Causality and temporality in the study of short-term effects of air pollution on health.
Identifieur interne : 000671 ( Main/Exploration ); précédent : 000670; suivant : 000672Causality and temporality in the study of short-term effects of air pollution on health.
Auteurs : M J Campbell [Royaume-Uni] ; A. TobíasSource :
- International journal of epidemiology [ 0300-5771 ] ; 2000.
Descripteurs français
- KwdFr :
- MESH :
- effets indésirables : Pollution de l'air.
- épidémiologie : Espagne.
- Causalité, Facteurs temps, Humains, Modèles statistiques, Mortalité, Saisons, Santé, Température, Études rétrospectives, Études transversales.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Spain.
- adverse effects : Air Pollution.
- Causality, Cross-Sectional Studies, Health, Humans, Models, Statistical, Mortality, Retrospective Studies, Seasons, Temperature, Time Factors.
Abstract
BACKGROUND
The relationship between air pollution and health is usually analysed by time series analysis. However, temporality (i.e. looking to see whether the cause precedes the effect) is rarely examined in detail.
METHODS
Models were fitted to daily levels of black smoke, nitrogen dioxide, sulphur dioxide, ozone and mortality from Barcelona 1986-1995 to account for seasonality, environmental temperature, days of the week and influenza epidemics. Cross-correlations of the residuals were plotted for different lags.
RESULTS
Clear evidence of a temporal relationship between mortality and air pollution found for all four pollutants in that changes in the pollutant preceded changes in mortality, implying causality. However the pattern of dependence was different for each pollutant.
CONCLUSION
The cross-correlation plot is a useful tool in the analysis of air pollution time series.
DOI: 10.1093/ije/29.2.271
PubMed: 10817124
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Tobías</name></author></analytic><series><title level="j">International journal of epidemiology</title><idno type="ISSN">0300-5771</idno><imprint><date when="2000" type="published">2000</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air Pollution (adverse effects)</term><term>Causality (MeSH)</term><term>Cross-Sectional Studies (MeSH)</term><term>Health (MeSH)</term><term>Humans (MeSH)</term><term>Models, Statistical (MeSH)</term><term>Mortality (MeSH)</term><term>Retrospective Studies (MeSH)</term><term>Seasons (MeSH)</term><term>Spain (epidemiology)</term><term>Temperature (MeSH)</term><term>Time Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Causalité (MeSH)</term><term>Espagne (épidémiologie)</term><term>Facteurs temps (MeSH)</term><term>Humains (MeSH)</term><term>Modèles statistiques (MeSH)</term><term>Mortalité (MeSH)</term><term>Pollution de l'air (effets indésirables)</term><term>Saisons (MeSH)</term><term>Santé (MeSH)</term><term>Température (MeSH)</term><term>Études rétrospectives (MeSH)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Spain</term></keywords><keywords scheme="MESH" qualifier="adverse effects" xml:lang="en"><term>Air Pollution</term></keywords><keywords scheme="MESH" qualifier="effets indésirables" xml:lang="fr"><term>Pollution de l'air</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Espagne</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Causality</term><term>Cross-Sectional Studies</term><term>Health</term><term>Humans</term><term>Models, Statistical</term><term>Mortality</term><term>Retrospective Studies</term><term>Seasons</term><term>Temperature</term><term>Time Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Causalité</term><term>Facteurs temps</term><term>Humains</term><term>Modèles statistiques</term><term>Mortalité</term><term>Saisons</term><term>Santé</term><term>Température</term><term>Études rétrospectives</term><term>Études transversales</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>The relationship between air pollution and health is usually analysed by time series analysis. However, temporality (i.e. looking to see whether the cause precedes the effect) is rarely examined in detail.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Models were fitted to daily levels of black smoke, nitrogen dioxide, sulphur dioxide, ozone and mortality from Barcelona 1986-1995 to account for seasonality, environmental temperature, days of the week and influenza epidemics. Cross-correlations of the residuals were plotted for different lags.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Clear evidence of a temporal relationship between mortality and air pollution found for all four pollutants in that changes in the pollutant preceded changes in mortality, implying causality. However the pattern of dependence was different for each pollutant.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>The cross-correlation plot is a useful tool in the analysis of air pollution time series.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">10817124</PMID><DateCompleted><Year>2000</Year><Month>07</Month><Day>19</Day></DateCompleted><DateRevised><Year>2019</Year><Month>05</Month><Day>13</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0300-5771</ISSN><JournalIssue CitedMedium="Print"><Volume>29</Volume><Issue>2</Issue><PubDate><Year>2000</Year><Month>Apr</Month></PubDate></JournalIssue><Title>International journal of epidemiology</Title><ISOAbbreviation>Int J Epidemiol</ISOAbbreviation></Journal><ArticleTitle>Causality and temporality in the study of short-term effects of air pollution on health.</ArticleTitle><Pagination><MedlinePgn>271-3</MedlinePgn></Pagination><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The relationship between air pollution and health is usually analysed by time series analysis. However, temporality (i.e. looking to see whether the cause precedes the effect) is rarely examined in detail.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Models were fitted to daily levels of black smoke, nitrogen dioxide, sulphur dioxide, ozone and mortality from Barcelona 1986-1995 to account for seasonality, environmental temperature, days of the week and influenza epidemics. Cross-correlations of the residuals were plotted for different lags.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Clear evidence of a temporal relationship between mortality and air pollution found for all four pollutants in that changes in the pollutant preceded changes in mortality, implying causality. However the pattern of dependence was different for each pollutant.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The cross-correlation plot is a useful tool in the analysis of air pollution time series.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Campbell</LastName><ForeName>M J</ForeName><Initials>MJ</Initials><AffiliationInfo><Affiliation>University of Sheffield, UK. m.j.campbell@sheffield.ac.uk</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tobías</LastName><ForeName>A</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Int J Epidemiol</MedlineTA><NlmUniqueID>7802871</NlmUniqueID><ISSNLinking>0300-5771</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000397" MajorTopicYN="N">Air Pollution</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015984" MajorTopicYN="Y">Causality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006262" MajorTopicYN="Y">Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009026" MajorTopicYN="Y">Mortality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2000</Year><Month>5</Month><Day>19</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2000</Year><Month>7</Month><Day>25</Day><Hour>11</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2000</Year><Month>5</Month><Day>19</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">10817124</ArticleId><ArticleId IdType="doi">10.1093/ije/29.2.271</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Royaume-Uni</li></country></list><tree><noCountry><name sortKey="Tobias, A" sort="Tobias, A" uniqKey="Tobias A" first="A" last="Tobías">A. Tobías</name></noCountry><country name="Royaume-Uni"><noRegion><name sortKey="Campbell, M J" sort="Campbell, M J" uniqKey="Campbell M" first="M J" last="Campbell">M J Campbell</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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