed: all causes [International Classification of Diseases 9th Version (ICD-9:1-799)], respiratory causes (ICD-9: 460-519) and circulatory causes (ICD-9: 390-459). Analysis focused on subjects over 75 years of age. Daily records of mean concentrations of PM(2.5), PM(10), NO(2), NO(x), SO(2) and O(3) in Madrid were used as independent variables. The control variables were seasonalities, trend, influenza epidemics, noise and pollen concentrations. Poisson regression models were constructed to calculate the relative risk (RR) and attributable risk (AR). Analyses were performed for the entire year and for the winter and summer.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>PM(2.5) was the single primary pollutant that proved statistically significant in all models. The functional relationship with hospital admissions was linear and had no threshold. Taking the year as a whole, the RRs among people over 75 years of age for an increase of 10 microg/m(3) in PM(2.5) concentrations were: 1.038 [95% confidence interval (CI) 1.022-1.053] for all causes at lag 0; 1.062 (95% CI 1.036-1.089) for circulatory causes at lag 0; and 1.049 (95% CI 1.019-1.078) for respiratory causes at lag 3. The ARs were 3.6%, 5.9% and 4.6%, respectively. These risks increased in winter and no statistically significant associations were observed in summer. PM(2.5) was the only primary pollutant that showed a statistically significant association with hospital admissions among people over 75 years of age in Madrid across the study period.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Measures should be implemented to reduce PM(2.5) concentrations in Madrid.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20060145</PMID><DateCompleted><Year>2010</Year><Month>04</Month><Day>28</Day></DateCompleted><DateRevised><Year>2012</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1476-5616</ISSN><JournalIssue CitedMedium="Internet"><Volume>124</Volume><Issue>1</Issue><PubDate><Year>2010</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Public health</Title><ISOAbbreviation>Public Health</ISOAbbreviation></Journal><ArticleTitle>Short-term effect of concentrations of fine particulate matter on hospital admissions due to cardiovascular and respiratory causes among the over-75 age group in Madrid, Spain.</ArticleTitle><Pagination><MedlinePgn>28-36</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.puhe.2009.11.007</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">This study sought to analyse the effect of daily mean concentrations of fine particulate matter (diameter <2.5 microm; PM(2.5)) on hospital admissions due to circulatory and respiratory causes among an elderly population (>75 years) in Madrid between 2003 and 2005.</AbstractText><AbstractText Label="STUDY DESIGN" NlmCategory="METHODS">Ecological longitudinal time-series study.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">The dependent variable used was the daily number of emergency hospital admissions registered at the Gregorio Marañón University Teaching Hospital. The following causes were analysed: all causes [International Classification of Diseases 9th Version (ICD-9:1-799)], respiratory causes (ICD-9: 460-519) and circulatory causes (ICD-9: 390-459). Analysis focused on subjects over 75 years of age. Daily records of mean concentrations of PM(2.5), PM(10), NO(2), NO(x), SO(2) and O(3) in Madrid were used as independent variables. The control variables were seasonalities, trend, influenza epidemics, noise and pollen concentrations. Poisson regression models were constructed to calculate the relative risk (RR) and attributable risk (AR). Analyses were performed for the entire year and for the winter and summer.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">PM(2.5) was the single primary pollutant that proved statistically significant in all models. The functional relationship with hospital admissions was linear and had no threshold. Taking the year as a whole, the RRs among people over 75 years of age for an increase of 10 microg/m(3) in PM(2.5) concentrations were: 1.038 [95% confidence interval (CI) 1.022-1.053] for all causes at lag 0; 1.062 (95% CI 1.036-1.089) for circulatory causes at lag 0; and 1.049 (95% CI 1.019-1.078) for respiratory causes at lag 3. The ARs were 3.6%, 5.9% and 4.6%, respectively. These risks increased in winter and no statistically significant associations were observed in summer. PM(2.5) was the only primary pollutant that showed a statistically significant association with hospital admissions among people over 75 years of age in Madrid across the study period.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Measures should be implemented to reduce PM(2.5) concentrations in Madrid.</AbstractText><CopyrightInformation>Copyright 2009 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Linares</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Díaz</LastName><ForeName>J</ForeName><Initials>J</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>01</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Public Health</MedlineTA><NlmUniqueID>0376507</NlmUniqueID><ISSNLinking>0033-3506</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D052638">Particulate Matter</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000397" MajorTopicYN="N">Air Pollution</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002318" MajorTopicYN="N">Cardiovascular Diseases</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="Y">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D062665" MajorTopicYN="N">Epidemiological Monitoring</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006785" MajorTopicYN="N">Hospitals, University</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008137" MajorTopicYN="N">Longitudinal Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010316" MajorTopicYN="N">Particle Size</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D052638" MajorTopicYN="N">Particulate Matter</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010343" MajorTopicYN="N">Patient Admission</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016012" MajorTopicYN="N">Poisson Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012140" MajorTopicYN="N">Respiratory Tract Diseases</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="Y">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2009</Year><Month>02</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2009</Year><Month>10</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2009</Year><Month>11</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>1</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>1</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>4</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">20060145</ArticleId><ArticleId IdType="pii">S0033-3506(09)00356-4</ArticleId><ArticleId IdType="doi">10.1016/j.puhe.2009.11.007</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li></country><region><li>Communauté de Madrid</li></region><settlement><li>Madrid</li></settlement></list><tree><noCountry><name sortKey="Diaz, J" sort="Diaz, J" uniqKey="Diaz J" first="J" last="Díaz">J. Díaz</name></noCountry><country name="Espagne"><region name="Communauté de Madrid"><name sortKey="Linares, C" sort="Linares, C" uniqKey="Linares C" first="C" last="Linares">C. Linares</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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