Literature DB >> 33619019

Lifestyle, Behavioral, and Dietary Risk Factors in Relation to Mammographic Breast Density in Women at High Risk for Breast Cancer.

Thomas P Ahern1,2, Brian L Sprague3,2,4, Nicholas H Farina2, Erin Tsai4, Melissa Cuke5, Despina Kontos6, Marie E Wood5.   

Abstract

BACKGROUND: Women at high risk for breast cancer due to genetics or risk factor profiles are counseled to adopt lifestyle, behavioral, and dietary changes to help reduce their risk. These recommendations are based on studies of women at average risk, so their effectiveness in high-risk women is unclear.
METHODS: We evaluated the impact of physical activity, smoking, alcohol consumption, and intake of folate and carotenoids on mammographic breast density-a proxy for breast cancer risk-among 387 high-risk women. Exposures were self-reported on questionnaires. Breast dense area, nondense area, and percent dense area were measured from screening mammograms with Library for Breast Radiodensity Assessment software. Cross-sectional associations were estimated with multivariable quantile regression models.
RESULTS: After adjusting for age, adiposity, reproductive history, and use of postmenopausal hormones, no breast density measure was associated with physical activity level, smoking status, alcohol consumption, or estimated intake of folate, alpha-carotene, beta-carotene, lutein/zeaxanthin, and beta-cryptoxanthin. Lycopene intake was associated with lower dense area when comparing the highest and lowest intake categories (adjusted difference in median = -14 cm2, 95% confidence interval: -29 to 1.3 cm2). This association may be explained by incomplete adjustment for adiposity.
CONCLUSIONS: Recommended lifestyle, behavioral, and dietary changes to mitigate personal risk of breast cancer do not substantially impact mammographic breast density measures. IMPACT: Alternative strategies, such as increased uptake of chemoprevention, may better serve risk reduction efforts in women at high risk for breast cancer. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 33619019      PMCID: PMC8102346          DOI: 10.1158/1055-9965.EPI-20-1567

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  44 in total

1.  NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2017.

Authors:  Mary B Daly; Robert Pilarski; Michael Berry; Saundra S Buys; Meagan Farmer; Susan Friedman; Judy E Garber; Noah D Kauff; Seema Khan; Catherine Klein; Wendy Kohlmann; Allison Kurian; Jennifer K Litton; Lisa Madlensky; Sofia D Merajver; Kenneth Offit; Tuya Pal; Gwen Reiser; Kristen Mahoney Shannon; Elizabeth Swisher; Shaveta Vinayak; Nicoleta C Voian; Jeffrey N Weitzel; Myra J Wick; Georgia L Wiesner; Mary Dwyer; Susan Darlow
Journal:  J Natl Compr Canc Netw       Date:  2017-01       Impact factor: 11.908

2.  Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis.

Authors:  Valerie A McCormack; Isabel dos Santos Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-06       Impact factor: 4.254

3.  Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.

Authors:  Brad M Keller; Diane L Nathan; Yan Wang; Yuanjie Zheng; James C Gee; Emily F Conant; Despina Kontos
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

4.  Serum osteoprotegerin levels and mammographic density among high-risk women.

Authors:  Olivia Moran; Tasnim Zaman; Andrea Eisen; Rochelle Demsky; Kristina Blackmore; Julia A Knight; Christine Elser; Ophira Ginsburg; Kevin Zbuk; Martin Yaffe; Steven A Narod; Leonardo Salmena; Joanne Kotsopoulos
Journal:  Cancer Causes Control       Date:  2018-04-20       Impact factor: 2.506

5.  Dietary and plasma lycopene and the risk of breast cancer.

Authors:  Howard D Sesso; Julie E Buring; Shumin M Zhang; Edward P Norkus; J Michael Gaziano
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-05       Impact factor: 4.254

6.  A breast cancer prediction model incorporating familial and personal risk factors.

Authors:  Jonathan Tyrer; Stephen W Duffy; Jack Cuzick
Journal:  Stat Med       Date:  2004-04-15       Impact factor: 2.373

7.  Diet, lifestyle and BRCA-related breast cancer risk among French-Canadians.

Authors:  A Nkondjock; A Robidoux; Y Paredes; S A Narod; P Ghadirian
Journal:  Breast Cancer Res Treat       Date:  2006-03-16       Impact factor: 4.872

8.  Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice: A Multicenter Observational Study.

Authors:  Brian L Sprague; Emily F Conant; Tracy Onega; Michael P Garcia; Elisabeth F Beaber; Sally D Herschorn; Constance D Lehman; Anna N A Tosteson; Ronilda Lacson; Mitchell D Schnall; Despina Kontos; Jennifer S Haas; Donald L Weaver; William E Barlow
Journal:  Ann Intern Med       Date:  2016-07-19       Impact factor: 25.391

9.  Comparative validation of the IPAQ and the 7-Day PAR among women diagnosed with breast cancer.

Authors:  Marilyn Johnson-Kozlow; James F Sallis; Elizabeth A Gilpin; Cheryl L Rock; John P Pierce
Journal:  Int J Behav Nutr Phys Act       Date:  2006-03-31       Impact factor: 6.457

10.  Background risk of breast cancer influences the association between alcohol consumption and mammographic density.

Authors:  T Trinh; S E Christensen; J S Brand; J Cuzick; K Czene; A Sjölander; K Bälter; P Hall
Journal:  Br J Cancer       Date:  2015-06-02       Impact factor: 7.640

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