Determinants of Mammographic Breast Density by Race Among a Large Screening Population.


Journal

JNCI cancer spectrum
ISSN: 2515-5091
Titre abrégé: JNCI Cancer Spectr
Pays: England
ID NLM: 101721827

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 09 09 2019
revised: 14 01 2020
accepted: 18 02 2020
entrez: 7 5 2020
pubmed: 7 5 2020
medline: 7 5 2020
Statut: epublish

Résumé

Because of the mixed reports from smaller studies, we examined associations of race with mammographic breast density and evaluated racial differences in the determinants of breast density. Participants included 37 839 women (23 166 non-Hispanic white and 14 673 African American) receiving screening mammograms at the Joanne Knight Breast Health Center at Washington University School of Medicine from June 2010 to December 2015. Mammographic breast density was assessed using the Breast Imaging Reporting and Data System (5th edition). To determine the association of race and participant characteristics with mammographic breast density, we used multivariable polytomous logistic regression models (reference group: almost entirely fatty). African American women had increased odds of extremely dense (adjusted odds ratio = 1.31, 95% confidence interval = 1.13 to 1.52) and reduced odds of heterogeneously dense breasts (adjusted odds ratio = 0.91, 95% confidence interval = 0.84 to 0.99) compared with non-Hispanic white women. Altogether, race, parity and age at first birth, current age, current body mass index (BMI), BMI at age 18 years, menarche, family history of breast cancer, oral contraceptive use, alcohol use, and menopausal status explained 33% of the variation in mammographic breast density. Among African American and non-Hispanic white women, these factors explained nearly 28.6% and 33.6% of the variation in mammographic density, respectively. Current BMI provided the greatest explanation of breast density (26.2% overall, 22.2% in African American, and 26.2% in non-Hispanic white women). The determinants of mammographic breast density were generally similar between African American women and non-Hispanic white women. After adjustments for confounders, African Americans had higher likelihood of extremely dense breasts but lower likelihood of heterogeneously dense breasts. The greatest explanation of breast density was provided by BMI, regardless of race.

Sections du résumé

BACKGROUND BACKGROUND
Because of the mixed reports from smaller studies, we examined associations of race with mammographic breast density and evaluated racial differences in the determinants of breast density.
METHODS METHODS
Participants included 37 839 women (23 166 non-Hispanic white and 14 673 African American) receiving screening mammograms at the Joanne Knight Breast Health Center at Washington University School of Medicine from June 2010 to December 2015. Mammographic breast density was assessed using the Breast Imaging Reporting and Data System (5th edition). To determine the association of race and participant characteristics with mammographic breast density, we used multivariable polytomous logistic regression models (reference group: almost entirely fatty).
RESULTS RESULTS
African American women had increased odds of extremely dense (adjusted odds ratio = 1.31, 95% confidence interval = 1.13 to 1.52) and reduced odds of heterogeneously dense breasts (adjusted odds ratio = 0.91, 95% confidence interval = 0.84 to 0.99) compared with non-Hispanic white women. Altogether, race, parity and age at first birth, current age, current body mass index (BMI), BMI at age 18 years, menarche, family history of breast cancer, oral contraceptive use, alcohol use, and menopausal status explained 33% of the variation in mammographic breast density. Among African American and non-Hispanic white women, these factors explained nearly 28.6% and 33.6% of the variation in mammographic density, respectively. Current BMI provided the greatest explanation of breast density (26.2% overall, 22.2% in African American, and 26.2% in non-Hispanic white women).
CONCLUSIONS CONCLUSIONS
The determinants of mammographic breast density were generally similar between African American women and non-Hispanic white women. After adjustments for confounders, African Americans had higher likelihood of extremely dense breasts but lower likelihood of heterogeneously dense breasts. The greatest explanation of breast density was provided by BMI, regardless of race.

Identifiants

pubmed: 32373777
doi: 10.1093/jncics/pkaa010
pii: pkaa010
pmc: PMC7192029
doi:

Types de publication

Journal Article

Langues

eng

Pagination

pkaa010

Subventions

Organisme : NCI NIH HHS
ID : T32 CA190194
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA216515
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA091842
Pays : United States
Organisme : NCI NIH HHS
ID : R37 CA235602
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA246592
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press.

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Auteurs

Justin X Moore (JX)

Division of Public Health Sciences, Department of Surgery, and Siteman Cancer Center at Washington University School of Medicine, St. Louis, MO, USA.
Division of Epidemiology, Department of Population Health Sciences, Augusta University, Augusta, GA, USA.
Institute of Public and Preventive Health, Augusta University, Augusta, GA, USA.

Yunan Han (Y)

Division of Public Health Sciences, Department of Surgery, and Siteman Cancer Center at Washington University School of Medicine, St. Louis, MO, USA.
Department of Breast Surgery, First Hospital of China Medical University, Shenyang, Liaoning Province, 110001, China.

Catherine Appleton (C)

Breast Imaging Division, Mallinckrodt Institute of Radiology, Washington University in Saint Louis School of Medicine, St. Louis, MO, USA.

Graham Colditz (G)

Division of Public Health Sciences, Department of Surgery, and Siteman Cancer Center at Washington University School of Medicine, St. Louis, MO, USA.

Adetunji T Toriola (AT)

Division of Public Health Sciences, Department of Surgery, and Siteman Cancer Center at Washington University School of Medicine, St. Louis, MO, USA.

Classifications MeSH