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Metabolic syndrome, insulin resistance, and mammographic density in pre- and postmenopausal women.
- Source :
-
Breast cancer research and treatment [Breast Cancer Res Treat] 2015 Sep; Vol. 153 (2), pp. 425-34. Date of Electronic Publication: 2015 Aug 18. - Publication Year :
- 2015
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Abstract
- Little is known about the association of metabolic syndrome (MetS) or insulin resistance (IR) with mammographic density, a strong risk factor for breast cancer. The goal of this study was to evaluate these associations in pre- and postmenopausal women. A cross-sectional study was performed in 73,974 adult women who underwent a comprehensive health screening examination that included a mammogram between 2011 and 2013 (mean age 42.6 years). MetS was defined according to the modified National Cholesterol Education Program Adult Treatment Panel III. IR was assessed with the homeostasis model assessment-insulin resistance (HOMA-IR). Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for dense breast were estimated using logistic regression models after adjustment for potential confounders. In premenopausal women, MetS and all its components except waist circumference were associated with dense breast. After adjustment for potential confounders, the OR (95% CI) for dense breast in women with MetS compared with those without MetS was 1.22 (1.06-1.39). In postmenopausal women, however, there was positive but non-significant association between MetS and dense breast. In both pre- and postmenopausal women, high blood glucose and IR were positively associated with dense breast. The OR (95% CI) for dense breast between the highest and lowest quartiles of HOMA-IR was 1.29 (1.20-1.39) for premenopausal women and 1.44 (1.05-1.97) for postmenopausal women. In a large sample of Korean women, MetS and IR were associated with mammographic dense breast, demonstrating that IR, a potentially modifiable risk factor, may increase breast cancer risk, possibly through high mammographic density.
- Subjects :
- Adult
Biomarkers
Breast Density
Cross-Sectional Studies
Female
Humans
Middle Aged
Odds Ratio
Population Surveillance
Postmenopause
Premenopause
Republic of Korea epidemiology
Risk Factors
Breast Neoplasms epidemiology
Breast Neoplasms etiology
Insulin Resistance
Mammary Glands, Human abnormalities
Metabolic Syndrome complications
Metabolic Syndrome epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 1573-7217
- Volume :
- 153
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Breast cancer research and treatment
- Publication Type :
- Academic Journal
- Accession number :
- 26277917
- Full Text :
- https://doi.org/10.1007/s10549-015-3544-7