Role of Saharan dust in the relationship between particulate matter and short-term daily mortality among the elderly in Madrid (Spain).
Identifieur interne : 000470 ( Main/Exploration ); précédent : 000469; suivant : 000471Role of Saharan dust in the relationship between particulate matter and short-term daily mortality among the elderly in Madrid (Spain).
Auteurs : E. Jiménez [Espagne] ; C. Linares ; D. Martínez ; J. DíazSource :
- The Science of the total environment [ 1879-1026 ] ; 2010.
Descripteurs français
- KwdFr :
- Afrique du Nord (MeSH), Climat désertique (effets indésirables), Espagne (MeSH), Humains (MeSH), Matière particulaire (analyse), Matière particulaire (toxicité), Mortalité (MeSH), Polluants atmosphériques (analyse), Polluants atmosphériques (toxicité), Pollution de l'air (statistiques et données numériques), Poussière (analyse), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH).
- MESH :
- analyse : Matière particulaire, Polluants atmosphériques, Poussière.
- effets indésirables : Climat désertique.
- statistiques et données numériques : Pollution de l'air.
- toxicité : Matière particulaire, Polluants atmosphériques.
- Afrique du Nord, Espagne, Humains, Mortalité, Sujet âgé, Sujet âgé de 80 ans ou plus.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Africa, Northern (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Air Pollutants (analysis), Air Pollutants (toxicity), Air Pollution (statistics & numerical data), Desert Climate (adverse effects), Dust (analysis), Humans (MeSH), Mortality (MeSH), Particulate Matter (analysis), Particulate Matter (toxicity), Spain (MeSH).
- MESH :
- chemical , analysis : Air Pollutants, Dust, Particulate Matter.
- chemical , toxicity : Air Pollutants, Particulate Matter.
- geographic : Africa, Northern, Spain.
- adverse effects : Desert Climate.
- statistics & numerical data : Air Pollution.
- Aged, Aged, 80 and over, Humans, Mortality.
Abstract
BACKGROUND
Saharan dust outbreaks are a common phenomenon in the Madrid atmosphere. The current Directive 2008/50 CE governing air quality in European cities, draws no distinction between which particulate matter (PM(10), PM(2.5) or PM(10-2.5)) would be the best indicator on days with/without Saharan dust intrusions. This study sought to identify the role played by Saharan dust in the relationship between particulate matter (PM(10), PM(2.5) and PM(10-2.5)) concentrations and daily mortality among the elderly in the city of Madrid.
METHODS
We conducted an ecological longitudinal time-series study on daily mortality among the over-75 age group, from 2003 to 2005. Poisson regression models were constructed for days with and without Saharan dust intrusions. The following causes of daily mortality were analysed: total organic causes except accidents (International Classification of Diseases-10th revision (ICD-10): A00-R99); circulatory causes (ICD-10: I00-I99); and respiratory causes (ICD-10: J00-J99). Daily mean PM(10), PM(2.5) and PM(10-2.5) levels were used as independent variables. Control variables were: other ambient pollutants (chemical, biotic and acoustic); trend; seasonalities; influenza epidemics; and autocorrelations between mortality series.
RESULTS
While daily mean PM(2.5) concentrations in Madrid displayed a significant statistical association with daily mortality for all the above causes on days without Saharan dust intrusions, this association was not in evidence for PM(10) or PM(10-2.5) in the multivariate models. The relative risks (RRs) obtained for an increase of 10 μg/m(3) in PM(2.5) concentrations were: 1.023 (1.010-1.036) for total organic causes; 1.033 (1.031-1.035) for circulatory causes; and 1.032 (1.004-1.059) for respiratory causes. On Saharan dust days, a significant statistical association was detected between PM(10) (though not PM(2.5) or PM(10-2.5)) and mortality for all 3 causes analysed, with RRs statistically similar to those reported for PM(2.5).
CONCLUSIONS
The best air quality indicators for evaluating the short-term health effects of particulate matter in Madrid are therefore PM(10) concentrations on days with, and PM(2.5) concentrations on days without Saharan dust outbreaks. This fact should be taken into account in a European Directive regulating ambient air quality in almost all countries in the Mediterranean area.
DOI: 10.1016/j.scitotenv.2010.08.049
PubMed: 20855107
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Linares</name></author><author><name sortKey="Martinez, D" sort="Martinez, D" uniqKey="Martinez D" first="D" last="Martínez">D. Martínez</name></author><author><name sortKey="Diaz, J" sort="Diaz, J" uniqKey="Diaz J" first="J" last="Díaz">J. 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Jiménez</name><affiliation wicri:level="3"><nlm:affiliation>Department of Preventive Medicine, San Carlos University Teaching Hospital, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Preventive Medicine, San Carlos University Teaching Hospital, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Linares, C" sort="Linares, C" uniqKey="Linares C" first="C" last="Linares">C. Linares</name></author><author><name sortKey="Martinez, D" sort="Martinez, D" uniqKey="Martinez D" first="D" last="Martínez">D. Martínez</name></author><author><name sortKey="Diaz, J" sort="Diaz, J" uniqKey="Diaz J" first="J" last="Díaz">J. Díaz</name></author></analytic><series><title level="j">The Science of the total environment</title><idno type="eISSN">1879-1026</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Africa, Northern (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Air Pollutants (analysis)</term><term>Air Pollutants (toxicity)</term><term>Air Pollution (statistics & numerical data)</term><term>Desert Climate (adverse effects)</term><term>Dust (analysis)</term><term>Humans (MeSH)</term><term>Mortality (MeSH)</term><term>Particulate Matter (analysis)</term><term>Particulate Matter (toxicity)</term><term>Spain (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Afrique du Nord (MeSH)</term><term>Climat désertique (effets indésirables)</term><term>Espagne (MeSH)</term><term>Humains (MeSH)</term><term>Matière particulaire (analyse)</term><term>Matière particulaire (toxicité)</term><term>Mortalité (MeSH)</term><term>Polluants atmosphériques (analyse)</term><term>Polluants atmosphériques (toxicité)</term><term>Pollution de l'air (statistiques et données numériques)</term><term>Poussière (analyse)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Air Pollutants</term><term>Dust</term><term>Particulate Matter</term></keywords><keywords scheme="MESH" type="chemical" qualifier="toxicity" xml:lang="en"><term>Air Pollutants</term><term>Particulate Matter</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Africa, Northern</term><term>Spain</term></keywords><keywords scheme="MESH" qualifier="adverse effects" xml:lang="en"><term>Desert Climate</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Matière particulaire</term><term>Polluants atmosphériques</term><term>Poussière</term></keywords><keywords scheme="MESH" qualifier="effets indésirables" xml:lang="fr"><term>Climat désertique</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Air Pollution</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Pollution de l'air</term></keywords><keywords scheme="MESH" qualifier="toxicité" xml:lang="fr"><term>Matière particulaire</term><term>Polluants atmosphériques</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Humans</term><term>Mortality</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Afrique du Nord</term><term>Espagne</term><term>Humains</term><term>Mortalité</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Saharan dust outbreaks are a common phenomenon in the Madrid atmosphere. The current Directive 2008/50 CE governing air quality in European cities, draws no distinction between which particulate matter (PM(10), PM(2.5) or PM(10-2.5)) would be the best indicator on days with/without Saharan dust intrusions. This study sought to identify the role played by Saharan dust in the relationship between particulate matter (PM(10), PM(2.5) and PM(10-2.5)) concentrations and daily mortality among the elderly in the city of Madrid.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We conducted an ecological longitudinal time-series study on daily mortality among the over-75 age group, from 2003 to 2005. Poisson regression models were constructed for days with and without Saharan dust intrusions. The following causes of daily mortality were analysed: total organic causes except accidents (International Classification of Diseases-10th revision (ICD-10): A00-R99); circulatory causes (ICD-10: I00-I99); and respiratory causes (ICD-10: J00-J99). Daily mean PM(10), PM(2.5) and PM(10-2.5) levels were used as independent variables. Control variables were: other ambient pollutants (chemical, biotic and acoustic); trend; seasonalities; influenza epidemics; and autocorrelations between mortality series.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>While daily mean PM(2.5) concentrations in Madrid displayed a significant statistical association with daily mortality for all the above causes on days without Saharan dust intrusions, this association was not in evidence for PM(10) or PM(10-2.5) in the multivariate models. The relative risks (RRs) obtained for an increase of 10 μg/m(3) in PM(2.5) concentrations were: 1.023 (1.010-1.036) for total organic causes; 1.033 (1.031-1.035) for circulatory causes; and 1.032 (1.004-1.059) for respiratory causes. On Saharan dust days, a significant statistical association was detected between PM(10) (though not PM(2.5) or PM(10-2.5)) and mortality for all 3 causes analysed, with RRs statistically similar to those reported for PM(2.5).</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The best air quality indicators for evaluating the short-term health effects of particulate matter in Madrid are therefore PM(10) concentrations on days with, and PM(2.5) concentrations on days without Saharan dust outbreaks. This fact should be taken into account in a European Directive regulating ambient air quality in almost all countries in the Mediterranean area.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20855107</PMID><DateCompleted><Year>2010</Year><Month>12</Month><Day>13</Day></DateCompleted><DateRevised><Year>2010</Year><Month>10</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1026</ISSN><JournalIssue CitedMedium="Internet"><Volume>408</Volume><Issue>23</Issue><PubDate><Year>2010</Year><Month>Nov</Month><Day>01</Day></PubDate></JournalIssue><Title>The Science of the total environment</Title><ISOAbbreviation>Sci. Total Environ.</ISOAbbreviation></Journal><ArticleTitle>Role of Saharan dust in the relationship between particulate matter and short-term daily mortality among the elderly in Madrid (Spain).</ArticleTitle><Pagination><MedlinePgn>5729-36</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.scitotenv.2010.08.049</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Saharan dust outbreaks are a common phenomenon in the Madrid atmosphere. The current Directive 2008/50 CE governing air quality in European cities, draws no distinction between which particulate matter (PM(10), PM(2.5) or PM(10-2.5)) would be the best indicator on days with/without Saharan dust intrusions. This study sought to identify the role played by Saharan dust in the relationship between particulate matter (PM(10), PM(2.5) and PM(10-2.5)) concentrations and daily mortality among the elderly in the city of Madrid.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We conducted an ecological longitudinal time-series study on daily mortality among the over-75 age group, from 2003 to 2005. Poisson regression models were constructed for days with and without Saharan dust intrusions. The following causes of daily mortality were analysed: total organic causes except accidents (International Classification of Diseases-10th revision (ICD-10): A00-R99); circulatory causes (ICD-10: I00-I99); and respiratory causes (ICD-10: J00-J99). Daily mean PM(10), PM(2.5) and PM(10-2.5) levels were used as independent variables. Control variables were: other ambient pollutants (chemical, biotic and acoustic); trend; seasonalities; influenza epidemics; and autocorrelations between mortality series.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">While daily mean PM(2.5) concentrations in Madrid displayed a significant statistical association with daily mortality for all the above causes on days without Saharan dust intrusions, this association was not in evidence for PM(10) or PM(10-2.5) in the multivariate models. The relative risks (RRs) obtained for an increase of 10 μg/m(3) in PM(2.5) concentrations were: 1.023 (1.010-1.036) for total organic causes; 1.033 (1.031-1.035) for circulatory causes; and 1.032 (1.004-1.059) for respiratory causes. On Saharan dust days, a significant statistical association was detected between PM(10) (though not PM(2.5) or PM(10-2.5)) and mortality for all 3 causes analysed, with RRs statistically similar to those reported for PM(2.5).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The best air quality indicators for evaluating the short-term health effects of particulate matter in Madrid are therefore PM(10) concentrations on days with, and PM(2.5) concentrations on days without Saharan dust outbreaks. This fact should be taken into account in a European Directive regulating ambient air quality in almost all countries in the Mediterranean area.</AbstractText><CopyrightInformation>Copyright © 2010 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Jiménez</LastName><ForeName>E</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Department of Preventive Medicine, San Carlos University Teaching Hospital, Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Linares</LastName><ForeName>C</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Martínez</LastName><ForeName>D</ForeName><Initials>D</Initials></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>09</Month><Day>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Sci Total Environ</MedlineTA><NlmUniqueID>0330500</NlmUniqueID><ISSNLinking>0048-9697</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000393">Air Pollutants</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D004391">Dust</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D052638">Particulate Matter</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000352" MajorTopicYN="N" Type="Geographic">Africa, Northern</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000393" MajorTopicYN="N">Air Pollutants</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName><QualifierName UI="Q000633" MajorTopicYN="N">toxicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000397" MajorTopicYN="N">Air Pollution</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003889" MajorTopicYN="N">Desert Climate</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004391" MajorTopicYN="N">Dust</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009026" MajorTopicYN="Y">Mortality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D052638" MajorTopicYN="N">Particulate Matter</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName><QualifierName UI="Q000633" MajorTopicYN="N">toxicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2010</Year><Month>06</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2010</Year><Month>08</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2010</Year><Month>08</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>9</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>9</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>12</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">20855107</ArticleId><ArticleId IdType="pii">S0048-9697(10)00910-1</ArticleId><ArticleId IdType="doi">10.1016/j.scitotenv.2010.08.049</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><name sortKey="Linares, C" sort="Linares, C" uniqKey="Linares C" first="C" last="Linares">C. Linares</name><name sortKey="Martinez, D" sort="Martinez, D" uniqKey="Martinez D" first="D" last="Martínez">D. Martínez</name></noCountry><country name="Espagne"><region name="Communauté de Madrid"><name sortKey="Jimenez, E" sort="Jimenez, E" uniqKey="Jimenez E" first="E" last="Jiménez">E. Jiménez</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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