Evidence map›Paper›PMID 39549160›Full record

ArticleBreast cancer research and treatment2025

Factors associated with breast cancer detection method in California women: an analysis of California Health Interview Survey data.

Alice W Lee, Claudia Solis, Steph Tubman, Nicole Wells

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Article in Breast cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Alice W LeeDepartment of Public Health, California State University, Fullerton, 800 N. State College Blvd, KHS-127, Fullerton, CA, 92831, USA. alicelee@fullerton.edu.ORCID http://orcid.org/0000-0001-8756-7066
Claudia SolisDepartment of Public Health, California State University, Fullerton, 800 N. State College Blvd, KHS-127, Fullerton, CA, 92831, USA.
Steph TubmanThe Young Breast Cancer Project, Chula Vista, CA, USA.
Nicole WellsThe Young Breast Cancer Project, Chula Vista, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer mortality has significantly declined in the U.S. due in part to effective clinical screening methods. However, previous studies have found many women first detect their breast cancers through means other than their providers. Given that detection method has been shown to be an important prognostic factor, we examined the association between breast cancer detection method and various demographic and health-related factors in a representative sample of female breast cancer patients aged 40 + in California.

methodsWe analyzed data from the 2009 and 2011-2012 California Health Interview Survey. Weighted percentages of breast cancer patients by detection method were calculated. A multivariable logistic regression model was used to quantify each factor's association with the likelihood of having a patient-detected versus clinically detected breast cancer using odds ratios (ORs) and 95% confidence intervals (CIs).

results36% of female breast cancer patients first detected their cancer themselves. Compared to U.S.-born women, those who had spent 40% or less of their lifetime in the U.S. were more than twice as likely to report their breast cancer being patient-detected versus clinically detected (OR = 2.27, 95% CI 1.06-4.86, p = 0.035). Rural women were also more likely to report a patient-detected breast cancer than urban women (OR = 1.51, 95% CI 1.01-2.11, p = 0.044).

conclusionsRecent immigrants and those residing in rural areas were more likely to report self-detecting their breast cancer. Given the persistent disparities with regard to breast cancer mortality, particularly among underserved communities, strategies addressing barriers to screening uptake in these populations may be warranted.

Indexed as

Breast NeoplasmsEarly Detection of CancerAdultAgedCaliforniaFemaleHealth SurveysHumansMiddle AgedOdds RatioBreast cancerDetection methodScreeningSelf-detection

Identifiers

PMID39549160

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