Cancer Stage at Diagnosis, Historical Redlining, and Current Neighborhood Characteristics: Breast, Cervical, Lung, and Colorectal Cancers, Massachusetts, 2001-2015

Am J Epidemiol. 2020 Oct 1;189(10):1065-1075. doi: 10.1093/aje/kwaa045.

Abstract

In the 1930s, maps created by the federal Home Owners' Loan Corporation (HOLC) nationalized residential racial segregation via "redlining," whereby HOLC designated and colored in red areas they deemed to be unsuitable for mortgage lending on account of their Black, foreign-born, or low-income residents. We used the recently digitized HOLC redlining maps for 28 municipalities in Massachusetts to analyze Massachusetts Cancer Registry data for late stage at diagnosis for cervical, breast, lung, and colorectal cancer (2001-2015). Multivariable analyses indicated that, net of age, sex/gender, and race/ethnicity, residing in a previously HOLC-redlined area imposed an elevated risk for late stage at diagnosis, even for residents of census tracts with present-day economic and racial privilege, whereas the best historical HOLC grade was not protective for residents of census tracts without such current privilege. For example, a substantially elevated risk of late stage at diagnosis occurred among men with lung cancer residing in currently privileged areas that had been redlined (risk ratio = 1.17, 95% confidence interval: 1.06, 1.29), whereas such risk was attenuated among men residing in census tracts lacking such current privilege (risk ratio = 1.01, 95% confidence interval: 0.94, 1.08). Research on historical redlining as a structural driver of health inequities is warranted.

Keywords: breast cancer; cervical cancer; colorectal cancer; health inequities; historical redlining; lung cancer; residential segregation; stage at diagnosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Delayed Diagnosis / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Massachusetts / epidemiology
  • Middle Aged
  • Neoplasm Staging
  • Neoplasms / diagnosis*
  • Neoplasms / epidemiology
  • Registries*
  • Residence Characteristics / statistics & numerical data*