The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Socioeconomic Risk Factors for Breast Cancer: Distinguishing Individual- and Community-Level Effects
Abstract
BACKGROUND: Women are at higher risk of breast cancer if they have higher socioeconomic status (SES) or live in higher SES or urban communities. We examined whether women living in such communities remained at greater risk of breast cancer after controlling for individual education and other known individual-level risk factors. METHODS: Data were from a population-based, breast cancer case-control study conducted in Wisconsin from 1988 to 1995 (n = 14,667). Data on community SES and urbanicity come from the 1990 census, measured at the census tract and zip code levels. We evaluated relationships between individual- and community-level variables and breast cancer risk using multilevel logistic regression models with random community intercepts. RESULTS: After controlling for individual education and other individual-level risk factors (age, mammography use, family history of breast cancer, parity, age at first birth, alcohol intake, body mass index, hormone replacement use, oral contraceptive use, and menopausal status), women living in the highest SES communities had greater odds of having breast cancer than women living in the lowest SES communities (1.20; 95% confidence interval = 1.05-1.37). Similarly, the odds were greater for women in urban versus rural communities (1.17; 1.06-1.28). CONCLUSIONS: Community SES and urbanicity are apparently not simply proxies for individual SES. Future research should examine why living in such communities itself is associated with greater risk of breast cancer.
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
Epidemiology and Prevention of Breast Cancer
Kelsey, J. L., & Bernstein, L. (1996) · Annual Review of Public Health · doi:10.1146/annurev.pu.17.050196.000403 · Cited by 376
Cited by
Li, N., Du, X. L., Reitzel, L. R., Xu, L., & Sturgis, E. M. (2013) · Thyroid · doi:10.1089/thy.2012.0392 · Cited by 262
Yuan, H., Kehm, R. D., Daaboul, J. M., Lloyd, S. E., McDonald, J. A., Mu, L., Tehranifar, P., Zhang, K., Terry, M. B., & Yang, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-56634-w · Cited by 9
Metadata
- Authors
- Robert, S. A., Strombom, I., Trentham-Dietz, A., Hampton, J. M., McElroy, J. A., Newcomb, P. A., & Remington, P. L.
- Venue
- Epidemiology
- Published
- 2004-07
- Volume
- 15
- Issue
- 4
- Pages
- 442-450
- ISSN
- 1044-3983 (ISSN-L)
- OpenAlex
- W2076712225
- Cited by
- 269
- References
- 1
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- closed
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: Socioeconomic Risk Factors for Breast Cancer: Distinguishing Individual- and Community-Level Effects. https://app.cochat.ai/papers/10.1097/01.ede.0000129512.61698.03
- The paper
- Robert, S. A., Strombom, I., Trentham-Dietz, A., Hampton, J. M., McElroy, J. A., Newcomb, P. A., & Remington, P. L. (2004). Socioeconomic Risk Factors for Breast Cancer: Distinguishing Individual- and Community-Level Effects. Epidemiology. https://doi.org/10.1097/01.ede.0000129512.61698.03
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.