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High mammographic density in long-term night shift workers: DDM-Spain /Var-DDM

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High mammographic density in long-term night shift workers: DDM-Spain /Var-DDM

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dc.contributor.author Pedraza-Flechas, Ana María es_ES
dc.contributor.author Lope, Virginia es_ES
dc.contributor.author Sanchez-Contador, Carmen es_ES
dc.contributor.author Santamarina, Carmen es_ES
dc.contributor.author Pedraz-Pingarron, Carmen es_ES
dc.contributor.author Moreo, Pilar es_ES
dc.contributor.author Ederra, María es_ES
dc.contributor.author Miranda-Garcia, Josefa es_ES
dc.contributor.author Vidal, Carmen es_ES
dc.contributor.author Llobet Azpitarte, Rafael es_ES
dc.contributor.author Aragonés, Nuria es_ES
dc.contributor.author Salas-Trejo, Dolores es_ES
dc.contributor.author Pollán, Marina es_ES
dc.contributor.author Pérez-Gómez, Beatriz es_ES
dc.date.accessioned 2020-11-10T04:32:29Z
dc.date.available 2020-11-10T04:32:29Z
dc.date.issued 2017-06 es_ES
dc.identifier.issn 1055-9965 es_ES
dc.identifier.uri http://hdl.handle.net/10251/154495
dc.description.abstract [EN] Background: Night-shift work (NSW) has been suggested as a possible cause of breast cancer, and its association with mammographic density (MD), one of the strongest risk factors for breast cancer, has been scarcely addressed. This study examined NSW and MD in Spanish women. Methods: The study covered 2,752 women aged 45-68 years recruited in 2007-2008 in 7 population-based public breast cancer screening centers, which included 243 women who had performed NSW for at least one year. Occupational data and information on potential confounders were collected by personal interview. Two trained radiologist estimated the percentage of MD assisted by a validated semiautomatic computer tool (DM-scan). Multivariable mixed linear regression models with random screening center-specific intercepts were fitted using log-transformed percentage of MD as the dependent variable and adjusting by known confounding variables. Results: Having ever worked in NSW was not associated with MD [e(beta):0.96; 95% confidence interval (CI), 0.86-1.06]. However, the adjusted geometric mean of the percentage of MD in women with NSW for more than 15 years was 25% higher than that of those without NSW history (MD>15 (years):20.7% vs. MDnever:16.5%; e(beta):1.25; 95% CI, 1.01-1.54). This association was mainly observed in postmenopausal participants (e(beta):1.28; 95% CI, 1.00-1.64). Among NSW-exposed women, those with <= 2 night-shifts per week had higher MD than those with 5 to 7 nightshifts per week (e(beta):1.42; 95% CI, 1.10-1.84). Conclusions: Performing NSW was associated with higherMD only in women with more than 15 years of cumulated exposure. These findings warrant replication in futures studies. (C)2017 AACR. es_ES
dc.description.sponsorship We would like to thank the participants in the DDM-Spain/Var-DDM-Spain study for their contribution to breast cancer research. Other members of DDM-Spain/Var-DDM: Gonzalo. López-Abente, Roberto Pastor-Barriuso, Pablo Fernández-Navarro, Anna Cabanes, Soledad Laso, Manuela Alcaraz, María Casals, Inmaculada Martínez, Juan Carlos Pérez Cortés, Joaquín Antón, Nieves Ascunce, Isabel González-Román, Ana Belén Fernández, Montserrat Corujo, Soledad Abad, and Jesús Vioque. A.M. Pedraza-Flechas FI14CIII/00013 PFIS; B. Perez-Gomez FIS PS09/0790; M. Pollán FIS PI060386, EPY1306/06 collaboration agreement between Astra-Zeneca and ISCIII, and FECMA 485 EPY 1170 10; R. LLobet Gent per Gent Fund (EDEMAC Project); All authors: European Regional Development Fund (FEDER). The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. es_ES
dc.language Inglés es_ES
dc.publisher American Association for Cancer Research es_ES
dc.relation.ispartof Cancer Epidemiology Biomarkers & Prevention es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Breast-Cancer Risk es_ES
dc.subject Growth-Hormone es_ES
dc.subject Metaanalysis es_ES
dc.subject Women es_ES
dc.subject Melatonin es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title High mammographic density in long-term night shift workers: DDM-Spain /Var-DDM es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1158/1055-9965.EPI-16-0507 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//FI14CIII%2F00013/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//PS09%2F0790/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//PI060386/ES/Determinantes de la densidad mamográfica en las mujeres participantes de los programas de detección precoz del cáncer de mama en España (DDM-Spain)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//EPY1306%2F06/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FECMA//485 EPY 1170-10/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Pedraza-Flechas, AM.; Lope, V.; Sanchez-Contador, C.; Santamarina, C.; Pedraz-Pingarron, C.; Moreo, P.; Ederra, M.... (2017). High mammographic density in long-term night shift workers: DDM-Spain /Var-DDM. Cancer Epidemiology Biomarkers & Prevention. 26(6):905-913. https://doi.org/10.1158/1055-9965.EPI-16-0507 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1158/1055-9965.EPI-16-0507 es_ES
dc.description.upvformatpinicio 905 es_ES
dc.description.upvformatpfin 913 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 6 es_ES
dc.identifier.pmid 28336582 es_ES
dc.relation.pasarela S\331459 es_ES
dc.contributor.funder AstraZeneca es_ES
dc.contributor.funder Fundación Gent per Gent es_ES
dc.contributor.funder Instituto de Salud Carlos III es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Federación Española de Cáncer de Mama es_ES


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