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Cited by 427

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Demographic predictors of mammography and Pap smear screening in US women.

Calle, E E, Flanders, W D, Thun, M J, Martin, L M·1993·American Journal of Public Health

Abstract

OBJECTIVES. Proven screening technologies exist for both breast and cervical cancer, but they are underused by many women. We sought to evaluate the effect of demographic characteristics on the underuse of mammography and Pap smear screening. METHODS. We analyzed responses from 12,252 women who participated in the 1987 National Health Interview Survey Cancer Control Supplement. Demographic profiles were produced to target severely underserved groups of women. RESULTS. Low income was a strong predictor of mammography underuse, as was Hispanic ethnicity and other race, low educational attainment, age greater than 65, and residence in a rural area. A strong predictor of never having had a Pap smear was never having been married; however, the importance of this characteristic is difficult to interpret in the absence of data on sexual activity. Hispanic women and women of other races of all ages and all income levels underused Pap smear screening, as did older women, particularly older Black women. CONCLUSIONS. The tendency of women to underuse screening technologies varies greatly across levels of basic demographic characteristics. The importance of these characteristics differs for mammography screening versus Pap smear screening.

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Metadata

Authors
Calle, E. E., Flanders, W. D., Thun, M. J., & Martin, L. M.
Venue
American Journal of Public Health
Published
1993-01
Volume
83
Issue
1
Pages
53-60
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2045368406
Cited by
427
References
0
FWCI
8.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Demographic predictors of mammography and Pap smear screening in US women. https://app.cochat.ai/papers/10.2105/ajph.83.1.53
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Calle, E. E., Flanders, W. D., Thun, M. J., & Martin, L. M. (1993). Demographic predictors of mammography and Pap smear screening in US women. American Journal of Public Health. https://doi.org/10.2105/ajph.83.1.53

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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.