Observational studyJAMA network open2021
Association of the Interaction Between Mammographic Breast Density, Body Mass Index, and Menopausal Status With Breast Cancer Risk Among Korean Women.
Observational study in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- The impact of mammographic breast density on locoregional recurrence in breast cancer: a systematic review and meta-analysis.Breast cancer research and treatment · 2025Pooled it
- Tumor Characteristics and Event Free Survival in Older and Younger Women with Early Breast Cancer.Current oncology (Toronto, Ont.) · 2026Article
- Longitudinal Mammographic Breast Density Changes and Associated Factors in Older Korean Women.Radiology. Imaging cancer · 2026Article
- Obesity and breast density enhance immune exclusion in the primary tumor microenvironment and promote breast cancer metastasis.Oncogene · 2026Article
- Modifiable and Nonmodifiable Risk Factors for Breast Cancer: A Comprehensive Scoping Review.International journal of breast cancer · 2026Review
- Longitudinal changes in mammographic density and reproductive hormones during the menopausal transition in middle-aged Korean women: effect modification by obesity.Breast cancer research : BCR · 2025Article
- Adapting the BOADICEA breast and ovarian cancer risk models for the ethnically diverse UK population.British journal of cancer · 2025Article
- Enhanced value of chest computed tomography radiomics features in breast density classification.Scientific reports · 2025Article
- Incorporating Continuous Mammographic Density Into the BOADICEA Breast Cancer Risk Prediction Model.JCO precision oncology · 2025Article
- Deep learning prediction of mammographic breast density using screening data.Scientific reports · 2025Article
- Comprehensive Analysis of Predictors and Outcomes in Breast Cancer Screening in Romania: Insights from Demographic, Clinical, and Lifestyle Factors.Journal of clinical medicine · 2025Article
- Mammographic features differ with body composition in women with breast cancer.European radiology · 2025Article
- Trajectories of breast density change over time and subsequent breast cancer risk: longitudinal study.BMJ (Clinical research ed.) · 2024Article
- Height and breast cancer risk in premenopausal Korean women aged under 40 years of age.British journal of cancer · 2024Article
- Association between Inflammatory Dietary Pattern and Mammographic Features.The Journal of nutrition · 2024Article
- Article
- The Usefulness of the Breast Density Assessment Application Used by Breast Radiologists.Cureus · 2024Article
- Association of area- and volumetric-mammographic density and breast cancer risk in women of Asian descent: a case control study.Breast cancer research : BCR · 2024Article
- Adiposity, Body Composition Measures, and Breast Cancer Risk in Korean Premenopausal Women.JAMA network open · 2024Article
- Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence.Frontiers in oncology · 2024Article
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4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Evidence suggests that breast density and body mass index (BMI) are strong breast cancer risk factors; however, their interactive associations are unknown. Elucidation of these interactive associations may help to increase understanding of the causes of breast cancer and find effective interventions for susceptible subgroups. Objective: To explore the association of the interaction of mammographic breast density and BMI with breast cancer risks among premenopausal and postmenopausal women. Design, Setting, and Participants: This prospective observational cohort study used population-based data of the Korean National Cancer Screening Program embedded in the National Health Insurance Service database to evaluate the breast cancer risk of 3 248 941 premenopausal cancer-free women and 4 373 473 postmenopausal cancer-free women aged 40 years or older who underwent mammographic screening between January 1, 2009, and December 31, 2013, and were followed up until December 31, 2018. Statistical analysis was performed from June 1 to July 15, 2021. Exposures: Breast Imaging Reporting and Data System (BI-RADS)-defined breast density (with a scale from 1 to 4, where 1 indicates almost entirely fat, 2 indicates scattered fibroglandular densities, 3 indicates heterogeneously dense tissue, and 4 indicates extremely dense tissue) and BMI levels classified according to the World Health Organization Asia-Pacific Region classification. Main Outcomes and Measures: Adjusted relative risk (aRR) of breast cancer during the follow-up period and interactions in additive and multiplicative scales. The study end point was the development of breast cancer. Results: Of 3 248 941 premenopausal women (mean [SD] age, 44.6 [4.3] years) and 4 373 473 postmenopausal women (mean [SD] age, 59.6 [8.4] years) aged 40 years or older, 34 466 cases of breast cancer were identified among the premenopausal women, and 30 816 cases of breast cancer were identified among the postmenopausal women. Increased breast density was associated with an increased risk of breast cancer in both premenopausal and postmenopausal women across the BMI categories. Among premenopausal women, those in BI-RADS category 4 had an approximately 2-fold higher risk of breast cancer irrespective of BMI (all women: aRR, 2.36 [95% CI, 2.24-2.49]; underweight: aRR, 1.80 [95% CI, 1.25-2.59]; normal weight: aRR, 2.10 [95% CI, 1.93-2.28]; overweight: aRR, 2.47 [95% CI, 2.27-2.68]; obese: aRR, 2.87 [95% CI, 2.49-3.32]) than those with underweight status and in BI-RADS category 1. However, an association between BMI and the risk of breast cancer was found only in the postmenopausal women in all breast density categories compared with underweight women with BI-RADS category 1 (BI-RADS category 4, all women: aRR, 2.91 [95% CI, 2.78-3.04]; underweight: aRR, 2.74 [95% CI, 1.89-3.98]; normal weight: aRR, 3.05 [95% CI, 2.82-3.30]; overweight: aRR, 2.85 [95% CI, 2.67-3.04]; obese: aRR, 2.52 [95% CI, 2.22-2.88]). When the combined associations of breast density and BMI with the risk of breast cancer were considered, a high breast density and high BMI had a significant positive interaction on the additive scale for both premenopausal and postmenopausal women, especially the latter (premenopausal women: adjusted relative excess risk due to interaction, 0.53 [95% CI, 0.35-0.71]; postmenopausal women: adjusted relative excess risk due to interaction, 1.68 [95% CI, 1.26-2.10]). Conclusions and Relevance: This study suggests that breast density and BMI interact synergistically to augment breast cancer risk, with a stronger association found among postmenopausal women. Both factors should be incorporated into risk stratification in a population-based screening for public health significance. Women with overweight or obesity and dense breast tissue might benefit from tailored early screening strategies to detect breast cancer.
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