Ethnic differences in mammographic densities: an Asian cross-sectional study

PLoS One. 2015 Feb 6;10(2):e0117568. doi: 10.1371/journal.pone.0117568. eCollection 2015.

Abstract

Background: Mammographic density is a strong risk factor for breast cancer and is highly variable, but, to date, few studies have examined density in Asian women, particularly those in low and middle-income Asian countries where genetic and lifestyle determinants may be significantly different.

Methods: A total of 1,240 women who attended an opportunistic mammogram screening programme were eligible for analysis. Mammographic density was estimated using a fully-automated thresholding method and differences across ethnic groups were examined using linear regression in 205 randomly selected Chinese women, 138 Malay and 199 Indian women.

Results: Percent density was significantly higher in Chinese women (28.5%; 95% CI 27.0%, 30.0%) compared to Malay (24.2%; 95% CI 22.5%, 26.0%) and Indian (24.3%; 95% CI 22.8%, 25.7%) women (p<0.001), after adjustment for age, BMI, menopausal status, parity and age at first full term pregnancy. Correspondingly, adjusted nondense area was significantly lower in Chinese (72.2cm2; 95% CI 67.9cm2, 76.5cm2) women compared to Malay (92.1cm2; 95% CI 86.9cm2, 97.2cm2) and Indian (97.7cm2; 95% CI 93.4cm2, 101.9cm2) women (p<0.001), but dense area did not differ across the three ethnic groups.

Conclusions: Our study shows that higher percent density and lower nondense area reflect the higher incidence of breast cancer in Chinese compared to Malay and Indian women in Malaysia. Known lifestyle determinants of mammographic density do not fully account for the ethnic variations observed in mammographic density in this Asian cohort.

Publication types

  • Multicenter Study
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Asian People / ethnology*
  • Asian People / psychology
  • Attitude to Health / ethnology*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Malaysia / ethnology
  • Mammography*
  • Middle Aged
  • Pregnancy
  • Singapore / ethnology

Grants and funding

This work is supported by the donors of Cancer Research Initiatives Foundation, particularly funds raised through the Sime Darby LPGA Tournament Malaysia. Work on the automated thresholding method was supported by the Agency for Science, Technology and Research (A-STAR), Singapore under the 2nd Joint Council Office (JCO) Career Development Grant (13302EG065). Jingmei Li is a UNESCO-L’OREAL International Fellow. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.