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Cancer Causes & Control
Published in: Cancer Causes & Control 11/2013

01-11-2013 | Original Paper

Menstrual and reproductive characteristics and breast density in young women

Authors: Joanne F. Dorgan, Catherine Klifa, Snehal Deshmukh, Brian L. Egleston, John A. Shepherd, Peter O. Kwiterovich Jr., Linda Van Horn, Linda G. Snetselaar, Victor J. Stevens, Alan M. Robson, Norman L. Lasser, Nola M. Hylton

Published in: Cancer Causes & Control | Issue 11/2013

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Abstract

Purpose

Breast density is strongly related to breast cancer risk, but determinants of breast density in young women remain largely unknown.

Methods

Associations of reproductive and menstrual characteristics with breast density measured by magnetic resonance imaging were evaluated in a cross-sectional study of 176 healthy women, 25–29 years old, using linear mixed effects models.

Results

Parity was significantly inversely associated with breast density. In multivariable adjusted models that included non-reproductive variables, mean percent dense breast volume (%DBV) decreased from 20.5 % in nulliparous women to 16.0 % in parous women, while mean absolute dense breast volume (ADBV) decreased from 85.3 to 62.5 cm3. Breast density also was significantly inversely associated with the age women started using hormonal contraceptives, whereas it was significantly positively associated with duration of hormonal contraceptive use. In adjusted models, mean %DBV decreased from 21.7 % in women who started using hormones at 12–17 years of age to 14.7 % in those who started using hormones at 22–28 years of age, while mean ADBV decreased from 86.2 to 53.7 cm3. The age at which women started using hormonal contraceptives and duration of hormone use were inversely correlated, and mean %DBV increased from 15.8 % in women who used hormones for not more than 2.0 years to 22.0 % in women who used hormones for more than 8 years, while mean ADBV increased from 61.9 to 90.4 cm3 over this interval.

Conclusions

Breast density in young women is inversely associated with parity and the age women started using hormonal contraceptives but positively associated with duration of hormone use.
Footnotes
1
Children’s Hospital, New Orleans, LA; Johns Hopkins Hospital, Baltimore, MD, Kaiser Permanente Center for Health Research, Portland, OR; University of Medicine and Dentistry of New Jersey, Newark, NJ; Northwestern University Feinberg School of Medicine, Chicago, IL; University of Iowa Hospital and Clinics, Iowa City, IA; Maryland Medical Research Institute, Baltimore, MD.
 
Literature
1.
McCormack VA, dos Santos Silva I (2006) Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev 15:1159–1169PubMedCrossRef
2.
Shepherd JA, Kerlikowske K, Ma L et al (2011) Volume of mammographic density and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 20:1473–1482PubMedCrossRef
3.
Velie EM (2006) Lifetime reproductive and anthropometric risk factors for breast cancer in postmenopausal women. Breast Dis 26:1–19
4.
Novotny R, Daida Y, Morimoto Y, Shepherd J, Maskarinec G (2011) Puberty, body fat, and breast density in girls of several ethnic groups. Am J Hum Biol 23:359–365PubMedCrossRef
5.
Boyd N, Martin L, Chavez S et al (2009) Breast-tissue composition and other risk factors for breast cancer in young women: a cross-sectional study. Lancet Oncol 10:569–580PubMedCrossRef
6.
The Writing Group for the DISC Collaborative Research Group (1995) Efficacy and safety of lowering dietary intake of fat and cholesterol in children with elevated low-density lipoprotein cholesterol. The Dietary Intervention Study in Children (DISC). JAMA 273:1429–1435CrossRef
7.
Obarzanek E, Hunsberger S, Van Horn L et al (1997) Safety of a fat-reduced diet: the Dietary Intervention Study in Children (DISC). Pediatrics 100:51–59PubMedCrossRef
8.
Obarzanek E, Kimm S, Barton B et al (2001) Long-term safety and efficacy of a cholesterol-lowering diet in children with elevated low-density lipoprotein cholesterol: seven-year results of the Dietary Intervention Study in Children (DISC). Pediatrics 107:256–264PubMedCrossRef
9.
DISC Collaborative Research Group (1993) Dietary intervention study in children (DISC) with elevated low-density- lipoprotein cholesterol. Design and baseline characteristics. Ann Epidemiol 3:393–402CrossRef
10.
Dorgan JF, Hunsberger SA, McMahon RP et al (2003) Diet and sex hormones in girls: findings from a randomized controlled clinical trial. J Natl Cancer Inst 95:132–141PubMedCrossRef
11.
Dorgan JF, McMahon RP, Friedman LA et al (2006) Diet and sex hormones in boys: findings from the dietary intervention study in children. J Clin Endocrinol Metab 91:3992–3996PubMedCrossRef
12.
Dorgan JF, Liu L, Barton BA et al (2011) Adolescent diet and metabolic syndrome in young women: results of the Dietary Intervention Study in Children (DISC) follow-up study. J Clin Endocrinol Metab 96:E1999–2008
13.
Dorgan JF, Liu L, Klifa C et al (2010) Adolescent diet and subsequent serum hormones, breast density, and bone mineral density in young women: results of the Dietary Intervention Study in Children. Cancer Epidemiol Biomarkers Prev 19:1545–1556PubMedCrossRef
14.
Klifa C, Carballido-Gamio J, Wilmes L et al (2004) Quantitation of breast tissue index from MR data using fuzzy clustering. Conf Proc IEEE Eng Med Biol Soc 3:1667–1670PubMed
15.
Kuczmarski R, Ogden C, Guo S et al (2002) 2000 CDC growth charts for the United States: methods and development. National Center for Health Statistics. Vital Health Stat 11:1–190
16.
Maskarinec G, Morimoto Y, Daida Y et al (2011) Comparison of breast density measured by dual energy X-ray absorptiometry with mammographic density among adult women in Hawaii. Cancer Epidemiol 35:188–193PubMedCrossRef
17.
Park YW, Heymsfield S, Gallagher D (2002) Are dual-energy X-ray absorptiometry regional estimates associated with visceral adipose tissue? Int J Obes 26:978–983CrossRef
18.
Foster G, Wyatt H, Hill J et al (2010) Weight and metabolic outcomes after 2 years on a low-carbohydrate versus low-fat diet: a randomized trial. Ann Intern Med 153:147–157PubMedCrossRef
19.
Boyd NF, McGuire V, Fishell E, Kuriov V, Lockwood G, Tritchler D (1989) Plasma lipids in premenopausal women with mammographic dysplasia. Br J Cancer 59:766–771PubMedCrossRef
20.
Tamburrini A, Woolcott C, Boyd N et al (2011) Associations between mammographic density and serum and dietary cholesterol. Breast Cancer Res Treat 125:181–189PubMedCrossRef
21.
National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Pressure in Adults (2001) Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) expert panel on detection, evaluation and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 285:2486–2497CrossRef
22.
Klifa C, Carballido-Gamio J, Wilmes L et al (2010) Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort. Magn Reson Imaging 28:8–15PubMedCrossRef
23.
Lokate M, Kallenberg M, Karssemeijer N, Van den Bosch M, Peeters P, Van Gils C (2010) Volumetric breast density from full-field digital mammograms and its association with breast cancer risk factors: a comparison with a threshold method. Cancer Epidemiol Biomarkers Prev 19:3096–3105PubMedCrossRef
24.
Jeffreys M, Warren R, Gunnell D, McCarron P, Smith G (2004) Life course breast cancer risk factors and adult breast density (United Kingdom). Cancer Causes Control 15:947–955PubMed
25.
Modugno F, Ngo DL, Allen GO et al (2006) Breast cancer risk factors and mammographic breast density in women over age 70. Breast Cancer Res Treat 97:157–166PubMedCrossRef
26.
Woolcott CG, Koga K, Conroy SM, et al (2012) Mammographic density, parity and age at first birth, and risk of breast cancer: an analysis of four case–control studies. Breast Cancer Res Treat 132:1163–1171
27.
Haars G, van Noord PA, van Gils CH, Grobbee DE, Peeters PH (2005) Measurements of breast density: no ratio for a ratio. Cancer Epidemiol Biomarkers Prev 14:2634–2640PubMedCrossRef
28.
Heng D, Gao F, Jong R et al (2004) Risk factors for breast cancer associated with mammographic features in Singaporean Chinese women. Cancer Epidemiol Biomarkers Prev 13:1751–1758PubMed
29.
Loehberg CR, Heusinger K, Jud SM et al (2010) Assessment of mammographic density before and after first full-term pregnancy. Eur J Cancer Prev 19:405PubMedCrossRef
30.
Vachon C, Kuni C, Anderson K, Anderson V, Sellers T (2000) Association of mammographically defined percent breast density with epidemiologic risk factors for breast cancer (United States). Cancer Causes Control 11:653–662PubMedCrossRef
31.
Tehranifar P, Reynolds D, Flom J et al (2011) Reproductive and menstrual factors and mammographic density in African American, Caribbean, and white women. Cancer Causes Control 22:599–610PubMedCrossRef
32.
McCormack VA, Perry N, Vinnicombe SJ, dos Santos Silva I (2008) Ethnic variations in mammographic density: a British multiethnic longitudinal study. Am J Epidemiol 168:412–421PubMedCrossRef
33.
Pearce MS, Tennant PWG, Mann KD et al (2012) Lifecourse predictors of mammographic density: the Newcastle Thousand Families cohort Study. Breast Cancer Res Treat 131:187–195PubMedCrossRef
34.
Titus-Ernstoff L, Tosteson AN, Kasales C et al (2006) Breast cancer risk factors in relation to breast density (United States). Cancer Causes Control 17:1281–1290PubMedCrossRef
35.
El-Bastawissi AY, White E, Mandelson MT, Taplin SH (2000) Reproductive and hormonal factors associated with mammographic breast density by age (United States). Cancer Causes Control 11:955–963PubMedCrossRef
36.
Butler L, Gold E, Greendale G et al (2008) Menstrual and reproductive factors in relation to mammographic density: the Study of Women’s Health Across the Nation (SWAN). Cancer Res Treat 112:165–174CrossRef
37.
Lope V, Pérez-Gómez B, Moreno MP et al (2011) Childhood factors associated with mammographic density in adult women. Breast Cancer Res Treat 130:965–974PubMedCrossRef
38.
Johansson H, Gandini S, Bonanni B et al (2008) Relationships between circulating hormone levels, mammographic percent density and breast cancer risk factors in postmenopausal women. Breast Cancer Res Treat 108:57–67PubMedCrossRef
39.
Sung J, Song YM, Stone J, Lee K, Lee D (2011) Reproductive factors associated with mammographic density: a Korean co-twin control study. Breast Cancer Res Treat 128:567–572PubMedCrossRef
40.
Small CM, Manatunga AK, Marcus M (2007) Validity of self-reported menstrual cycle length. Ann Epidemiol 17:163–170PubMedCrossRef
41.
Jukic AMZ, Weinberg CR, Wilcox AJ, McConnaughey DR, Hornsby P, Baird DD (2008) Accuracy of reporting of menstrual cycle length. Am J Epidemiol 167:25–33PubMedCrossRef
Metadata
Title
Menstrual and reproductive characteristics and breast density in young women
Authors
Joanne F. Dorgan
Catherine Klifa
Snehal Deshmukh
Brian L. Egleston
John A. Shepherd
Peter O. Kwiterovich Jr.
Linda Van Horn
Linda G. Snetselaar
Victor J. Stevens
Alan M. Robson
Norman L. Lasser
Nola M. Hylton
Publication date
01-11-2013
Publisher
Springer Netherlands
Published in
Cancer Causes & Control / Issue 11/2013
Print ISSN: 0957-5243
Electronic ISSN: 1573-7225
DOI
https://doi.org/10.1007/s10552-013-0273-2

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