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6th International Workshop on Breast Densitometry and Breast ...

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6 th <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Workshop</str<strong>on</strong>g> <strong>on</strong> <strong>Breast</strong> <strong>Densitometry</strong><br />

<strong>and</strong> <strong>Breast</strong> Cancer Risk Assessment<br />

MULTIPLE METABOLIC RISK FACTORS AND MAMMOGRAPHIC BREAST<br />

DENSITY IN THE NEW YORK CITY MULTIETHNIC BREAST CANCER PROJECT<br />

Parisa Tehranifar, 1,2,3 Diane Reynolds, 4 Xiaozhou Fan, 1 Bernadette Boden-Albala, 5 Natalie Engmann, 1<br />

Julie D. Flom, 1 Mary Beth Terry 1,2<br />

1 Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY ;<br />

2 Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY ;<br />

3 The Center for the Study of Social Inequalities <strong>and</strong> Health, Columbia University Mailman School of<br />

Public Health, New York,, NY; 4 School of Nursing, L<strong>on</strong>g Isl<strong>and</strong> University, Brooklyn Campus, Brooklyn,<br />

NY; 5 Divisi<strong>on</strong> of Social Epidemiology, Department of Health Evidence <strong>and</strong> Policy, Department of<br />

Neurology, ICAHN School of Medicine at Mount Sinai, New York, NY<br />

Acknowledgement: We would like to thank the study participants for c<strong>on</strong>tributing data to this analysis <strong>and</strong><br />

the following research staff for assisting with data collecti<strong>on</strong> <strong>and</strong> recruitment activities: Diane Levy,<br />

Wendy Lewis, Gladys Rivera, Zoe Qu<strong>and</strong>t, Joy White, Jessica Cabildo <strong>and</strong> Renata Khanis. This research<br />

was funded by grants from the Nati<strong>on</strong>al Cancer Institute (grant numbers: U54 CA101598; K07<br />

CA151777), Susan B. Komen Foundati<strong>on</strong> Career Catalyst award (grant number KG110331) <strong>and</strong> the<br />

Nati<strong>on</strong>al Institute of Envir<strong>on</strong>mental Health Sciences Center Support (grant number ES009089).<br />

Background: Metabolic abnormalities have been individually associated with breast cancer risk. More<br />

recently, studies have also shown modest positive associati<strong>on</strong>s between the presence of multiple<br />

metabolic c<strong>on</strong>diti<strong>on</strong>s, as frequently defined by the metabolic syndrome (MetS), <strong>and</strong> breast cancer risk in<br />

postmenopausal women. Few studies have examined whether the presence of multiple metabolic risk<br />

factors are similarly associated with breast density, an intermediate marker of breast cancer risk. We<br />

examined whether obesity, diabetes, hypertensi<strong>on</strong>, <strong>and</strong> elevated cholesterol, individually <strong>and</strong> in<br />

combinati<strong>on</strong>, are associated with breast density.<br />

Methods: We digitized film mammograms <strong>and</strong> measured percent density <strong>and</strong> dense area using a<br />

computer-assisted method in a sample of 191 women, recruited from a single radiology facility during<br />

their screening mammography appointment (age range=40-61 years; 42% African American, 22% African<br />

Caribbean, 22% White, 11% Hispanic, 3% other ethnicities). We used in-pers<strong>on</strong> computer assisted<br />

interviews to collect detailed epidemiologic data at the time of recruitment. We used linear regressi<strong>on</strong><br />

models to examine the associati<strong>on</strong>s of each metabolic c<strong>on</strong>diti<strong>on</strong> <strong>and</strong> the number of co-occurring<br />

metabolic c<strong>on</strong>diti<strong>on</strong>s (0, 1, 2, <strong>and</strong> 3 or 4 c<strong>on</strong>diti<strong>on</strong>s) with percent density <strong>and</strong> dense breast area.<br />

ABSTRACTS<br />

Results: In age adjusted models of individual metabolic c<strong>on</strong>diti<strong>on</strong>s, hypertensi<strong>on</strong> <strong>and</strong> obese body mass<br />

index (≥30 kg/m 2 ) were inversely associated with percent density, <strong>and</strong> high blood cholesterol was<br />

inversely associated with dense area. The presence of multiple metabolic c<strong>on</strong>diti<strong>on</strong>s was associated with<br />

lower percent density <strong>and</strong> dense area in multivariable models (2 c<strong>on</strong>diti<strong>on</strong>s <strong>and</strong> 3 or 4 c<strong>on</strong>diti<strong>on</strong>s vs. 0<br />

c<strong>on</strong>diti<strong>on</strong>s were associated with 9.4% (95% CI:-13.2, -5.5) <strong>and</strong> 10.7% (95% CI:-15.2, -6.2) reducti<strong>on</strong> in<br />

percent density <strong>and</strong> with 5.5 cm 2 (95% CI: -10.8, -0.3) <strong>and</strong> 8.4 cm 2 (95% CI: -14.5, -2.4) smaller dense<br />

area).<br />

C<strong>on</strong>clusi<strong>on</strong>s: The presence of multiple metabolic c<strong>on</strong>diti<strong>on</strong>s was associated with lower levels of relative<br />

<strong>and</strong> absolute measures of breast density in a predominantly racial minority sample of women. The<br />

reducti<strong>on</strong> in breast density associated with multiple metabolic c<strong>on</strong>diti<strong>on</strong>s was greater than the influence of<br />

any single c<strong>on</strong>diti<strong>on</strong> <strong>on</strong> breast density. Our results suggest that the positive associati<strong>on</strong> between<br />

metabolic abnormalities <strong>and</strong> breast cancer may not involve pathways related to breast density, <strong>and</strong> may be<br />

str<strong>on</strong>ger after accounting for the influence of metabolic c<strong>on</strong>diti<strong>on</strong>s <strong>on</strong> breast density.<br />

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