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Published in: Journal of Urban Health 2/2017

01-04-2017

Impact of Urban Neighborhood Disadvantage on Late Stage Breast Cancer Diagnosis in Virginia

Authors: Pam Baker DeGuzman, Wendy F. Cohn, Fabian Camacho, Brandy L. Edwards, Vanessa N. Sturz, Anneke T. Schroen

Published in: Journal of Urban Health | Issue 2/2017

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Abstract

Research suggests that residents of inner-city urban neighborhoods have higher rates of late stage cancer diagnosis. Identifying urban neighborhoods with high rates of both concentrated disadvantage and late stage cancer diagnosis may assist health care providers to target screening interventions to reduce disparities. The purposes of this study were to (1) create an index to evaluate concentrated disadvantage (CD) using non-racial measures of poverty, (2) determine the impact of neighborhood CD on late stage breast cancer diagnosis in US cities, and (3) to understand the role of obesity on this relationship. We used census block group- (CBG) level poverty indicators from five Virginia cities to develop the index. Breast cancer cases of women aged 18–65 who lived in the five cities were identified from the 2000–2012 Virginia Cancer Registry. A logistic regression model with random intercept was used to evaluate the impact of disadvantage on late stage breast cancer diagnosis. CBG-level maps were developed to geographically identify neighborhoods with both high rates of CD and late breast cancer staging. Over 900 CBGs and 6000 breast cases were included. Global fit of the concentrated disadvantage model was acceptable. The effect of disadvantage on late stage was significant (OR = 1.0083, p = 0.032). Inner-city poverty impacts risk of late stage breast cancer diagnosis. Area-level obesity is highly correlated with neighborhood poverty (ρ = 0.74, p < 0.0001) but the mediating direct and indirect effects are non-significant. Intervening in these high poverty neighborhoods may help combat disparities in late stage diagnosis for urban poor and for minorities living in these underserved neighborhoods, but more study is needed to understanding the complex relationship between concentrated neighborhood poverty, obesity, and late stage diagnosis.
Literature
1.
go back to reference Dickens C, Joffe M, Jacobson J, et al. Stage at breast cancer diagnosis and distance from diagnostic hospital in a periurban setting: a South African public hospital case series of over 1,000 women. Int J Cancer. 2014; 135(9): 2173–82. doi:10.1002/ijc.28861.CrossRefPubMedPubMedCentral Dickens C, Joffe M, Jacobson J, et al. Stage at breast cancer diagnosis and distance from diagnostic hospital in a periurban setting: a South African public hospital case series of over 1,000 women. Int J Cancer. 2014; 135(9): 2173–82. doi:10.​1002/​ijc.​28861.CrossRefPubMedPubMedCentral
7.
go back to reference Jargowsky PA. Architecture of segregation: civil unrest, the concentration of poverty, and public policy. New York: The Century Foundation; Camden: Center for Urban Research and Education, Rutgers; 2015. Jargowsky PA. Architecture of segregation: civil unrest, the concentration of poverty, and public policy. New York: The Century Foundation; Camden: Center for Urban Research and Education, Rutgers; 2015.
9.
go back to reference Flores YN, Davidson PL, Nakazono TT, Carreon DC, Mojica CM. Neighborhood socio-economic disadvantage and race/ethnicity as predictors of breast cancer stage at diagnosis. BMC Public Health. 2013; 13(1): 1. doi:10.1186/1471-2458-13-1061.CrossRef Flores YN, Davidson PL, Nakazono TT, Carreon DC, Mojica CM. Neighborhood socio-economic disadvantage and race/ethnicity as predictors of breast cancer stage at diagnosis. BMC Public Health. 2013; 13(1): 1. doi:10.​1186/​1471-2458-13-1061.CrossRef
12.
go back to reference Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson R. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter? The public health disparities geocoding project. Am J Epidemiol. 2002; 156(5): 471–82. doi:10.1093/aje/kwf068.CrossRefPubMed Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson R. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter? The public health disparities geocoding project. Am J Epidemiol. 2002; 156(5): 471–82. doi:10.​1093/​aje/​kwf068.CrossRefPubMed
15.
go back to reference DeGuzman PB, Schminkey DL. Influencing genomic change and cancer disparities through neighborhood chronic toxic stress exposure: a research framework. Public Health Nurs. 2016; 33(6): 547–57. doi:10.1111/phn.12290.CrossRefPubMed DeGuzman PB, Schminkey DL. Influencing genomic change and cancer disparities through neighborhood chronic toxic stress exposure: a research framework. Public Health Nurs. 2016; 33(6): 547–57. doi:10.​1111/​phn.​12290.CrossRefPubMed
16.
go back to reference Lipscomb J, Fleming ST, Trentham-Dietz A, et al. What predicts an advanced-stage diagnosis of breast cancer? Sorting out the influence of method of detection, access to care, and biologic factors. Cancer Epidemiol Biomarkers Prev. 2016; 25(4): 613–23. doi:10.1158/1055-9965.EPI-15-0225. Lipscomb J, Fleming ST, Trentham-Dietz A, et al. What predicts an advanced-stage diagnosis of breast cancer? Sorting out the influence of method of detection, access to care, and biologic factors. Cancer Epidemiol Biomarkers Prev. 2016; 25(4): 613–23. doi:10.​1158/​1055-9965.​EPI-15-0225.
22.
go back to reference Kim YA, Lee CW. Effects of obesity on breast cancer stage at diagnosis in Korean women. Eur J Cancer Prev. 2004;13(1):13–17. Kim YA, Lee CW. Effects of obesity on breast cancer stage at diagnosis in Korean women. Eur J Cancer Prev. 2004;13(1):13–17.
24.
go back to reference Ingram DD, Franco SJ. NCHS urban-rural classification scheme for counties. Vital Health Stat 2. 2012;(154):1–65. Ingram DD, Franco SJ. NCHS urban-rural classification scheme for counties. Vital Health Stat 2. 2012;(154):1–65.
26.
go back to reference Newsom JT. Longitudinal Structural Equation Modeling: a Comprehensive Introduction. New York, NY: Taylor & Francis; 2015. Newsom JT. Longitudinal Structural Equation Modeling: a Comprehensive Introduction. New York, NY: Taylor & Francis; 2015.
31.
go back to reference Centers for Disease Control and Prevention. 500 cities: local data for better health. U.S. Department of Health & Human Services Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion. 2016. https://www.cdc.gov/500cities/. Accessed 20 Feb 2017. Centers for Disease Control and Prevention. 500 cities: local data for better health. U.S. Department of Health & Human Services Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion. 2016. https://​www.​cdc.​gov/​500cities/​. Accessed 20 Feb 2017.
32.
go back to reference Valeri L, VanderWeele TJ. Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychol Methods. 2013; 18(2): 137–50.CrossRefPubMedPubMedCentral Valeri L, VanderWeele TJ. Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychol Methods. 2013; 18(2): 137–50.CrossRefPubMedPubMedCentral
34.
go back to reference Centola D. The spread of behavior in an online social network experiment. Science. 2010;329(5996):1194–7. Centola D. The spread of behavior in an online social network experiment. Science. 2010;329(5996):1194–7.
35.
go back to reference Jargowsky PA. Concentration of poverty in the new millennium: changes in prevalence, composition, and location in high poverty neighborhoods. The Century Foundation and Rutgers Center for Urban Research and Education; The Century Foundation, New York; NY 2013. p. 1–29. Jargowsky PA. Concentration of poverty in the new millennium: changes in prevalence, composition, and location in high poverty neighborhoods. The Century Foundation and Rutgers Center for Urban Research and Education; The Century Foundation, New York; NY 2013. p. 1–29.
Metadata
Title
Impact of Urban Neighborhood Disadvantage on Late Stage Breast Cancer Diagnosis in Virginia
Authors
Pam Baker DeGuzman
Wendy F. Cohn
Fabian Camacho
Brandy L. Edwards
Vanessa N. Sturz
Anneke T. Schroen
Publication date
01-04-2017
Publisher
Springer US
Published in
Journal of Urban Health / Issue 2/2017
Print ISSN: 1099-3460
Electronic ISSN: 1468-2869
DOI
https://doi.org/10.1007/s11524-017-0142-5

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