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Occupation and mammographic density: A population-based study (DDM-Occup).

Javier García-Pérez1, Marina Pollán1, Beatriz Pérez-Gómez1

  • 1Cancer and Environmental Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Spain.

Environmental Research
|August 27, 2017
PubMed

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Summary
This summary is machine-generated.

High mammographic density, a breast cancer risk factor, was linked to specific occupations in Spanish women. Secondary school teachers and nurses showed higher density, with a trend for teachers correlating with years worked.

Area of Science:

  • Epidemiology
  • Occupational Health
  • Radiology

Background:

  • High mammographic density is a significant risk factor for breast cancer.
  • Previous research has linked certain occupations to breast cancer risk, but not specifically to mammographic density.
  • Understanding occupational associations with mammographic density can inform targeted breast cancer prevention strategies.

Purpose of the Study:

  • To identify occupations associated with high mammographic density among Spanish female workers.
  • To investigate potential occupational determinants of mammographic density in a population-based sample.

Main Methods:

  • A population-based cross-sectional study involving 1476 Spanish women aged 45-68.
  • Occupational history was collected and coded using the 1994 National Classification of Occupations.
Keywords:
Breast cancerDDM-OccupMammographic densityNursesOccupationSchool teachers

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  • Mammographic density was assessed using a semi-automated computer-assisted tool and analyzed with mixed linear regression models, adjusting for multiple confounders.

    • Main Results:

    • Secondary school teachers (eβ = 1.41) and nurses (eβ = 1.23) exhibited higher mammographic density, though not statistically significant.
    • Workers in caregiving roles (eβ = 0.81) and housewives (eβ = 0.87) showed an inverse association with mammographic density.
    • A statistically significant positive trend was observed between years worked as a secondary school teacher and mammographic density (p=0.035).

    Conclusions:

    • Nurses and secondary school teachers were identified as occupations with the highest mammographic density.
    • The duration of employment as a secondary school teacher showed a positive association with mammographic density.
    • Further research is needed to confirm these findings and explore potential causal mechanisms.