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Randomized Controlled Trial
. 2015 Feb 6;10(2):e0117568.
doi: 10.1371/journal.pone.0117568. eCollection 2015.

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

Affiliations
Randomized Controlled Trial

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

Shivaani Mariapun et al. PLoS One. .

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.

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Conflict of interest statement

Competing Interests: The authors have the following interests. This study was partly funded by funds raised through the Sime Darby LPGA Tournament Malaysia. Jingmei Li is a UNESCO-L’OREAL International Fellow. There are no patents, products in development or marketed products to declare. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors.

Figures

Fig 1
Fig 1. Unadjusted and adjusted A) mean percent density, B) mean dense area and C) mean nondense area with 95% confidence intervals by ethnicity.
Note: aAdjusted for age, BMI, menopausal status, parity and mean adjusted age at first full term pregnancy; bAdjusted for age, BMI, menopausal status and parity; cAdjusted for age, BMI and menopausal status.

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