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Cited by 304

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Breast and Cervical Cancer Screening: Sociodemographic Predictors Among White, Black, and Hispanic Women

Open access
Selvin, Elizabeth, Brett, Kate M.·2003·American Journal of Public Health

Abstract

Objectives. We evaluated the relationship between breast and cervical cancer screening and a variety of variables across race/ethnicity groups. Methods. Using logistic regression models, we analyzed data from the 1998 National Health Interview Survey to assess the relative importance of the independent variables in predicting use of cancer screening services. Results. Having a usual source of care was the most important predictor of cancer screening use for all race/ethnicity groups. Health insurance was associated with an increased likelihood of cancer screening. Smoking was associated with a decreased likelihood of cancer screening. Conclusions. Regardless of race/ethnicity, most women follow mammography and cervical cancer screening guidelines. The identification of specific factors associated with adherence to cancer screening guidelines may help inform screening campaigns.

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Registry

Crossref · 10.2105/ajph.93.4.618

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Metadata

Authors
Selvin, E., & Brett, K. M.
Venue
American Journal of Public Health
Published
2003-04
Volume
93
Issue
4
Pages
618-623
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2138545922
Cited by
304
References
26
FWCI
8.17
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Breast and Cervical Cancer Screening: Sociodemographic Predictors Among White, Black, and Hispanic Women. https://app.cochat.ai/papers/10.2105/ajph.93.4.618
The paper
Selvin, E., & Brett, K. M. (2003). Breast and Cervical Cancer Screening: Sociodemographic Predictors Among White, Black, and Hispanic Women. American Journal of Public Health. https://doi.org/10.2105/ajph.93.4.618

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.