Publication: Residential proximity to industrial pollution and mammographic density
| dc.contributor.author | Jiménez, Tamara | |
| dc.contributor.author | Pollan-Santamaria, Marina | |
| dc.contributor.author | Domínguez-Castillo, Alejandro | |
| dc.contributor.author | de Lucas, Maria Pilar | |
| dc.contributor.author | Sierra, Maria Angeles | |
| dc.contributor.author | Fernandez de Larrea-Baz, Nerea | |
| dc.contributor.author | Gonzalez-Sanchez, Mario | |
| dc.contributor.author | Salas-Trejo, Dolores | |
| dc.contributor.author | Llobet, Rafael | |
| dc.contributor.author | Martínez, Inmaculada | |
| dc.contributor.author | Pino, Marina Nieves | |
| dc.contributor.author | Martínez-Cortés, Mercedes | |
| dc.contributor.author | Perez-Gomez, Beatriz | |
| dc.contributor.author | Lope Carvajal, Virginia | |
| dc.contributor.author | García-Pérez, Javier | |
| dc.contributor.funder | Instituto de Salud Carlos III | |
| dc.date.accessioned | 2023-08-23T07:44:45Z | |
| dc.date.available | 2023-08-23T07:44:45Z | |
| dc.date.issued | 2022-07-10 | |
| dc.description.abstract | 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 pollutant industries in premenopausal Spanish women. Methods: 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 intervals (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" (β = 4.98, 95%CI = (0.85; 9.12) at ≤1.5 km, and β = 3.00, 95%CI = (0.26; 5.73) at ≤2.5 km), "organic chemical industry" (β = 6.73, 95%CI = (0.50; 12.97) at ≤1.5 km), "pharmaceutical products" (β = 4.14, 95%CI = (0.58; 7.70) at ≤2 km; β = 3.55, 95%CI = (0.49; 6.60) at ≤2.5 km; and β = 3.11, 95%CI = (0.20; 6.01) at ≤3 km), and "urban waste-water treatment plants" (β = 8.06, 95%CI = (0.82; 15.30) at ≤1 km; β = 5.28; 95%CI = (0.49; 10.06) at ≤1.5 km; β = 4.30, 95%CI = (0.03; 8.57) at ≤2 km; β = 5.26, 95%CI = (1.83; 8.68) at ≤2.5 km; and β = 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 (β = 4.55, 95%CI = (0.26; 8.83) at ≤1.5 km; and β = 3.81, 95%CI = (0.49; 7.14) at ≤2 km), dichloromethane (β = 3.86, 95%CI = (0.00; 7.71) at ≤2 km), ethylbenzene (β = 8.96, 95%CI = (0.57; 17.35) at ≤3 km), and phenols (β = 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.peerreviewed | No | 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.format.page | 154578 | es_ES |
| dc.format.volume | 829 | es_ES |
| dc.identifier.citation | Sci Total Environ. 2022 Jul 10;829:154578. | es_ES |
| dc.identifier.doi | 10.1016/j.scitotenv.2022.154578 | es_ES |
| dc.identifier.e-issn | 1879-1026 | es_ES |
| dc.identifier.issn | 0048-9697 | es_ES |
| dc.identifier.journal | The Science of the total environment | es_ES |
| dc.identifier.pubmedID | 35304152 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/20.500.12105/16330 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Elsevier | |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI15CIII/0029 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI15CIII/00013 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/EPY-505/19-PFIS | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1016/j.scitotenv.2022.154578 | es_ES |
| dc.repisalud.centro | ISCIII::Centro Nacional de Epidemiología (CNE) | es_ES |
| dc.repisalud.institucion | ISCIII | es_ES |
| dc.rights.accessRights | open access | |
| dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Breast cancer | es_ES |
| dc.subject | Breast density | es_ES |
| dc.subject | Industries | es_ES |
| dc.subject | Pollutants | es_ES |
| dc.subject | Residential proximity | es_ES |
| dc.subject | DDM-Madrid | es_ES |
| dc.subject.mesh | Breast Neoplasms | es_ES |
| dc.subject.mesh | Environmental Pollutants | es_ES |
| dc.subject.mesh | Breast Density | es_ES |
| dc.subject.mesh | Case-Control Studies | es_ES |
| dc.subject.mesh | Cross-Sectional Studies | es_ES |
| dc.subject.mesh | Environmental Pollution | es_ES |
| dc.subject.mesh | Female | es_ES |
| dc.subject.mesh | Humans | es_ES |
| dc.subject.mesh | Risk Factors | es_ES |
| dc.title | Residential proximity to industrial pollution and mammographic density | es_ES |
| dc.type | preprint | es_ES |
| dc.type.hasVersion | SMUR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | cb3b77d8-c78c-4238-9b9d-c1171ff3ab51 | |
| relation.isAuthorOfPublication | 9aca3220-4323-4ae3-8762-7ffdcac35374 | |
| relation.isAuthorOfPublication | 8e27a190-7b2d-4b48-b737-f52c434fa5cd | |
| relation.isAuthorOfPublication | 2e1014f8-a6be-435a-8609-94e0e02ca842 | |
| relation.isAuthorOfPublication | 1157d321-e850-4997-8d9d-252383e6ab8a | |
| relation.isAuthorOfPublication | b79b0ba8-bc4e-4c39-b635-64edb3f60fc5 | |
| relation.isAuthorOfPublication | 4b7eabf1-df99-4684-9c92-42bc37de6a41 | |
| relation.isAuthorOfPublication | 27b5b9ff-3ad2-49c6-9700-ec557c8660b5 | |
| relation.isAuthorOfPublication | 1cc4d04a-da9c-4653-a036-d76b140eedbf | |
| relation.isAuthorOfPublication.latestForDiscovery | cb3b77d8-c78c-4238-9b9d-c1171ff3ab51 | |
| relation.isFunderOfPublication | 7d739953-4b68-4675-b5bb-387a9ab74b66 | |
| relation.isFunderOfPublication.latestForDiscovery | 7d739953-4b68-4675-b5bb-387a9ab74b66 | |
| relation.isPublisherOfPublication | 7d471502-7bd5-4f7a-90a4-8274382509ef | |
| relation.isPublisherOfPublication.latestForDiscovery | 7d471502-7bd5-4f7a-90a4-8274382509ef |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- ResidentialProximityIndustrialPollution_2022.pdf
- Size:
- 1.8 MB
- Format:
- Adobe Portable Document Format
- Description:


