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DOI 10.1016/j.scitotenv.2022.154578

Медицинская библиотека · The Science of the total environment · 2022

Residential proximity to industrial pollution and mammographic density.

Jiménez Tamara, Pollán Marina, Domínguez-Castillo Alejandro, Lucas Pilar, Sierra María Ángeles, Fernández de Larrea-Baz Nerea, González-Sánchez Mario, Salas-Trejo Dolores, Llobet Rafael, Martínez Inmaculada, Pino Marina Nieves, Martínez-Cortés Mercedes, Pérez-Gómez Beatriz, Lope Virginia, García-Pérez Javier

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Аннотация

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.

Для цитирования: Jiménez Tamara, Pollán Marina, Domínguez-Castillo Alejandro, Lucas Pilar, Sierra María Ángeles, Fernández de Larrea-Baz Nerea, González-Sánchez Mario, Salas-Trejo Dolores, Llobet Rafael, Martínez Inmaculada, Pino Marina Nieves, Martínez-Cortés Mercedes, Pérez-Gómez Beatriz, Lope Virginia, García-Pérez Javier. Residential proximity to industrial pollution and mammographic density.. The Science of the total environment. 2022. DOI: 10.1016/j.scitotenv.2022.154578.

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