Historical redlining and breast cancer screening in a regional spatial analysis

Clicks: 13
ID: 332109
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #65 of 74 articles by views in jnci cancer spectrum

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Background Redlining, introduced in 1933 by the Homeowners’ Loan Corporation, created enduring structural inequities in housing, health care access, and neighborhood investment. These historical patterns may contribute to persistent disparities in breast cancer screening. This study examines how historical redlining, alongside contemporary socioeconomic factors, shapes screening disparities across the University of Kansas Cancer Center (KUCC) catchment area. Methods We conducted a census tract–level spatial analysis across 123 counties (Kansas and western Missouri) by linking CDC PLACES breast cancer screening data with historical redlining maps. Explanatory variables included rurality, mammography facility availability, income inequality, gender pay gap, and uninsured rates. Logistic regression assessed overall associations, while geographically weighted binomial logistic regression evaluated spatial heterogeneity. Results Screening rates ranged from 56.9% to 84.5% across census tracts. Redlining was associated with lower screening odds in unadjusted models but was attenuated after accounting for socioeconomic and geographic factors. Rurality and income inequality were consistently associated with lower screening, whereas greater mammography facility availability was associated with higher screening rates. Spatial analyses revealed meaningful geographic variation, with localized negative associations of redlining and persistent, spatially varying effects of socioeconomic factors. Conclusion Breast cancer screening disparities in this region reflect the combined influence of historical structural inequities and current socioeconomic conditions. Expanding access to mammography and implementing spatially targeted, equity-focused interventions may improve screening uptake and reduce disparities in underserved communities.
Reference Key
openalex_W7221434010 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Derrick Asante, Atikur Rahman, Isuru Ratnayake, Sam Pepper, Ananda Jayawardhana, Leah Lambart, Susan Beckman, Hope Krebill, Ronald Chen, Dinesh Pal Mudaranthakam
Journal jnci cancer spectrum
Year 2026
DOI
10.1093/jncics/pkag109
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.