LeHavreV1, PascalFrancis, Curation, bibRecord, 000123

Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality

Identifieur interne : 000123 ( PascalFrancis/Curation ); précédent : 000122; suivant : 000124

Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality

Auteurs : Laurent Filleul [France] ; Abdelkrim Zeghnoun [France] ; Sylvie Cassadou [France] ; Christophe Declercq [France] ; Daniel Eilstein [France] ; Alain Le Tertre [France] ; Sylvia Medina [France] ; Laurence Pascal [France] ; Hélène Prouvost [France] ; Philippe Saviuc [France] ; Philippe Quenel [France]

Source :

Science of the total environment [ 0048-9697 ] ; 2006.

RBID : Pascal:06-0127638

Descripteurs français

Pascal (Inist)
- Pollution air, Toxicité, Homme, Santé publique, Milieu urbain, Fumée noire, Soufre dioxyde, Mesure concentration, Teneur air ambiant, Zone industrielle, Proximité, Zone résidentielle, Mortalité, Evaluation, Exposition, Méthodologie, France.
Wicri :
- geographic : France.
- topic : Homme, Santé publique, Mortalité.

English descriptors

KwdEn :
- Air pollution, Ambient air concentration, Carbonaceous smoke, Concentration measurement, Evaluation, Exposure, France, Human, Industrial area, Methodology, Mortality, Proximity, Public health, Residential zone, Sulfur dioxide, Toxicity, Urban environment.

Abstract

In the past few years many studies on air pollution and health based on time series have been carried out. Yet, this approach does not assess exposure to air pollution at an individual level but it is based on ambient concentrations measured by air quality monitoring networks. Questions on the estimates of exposure to pollutants have been raised, in particular the fact that background measuring stations only have been considered in the set up of pollution indicators. To assess the impact of exposure indicator characteristics on the results of time series analysis, two series (black smoke and sulfur dioxide, respectively) of exposure indicators to urban air pollution were set up taking into account a growing part of proximity measures (industrial sources) available in the studied urban area (Le Havre, France). For each pollutant, indicators distributions were almost similar, especially for black smoke. Whatever the pollutant, the most obvious heterogeneity could be observed between the 100% background indicator and the indicator including the arithmetic mean for all the stations (50% background stations and 50% proximity stations). Then the sensitivity of the associations between mortality and air pollution to these indicators was studied. These indicators did not show statistically significant differences in the estimated excess risk. Yet, confidence intervals were more statistically significant as the contribution of proximity stations was more substantial, in particular for SO₂. To conclude, the use of proximity measurements did not influence dramatically on the mean estimates of the association between air pollution and mortality indicators in Le Havre. Therefore it does not seem relevant to include the data provided by the proximity stations in the urban exposure indicators within the context of the epidemiology monitoring system.

A01	`01`	`1`		`@0 0048-9697`
A02	`01`			`@0 STENDL`
A03		`1`		`@0 Sci. total environ.`
A05				`@2 355`
A06				`@2 1-3`
A08	`01`	`1`	`ENG`	`@1 Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality`
A11	`01`	`1`		`@1 FILLEUL (Laurent)`
A11	`02`	`1`		`@1 ZEGHNOUN (Abdelkrim)`
A11	`03`	`1`		`@1 CASSADOU (Sylvie)`
A11	`04`	`1`		`@1 DECLERCQ (Christophe)`
A11	`05`	`1`		`@1 EILSTEIN (Daniel)`
A11	`06`	`1`		`@1 LE TERTRE (Alain)`
A11	`07`	`1`		`@1 MEDINA (Sylvia)`
A11	`08`	`1`		`@1 PASCAL (Laurence)`
A11	`09`	`1`		`@1 PROUVOST (Hélène)`
A11	`10`	`1`		`@1 SAVIUC (Philippe)`
A11	`11`	`1`		`@1 QUENEL (Philippe)`
A14	`01`			`@1 Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952 @2 33063 Bordeaux @3 FRA @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 5 aut. @Z 6 aut. @Z 7 aut. @Z 8 aut. @Z 10 aut. @Z 11 aut.`
A14	`02`			`@1 Observatoire Régional de la Santé Nord Pas-de-Calais @3 FRA @Z 4 aut. @Z 9 aut.`
A20				`@1 90-97`
A21				`@1 2006`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 15662 @5 354000115130750080`
A44				`@0 0000 @1 © 2006 INIST-CNRS. All rights reserved.`
A45				`@0 1 p.1/4`
A47	`01`	`1`		`@0 06-0127638`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Science of the total environment`
A66	`01`			`@0 IRL`
C01	`01`		`ENG`	@0 In the past few years many studies on air pollution and health based on time series have been carried out. Yet, this approach does not assess exposure to air pollution at an individual level but it is based on ambient concentrations measured by air quality monitoring networks. Questions on the estimates of exposure to pollutants have been raised, in particular the fact that background measuring stations only have been considered in the set up of pollution indicators. To assess the impact of exposure indicator characteristics on the results of time series analysis, two series (black smoke and sulfur dioxide, respectively) of exposure indicators to urban air pollution were set up taking into account a growing part of proximity measures (industrial sources) available in the studied urban area (Le Havre, France). For each pollutant, indicators distributions were almost similar, especially for black smoke. Whatever the pollutant, the most obvious heterogeneity could be observed between the 100% background indicator and the indicator including the arithmetic mean for all the stations (50% background stations and 50% proximity stations). Then the sensitivity of the associations between mortality and air pollution to these indicators was studied. These indicators did not show statistically significant differences in the estimated excess risk. Yet, confidence intervals were more statistically significant as the contribution of proximity stations was more substantial, in particular for SO₂. To conclude, the use of proximity measurements did not influence dramatically on the mean estimates of the association between air pollution and mortality indicators in Le Havre. Therefore it does not seem relevant to include the data provided by the proximity stations in the urban exposure indicators within the context of the epidemiology monitoring system.
C02	`01`	`X`		`@0 002B03M02`
C03	`01`	`X`	`FRE`	`@0 Pollution air @5 02`
C03	`01`	`X`	`ENG`	`@0 Air pollution @5 02`
C03	`01`	`X`	`SPA`	`@0 Contaminación aire @5 02`
C03	`02`	`X`	`FRE`	`@0 Toxicité @5 03`
C03	`02`	`X`	`ENG`	`@0 Toxicity @5 03`
C03	`02`	`X`	`SPA`	`@0 Toxicidad @5 03`
C03	`03`	`X`	`FRE`	`@0 Homme @5 05`
C03	`03`	`X`	`ENG`	`@0 Human @5 05`
C03	`03`	`X`	`SPA`	`@0 Hombre @5 05`
C03	`04`	`X`	`FRE`	`@0 Santé publique @5 06`
C03	`04`	`X`	`ENG`	`@0 Public health @5 06`
C03	`04`	`X`	`SPA`	`@0 Salud pública @5 06`
C03	`05`	`X`	`FRE`	`@0 Milieu urbain @5 08`
C03	`05`	`X`	`ENG`	`@0 Urban environment @5 08`
C03	`05`	`X`	`SPA`	`@0 Medio urbano @5 08`
C03	`06`	`X`	`FRE`	`@0 Fumée noire @5 09`
C03	`06`	`X`	`ENG`	`@0 Carbonaceous smoke @5 09`
C03	`06`	`X`	`SPA`	`@0 Humo negro @5 09`
C03	`07`	`X`	`FRE`	`@0 Soufre dioxyde @2 NK @2 FX @5 11`
C03	`07`	`X`	`ENG`	`@0 Sulfur dioxide @2 NK @2 FX @5 11`
C03	`07`	`X`	`SPA`	`@0 Dióxido sulfúrico @2 NK @2 FX @5 11`
C03	`08`	`X`	`FRE`	`@0 Mesure concentration @5 12`
C03	`08`	`X`	`ENG`	`@0 Concentration measurement @5 12`
C03	`08`	`X`	`SPA`	`@0 Medición concentración @5 12`
C03	`09`	`X`	`FRE`	`@0 Teneur air ambiant @5 16`
C03	`09`	`X`	`ENG`	`@0 Ambient air concentration @5 16`
C03	`09`	`X`	`SPA`	`@0 Contenido aire ambiental @5 16`
C03	`10`	`X`	`FRE`	`@0 Zone industrielle @5 17`
C03	`10`	`X`	`ENG`	`@0 Industrial area @5 17`
C03	`10`	`X`	`SPA`	`@0 Zona industrial @5 17`
C03	`11`	`X`	`FRE`	`@0 Proximité @5 18`
C03	`11`	`X`	`ENG`	`@0 Proximity @5 18`
C03	`11`	`X`	`SPA`	`@0 Proximidad @5 18`
C03	`12`	`X`	`FRE`	`@0 Zone résidentielle @5 19`
C03	`12`	`X`	`ENG`	`@0 Residential zone @5 19`
C03	`12`	`X`	`SPA`	`@0 Zona residencial @5 19`
C03	`13`	`X`	`FRE`	`@0 Mortalité @5 20`
C03	`13`	`X`	`ENG`	`@0 Mortality @5 20`
C03	`13`	`X`	`SPA`	`@0 Mortalidad @5 20`
C03	`14`	`X`	`FRE`	`@0 Evaluation @5 21`
C03	`14`	`X`	`ENG`	`@0 Evaluation @5 21`
C03	`14`	`X`	`SPA`	`@0 Evaluación @5 21`
C03	`15`	`X`	`FRE`	`@0 Exposition @5 22`
C03	`15`	`X`	`ENG`	`@0 Exposure @5 22`
C03	`15`	`X`	`SPA`	`@0 Exposición @5 22`
C03	`16`	`X`	`FRE`	`@0 Méthodologie @5 23`
C03	`16`	`X`	`ENG`	`@0 Methodology @5 23`
C03	`16`	`X`	`SPA`	`@0 Metodología @5 23`
C03	`17`	`X`	`FRE`	`@0 France @2 NG @5 24`
C03	`17`	`X`	`ENG`	`@0 France @2 NG @5 24`
C03	`17`	`X`	`SPA`	`@0 Francia @2 NG @5 24`
C07	`01`	`X`	`FRE`	`@0 Europe @2 NG`
C07	`01`	`X`	`ENG`	`@0 Europe @2 NG`
C07	`01`	`X`	`SPA`	`@0 Europa @2 NG`
N21				`@1 079`

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000218

Links to Exploration step

Pascal:06-0127638

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality</title>
<author><name sortKey="Filleul, Laurent" sort="Filleul, Laurent" uniqKey="Filleul L" first="Laurent" last="Filleul">Laurent Filleul</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Zeghnoun, Abdelkrim" sort="Zeghnoun, Abdelkrim" uniqKey="Zeghnoun A" first="Abdelkrim" last="Zeghnoun">Abdelkrim Zeghnoun</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Cassadou, Sylvie" sort="Cassadou, Sylvie" uniqKey="Cassadou S" first="Sylvie" last="Cassadou">Sylvie Cassadou</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Declercq, Christophe" sort="Declercq, Christophe" uniqKey="Declercq C" first="Christophe" last="Declercq">Christophe Declercq</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Observatoire Régional de la Santé Nord Pas-de-Calais</s1>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
<sZ>9 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Eilstein, Daniel" sort="Eilstein, Daniel" uniqKey="Eilstein D" first="Daniel" last="Eilstein">Daniel Eilstein</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Le Tertre, Alain" sort="Le Tertre, Alain" uniqKey="Le Tertre A" first="Alain" last="Le Tertre">Alain Le Tertre</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Medina, Sylvia" sort="Medina, Sylvia" uniqKey="Medina S" first="Sylvia" last="Medina">Sylvia Medina</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Pascal, Laurence" sort="Pascal, Laurence" uniqKey="Pascal L" first="Laurence" last="Pascal">Laurence Pascal</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Prouvost, Helene" sort="Prouvost, Helene" uniqKey="Prouvost H" first="Hélène" last="Prouvost">Hélène Prouvost</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Observatoire Régional de la Santé Nord Pas-de-Calais</s1>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
<sZ>9 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Saviuc, Philippe" sort="Saviuc, Philippe" uniqKey="Saviuc P" first="Philippe" last="Saviuc">Philippe Saviuc</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Quenel, Philippe" sort="Quenel, Philippe" uniqKey="Quenel P" first="Philippe" last="Quenel">Philippe Quenel</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">06-0127638</idno>
<date when="2006">2006</date>
<idno type="stanalyst">PASCAL 06-0127638 INIST</idno>
<idno type="RBID">Pascal:06-0127638</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000218</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000123</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality</title>
<author><name sortKey="Filleul, Laurent" sort="Filleul, Laurent" uniqKey="Filleul L" first="Laurent" last="Filleul">Laurent Filleul</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Zeghnoun, Abdelkrim" sort="Zeghnoun, Abdelkrim" uniqKey="Zeghnoun A" first="Abdelkrim" last="Zeghnoun">Abdelkrim Zeghnoun</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Cassadou, Sylvie" sort="Cassadou, Sylvie" uniqKey="Cassadou S" first="Sylvie" last="Cassadou">Sylvie Cassadou</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Declercq, Christophe" sort="Declercq, Christophe" uniqKey="Declercq C" first="Christophe" last="Declercq">Christophe Declercq</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Observatoire Régional de la Santé Nord Pas-de-Calais</s1>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
<sZ>9 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Eilstein, Daniel" sort="Eilstein, Daniel" uniqKey="Eilstein D" first="Daniel" last="Eilstein">Daniel Eilstein</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Le Tertre, Alain" sort="Le Tertre, Alain" uniqKey="Le Tertre A" first="Alain" last="Le Tertre">Alain Le Tertre</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Medina, Sylvia" sort="Medina, Sylvia" uniqKey="Medina S" first="Sylvia" last="Medina">Sylvia Medina</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Pascal, Laurence" sort="Pascal, Laurence" uniqKey="Pascal L" first="Laurence" last="Pascal">Laurence Pascal</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Prouvost, Helene" sort="Prouvost, Helene" uniqKey="Prouvost H" first="Hélène" last="Prouvost">Hélène Prouvost</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Observatoire Régional de la Santé Nord Pas-de-Calais</s1>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
<sZ>9 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Saviuc, Philippe" sort="Saviuc, Philippe" uniqKey="Saviuc P" first="Philippe" last="Saviuc">Philippe Saviuc</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Quenel, Philippe" sort="Quenel, Philippe" uniqKey="Quenel P" first="Philippe" last="Quenel">Philippe Quenel</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
<country>France</country>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Science of the total environment</title>
<title level="j" type="abbreviated">Sci. total environ.</title>
<idno type="ISSN">0048-9697</idno>
<imprint><date when="2006">2006</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Science of the total environment</title>
<title level="j" type="abbreviated">Sci. total environ.</title>
<idno type="ISSN">0048-9697</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air pollution</term>
<term>Ambient air concentration</term>
<term>Carbonaceous smoke</term>
<term>Concentration measurement</term>
<term>Evaluation</term>
<term>Exposure</term>
<term>France</term>
<term>Human</term>
<term>Industrial area</term>
<term>Methodology</term>
<term>Mortality</term>
<term>Proximity</term>
<term>Public health</term>
<term>Residential zone</term>
<term>Sulfur dioxide</term>
<term>Toxicity</term>
<term>Urban environment</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Pollution air</term>
<term>Toxicité</term>
<term>Homme</term>
<term>Santé publique</term>
<term>Milieu urbain</term>
<term>Fumée noire</term>
<term>Soufre dioxyde</term>
<term>Mesure concentration</term>
<term>Teneur air ambiant</term>
<term>Zone industrielle</term>
<term>Proximité</term>
<term>Zone résidentielle</term>
<term>Mortalité</term>
<term>Evaluation</term>
<term>Exposition</term>
<term>Méthodologie</term>
<term>France</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>France</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Homme</term>
<term>Santé publique</term>
<term>Mortalité</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">In the past few years many studies on air pollution and health based on time series have been carried out. Yet, this approach does not assess exposure to air pollution at an individual level but it is based on ambient concentrations measured by air quality monitoring networks. Questions on the estimates of exposure to pollutants have been raised, in particular the fact that background measuring stations only have been considered in the set up of pollution indicators. To assess the impact of exposure indicator characteristics on the results of time series analysis, two series (black smoke and sulfur dioxide, respectively) of exposure indicators to urban air pollution were set up taking into account a growing part of proximity measures (industrial sources) available in the studied urban area (Le Havre, France). For each pollutant, indicators distributions were almost similar, especially for black smoke. Whatever the pollutant, the most obvious heterogeneity could be observed between the 100% background indicator and the indicator including the arithmetic mean for all the stations (50% background stations and 50% proximity stations). Then the sensitivity of the associations between mortality and air pollution to these indicators was studied. These indicators did not show statistically significant differences in the estimated excess risk. Yet, confidence intervals were more statistically significant as the contribution of proximity stations was more substantial, in particular for SO<sub>2</sub>
. To conclude, the use of proximity measurements did not influence dramatically on the mean estimates of the association between air pollution and mortality indicators in Le Havre. Therefore it does not seem relevant to include the data provided by the proximity stations in the urban exposure indicators within the context of the epidemiology monitoring system.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0048-9697</s0>
</fA01>
<fA02 i1="01"><s0>STENDL</s0>
</fA02>
<fA03 i2="1"><s0>Sci. total environ.</s0>
</fA03>
<fA05><s2>355</s2>
</fA05>
<fA06><s2>1-3</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>FILLEUL (Laurent)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>ZEGHNOUN (Abdelkrim)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>CASSADOU (Sylvie)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>DECLERCQ (Christophe)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>EILSTEIN (Daniel)</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>LE TERTRE (Alain)</s1>
</fA11>
<fA11 i1="07" i2="1"><s1>MEDINA (Sylvia)</s1>
</fA11>
<fA11 i1="08" i2="1"><s1>PASCAL (Laurence)</s1>
</fA11>
<fA11 i1="09" i2="1"><s1>PROUVOST (Hélène)</s1>
</fA11>
<fA11 i1="10" i2="1"><s1>SAVIUC (Philippe)</s1>
</fA11>
<fA11 i1="11" i2="1"><s1>QUENEL (Philippe)</s1>
</fA11>
<fA14 i1="01"><s1>Institut de Veille Sanitaire-Cire Aquitaine, Espasse Rodesse, 103, bis rue Belleville, BP 952</s1>
<s2>33063 Bordeaux</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Observatoire Régional de la Santé Nord Pas-de-Calais</s1>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
<sZ>9 aut.</sZ>
</fA14>
<fA20><s1>90-97</s1>
</fA20>
<fA21><s1>2006</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>15662</s2>
<s5>354000115130750080</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2006 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>1 p.1/4</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>06-0127638</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Science of the total environment</s0>
</fA64>
<fA66 i1="01"><s0>IRL</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>In the past few years many studies on air pollution and health based on time series have been carried out. Yet, this approach does not assess exposure to air pollution at an individual level but it is based on ambient concentrations measured by air quality monitoring networks. Questions on the estimates of exposure to pollutants have been raised, in particular the fact that background measuring stations only have been considered in the set up of pollution indicators. To assess the impact of exposure indicator characteristics on the results of time series analysis, two series (black smoke and sulfur dioxide, respectively) of exposure indicators to urban air pollution were set up taking into account a growing part of proximity measures (industrial sources) available in the studied urban area (Le Havre, France). For each pollutant, indicators distributions were almost similar, especially for black smoke. Whatever the pollutant, the most obvious heterogeneity could be observed between the 100% background indicator and the indicator including the arithmetic mean for all the stations (50% background stations and 50% proximity stations). Then the sensitivity of the associations between mortality and air pollution to these indicators was studied. These indicators did not show statistically significant differences in the estimated excess risk. Yet, confidence intervals were more statistically significant as the contribution of proximity stations was more substantial, in particular for SO<sub>2</sub>
. To conclude, the use of proximity measurements did not influence dramatically on the mean estimates of the association between air pollution and mortality indicators in Le Havre. Therefore it does not seem relevant to include the data provided by the proximity stations in the urban exposure indicators within the context of the epidemiology monitoring system.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002B03M02</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Pollution air</s0>
<s5>02</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Air pollution</s0>
<s5>02</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Contaminación aire</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Toxicité</s0>
<s5>03</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Toxicity</s0>
<s5>03</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Toxicidad</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Homme</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Human</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Hombre</s0>
<s5>05</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Santé publique</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Public health</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Salud pública</s0>
<s5>06</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Milieu urbain</s0>
<s5>08</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Urban environment</s0>
<s5>08</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Medio urbano</s0>
<s5>08</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Fumée noire</s0>
<s5>09</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Carbonaceous smoke</s0>
<s5>09</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Humo negro</s0>
<s5>09</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Soufre dioxyde</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>11</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Sulfur dioxide</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>11</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Dióxido sulfúrico</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>11</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Mesure concentration</s0>
<s5>12</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Concentration measurement</s0>
<s5>12</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Medición concentración</s0>
<s5>12</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Teneur air ambiant</s0>
<s5>16</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Ambient air concentration</s0>
<s5>16</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Contenido aire ambiental</s0>
<s5>16</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Zone industrielle</s0>
<s5>17</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Industrial area</s0>
<s5>17</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Zona industrial</s0>
<s5>17</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Proximité</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Proximity</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Proximidad</s0>
<s5>18</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Zone résidentielle</s0>
<s5>19</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Residential zone</s0>
<s5>19</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Zona residencial</s0>
<s5>19</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Mortalité</s0>
<s5>20</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Mortality</s0>
<s5>20</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Mortalidad</s0>
<s5>20</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>Evaluation</s0>
<s5>21</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG"><s0>Evaluation</s0>
<s5>21</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA"><s0>Evaluación</s0>
<s5>21</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Exposition</s0>
<s5>22</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Exposure</s0>
<s5>22</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Exposición</s0>
<s5>22</s5>
</fC03>
<fC03 i1="16" i2="X" l="FRE"><s0>Méthodologie</s0>
<s5>23</s5>
</fC03>
<fC03 i1="16" i2="X" l="ENG"><s0>Methodology</s0>
<s5>23</s5>
</fC03>
<fC03 i1="16" i2="X" l="SPA"><s0>Metodología</s0>
<s5>23</s5>
</fC03>
<fC03 i1="17" i2="X" l="FRE"><s0>France</s0>
<s2>NG</s2>
<s5>24</s5>
</fC03>
<fC03 i1="17" i2="X" l="ENG"><s0>France</s0>
<s2>NG</s2>
<s5>24</s5>
</fC03>
<fC03 i1="17" i2="X" l="SPA"><s0>Francia</s0>
<s2>NG</s2>
<s5>24</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Europa</s0>
<s2>NG</s2>
</fC07>
<fN21><s1>079</s1>
</fN21>
</pA>
</standard>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/France/explor/LeHavreV1/Data/PascalFrancis/Curation

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000123 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 000123 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/France
   |area=    LeHavreV1
   |flux=    PascalFrancis
   |étape=   Curation
   |type=    RBID
   |clé=     Pascal:06-0127638
   |texte=   Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality
}}

This area was generated with Dilib version V0.6.25.
Data generation: Sat Dec 3 14:37:02 2016. Site generation: Tue Mar 5 08:25:07 2024

	Serveur d'exploration sur la visibilité du Havre
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur la visibilité du Havre

Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality

Influence of set-up conditions of exposure indicators on the estimate of short-term associations between urban pollution and mortality

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri