Residential proximity to industrial pollution and mammographic density
Por:
Jiménez T, Pollán M, Domínguez-Castillo A, Lucas P, Sierra MÁ, Fernández de Larrea-Baz N, González-Sánchez M, Salas-Trejo D, Llobet R, Martínez I, Pino MN, Martínez-Cortés M, Pérez-Gómez B, Lope V and García-Pérez J
Publicada:
10 jul 2022
Ahead of Print:
1 mar 2022
Resumen:
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.
Filiaciones:
Jiménez T:
Department of Preventive Medicine, Public Health and Microbiology, Universidad Autónoma de Madrid (UAM), Madrid, Spain
Pollán M:
Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain
Domínguez-Castillo A:
Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Lucas P:
Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Sierra MÁ:
Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain
Fernández de Larrea-Baz N:
Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain
González-Sánchez M:
Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain
:
Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain
Valencian Breast Cancer Screening Program, General Directorate of Public Health, Valencia, Spain
Center for Public Health Research CSISP, FISABIO, Valencia, Spain
Llobet R:
Institute of Computer Technology, Universitat Politècnica de València, Valencia, Spain
:
Valencian Breast Cancer Screening Program, General Directorate of Public Health, Valencia, Spain
Center for Public Health Research CSISP, FISABIO, Valencia, Spain
Pino MN:
Servicio de Prevención y Promoción de la Salud, Madrid Salud, Ayuntamiento de Madrid, Madrid, Spain
Martínez-Cortés M:
Servicio de Prevención y Promoción de la Salud, Madrid Salud, Ayuntamiento de Madrid, Madrid, Spain
Pérez-Gómez B:
Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain
Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Lope V:
Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain
García-Pérez J:
Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Madrid, Spain
Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain
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