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Residential proximity to industrial pollution and mammographic density

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Residential proximity to industrial pollution and mammographic density

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dc.contributor.author Jiménez, Tamara es_ES
dc.contributor.author Pollán, Marina es_ES
dc.contributor.author Domínguez-Castillo, Alejandro es_ES
dc.contributor.author Lucas, Pilar es_ES
dc.contributor.author Sierra, María Ángeles es_ES
dc.contributor.author Fernández de Larrea-Baz, Nerea es_ES
dc.contributor.author González-Sánchez, Mario es_ES
dc.contributor.author Salas-Trejo, Dolores es_ES
dc.contributor.author Llobet Azpitarte, Rafael es_ES
dc.contributor.author Martinez, Inmaculada es_ES
dc.contributor.author Pino, María Nieves es_ES
dc.contributor.author Martínez-Cortés, Mercedes es_ES
dc.contributor.author Pérez-Gómez, Beatriz es_ES
dc.contributor.author Lope, Virginia es_ES
dc.contributor.author García-Pérez, Javier es_ES
dc.date.accessioned 2023-03-27T18:01:33Z
dc.date.available 2023-03-27T18:01:33Z
dc.date.issued 2022-07-10 es_ES
dc.identifier.issn 0048-9697 es_ES
dc.identifier.uri http://hdl.handle.net/10251/192624
dc.description.abstract [EN] Background: Mammographic density (MD), expressed as percentage of fibroglandular breast tissue, is an important risk factor for breast cancer. Our objective is to investigate the relationship between MD and residential proximity to pol-lutant industries in premenopausal Spanish women. MeOds: A cross-sectional study was carried out in a sample of 1225 women extracted from the DDM-Madrid study. Multiple linear regression models were used to assess the association of MD percentage (and their 95% confidence in-tervals (95%CIs)) and proximity (between 1 km and 3 km) to industries included in the European Pollutant Release and Transfer Register. Results: Although no association was found between MD and distance to all industries as a whole, several industrial sectors showed significant association for some distances: "surface treatment of metals and plastic" (j3 = 4.98, 95%CI = (0.85; 9.12) at <_1.5 km, and j3 = 3.00, 95%CI = (0.26; 5.73) at <_2.5 km), "organic chemical industry" (j3 = 6.73, 95%CI = (0.50; 12.97) at <_1.5 km), "pharmaceutical products" (j3 = 4.14, 95%CI = (0.58; 7.70) at <_2 km; j3 = 3.55, 95%CI = (0.49; 6.60) at <_2.5 km; and j3 = 3.11, 95%CI = (0.20; 6.01) at <_3 km), and "urban waste-water treatment plants" (j3 = 8.06, 95%CI = (0.82; 15.30) at <_1 km; j3 = 5.28; 95%CI = (0.49; 10.06) at <_1.5 km; j3 = 4.30, 95%CI = (0.03; 8.57) at <_2 km; j3 = 5.26, 95%CI = (1.83; 8.68) at <_2.5 km; and j3 = 3.19, 95%CI = (0.46; 5.92) at <_3 km). Moreover, significant increased MD was observed in women close to industries releasing specific pollutants: ammonia (j3 = 4.55, 95%CI = (0.26; 8.83) at <_1.5 km; and j3 = 3.81, 95%CI = (0.49; 7.14) at <_2 km), dichloromethane (j3 = 3.86, 95%CI = (0.00; 7.71) at <_2 km), ethylbenzene (j3 = 8.96, 95%CI = (0.57; 17.35) at <_3 km), and phenols (j3 = 2.60, 95%CI = (0.21; 5.00) at <_2.5 km). Conclusions: Our results suggest no statistically significant relationship between MD and proximity to industries as a whole, although we detected associations with various industrial sectors and some specific pollutants, which suggests that MD could have a mediating role in breast carcinogenesis. es_ES
dc.description.sponsorship We would like to thank the participants in the DDM-Madrid study for their contribution to breast cancer research. This work was supported by the Carlos III Institute of Health (AESI PI15CIII/0029, AESI PI15CIII/00013, and EPY-505/19-PFIS) . The article presents independent research. The views expressed are those of the authors and not necessarily those of the Carlos III Institute of Health. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Science of The Total Environment es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Residential proximity to industrial pollution and mammographic density es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.scitotenv.2022.154578 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//AESI PI15CIII%2F00029/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//AESI PI15CIII%2F00013/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//EPY-505%2F19-PFIS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Jiménez, T.; Pollán, M.; Domínguez-Castillo, A.; Lucas, P.; Sierra, MÁ.; Fernández De Larrea-Baz, N.; González-Sánchez, M.... (2022). Residential proximity to industrial pollution and mammographic density. Science of The Total Environment. 829:1-11. https://doi.org/10.1016/j.scitotenv.2022.154578 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.scitotenv.2022.154578 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 11 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 829 es_ES
dc.identifier.pmid 35304152 es_ES
dc.relation.pasarela S\458931 es_ES
dc.contributor.funder Instituto de Salud Carlos III es_ES


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