Daily mortality in Madrid community 1986-1992: relationship with meteorological variables.
Identifieur interne : 000691 ( Main/Exploration ); précédent : 000690; suivant : 000692Daily mortality in Madrid community 1986-1992: relationship with meteorological variables.
Auteurs : J C Alberdi [Espagne] ; J. Díaz ; J C Montero ; I. Mir NSource :
- European journal of epidemiology [ 0393-2990 ] ; 1998.
Descripteurs français
- KwdFr :
- Analyse de régression (MeSH), Analyse multifactorielle (MeSH), Cause de décès (MeSH), Collecte de données (MeSH), Espagne (épidémiologie), Facteurs de risque (MeSH), Femelle (MeSH), Humains (MeSH), Mortalité (tendances), Mâle (MeSH), Population urbaine (MeSH), Répartition par sexe (MeSH), Répartition par âge (MeSH), Saisons (MeSH), Sujet âgé (MeSH), Temps (météorologie) (MeSH).
- MESH :
- tendances : Mortalité.
- épidémiologie : Espagne.
- Analyse de régression, Analyse multifactorielle, Cause de décès, Collecte de données, Facteurs de risque, Femelle, Humains, Mâle, Population urbaine, Répartition par sexe, Répartition par âge, Saisons, Sujet âgé, Temps (météorologie).
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Age Distribution (MeSH), Aged (MeSH), Cause of Death (MeSH), Data Collection (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Mortality (trends), Multivariate Analysis (MeSH), Regression Analysis (MeSH), Risk Factors (MeSH), Seasons (MeSH), Sex Distribution (MeSH), Spain (epidemiology), Urban Population (MeSH), Weather (MeSH).
- MESH :
- geographic , epidemiology : Spain.
- trends : Mortality.
- Age Distribution, Aged, Cause of Death, Data Collection, Female, Humans, Male, Multivariate Analysis, Regression Analysis, Risk Factors, Seasons, Sex Distribution, Urban Population, Weather.
Abstract
Daily mortality displays a seasonal pattern linked to weather, air pollution, photoperiod length, influenza incidence and diet, among which temperature ranks as a leading cause. This study thus sought to assess the relationship between temperature, relative humidity, wind speed and mortality in the Madrid Autonomous Region (Spain) for the period January 1986-December 1992, controlling for the effects of air pollution and influenza incidence. Daily data on maximum, minimum and 24-hour mean temperature, relative humidity and wind speed were matched against daily mortality. Transfer function was identified using the Box-Jenkins pre-whitening method. Multivariate time series regression models were used to control for the confounding effects of air pollution and influenza incidence. Separate seasonal analyses were carried out for winter and summer periods. A J-shaped relationship between outdoor temperature, relative humidity and daily mortality was found. Mortality proved to be inversely related to cold temperature (4- to 11-day lag) and directly related to warm temperature (1-day lag). High relative humidity during summer periods was negatively related to mortality. Thermal variation ascribable to Madrid's mesothermal Mediterranean climate was strongly related to daily mortality, even where air pollution and influenza incidence were controlled for.
DOI: 10.1023/a:1007498305075
PubMed: 9794124
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Mir N</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1998">1998</date><idno type="RBID">pubmed:9794124</idno><idno type="pmid">9794124</idno><idno type="doi">10.1023/a:1007498305075</idno><idno type="wicri:Area/Main/Corpus">00689</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">00689</idno><idno type="wicri:Area/Main/Curation">000689</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000689</idno><idno type="wicri:Area/Main/Exploration">000689</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Daily mortality in Madrid community 1986-1992: relationship with meteorological variables.</title><author><name sortKey="Alberdi, J C" sort="Alberdi, J C" uniqKey="Alberdi J" first="J C" last="Alberdi">J C Alberdi</name><affiliation wicri:level="1"><nlm:affiliation>Centro Universitario de Salud Pública de Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Centro Universitario de Salud Pública de Madrid</wicri:regionArea></affiliation></author><author><name sortKey="Diaz, J" sort="Diaz, J" uniqKey="Diaz J" first="J" last="Díaz">J. 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Mir N</name></author></analytic><series><title level="j">European journal of epidemiology</title><idno type="ISSN">0393-2990</idno><imprint><date when="1998" type="published">1998</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Age Distribution (MeSH)</term><term>Aged (MeSH)</term><term>Cause of Death (MeSH)</term><term>Data Collection (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Mortality (trends)</term><term>Multivariate Analysis (MeSH)</term><term>Regression Analysis (MeSH)</term><term>Risk Factors (MeSH)</term><term>Seasons (MeSH)</term><term>Sex Distribution (MeSH)</term><term>Spain (epidemiology)</term><term>Urban Population (MeSH)</term><term>Weather (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de régression (MeSH)</term><term>Analyse multifactorielle (MeSH)</term><term>Cause de décès (MeSH)</term><term>Collecte de données (MeSH)</term><term>Espagne (épidémiologie)</term><term>Facteurs de risque (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Mortalité (tendances)</term><term>Mâle (MeSH)</term><term>Population urbaine (MeSH)</term><term>Répartition par sexe (MeSH)</term><term>Répartition par âge (MeSH)</term><term>Saisons (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Temps (météorologie) (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Spain</term></keywords><keywords scheme="MESH" qualifier="tendances" xml:lang="fr"><term>Mortalité</term></keywords><keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Mortality</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Espagne</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Age Distribution</term><term>Aged</term><term>Cause of Death</term><term>Data Collection</term><term>Female</term><term>Humans</term><term>Male</term><term>Multivariate Analysis</term><term>Regression Analysis</term><term>Risk Factors</term><term>Seasons</term><term>Sex Distribution</term><term>Urban Population</term><term>Weather</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de régression</term><term>Analyse multifactorielle</term><term>Cause de décès</term><term>Collecte de données</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Population urbaine</term><term>Répartition par sexe</term><term>Répartition par âge</term><term>Saisons</term><term>Sujet âgé</term><term>Temps (météorologie)</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Daily mortality displays a seasonal pattern linked to weather, air pollution, photoperiod length, influenza incidence and diet, among which temperature ranks as a leading cause. This study thus sought to assess the relationship between temperature, relative humidity, wind speed and mortality in the Madrid Autonomous Region (Spain) for the period January 1986-December 1992, controlling for the effects of air pollution and influenza incidence. Daily data on maximum, minimum and 24-hour mean temperature, relative humidity and wind speed were matched against daily mortality. Transfer function was identified using the Box-Jenkins pre-whitening method. Multivariate time series regression models were used to control for the confounding effects of air pollution and influenza incidence. Separate seasonal analyses were carried out for winter and summer periods. A J-shaped relationship between outdoor temperature, relative humidity and daily mortality was found. Mortality proved to be inversely related to cold temperature (4- to 11-day lag) and directly related to warm temperature (1-day lag). High relative humidity during summer periods was negatively related to mortality. Thermal variation ascribable to Madrid's mesothermal Mediterranean climate was strongly related to daily mortality, even where air pollution and influenza incidence were controlled for.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">9794124</PMID><DateCompleted><Year>1999</Year><Month>01</Month><Day>12</Day></DateCompleted><DateRevised><Year>2019</Year><Month>09</Month><Day>05</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0393-2990</ISSN><JournalIssue CitedMedium="Print"><Volume>14</Volume><Issue>6</Issue><PubDate><Year>1998</Year><Month>Sep</Month></PubDate></JournalIssue><Title>European journal of epidemiology</Title><ISOAbbreviation>Eur. J. Epidemiol.</ISOAbbreviation></Journal><ArticleTitle>Daily mortality in Madrid community 1986-1992: relationship with meteorological variables.</ArticleTitle><Pagination><MedlinePgn>571-8</MedlinePgn></Pagination><Abstract><AbstractText>Daily mortality displays a seasonal pattern linked to weather, air pollution, photoperiod length, influenza incidence and diet, among which temperature ranks as a leading cause. This study thus sought to assess the relationship between temperature, relative humidity, wind speed and mortality in the Madrid Autonomous Region (Spain) for the period January 1986-December 1992, controlling for the effects of air pollution and influenza incidence. Daily data on maximum, minimum and 24-hour mean temperature, relative humidity and wind speed were matched against daily mortality. Transfer function was identified using the Box-Jenkins pre-whitening method. Multivariate time series regression models were used to control for the confounding effects of air pollution and influenza incidence. Separate seasonal analyses were carried out for winter and summer periods. A J-shaped relationship between outdoor temperature, relative humidity and daily mortality was found. Mortality proved to be inversely related to cold temperature (4- to 11-day lag) and directly related to warm temperature (1-day lag). High relative humidity during summer periods was negatively related to mortality. Thermal variation ascribable to Madrid's mesothermal Mediterranean climate was strongly related to daily mortality, even where air pollution and influenza incidence were controlled for.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Alberdi</LastName><ForeName>J C</ForeName><Initials>JC</Initials><AffiliationInfo><Affiliation>Centro Universitario de Salud Pública de Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Díaz</LastName><ForeName>J</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Montero</LastName><ForeName>J C</ForeName><Initials>JC</Initials></Author><Author ValidYN="Y"><LastName>Mirón</LastName><ForeName>I</ForeName><Initials>I</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. 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MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009026" MajorTopicYN="N">Mortality</DescriptorName><QualifierName UI="Q000639" MajorTopicYN="Y">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017678" MajorTopicYN="N">Sex Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014505" MajorTopicYN="N">Urban 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Díaz</name><name sortKey="Mir N, I" sort="Mir N, I" uniqKey="Mir N I" first="I" last="Mir N">I. Mir N</name><name sortKey="Montero, J C" sort="Montero, J C" uniqKey="Montero J" first="J C" last="Montero">J C Montero</name></noCountry><country name="Espagne"><noRegion><name sortKey="Alberdi, J C" sort="Alberdi, J C" uniqKey="Alberdi J" first="J C" last="Alberdi">J C Alberdi</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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