References
- Ahlgren M, Melbye M, Wohlfahrt J, Sorensen T. Growth patterns and the risk of breast cancer in women. N Engl J Med. 2004;351(16):1619–26. doi:https://doi.org/10.1056/NEJMoa040576
- Terry MB. Consistency, now what? Breast Cancer Res. 2017;19(1):85. doi:https://doi.org/10.1186/s13058-017-0869-7
- McCormack VA, dos Santos Silva I. Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomark Prev. 2006;15(6):1159–69. doi:https://doi.org/10.1158/1055-9965.EPI-06-0034
- Boyd NF, Guo H, Martin LJ, Sun L, Stone J, Fishell E, Jong RA, Hislop G, Chiarelli A, Minkin S, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med. 2007;356(3):227–36. doi:https://doi.org/10.1056/NEJMoa062790
- Boyd NF, Lockwood GA, Byng JW, Little LE, Yaffe MJ, Tritchler DL. The relationship of anthropometric measures to radiological features of the breast in premenopausal women. Br J Cancer. 1998;78(9):1233–8. doi:https://doi.org/10.1038/bjc.1998.660
- Poon CS, Bronskill MJ, Henkelman M, Boyd NF. Quantitative magnetic resonance imaging parameters and their relationship to mammographic pattern. J Natl Cancer Inst. 1992;84(10):777–80. doi:https://doi.org/10.1093/jnci/84.10.777
- Graham SJ, Bronskill MJ, Byng JW, Yaffe MJ, Boyd NF. Quantitative correlation of breast tissue parameters using magnetic resonance and X-ray mammography. Br J Cancer. 1996;73(2):162–8. doi:https://doi.org/10.1038/bjc.1996.30
- Boyd N, Martin L, Chavez S, Gunasekara A, Salleh A, Melnichouk O, Yaffe M, Friedenreich C, Minkin S, Bronskill M, et al. Breast-tissue composition and other risk factors for breast cancer in young women: a cross-sectional study. Lancet Oncol. 2009;10(6):569–80. doi:https://doi.org/10.1016/S1470-2045(09)70078-6
- Slaughter MH, Lohman TG, Boileau RA, Horswill CA, Stillman RJ, Van Loan MD, Bemben DA. Skinfold equations for estimation of body fatness in children and youth. Hum Biol. 1988;60(5):709–23.
- Wong WW, Stuff JE, Butte NF, Smith EO, Ellis KJ. Estimating body fat in African American and white adolescent girls: a comparison of skinfold-thickness equations with a 4-compartment criterion model. Am J Clin Nutr. 2000;72(2):348–54. doi:https://doi.org/10.1093/ajcn/72.2.348
- Csizmadi I, Kahle L, Ullman R, Dawe U, Zimmerman TP, Friedenreich CM, Bryant H, Subar AF. Adaptation and evaluation of the National Cancer Institute’s Diet History Questionnaire and nutrient database for Canadian populations. Public Health Nutr. 2007;10(1):88–96. doi:https://doi.org/10.1017/S1368980007184287
- Chavez S, Stanisz G. Comparing average breast fat content results from two different protocols at 1.5T and 3T: can the data be pooled? J Magn Reson Imaging. 2014;40(4):890–8.[InsertedFromOnline
- Hennessey S, Huszti E, Gunasekura A, Salleh A, Martin L, Minkin S, Chavez S, Boyd NF. Bilateral symmetry of breast tissue composition by magnetic resonance in young women and adults. Cancer Causes Control. 2014;25(4):491–7. doi:https://doi.org/10.1007/s10552-014-0351-0
- Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004;27(6):1487–95. doi:https://doi.org/10.2337/diacare.27.6.1487
- Ghalandari H, Kamalpour M, Alimadadi A, Nasrollahzadeh J. Comparison of two calorie-reduced diets of different carbohydrate and fiber contents and a simple dietary advice aimed to modify carbohydrate intake on glycemic control and inflammatory markers in Type 2 diabetes: A randomized trial. Int J Endocrinol Metab. 2017;16(1):e12089. doi:https://doi.org/10.5812/ijem.12089
- Shu X, Wu L, Khankari N, et al. Association of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis. Int J Epidemiol. 2019;48(3):795–806.
- Linton L, Taylor M, Saha S, Zhu J, Chavez S, Stanisz GP, Martin L, Dunn S, Minkin S, Boyd N. Body size, breast tissue composition, and circulating hormones and growth factors, at age 15-18: a cross-sectional study. Submitted for publication.
- Borgquist S, Rosendahl AH, Czene K, Bhoo-Pathy N, Dorkhan M, Hall P, Brand JS. Long-term exposure to insulin and volumetric mammographic density: observational and genetic associations in the Karma study. Breast Cancer Res. 2018;20(1):93. doi:https://doi.org/10.1186/s13058-018-1026-7
- Farvid MS, Eliassen HA, Cho E, Liao X, Chen WY, Willett WC. Dietary fiber intake in young adults and breast cancer risk. Pediatrics. 2016;137(3):1226. doi:https://doi.org/10.1542/peds.2015-1226
- Yaghjyan L, Ghita GL, Rosner B, Farvid M, Bertrand KA, Tamimi RM. Adolescent fiber intake and mammographic breast density in premenopausal women. Breast Cancer Res. 2016;18(1):85. doi:https://doi.org/10.1186/s13058-016-0747-8
- Bertrand KA, Burian RA, Eliassen AH, Willett WC, Tamimi RM. Adolescent intake of animal fat and red meat in relation to premenopausal mammographic density. Breast Cancer Res Treat. 2016;155(2):385–93. doi:https://doi.org/10.1007/s10549-016-3679-1
- Jung S, Goloubeva O, Hylton N, Klifa C, LeBlanc E, Shepherd J, Snetselaar L, Van Horn L, Dorgan JF. Intake of dietary carbohydrates in early adulthood and adolescence and breast density among young women. Cancer Causes Control. 2018;29(7):631–42. doi:https://doi.org/10.1007/s10552-018-1040-1
- Sellers T, Vachon C, Pankratz V, Janney C, Fredericksen Z, Brandt K, Huang Y, Couch F, Kushi L, Cerhan J, et al. Association of childhood and adolescent anthropometric factors, physical activity, and diet with adult mammographic breast density. Am J Epidemiol. 2007;166(4):456–64. doi:https://doi.org/10.1093/aje/kwm112
- Vachon CM, Kuni CC, Anderson K, Anderson VE, Sellers TA. Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States). Cancer Causes Control. 2000;11(7):653–62.
- Byrne C, Schairer C, Wolfe J, Parekh N, Salane M, Brinton LA, Hoover R, Haile R. Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst. 1995;87(21):1622–9. doi:https://doi.org/10.1093/jnci/87.21.1622