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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:32:55Z</responseDate> <request identifier=oai:HAL:hal-00875979v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00875979v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdv</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:SANTE_PUB_INSERM</setSpec> <setSpec>collection:IFR140</setSpec> <setSpec>collection:GENES</setSpec> <setSpec>collection:ENSAI</setSpec> <setSpec>collection:IRSET</setSpec> <setSpec>collection:UNIV-RENNES1</setSpec> <setSpec>collection:IRSET-ERD</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:BIOSIT</setSpec> <setSpec>collection:PELAGIE</setSpec> <setSpec>collection:UR1-UFR-SVE</setSpec> <setSpec>collection:IRMAR</setSpec> <setSpec>collection:IRMAR-STAT</setSpec> <setSpec>collection:UNAM</setSpec> <setSpec>collection:AGROCAMPUS-OUEST</setSpec> <setSpec>collection:INRIA</setSpec> <setSpec>collection:UR1-HAL</setSpec> <setSpec>collection:EHESP</setSpec> <setSpec>collection:USPC</setSpec> <setSpec>collection:UR1-MATH-STIC</setSpec> <setSpec>collection:UR1-SDV</setSpec> <setSpec>collection:STATS-UR1</setSpec> <setSpec>collection:UNIV-ANGERS</setSpec> <setSpec>collection:IRSET-9</setSpec> <setSpec>collection:UNIV-RENNES2</setSpec> <setSpec>collection:UR2-HB</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Association of environmental insecticide exposure and fetal growth with a Bayesian model including multiple exposure sources: the PELAGIE mother-child cohort.</title> <creator>Petit, Claire</creator> <creator>Blangiardo, Marta</creator> <creator>Richardson, Sylvia</creator> <creator>Coquet, François</creator> <creator>Chevrier, Cécile</creator> <creator>Cordier, Sylvaine</creator> <contributor>Institut de recherche, santé, environnement et travail [Rennes] (Irset) ; Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )</contributor> <contributor>Department of Epidemiology and Public Health ; Imperial College Norfolk Place</contributor> <contributor>Institut de Recherche Mathématique de Rennes (IRMAR) ; Université de Rennes 1 (UR1) - AGROCAMPUS OUEST - École normale supérieure - Rennes (ENS Rennes) - Institut National de Recherche en Informatique et en Automatique (Inria) - Institut National des Sciences Appliquées (INSA) - Université de Rennes 2 (UR2) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Ecole Nationale de la Statistique et de l'Analyse de l'Information (ENSAI) ; Ensai, Ecole Nationale de la Statistique et de l'Analyse de l'Information</contributor> <contributor>the National Institute for Public Health Surveillance; the Ministry of Labor; the Regional Health Department of the Brittany region; a fellowship from GlaxoSmithKline.</contributor> <description>International audience</description> <source>ISSN: 0002-9262</source> <source>EISSN: 1476-6256</source> <source>American Journal of Epidemiology</source> <publisher>Oxford University Press (OUP)</publisher> <identifier>hal-00875979</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00875979</identifier> <source>https://hal.archives-ouvertes.fr/hal-00875979</source> <source>American Journal of Epidemiology, Oxford University Press (OUP), 2012, 175 (11), pp.1182-90. 〈10.1093/aje/kwr422〉</source> <identifier>DOI : 10.1093/aje/kwr422</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1093/aje/kwr422</relation> <identifier>PUBMED : 22534205</identifier> <relation>info:eu-repo/semantics/altIdentifier/pmid/22534205</relation> <language>en</language> <subject lang=en>agricultural activities</subject> <subject lang=en>Bayesian modeling</subject> <subject lang=en>birth weight</subject> <subject lang=en>diet</subject> <subject lang=en>household use</subject> <subject lang=en>insecticide exposure</subject> <subject lang=en>multiple sources</subject> <subject lang=en>head circumference</subject> <subject>[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>It has been suggested that prenatal exposure to insecticides adversely affects fetal growth, but the overall results have been inconsistent, partly because of the different exposure sources and exposure assessments used. In the French PELAGIE (Perturbateurs Endocriniens: Étude Longitudinale sur les Anomalies de la Grossesse, l'Infertilité et l'Enfance) mother and child cohort (2002-2006), the authors investigated the association between fetal growth and insecticide exposure (n = 1,213) using an integrated Bayesian latent variable model to include multiple exposure sources: agricultural activities, nonorganic diet, household insecticide use on plants, and household insecticide use against insects. They used a questionnaire to collect information on household use and organic diet, and a national agricultural census provided data on agricultural activities in the women's municipalities of residence. A 0.10-cm decrease in head circumference at birth (95% credibility interval: -0.22, 0.01) was associated with fetal insecticide exposure from agricultural activities in the municipality of residence. Decreases in average birth weight (-27 g; 95% credibility interval: -59, 6) and head circumference (-0.12 cm; 95% credibility interval: -0.26, 0.01) were associated with household insecticide use to treat plants. The present results suggest an inverse association between fetal growth and prenatal insecticide exposure from nearby agricultural activity or household use. Bayesian modeling via latent variables is a natural framework for including multiple sources of exposure to environmental pollutants.</description> <date>2012-06-01</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>