Air pollution and respiratory drug sales in the City of Le Havre, France, 1993-1996.
Identifieur interne : 000403 ( PubMed/Corpus ); précédent : 000402; suivant : 000404Air pollution and respiratory drug sales in the City of Le Havre, France, 1993-1996.
Auteurs : A. Zeghnoun ; P. Beaudeau ; F. Carrat ; V. Delmas ; O. Boudhabhay ; F. Gayon ; D. Guincètre ; P. CzernichowSource :
- Environmental research [ 0013-9351 ] ; 1999.
English descriptors
- KwdEn :
- Air Pollution, Ambulatory Care (statistics & numerical data), Antitussive Agents (economics), Antitussive Agents (therapeutic use), Drug Prescriptions (economics), Drug Prescriptions (statistics & numerical data), Economics, Pharmaceutical (trends), Expectorants (economics), Expectorants (therapeutic use), France, Humans, Public Health, Respiratory Tract Diseases (drug therapy).
- MESH :
- chemical , economics : Antitussive Agents, Expectorants.
- geographic : France.
- drug therapy : Respiratory Tract Diseases.
- economics : Drug Prescriptions.
- statistics & numerical data : Ambulatory Care, Drug Prescriptions.
- chemical , therapeutic use : Antitussive Agents, Expectorants.
- trends : Economics, Pharmaceutical.
- Air Pollution, Humans, Public Health.
Abstract
The aim of this study is to evaluate ambulatory respiratory drug sales data as health indicators for the short-term effects of ambient air pollution in the city of Le Havre. Daily respiratory drug sales data were crossed with daily ambient air concentrations of sulfur dioxide (SO2), nitrogen dioxide (NO2), and black smoke (BS) using an autoregressive Poisson regression model adjusting for time trends, seasonal variations, influenza epidemics, and weather. Relative risks (RR) were expressed for an increase of two standard deviations above the mean of each pollutant. Respiratory drug sales were associated with most pollutants studied with lags varying from 1 to 9 days. For daily mean concentrations of BS, RR = 1.037 (95% confidence interval (CI) 1.009-1.066) for lag 1 and RR = 1.052 (95% CI 1.023-1.081) for lag 8. For daily mean concentrations of N02, RR = 1.033 (95% CI 1.001-1.066) for lag 1 and RR = 1.046 (95% CI 1.014-1.079) for lag 8. RR observed with a daily 1 h maximum of SO2 were RR= 1.027 (95% CI 1.004-1.051) for lag 3 and RR= 1.032 (95% CI 1.009-1.056) for lag 9. Our study concludes that ambulatory respiratory drug sales data could be useful for epidemiological surveillance of air pollutant health effects.
DOI: 10.1006/enrs.1999.3974
PubMed: 10585018
Links to Exploration step
pubmed:10585018Le document en format XML
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<author><name sortKey="Zeghnoun, A" sort="Zeghnoun, A" uniqKey="Zeghnoun A" first="A" last="Zeghnoun">A. Zeghnoun</name>
<affiliation><nlm:affiliation>Unité de Biomathématiques et Biostatistiques, INSERM U 444, Paris, France. desp@chu-rouen.fr</nlm:affiliation>
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<author><name sortKey="Beaudeau, P" sort="Beaudeau, P" uniqKey="Beaudeau P" first="P" last="Beaudeau">P. Beaudeau</name>
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<author><name sortKey="Carrat, F" sort="Carrat, F" uniqKey="Carrat F" first="F" last="Carrat">F. Carrat</name>
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<author><name sortKey="Delmas, V" sort="Delmas, V" uniqKey="Delmas V" first="V" last="Delmas">V. Delmas</name>
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<author><name sortKey="Boudhabhay, O" sort="Boudhabhay, O" uniqKey="Boudhabhay O" first="O" last="Boudhabhay">O. Boudhabhay</name>
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<author><name sortKey="Gayon, F" sort="Gayon, F" uniqKey="Gayon F" first="F" last="Gayon">F. Gayon</name>
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<author><name sortKey="Guincetre, D" sort="Guincetre, D" uniqKey="Guincetre D" first="D" last="Guincètre">D. Guincètre</name>
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<author><name sortKey="Czernichow, P" sort="Czernichow, P" uniqKey="Czernichow P" first="P" last="Czernichow">P. Czernichow</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Air pollution and respiratory drug sales in the City of Le Havre, France, 1993-1996.</title>
<author><name sortKey="Zeghnoun, A" sort="Zeghnoun, A" uniqKey="Zeghnoun A" first="A" last="Zeghnoun">A. Zeghnoun</name>
<affiliation><nlm:affiliation>Unité de Biomathématiques et Biostatistiques, INSERM U 444, Paris, France. desp@chu-rouen.fr</nlm:affiliation>
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<author><name sortKey="Beaudeau, P" sort="Beaudeau, P" uniqKey="Beaudeau P" first="P" last="Beaudeau">P. Beaudeau</name>
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<author><name sortKey="Carrat, F" sort="Carrat, F" uniqKey="Carrat F" first="F" last="Carrat">F. Carrat</name>
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<author><name sortKey="Delmas, V" sort="Delmas, V" uniqKey="Delmas V" first="V" last="Delmas">V. Delmas</name>
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<author><name sortKey="Boudhabhay, O" sort="Boudhabhay, O" uniqKey="Boudhabhay O" first="O" last="Boudhabhay">O. Boudhabhay</name>
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<author><name sortKey="Gayon, F" sort="Gayon, F" uniqKey="Gayon F" first="F" last="Gayon">F. Gayon</name>
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<author><name sortKey="Guincetre, D" sort="Guincetre, D" uniqKey="Guincetre D" first="D" last="Guincètre">D. Guincètre</name>
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<series><title level="j">Environmental research</title>
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<term>Ambulatory Care (statistics & numerical data)</term>
<term>Antitussive Agents (economics)</term>
<term>Antitussive Agents (therapeutic use)</term>
<term>Drug Prescriptions (economics)</term>
<term>Drug Prescriptions (statistics & numerical data)</term>
<term>Economics, Pharmaceutical (trends)</term>
<term>Expectorants (economics)</term>
<term>Expectorants (therapeutic use)</term>
<term>France</term>
<term>Humans</term>
<term>Public Health</term>
<term>Respiratory Tract Diseases (drug therapy)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="economics" xml:lang="en"><term>Antitussive Agents</term>
<term>Expectorants</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>France</term>
</keywords>
<keywords scheme="MESH" qualifier="drug therapy" xml:lang="en"><term>Respiratory Tract Diseases</term>
</keywords>
<keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Drug Prescriptions</term>
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<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Ambulatory Care</term>
<term>Drug Prescriptions</term>
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<keywords scheme="MESH" type="chemical" qualifier="therapeutic use" xml:lang="en"><term>Antitussive Agents</term>
<term>Expectorants</term>
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<keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Economics, Pharmaceutical</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Air Pollution</term>
<term>Humans</term>
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<front><div type="abstract" xml:lang="en">The aim of this study is to evaluate ambulatory respiratory drug sales data as health indicators for the short-term effects of ambient air pollution in the city of Le Havre. Daily respiratory drug sales data were crossed with daily ambient air concentrations of sulfur dioxide (SO2), nitrogen dioxide (NO2), and black smoke (BS) using an autoregressive Poisson regression model adjusting for time trends, seasonal variations, influenza epidemics, and weather. Relative risks (RR) were expressed for an increase of two standard deviations above the mean of each pollutant. Respiratory drug sales were associated with most pollutants studied with lags varying from 1 to 9 days. For daily mean concentrations of BS, RR = 1.037 (95% confidence interval (CI) 1.009-1.066) for lag 1 and RR = 1.052 (95% CI 1.023-1.081) for lag 8. For daily mean concentrations of N02, RR = 1.033 (95% CI 1.001-1.066) for lag 1 and RR = 1.046 (95% CI 1.014-1.079) for lag 8. RR observed with a daily 1 h maximum of SO2 were RR= 1.027 (95% CI 1.004-1.051) for lag 3 and RR= 1.032 (95% CI 1.009-1.056) for lag 9. Our study concludes that ambulatory respiratory drug sales data could be useful for epidemiological surveillance of air pollutant health effects.</div>
</front>
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<Title>Environmental research</Title>
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<ArticleTitle>Air pollution and respiratory drug sales in the City of Le Havre, France, 1993-1996.</ArticleTitle>
<Pagination><MedlinePgn>224-30</MedlinePgn>
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<Abstract><AbstractText>The aim of this study is to evaluate ambulatory respiratory drug sales data as health indicators for the short-term effects of ambient air pollution in the city of Le Havre. Daily respiratory drug sales data were crossed with daily ambient air concentrations of sulfur dioxide (SO2), nitrogen dioxide (NO2), and black smoke (BS) using an autoregressive Poisson regression model adjusting for time trends, seasonal variations, influenza epidemics, and weather. Relative risks (RR) were expressed for an increase of two standard deviations above the mean of each pollutant. Respiratory drug sales were associated with most pollutants studied with lags varying from 1 to 9 days. For daily mean concentrations of BS, RR = 1.037 (95% confidence interval (CI) 1.009-1.066) for lag 1 and RR = 1.052 (95% CI 1.023-1.081) for lag 8. For daily mean concentrations of N02, RR = 1.033 (95% CI 1.001-1.066) for lag 1 and RR = 1.046 (95% CI 1.014-1.079) for lag 8. RR observed with a daily 1 h maximum of SO2 were RR= 1.027 (95% CI 1.004-1.051) for lag 3 and RR= 1.032 (95% CI 1.009-1.056) for lag 9. Our study concludes that ambulatory respiratory drug sales data could be useful for epidemiological surveillance of air pollutant health effects.</AbstractText>
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