Adolescent caffeine consumption and mammographic breast density in premenopausal women.

Adolescent Adult Breast Density / physiology Caffeine / administration & dosage Cohort Studies Diet / methods Female Humans Mammography Middle Aged Premenopause Risk Factors Surveys and Questionnaires
Adolescent diet Breast cancer Breast density Caffeine intake

Journal

European journal of nutrition
ISSN: 1436-6215
Titre abrégé: Eur J Nutr
Pays: Germany
ID NLM: 100888704

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 19 12 2018
accepted: 28 05 2019
pubmed: 4 6 2019
medline: 27 3 2021
entrez: 2 6 2019
Statut: ppublish

Résumé

Previous studies suggest that coffee and caffeine intake may be associated with reduced breast cancer risk. To date, there is limited and inconsistent epidemiologic evidence for associations of adolescent diet with mammographic breast density, a strong and consistent predictor of breast cancer. We investigated the association of adolescent caffeine intake with mammographic density in premenopausal women. This study included 751 cancer-free women within the Nurses' Health Study II cohort. Percent breast density (PD), absolute dense (DA) and non-dense areas (NDA) were measured from digitized film mammograms using a computer-assisted thresholding technique; all measures were square root-transformed. Energy-adjusted adolescent caffeine intake was estimated using the data from a food frequency questionnaire. Information regarding breast cancer risk factors was obtained from questionnaires closest to the mammogram date. We used generalized linear regression to quantify associations of caffeine intake with breast density measures. In multivariable analyses, adolescent caffeine intake was not associated with any of the density phenotypes (caffeine 4th vs. 1st quartile: β = - 1.27, 95% CI - 4.62; 2.09, p-trend = 0.55 for percent density; β = - 0.21, 95% CI - 0.76, 0.34, p-trend = 0.65 for absolute dense area, and β = 0.23, 95% CI - 0.28, 0.74, p-trend = 0.50 for non-dense area). Additional adjustment of the models for body mass index at age 18 resulted in attenuation of the risk estimates. Our findings do not support the hypothesis that adolescent caffeine intake is associated with premenopausal mammographic breast density.

Identifiants

DOI: 10.1007/s00394-019-02018-0 PMID: 31152213 PMC: PMC6885099
pubmed: 31152213
doi: 10.1007/s00394-019-02018-0
pii: 10.1007/s00394-019-02018-0
pmc: PMC6885099
mid: NIHMS1054432
doi:

Substances chimiques

Caffeine 3G6A5W338E

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1633-1639

Subventions

Organisme : NIH HHS
ID : CA175080
Pays : United States
Organisme : NIH HHS
ID : CA131332
Pays : United States
Organisme : NIH HHS
ID : P01 CA087969
Pays : United States
Organisme : NCI NIH HHS
ID : P01 CA087969
Pays : United States
Organisme : NCI NIH HHS
ID : UM1 CA176726
Pays : United States
Organisme : NIH HHS
ID : UM1 CA186107
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA176726
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA175080
Pays : United States
Organisme : NCI NIH HHS
ID : UM1 CA186107
Pays : United States
Organisme : Susan G. Komen for the Cure
ID : NA
Organisme : NIH HHS
ID : UM1 CA176726
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA131332
Pays : United States
Organisme : NIH HHS
ID : CA131332
Pays : United States
Organisme : NIH HHS
ID : CA175080
Pays : United States
Organisme : NIH HHS
ID : UM1 CA186107
Pays : United States
Organisme : NIH HHS
ID : P01 CA087969
Pays : United States
Organisme : NIH HHS
ID : UM1 CA176726
Pays : United States
Organisme : Avon Foundation for Women
ID : NA
Organisme : Breast Cancer Research Foundation
ID : NA

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Auteurs

Lusine Yaghjyan (L)

Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA. lyaghjyan@ufl.edu.
ORCID: 0000-0002-1626-5340

Graham Colditz (G)

Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Institute for Public Health, Washington University in St. Louis, St. Louis, MO, USA.

Bernard Rosner (B)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Shannan Rich (S)

Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.

Kathleen Egan (K)

Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.

Rulla M Tamimi (RM)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

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