title: Mammographic parenchymal patterns and self-reported soy intake in Singapore Chinese women.
abstract: The study aimed to investigate whether self-reported dietary variables were associated with mammographic parenchymal patterns, which have been shown to predict risk of breast cancer. Among the 3,421 women, ages 45-74 years, common to two independent population-based cohorts, mammographic parenchymal patterns and current dietary habits were assessed for 406 randomly chosen participants. Logistic regression methods were used to compare dietary and other lifestyle profiles between subjects classified as displaying high (cases) and low risk (controls) parenchymal patterns. After adjustment for energy intake and other potential confounders, dietary soy protein intake was inversely related to risk of high-risk parenchymal pattern (odds ratio, 0.41; 95% confidence interval, 0.18-0.94, highest versus lowest quartile of intake). Similarly, the highest versus lowest quartile of dietary soy isoflavone intake was significantly related to low-risk parenchymal patterns (odds ratio, 0.44; 95% confidence interval, 0.20-0.98). The association between high soy intake and a reduced risk of mammographic parenchymal patterns that are associated with high breast cancer risk may have important implications in breast cancer prevention.
authors.affiliation: National Medical Research Council Clinical Trials and Epidemiology Research Unit, Singapore 169039.
authors.forename: Rupert W
authors.initials: RW
authors.lastname: Jakes
authors.forename: Stephen W
authors.initials: SW
authors.lastname: Duffy
authors.forename: Fook-Cheong
authors.initials: FC
authors.lastname: Ng
authors.forename: Fei
authors.initials: F
authors.lastname: Gao
authors.forename: Eng-Hen
authors.initials: EH
authors.lastname: Ng
authors.forename: Adeline
authors.initials: A
authors.lastname: Seow
authors.forename: Hin-Peng
authors.initials: HP
authors.lastname: Lee
authors.forename: Mimi C
authors.initials: MC
authors.lastname: Yu
mesh_terms: D017677:Age Distribution; D000368:Aged; D001943:Breast Neoplasms / Q000453:epidemiology* / Q000473:pathology* / Q000517:prevention & control; D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D016001:Confidence Intervals; D003430:Cross-Sectional Studies; D004032:Diet; D019587:Dietary Supplements; D005260:Female; D006801:Humans; D015994:Incidence; D008019:Life Style; D016015:Logistic Models; D008327:Mammography / Q000379:methods; D008875:Middle Aged; D016017:Odds Ratio; D010358:Patient Participation; D011322:Primary Prevention / Q000379:methods; D018570:Risk Assessment; D012494:Sampling Studies; D013025:Glycine max