Literature DB >> 17416767

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

Jill Amlong MacKinnon1, Robert C Duncan, Youjie Huang, David J Lee, Lora E Fleming, Lydia Voti, Mark Rudolph, James D Wilkinson.   

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.

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Year:  2007        PMID: 17416767     DOI: 10.1158/1055-9965.EPI-06-0392

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  45 in total

1.  Significance of increasing poverty levels for determining late-stage breast cancer diagnosis in 1990 and 2000.

Authors:  Janis Barry; Nancy Breen; Michael Barrett
Journal:  J Urban Health       Date:  2012-08       Impact factor: 3.671

2.  Cancer control needs of 2-1-1 callers in Missouri, North Carolina, Texas, and Washington.

Authors:  Jason Q Purnell; Matthew W Kreuter; Katherine S Eddens; Kurt M Ribisl; Peggy Hannon; Rebecca S Williams; Maria E Fernandez; David Jobe; Susan Gemmel; Marti Morris; Debbie Fagin
Journal:  J Health Care Poor Underserved       Date:  2012-05

3.  Disparity in Breast Cancer Late Stage at Diagnosis in Missouri: Does Rural Versus Urban Residence Matter?

Authors:  Faustine Williams; Emmanuel Thompson
Journal:  J Racial Ethn Health Disparities       Date:  2015-06-20

4.  Breast cancer stage at diagnosis and geographic access to mammography screening (New Hampshire, 1998-2004).

Authors:  Maria O Celaya; Ethan M Berke; Tracy L Onega; Jiang Gui; Bruce L Riddle; Sai S Cherala; Judy R Rees
Journal:  Rural Remote Health       Date:  2010-04-23       Impact factor: 1.759

5.  A comparative analysis of breast cancer stage between women enrolled in the National Breast and Cervical Cancer Early Detection Program and women not participating in the program.

Authors:  Manxia Wu; Harland Austin; Christie R Eheman; Zachary Myles; Jacqueline Miller; Janet Royalty; A Blythe Ryerson
Journal:  Cancer Causes Control       Date:  2015-03-12       Impact factor: 2.506

6.  Area-level socioeconomic disadvantage and severe pulmonary tuberculosis: U.S., 2000-2008.

Authors:  Eyal Oren; Masahiro Narita; Charles Nolan; Jonathan Mayer
Journal:  Public Health Rep       Date:  2013 Mar-Apr       Impact factor: 2.792

7.  Visualizing and testing the impact of place on late-stage breast cancer incidence: a non-parametric geostatistical approach.

Authors:  Pierre Goovaerts
Journal:  Health Place       Date:  2009-11-10       Impact factor: 4.078

8.  Spatial cluster analysis of early stage breast cancer: a method for public health practice using cancer registry data.

Authors:  Jaymie R Meliker; Geoffrey M Jacquez; Pierre Goovaerts; Glenn Copeland; May Yassine
Journal:  Cancer Causes Control       Date:  2009-02-15       Impact factor: 2.506

9.  Does socioeconomic disparity in cancer incidence vary across racial/ethnic groups?

Authors:  Daixin Yin; Cyllene Morris; Mark Allen; Rosemary Cress; Janet Bates; Lihua Liu
Journal:  Cancer Causes Control       Date:  2010-06-22       Impact factor: 2.506

10.  Socioeconomic disparities in breast cancer survival: relation to stage at diagnosis, treatment and race.

Authors:  Xue Qin Yu
Journal:  BMC Cancer       Date:  2009-10-14       Impact factor: 4.430

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