The impact of neighborhood disadvantage on colorectal cancer screening among African Americans in Chicago

Paula Lozano, Fornessa T. Randal, Aven Peters, Briseis Aschebrook-Kilfoy, Muhammad G. Kibriya, Jiajun Luo, Sameep Shah, Paul Zakin, Andrew Craver, Liz Stepniak, Loren Saulsberry, Sonia Kupfer, Helen Lam, Habibul Ahsan, Karen E. Kim

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Historically, colorectal cancer (CRC) screening rates have been lower among African Americans. Previous studies that have examined the relationship between community characteristics and adherence to CRC screening have generally focused on a single community parameter, making it challenging to evaluate the overall impact of the social and built environment. In this study, we will estimate the overall effect of social and built environment and identify the most important community factors relevant to CRC screening. Data are from the Multiethnic Prevention and Surveillance Study (COMPASS), a longitudinal study among adults in Chicago, collected between May 2013 to March 2020. A total 2,836 African Americans completed the survey. Participants’ addresses were geocoded and linked to seven community characteristics (i.e., community safety, community crime, household poverty, community unemployment, housing cost burden, housing vacancies, low food access). A structured questionnaire measured adherence to CRC screening. Weighted quantile sum (WQS) regression was used to evaluate the impact of community disadvantages on CRC screening. When analyzing all community characteristics as a mixture, overall community disadvantage was associated with less adherence to CRC screening even after controlling for individual-level factors. In the adjusted WQS model, unemployment was the most important community characteristic (37.6%), followed by community insecurity (26.1%) and severe housing cost burden (16.3%). Results from this study indicate that successful efforts to improve adherence to CRC screening rates should prioritize individuals living in communities with high rates of insecurity and low socioeconomic status.

Original languageEnglish (US)
Article number102235
JournalPreventive Medicine Reports
Volume34
DOIs
StatePublished - Aug 2023

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Public Health, Environmental and Occupational Health

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