Detecting an association between socioeconomic status and late stage breast cancer using spatial analysis and area-based measures

Jill Amlong MacKinnon, Robert C. Duncan, Youjie Huang, David J Lee, Lora E. Fleming, Lydia Voti, Mark Rudolph, James D. Wilkinson

Research output: Contribution to journalArticle

72 Citations (Scopus)

Abstract

Objectives: To assess the relationship between socioeconomic status (SES) and late stage breast cancer using the cluster detection software SaTScan and U.S. census-derived area-based socioeconomic measures. Materials and Methods: Florida's 18,683 women diagnosed with late stage breast cancer (regional or distant stage) between 1998 and 2002 as identified by Florida's population-based, statewide, incidence registry were analyzed by SaTScan to identify areas of higher-than-expected incidence. The relationship between SES and late stage breast cancer was assessed at the neighborhood (block group) level by combining the SaTScan results with area-based SES data. Results: SaTScan identified 767 of Florida's 9,112 block groups that had higher-than-expected incidence of late stage breast cancer. After controlling for patient level insurance status, county level mammography prevalence, and urban/rural residence in the logistic regression model, women living in neighborhoods of severe and near poverty were respectively 3.0 and 1.6 times more likely to live in areas of higher-than-expected incidence of late stage breast cancer when compared with women living in nonpoverty. Additionally, areas in the lowest quartile of mammography usage were almost seven times more likely to have higher-than-expected incidence than areas in the higher quartiles. Conclusions: In addition to confirming the importance of mammography, results from the present study suggest that "where" you live plays an important role in defining the risk of presenting with late stage breast cancer. Additional research is urgently needed to understand this risk and to leverage the strengths and resources present in all communities to lower the late stage breast cancer burden.

Original languageEnglish
Pages (from-to)756-762
Number of pages7
JournalCancer Epidemiology Biomarkers and Prevention
Volume16
Issue number4
DOIs
StatePublished - Apr 1 2007

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Spatial Analysis
Social Class
Breast Neoplasms
Mammography
Incidence
Logistic Models
Insurance Coverage
Censuses
Poverty
Registries
Software
Research
Population

ASJC Scopus subject areas

  • Epidemiology
  • Oncology

Cite this

Detecting an association between socioeconomic status and late stage breast cancer using spatial analysis and area-based measures. / MacKinnon, Jill Amlong; Duncan, Robert C.; Huang, Youjie; Lee, David J; Fleming, Lora E.; Voti, Lydia; Rudolph, Mark; Wilkinson, James D.

In: Cancer Epidemiology Biomarkers and Prevention, Vol. 16, No. 4, 01.04.2007, p. 756-762.

Research output: Contribution to journalArticle

MacKinnon, Jill Amlong ; Duncan, Robert C. ; Huang, Youjie ; Lee, David J ; Fleming, Lora E. ; Voti, Lydia ; Rudolph, Mark ; Wilkinson, James D. / Detecting an association between socioeconomic status and late stage breast cancer using spatial analysis and area-based measures. In: Cancer Epidemiology Biomarkers and Prevention. 2007 ; Vol. 16, No. 4. pp. 756-762.
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