ΗΜΕΡΟΛΟΓΙΟ ΕΙΔΙΚΗΣ - Academia.edu (original) (raw)

Uploads

Papers by ΗΜΕΡΟΛΟΓΙΟ ΕΙΔΙΚΗΣ

... The authors wish to thank Dr. Elena Riza, MSc MPH, for her kind comments and contribution to ... more ... The authors wish to thank Dr. Elena Riza, MSc MPH, for her kind comments and contribution to the manuscript. Conflicts of interest statement The authors confirm that there are no relevant associations that might pose a conflict of interest. References ...

Bookmarks Related papers MentionsView impact

Promoting Health for Working Women, 2008

Bookmarks Related papers MentionsView impact

Cancer Causes & Control, 2009

To examine the effects of various anthropometric determinants on mammographic patterns at postmen... more To examine the effects of various anthropometric determinants on mammographic patterns at postmenopausal ages, accounting for reproductive differences. Mammograms from 900 post-menopausal women classified into high- (P2/DY) versus low-density (N1/P1) groups using the Wolfe criteria were associated with changes in body figure, reported and measured height and weight, body mass index, hip, waist and chest circumferences, chest/hip ratio, waist/hip ratio (WHR), breast size, and leg length. Reproductive factors included ages at menarche, first pregnancy and menopause, years since menopause, parity, and breast feeding duration. The study was nested within a large cross-sectional survey of a population-based breast cancer screening program in Northern Greece. Increasing chest circumference (p = 0.002), change in body build during adulthood to a heavier profile (p = 0.04), and heavy somatotype at age 18 (p = 0.007) were the anthropometric determinants significantly associated with low-density mammographic patterns. Chest circumference as a measure of upper body fat adiposity appears to be a stronger determinant of mammographic patterns than body fat distribution (measured as WHR). A heavy body build in adulthood is associated with decreased mammographic density. Further studies are necessary to confirm our results, ideally prospective cohorts, looking at the effect of anthropometric determinants on mammographic pattern changes over time and breast cancer risk.

Bookmarks Related papers MentionsView impact