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1.
Menopause ; 15(2): 319-25, 2008.
Article in English | MEDLINE | ID: mdl-18090034

ABSTRACT

OBJECTIVE: To evaluate the associations of body composition, including percentage of lean and fat mass, with the percentage of mammographic density and mammographic dense area among pre- and postmenopausal Hispanic and non-Hispanic white women. DESIGN: In this cross-sectional study, a total of 238 women aged 41 to 50 or 56 to 70 years were recruited from local mammography clinics and community health centers. Postmenopausal status was defined as an absence of any menstrual cycle within the past 12 calendar months or having a follicle-stimulating hormone level between 22 and 138 mIU/mL. The participants' most recent mammograms were used for the mammographic density analysis. Body composition was measured by dual-energy x-ray absorptiometry. The associations between the percentage of mammographic density or mammographic dense area and body composition components were analyzed using logistic regression. RESULTS: Mammographic dense areas were similar in Hispanic and non-Hispanic white women. The percentage of mammographic density varied by ethnicity in premenopausal (P = 0.023), but not in postmenopausal women. Body composition, both higher lean mass and lower fat mass, was associated with a higher percentage of mammographic density (P < 0.05). Interestingly, a higher percentage of total body fat mass and a lower percentage of total body lean mass were correlated with larger breast dense areas in premenopausal women but with lower breast dense areas in postmenopausal women. These relationships between body composition and mammographic density measurements were not significantly affected by factors such as age, ethnicity, and body weight. CONCLUSIONS: Body composition is highly correlated with mammographic density and should be examined as a possible confounding factor in studies involving mammographic density measurements and breast cancer risk.


Subject(s)
Adiposity , Breast/anatomy & histology , Mammography , Postmenopause , Premenopause , Absorptiometry, Photon , Adiposity/ethnology , Adiposity/physiology , Adult , Aged , Cross-Sectional Studies , Female , Hispanic or Latino , Humans , Middle Aged , Postmenopause/ethnology , Postmenopause/physiology , Premenopause/ethnology , Premenopause/physiology , White People
2.
Menopause ; 14(2): 243-50, 2007.
Article in English | MEDLINE | ID: mdl-17091096

ABSTRACT

OBJECTIVE: The extent to which modifiable dietary factors may account for some of the variability demonstrated in mammographic density across ethnic groups is unknown. The purpose of this study was to provide pilot data describing the relationship between dietary variables and mammographic density in pre- and postmenopausal Hispanic and non-Hispanic white (NHW) women (N=238) ranging in age from 41 to 50 years (premenopausal only) or 56 to 70 years (postmenopausal only). DESIGN: Using a cross-sectional design, computer-assisted density assessments were performed on mammograms of both breasts and averaged for analysis. The Arizona Food Frequency Questionnaire was used to estimate dietary intake. RESULTS: Study participants were well educated and overweight, with mean mammographic densities ranging from 20.25% for postmenopausal Hispanic women to 46.94% for premenopausal NHW women. Hispanic women reported higher energy intake than NHW women, but energy-adjusted intake of other nutrients was generally comparable. There was preliminary evidence of ethnic variability in diet-mammographic density associations. Among premenopausal Hispanic women, density was inversely associated with dairy, calcium, and vitamin D intakes (P

Subject(s)
Breast Neoplasms/epidemiology , Breast Neoplasms/prevention & control , Breast/pathology , Diet , Hispanic or Latino/statistics & numerical data , Menopause , Adult , Aged , Arizona/epidemiology , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/ethnology , Breast Neoplasms/etiology , Cross-Sectional Studies , Diet Records , Dietary Fats/administration & dosage , Female , Humans , Mammography , Middle Aged , Pilot Projects , Risk Factors , Surveys and Questionnaires
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