BACKGROUND: Mammographic density has been found to be a strong risk factor for breast cancer and to be associated with age, body weight, parity, and menopausal status. Most studies to date have been carried out in Western populations. The purpose of the study described here was to determine in a cross-sectional study in a Singaporean Chinese population the demographic, menstrual, reproductive, and anthropometric factors that are associated with quantitative variations in age-adjusted percentage mammographic densities and to examine the association of these factors with the dense and nondense areas of the mammogram. METHOD: We used mammograms and questionnaire data collected from subjects in the Singapore Breast Screening Project. Women ages 45 to 69 years participated and 84% of those screened were Chinese. Mammograms were digitized and percentage density was measured and analyzed in relation to the questionnaire data. RESULTS: Percentage mammographic density was associated with several risk factors for breast cancer, most of them also associated, in opposite directions, with the dense and nondense components of the image. Percentage density was associated with age and weight (both negatively), height and age at first birth (both positively), and number of births and postmenopausal status (both negatively). Percentage density was weakly associated with a previous breast biopsy but was not associated with age at menarche or menopause, with use of hormones, or with a family history of breast cancer. CONCLUSION: Percentage mammographic density in Singaporean Chinese women has similar associations with risk factors for breast cancer to those seen in Caucasians.
BACKGROUND: Mammographic density has been found to be a strong risk factor for breast cancer and to be associated with age, body weight, parity, and menopausal status. Most studies to date have been carried out in Western populations. The purpose of the study described here was to determine in a cross-sectional study in a Singaporean Chinese population the demographic, menstrual, reproductive, and anthropometric factors that are associated with quantitative variations in age-adjusted percentage mammographic densities and to examine the association of these factors with the dense and nondense areas of the mammogram. METHOD: We used mammograms and questionnaire data collected from subjects in the Singapore Breast Screening Project. Women ages 45 to 69 years participated and 84% of those screened were Chinese. Mammograms were digitized and percentage density was measured and analyzed in relation to the questionnaire data. RESULTS: Percentage mammographic density was associated with several risk factors for breast cancer, most of them also associated, in opposite directions, with the dense and nondense components of the image. Percentage density was associated with age and weight (both negatively), height and age at first birth (both positively), and number of births and postmenopausal status (both negatively). Percentage density was weakly associated with a previous breast biopsy but was not associated with age at menarche or menopause, with use of hormones, or with a family history of breast cancer. CONCLUSION: Percentage mammographic density in Singaporean Chinese women has similar associations with risk factors for breast cancer to those seen in Caucasians.
Authors: Stacey E Alexeeff; Nnaemeka U Odo; Jafi A Lipson; Ninah Achacoso; Joseph H Rothstein; Martin J Yaffe; Rhea Y Liang; Luana Acton; Valerie McGuire; Alice S Whittemore; Daniel L Rubin; Weiva Sieh; Laurel A Habel Journal: Cancer Epidemiol Biomarkers Prev Date: 2017-07-11 Impact factor: 4.254
Authors: Eunjung Lee; Namphuong Doanvo; MiHee Lee; Zayar Soe; Alice W Lee; Cam Van Doan; Dennis Deapen; Giske Ursin; Darcy Spicer; Peggy Reynolds; Anna H Wu Journal: Cancer Causes Control Date: 2020-01-08 Impact factor: 2.506
Authors: Carolyn J Crandall; Aaron K Aragaki; Jane A Cauley; Anne McTiernan; Joann E Manson; Garnet L Anderson; Jean Wactawski-Wende; Rowan T Chlebowski Journal: Breast Cancer Res Treat Date: 2011-10-07 Impact factor: 4.872
Authors: Parisa Tehranifar; Diane Reynolds; Julie Flom; Loralee Fulton; Yuyan Liao; Elizabeth Kudadjie-Gyamfi; Mary Beth Terry Journal: Cancer Causes Control Date: 2011-02-17 Impact factor: 2.506
Authors: Lesley M Butler; Ellen B Gold; Gail A Greendale; Carolyn J Crandall; Francesmary Modugno; Nina Oestreicher; Charles P Quesenberry; Laurel A Habel Journal: Breast Cancer Res Treat Date: 2007-12-09 Impact factor: 4.872
Authors: Joanne F Dorgan; Catherine Klifa; Snehal Deshmukh; Brian L Egleston; John A Shepherd; Peter O Kwiterovich; Linda Van Horn; Linda G Snetselaar; Victor J Stevens; Alan M Robson; Norman L Lasser; Nola M Hylton Journal: Cancer Causes Control Date: 2013-08-10 Impact factor: 2.506
Authors: Julie A Douglas; Marie-Hélène Roy-Gagnon; Chuan Zhou; Braxton D Mitchell; Alan R Shuldiner; Heang-Ping Chan; Mark A Helvie Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-11-24 Impact factor: 4.254
Authors: Carolyn J Crandall; Mary E Sehl; Sybil L Crawford; Ellen B Gold; Laurel A Habel; Lesley M Butler; Maryfran R Sowers; Gail A Greendale; Janet S Sinsheimer Journal: Breast Cancer Res Date: 2009-07-27 Impact factor: 6.466