The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Association of Body Mass Index and Age With Subsequent Breast Cancer Risk in Premenopausal Women
Open accessAbstract
Importance: The association between increasing body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) and risk of breast cancer is unique in cancer epidemiology in that a crossover effect exists, with risk reduction before and risk increase after menopause. The inverse association with premenopausal breast cancer risk is poorly characterized but might be important in the understanding of breast cancer causation. Objective: To investigate the association of BMI with premenopausal breast cancer risk, in particular by age at BMI, attained age, risk factors for breast cancer, and tumor characteristics. Design, Setting, and Participants: This multicenter analysis used pooled individual-level data from 758 592 premenopausal women from 19 prospective cohorts to estimate hazard ratios (HRs) of premenopausal breast cancer in association with BMI from ages 18 through 54 years using Cox proportional hazards regression analysis. Median follow-up was 9.3 years (interquartile range, 4.9-13.5 years) per participant, with 13 082 incident cases of breast cancer. Participants were recruited from January 1, 1963, through December 31, 2013, and data were analyzed from September 1, 2013, through December 31, 2017. Exposures: Body mass index at ages 18 to 24, 25 to 34, 35 to 44, and 45 to 54 years. Main Outcomes and Measures: Invasive or in situ premenopausal breast cancer. Results: Among the 758 592 premenopausal women (median age, 40.6 years; interquartile range, 35.2-45.5 years) included in the analysis, inverse linear associations of BMI with breast cancer risk were found that were stronger for BMI at ages 18 to 24 years (HR per 5 kg/m2 [5.0-U] difference, 0.77; 95% CI, 0.73-0.80) than for BMI at ages 45 to 54 years (HR per 5.0-U difference, 0.88; 95% CI, 0.86-0.91). The inverse associations were observed even among nonoverweight women. There was a 4.2-fold risk gradient between the highest and lowest BMI categories (BMI≥35.0 vs <17.0) at ages 18 to 24 years (HR, 0.24; 95% CI, 0.14-0.40). Hazard ratios did not appreciably vary by attained age or between strata of other breast cancer risk factors. Associations were stronger for estrogen receptor-positive and/or progesterone receptor-positive than for hormone receptor-negative breast cancer for BMI at every age group (eg, for BMI at age 18 to 24 years: HR per 5.0-U difference for estrogen receptor-positive and progesterone receptor-positive tumors, 0.76 [95% CI, 0.70-0.81] vs hormone receptor-negative tumors, 0.85 [95% CI: 0.76-0.95]); BMI at ages 25 to 54 years was not consistently associated with triple-negative or hormone receptor-negative breast cancer overall. Conclusions and Relevance: The results of this study suggest that increased adiposity is associated with a reduced risk of premenopausal breast cancer at a greater magnitude than previously shown and across the entire distribution of BMI. The strongest associations of risk were observed for BMI in early adulthood. Understanding the biological mechanisms underlying these associations could have important preventive potential.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
(2004) · The Lancet · doi:10.1016/s0140-6736(03)15268-3 · Cited by 12,717
Harrell, F. E. (2001) · Springer Series in Statistics · doi:10.1007/978-1-4757-3462-1 · Cited by 9,195
Health effects of overweight and obesity in 195 countries over 25 years
Collaborators, T. G. 2. O. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1614362 · Cited by 7,918
Renehan, A. G., Tyson, M., Egger, M., Heller, R. F., & Zwahlen, M. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60269-x · Cited by 5,219
(2006) · Cancer · doi:10.1002/(issn)1097-0142 · Cited by 1,470
Higgins (2002) · doi:10.1002/(issn)1097-0258 · Cited by 1,248
Global cancer in women: burden and trends.
Torre, L. A., Islami, F., Siegel, R. L., Ward, E. M., & Jemal, A. (2017) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-16-0858 · Cited by 1,245
Cited by
Siegel, R. L., Giaquinto, A. N., & Jemal, A. (2024) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21820 · Cited by 9,533
Global burden and trends in premenopausal and postmenopausal breast cancer: a population-based study
Heer, E., Harper, A., Escandor, N., Sung, H., McCormack, V., & Fidler-Benaoudia, M. M. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30215-1 · Cited by 888
Obesity and Cancer: A Current Overview of Epidemiology, Pathogenesis, Outcomes, and Management
Pati, S., Irfan, W., Jameel, A., Ahmed, S., & Shahid, R. K. (2023) · Cancers · doi:10.3390/cancers15020485 · Cited by 677
Can the impact of childhood adiposity on disease risk be reversed? A Mendelian randomization study.
Richardson, T. G., Sanderson, E., Elsworth, B., Tilling, K., & Davey Smith, G. (2019) · doi:10.1101/19008011 · Cited by 321
Alanzi, T. M., Alzahrani, W., Albalawi, N. S., Allahyani, T., Alghamdi, A., Al-Zahrani, ., Almutairi, ., Alzahrani, H., Almulhem, L., Alanzi, N., et al. (2023) · Cureus · doi:10.7759/cureus.50781 · Cited by 4
Metadata
- Authors
- The Premenopausal Breast Cancer Collaborative Group, Schoemaker, M. J., Nichols, H. B., Wright, L. B., Brook, M. N., Jones, M. E., O’Brien, K. M., Adami, H.-O., Baglietto, L., Bernstein, L., Bertrand, K. A., Boutron-Ruault, M.-C., Braaten, T., Chen, Y., Connor, A. E., Dorronsoro, M., Dossus, L., Eliassen, A. H., Giles, G. G., Hankinson, S. E., Kaaks, R., Key, T. J., Kirsh, V. A., Kitahara, C. M., Koh, W.-P., Larsson, S. C., Linet, M. S., Ma, H., Masala, G., Merritt, M. A., Milne, R. L., Overvad, K., Ozasa, K., Palmer, J. R., Peeters, P. H., Riboli, E., Rohan, T. E., Sadakane, A., Sund, M., Tamimi, R. M., Trichopoulou, A., Ursin, G., Vatten, L., Visvanathan, K., Weiderpass, E., Willett, W. C., Wolk, A., Yuan, J.-M., Zeleniuch-Jacquotte, A., Sandler, D. P., & Swerdlow, A. J.
- Venue
- JAMA Oncology
- Publisher
- American Medical Association (AMA)
- Published
- 2018-11-08
- Volume
- 4
- Issue
- 11
- Pages
- e181771
- ISSN
- 2374-2437 (ISSN-L)
- OpenAlex
- W2809263049
- Cited by
- 357
- References
- 57
- FWCI
- 12.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Association of Body Mass Index and Age With Subsequent Breast Cancer Risk in Premenopausal Women. https://app.cochat.ai/papers/10.1001/jamaoncol.2018.1771
- The paper
- The Premenopausal Breast Cancer Collaborative Group, Schoemaker, M. J., Nichols, H. B., Wright, L. B., Brook, M. N., Jones, M. E., O’Brien, K. M., Adami, H.-O., Baglietto, L., Bernstein, L., Bertrand, K. A., Boutron-Ruault, M.-C., Braaten, T., Chen, Y., Connor, A. E., Dorronsoro, M., Dossus, L., Eliassen, A. H., Giles, G. G., . . . Swerdlow, A. J. (2018). Association of Body Mass Index and Age With Subsequent Breast Cancer Risk in Premenopausal Women. JAMA Oncology. https://doi.org/10.1001/jamaoncol.2018.1771
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.