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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>2018-01-17T12:18:35Z</responseDate> <request identifier=oai:HAL:hal-01647159v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01647159v1</identifier> <datestamp>2018-01-03</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdv</setSpec> <setSpec>collection:UNIV-RENNES1</setSpec> <setSpec>collection:IRSET</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:UNIV-ANGERS</setSpec> <setSpec>collection:IRSET-ERD</setSpec> <setSpec>collection:IFR140</setSpec> <setSpec>collection:BIOSIT</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:UR1-HAL</setSpec> <setSpec>collection:UR1-SDV</setSpec> <setSpec>collection:IRSET-9</setSpec> <setSpec>collection:STATS-UR1</setSpec> <setSpec>collection:UR1-UFR-SVE</setSpec> <setSpec>collection:EHESP</setSpec> <setSpec>collection:USPC</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Association of light-to-moderate alcohol drinking in pregnancy with preterm birth and birth weight: elucidating bias by pooling data from nine European cohorts</title> <creator>Magnus, P.</creator> <creator>Nohr, E.A.</creator> <creator>Richiardi, L.</creator> <creator>Rodriguez-Bernal, C.L.</creator> <creator>Rouget, F.</creator> <creator>Rusconi, F.</creator> <creator>Vrijheid, M.</creator> <creator>Andersen, A.-M.N.</creator> <creator>Strandberg-Larsen, K.</creator> <creator>Poulsen, G.</creator> <creator>Bech, B.H.</creator> <creator>Chatzi, L.</creator> <creator>Cordier, S.</creator> <creator>Dale, M.T.G.</creator> <creator>Fernandez, M.</creator> <creator>Henriksen, T.B.</creator> <creator>Jaddoe, V.W.</creator> <creator>Kogevinas, M.</creator> <creator>Kruithof, C.J.</creator> <creator>Lindhard, M.S.</creator> <contributor>Norwegian Institute of Public Health</contributor> <contributor>University of Southern Denmark</contributor> <contributor>University of Turin</contributor> <contributor>Cancer Epidemiology Unit ; Université de Turin - CPO-Piemonte</contributor> <contributor>Centre for Public Health Research (CSISP-FISABIO)</contributor> <contributor>Universidad de València (UV)</contributor> <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>Anna Meyer Children's Hospital and University of Florence</contributor> <contributor>Center for Research in Environmental Epidemiology (CREAL) ; Universitat Pompeu Fabra [Barcelona] - Catalunya ministerio de salud</contributor> <contributor>University of Copenhagen (KU)</contributor> <contributor>Aarhus University [Aarhus]</contributor> <contributor>University of Crete (UOC)</contributor> <contributor>University of Oslo (UiO)</contributor> <contributor>University of Granada [Granada]</contributor> <contributor>Erasmus University Medical Center [Rotterdam]</contributor> <description>International audience</description> <source>ISSN: 03932990</source> <source>European Journal of Epidemiology</source> <identifier>hal-01647159</identifier> <identifier>https://hal-univ-rennes1.archives-ouvertes.fr/hal-01647159</identifier> <source>https://hal-univ-rennes1.archives-ouvertes.fr/hal-01647159</source> <source>European Journal of Epidemiology, 2017, 32 (9), pp.751-764. 〈10.1007/s10654-017-0323-2〉</source> <identifier>DOI : 10.1007/s10654-017-0323-2</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/s10654-017-0323-2</relation> <identifier>PUBMED : 29027084</identifier> <relation>info:eu-repo/semantics/altIdentifier/pmid/29027084</relation> <language>en</language> <subject lang=en>Preterm birth</subject> <subject lang=en>Small for gestational age</subject> <subject lang=en>Confounding</subject> <subject lang=en>Alcohol</subject> <subject lang=en>Birth weight</subject> <subject lang=en>Cohort study</subject> <subject>[SDV.EE.SANT] Life Sciences [q-bio]/Ecology, environment/Health</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>Women who drink light-to-moderately during pregnancy have been observed to have lower risk of unfavourable pregnancy outcomes than abstainers. This has been suggested to be a result of bias. In a pooled sample, including 193 747 live-born singletons from nine European cohorts, we examined the associations between light-to-moderate drinking and preterm birth, birth weight, and small-for-gestational age in term born children (term SGA). To address potential sources of bias, we compared the associations from the total sample with a sub-sample restricted to first-time pregnant women who conceived within six months of trying, and examined whether the associations varied across calendar time. In the total sample, drinking up to around six drinks per week as compared to abstaining was associated with lower risk of preterm birth, whereas no significant associations were found for birth weight or term SGA. Drinking six or more drinks per week was associated with lower birth weight and higher risk of term SGA, but no increased risk of preterm birth. The analyses restricted to women without reproductive experience revealed similar results. Before 2000 approximately half of pregnant women drank alcohol. This decreased to 39% in 2000–2004, and 14% in 2005–2011. Before 2000, every additional drink was associated with reduced mean birth weight, whereas in 2005–2011, the mean birth weight increased with increasing intake. The period-specific associations between low-to-moderate drinking and birth weight, which also were observed for term SGA, are indicative of bias. It is impossible to distinguish if the bias is attributable to unmeasured confounding, which change over time or cohort heterogeneity. © 2017, Springer Science+Business Media B.V.</description> <date>2017</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>