Literature DB >> 7780497

Breast size as a determinant of breast cancer.

D Beijerinck1, P A van Noord, J M Kemmeren, J C Seidell.   

Abstract

OBJECTIVE: To determine whether breast size as reflected in cup size is independently associated with Wolfe's mammographic patterns.
DESIGN: Univariate and multivariate associations between the waist/hip ratio (WHR), body mass index (BMI), cup size, age, parity, age at menarche menopausal status and Wolfe's mammographic parenchymal patterns were determined by (multiple) linear logistic regression.
SETTING: Population based mammographic breast cancer screening project.
SUBJECTS: 7819 women between 39 to 52 years of age.
RESULTS: The univariate analysis demonstrated that women in the lowest tertile with respect to BMI and WHR when compared to women in the upper tertile were significantly more likely to display the high risk P2, Dy breast patterns. Cup size showed a similar inverse relation with the P2, Dy patterns. When age, WHR and BMI are entered together in the multivariate model the relation between cup size and the P2 Dy patterns is no longer significant in the upper tertile.
CONCLUSION: Breast size is not a major independent determinant of the high risk P2, Dy parenchymal breast patterns when the WHR and BMI are taken into account.

Entities:  

Mesh:

Year:  1995        PMID: 7780497

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  2 in total

1.  Mammographic texture resemblance generalizes as an independent risk factor for breast cancer.

Authors:  Mads Nielsen; Celine M Vachon; Christopher G Scott; Konstantin Chernoff; Gopal Karemore; Nico Karssemeijer; Martin Lillholm; Morten A Karsdal
Journal:  Breast Cancer Res       Date:  2014-04-08       Impact factor: 6.466

2.  Coffee intake and CYP1A2*1F genotype predict breast volume in young women: implications for breast cancer.

Authors:  H Jernström; M Henningson; U Johansson; H Olsson
Journal:  Br J Cancer       Date:  2008-09-23       Impact factor: 7.640

  2 in total

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