Body composition and breast cancer in postmenopausal women: a Danish prospective cohort study

Obesity (Silver Spring). 2006 Oct;14(10):1854-62. doi: 10.1038/oby.2006.214.

Abstract

Objective: To assess the importance of body fat mass (BFM) and fat free mass (FFM) for the established positive association between BMI and breast cancer among post-menopausal women.

Research methods and procedures: A prospective cohort of 23,788 postmenopausal women included in the Danish study Diet, Cancer, and Health during 1993 to 1997 was linked to the Danish Cancer Registry to identify all cases of breast cancer occurring during 1993 to 2002. Breast cancer incidence rate ratios for anthropometric measurements with adjustment for known risk factors for breast cancer were calculated by Cox regression analyses.

Results: Among the most commonly used anthropometric measurements, BMI was positively associated with breast cancer among never users of hormone replacement therapy (HRT). By splitting BMI into two indices, BFM index and FFM index, we found that the incidence rate ratio with each 1 kg/m(2) among never users of HRT was 0.98 (95% confidence interval, 0.93 to 1.03) for BFM index and 1.12 (95% confidence interval, 1.00 to 1.26) for FFM index after mutual adjustment.

Discussion: The finding for BMI was in accordance with previous findings. Our results indicate that the FFM component of BMI may play a role for development of breast cancer among never users of HRT.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adipose Tissue / metabolism
  • Adiposity / physiology
  • Alcohol Drinking
  • Body Composition / physiology*
  • Body Mass Index
  • Breast Neoplasms / epidemiology
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / physiopathology*
  • Cohort Studies
  • Denmark / epidemiology
  • Educational Status
  • Female
  • Hormone Replacement Therapy / statistics & numerical data
  • Humans
  • Middle Aged
  • Parity
  • Postmenopause / physiology*
  • Pregnancy
  • Proportional Hazards Models
  • Prospective Studies
  • Registries / statistics & numerical data