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Residential proximity to industrial pollution and mammographic density

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Instituto de Salud Carlos III
    • بيانات النشر:
      Elsevier
    • الموضوع:
      2022
    • Collection:
      REPISALUD (REPositorio Institucional en SALUD del Instituto de Salud Carlos III - ISCIII)
    • نبذة مختصرة :
      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, ...
    • Relation:
      https://doi.org/10.1016/j.scitotenv.2022.154578; info:eu-repo/grantAgreement/ES/PI15CIII/0029; info:eu-repo/grantAgreement/ES/PI15CIII/00013; info:eu-repo/grantAgreement/ES/EPY-505/19-PFIS; Sci Total Environ. 2022 Jul 10;829:154578.; http://hdl.handle.net/20.500.12105/16330; The Science of the total environment
    • الرقم المعرف:
      10.1016/j.scitotenv.2022.154578
    • الدخول الالكتروني :
      https://hdl.handle.net/20.500.12105/16330
      https://doi.org/10.1016/j.scitotenv.2022.154578
    • Rights:
      http://creativecommons.org/licenses/by-nc-nd/4.0/ ; Attribution-NonCommercial-NoDerivatives 4.0 Internacional ; open access
    • الرقم المعرف:
      edsbas.9277DAF