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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>2018-01-15T18:29:57Z</responseDate> <request identifier=oai:HAL:hal-01146842v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01146842v1</identifier> <datestamp>2017-12-21</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:IRSET-ERD</setSpec> <setSpec>collection:BIOSIT</setSpec> <setSpec>collection:IFR140</setSpec> <setSpec>collection:UR1-UFR-SVE</setSpec> <setSpec>collection:STATS-UR1</setSpec> <setSpec>collection:UR1-HAL</setSpec> <setSpec>collection:UR1-SDV</setSpec> <setSpec>collection:EHESP</setSpec> <setSpec>collection:USPC</setSpec> <setSpec>collection:IRSET-9</setSpec> <setSpec>collection:UNIV-ANGERS</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Exploring educational disparities in risk of preterm delivery: a comparative study of 12 European birth cohorts</title> <creator>Poulsen, Gry</creator> <creator>Strandberg-Larsen, Katrine</creator> <creator>Mortensen, Laust</creator> <creator>Barros, Henrique</creator> <creator>Cordier, Sylvaine</creator> <creator>Correia, Sofia</creator> <creator>Danileviciute, Asta</creator> <creator>Eijsden, Manon, </creator> <creator>Fernández-Somoano, Ana</creator> <creator>Gehring, Ulrike</creator> <creator>Grazuleviciene, Regina</creator> <creator>Hafkamp-de Groen, Esther</creator> <creator>Henriksen, Tine Brink</creator> <creator>Jensen, Morten Søndergaard</creator> <creator>Larrañaga, Isabel</creator> <creator>Magnus, Per</creator> <creator>Pickett, Kate</creator> <creator>Raat, Hein</creator> <creator>Richiardi, Lorenzo</creator> <creator>Rouget, Florence</creator> <creator>Rusconi, Franca</creator> <creator>Stoltenberg, Camilla</creator> <creator>Uphoff, Eleonora P.</creator> <creator>Vrijkotte, Tanja G. M.</creator> <creator>Wijga, Alet H.</creator> <creator>Vrijheid, Martine</creator> <creator>Osler, Merete</creator> <creator>Andersen, Anne-Marie Nybo</creator> <contributor>Dept. of Epidemiology Research ; Statens Serum Institut</contributor> <contributor>University of Southern Denmark</contributor> <contributor>University of Porto Medical School ; University of Porto Medical School</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>Spanish Consortium for Research on Epidemiology and Public Health ; CIBER de Epidemiología y Salud Pública (CIBERESP)</contributor> <contributor>Risk Assessment Sciences Institute ; Utrecht University [Utrecht]</contributor> <contributor>Vytautas Magnus University ; Vytautas Magnus University</contributor> <contributor>Division of Epidemiology ; Norwegian Institute of Public Health</contributor> <contributor>The Generation R Study; Pediatrics; Epidemiology ; The Generation R Study; Pediatrics; Epidemiology</contributor> <contributor>Cancer Epidemiology Unit ; Université de Turin - CPO-Piemonte</contributor> <contributor>Epidemiologia Ambiental ; Centre for Research in Environmental Epidemiology (CREAL) - Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP) of Pamplona - Institut Hospital del Mar d'Investigacions Mèdiques (IMIM)</contributor> <contributor>Department of Public Health, University of Copenhagen and Research Centre for Prevention and Health ; Department of Public Health, University of Copenhagen and Research Centre for Prevention and Health</contributor> <description>International audience</description> <source>ISSN: 0269-5022</source> <source>EISSN: 1365-3016</source> <source>Paediatric and Perinatal Epidemiology</source> <publisher>Wiley</publisher> <identifier>hal-01146842</identifier> <identifier>https://hal-univ-rennes1.archives-ouvertes.fr/hal-01146842</identifier> <source>https://hal-univ-rennes1.archives-ouvertes.fr/hal-01146842</source> <source>Paediatric and Perinatal Epidemiology, Wiley, 2015, 29 (3), pp.172--183. 〈10.1111/ppe.12185〉</source> <identifier>DOI : 10.1111/ppe.12185</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1111/ppe.12185</relation> <identifier>PUBMED : 25808200</identifier> <relation>info:eu-repo/semantics/altIdentifier/pmid/25808200</relation> <language>en</language> <subject>[SDV] Life Sciences [q-bio]</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>BACKGROUND: An association between education and preterm delivery has been observed in populations across Europe, but differences in methodology limit comparability. We performed a direct cross-cohort comparison of educational disparities in preterm delivery based on individual-level birth cohort data. METHODS: The study included data from 12 European cohorts from Denmark, England, France, Lithuania, the Netherlands, Norway, Italy, Portugal, and Spain. The cohorts included between 2434 and 99 655 pregnancies. The association between maternal education and preterm delivery (22-36 completed weeks of gestation) was reported as risk ratios, risk differences, and slope indexes of inequality with 95% confidence intervals (CIs). RESULTS: Singleton preterm live delivery proportion varied between 3.7% and 7.5%. There were large variations between the cohorts in the distribution of education and maternal characteristics. Nevertheless, there were similar educational differences in risk of preterm delivery in 8 of the 12 cohorts with slope index of inequality varying between 2.2 [95% CI 1.1, 3.3] and 4.0 [95% CI 1.4, 6.6] excess preterm deliveries per 100 singleton deliveries among the educationally most disadvantaged, and risk ratio between the lowest and highest education category varying from 1.4 [95% CI 1.1, 1.8] to 1.9 [95% CI 1.2, 3.1]. No associations were found in the last four cohorts. CONCLUSIONS: Educational disparities in preterm delivery were found all over Europe. Despite differences in the distributions of education and preterm delivery, the results were remarkably similar across the cohorts. For those few cohorts that did not follow the pattern, study and country characteristics did not explain the differences.</description> <date>2015</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>