IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i5p484-d97675.html
   My bibliography  Save this article

Modeling Geospatial Patterns of Late-Stage Diagnosis of Breast Cancer in the US

Author

Listed:
  • Lee R. Mobley

    (School of Public Health and Andrew Young School of Policy Studies, Georgia State University, 1 Park Place, Atlanta, GA 30304, USA)

  • Tzy-Mey Kuo

    (Lineberger Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA)

  • Lia Scott

    (School of Public Health, Georgia State University, Atlanta, GA 30304, USA)

  • Yamisha Rutherford

    (School of Public Health, Georgia State University, Atlanta, GA 30304, USA)

  • Srimoyee Bose

    (School of Public Health, Georgia State University, Atlanta, GA 30304, USA)

Abstract

In the US, about one-third of new breast cancers (BCs) are diagnosed at a late stage, where morbidity and mortality burdens are higher. Health outcomes research has focused on the contribution of measures of social support, particularly the residential isolation or segregation index, on propensity to utilize mammography and rates of late-stage diagnoses. Although inconsistent, studies have used various approaches and shown that residential segregation may play an important role in cancer morbidities and mortality. Some have focused on any individuals living in residentially segregated places (place-centered), while others have focused on persons of specific races or ethnicities living in places with high segregation of their own race or ethnicity (person-centered). This paper compares and contrasts these two approaches in the study of predictors of late-stage BC diagnoses in a cross-national study. We use 100% of U.S. Cancer Statistics (USCS) Registry data pooled together from 40 states to identify late-stage diagnoses among ~1 million new BC cases diagnosed during 2004–2009. We estimate a multilevel model with person-, county-, and state-level predictors and a random intercept specification to help ensure robust effect estimates. Person-level variables in both models suggest that non-White races or ethnicities have higher odds of late-stage diagnosis, and the odds of late-stage diagnosis decline with age, being highest among the

Suggested Citation

  • Lee R. Mobley & Tzy-Mey Kuo & Lia Scott & Yamisha Rutherford & Srimoyee Bose, 2017. "Modeling Geospatial Patterns of Late-Stage Diagnosis of Breast Cancer in the US," IJERPH, MDPI, vol. 14(5), pages 1-16, May.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:5:p:484-:d:97675
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/5/484/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/5/484/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bell, Janice F. & Zimmerman, Frederick J. & Almgren, Gunnar R. & Mayer, Jonathan D. & Huebner, Colleen E., 2006. "Birth outcomes among urban African-American women: A multilevel analysis of the role of racial residential segregation," Social Science & Medicine, Elsevier, vol. 63(12), pages 3030-3045, December.
    2. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, July.
    3. Rima Wilkes & John Iceland, 2004. "Hypersegregation in the twenty-first century," Demography, Springer;Population Association of America (PAA), vol. 41(1), pages 23-36, February.
    4. Oakes, J. Michael, 2004. "The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology," Social Science & Medicine, Elsevier, vol. 58(10), pages 1929-1952, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gomes, Veronica & Wiese, Daniel & Stroup, Antoinette & Henry, Kevin A., 2023. "Ethnic enclaves and colon cancer stage at diagnosis among New Jersey Hispanics," Social Science & Medicine, Elsevier, vol. 328(C).
    2. Yanrong Qiu & Kaihuai Liao & Yanting Zou & Gengzhi Huang, 2022. "A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    3. Salamata Yoda & Laurie A. Theeke, 2022. "A Scoping Review of Factors Contributing to Late-Stage Diagnosis of Breast Cancer in Racial and Ethnic Minority (African American and Hispanic) Women," SAGE Open, , vol. 12(4), pages 21582440221, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lutfi, Khaleeq & Trepka, Mary Jo & Fennie, Kristopher P. & Ibanez, Gladys & Gladwin, Hugh, 2015. "Racial residential segregation and risky sexual behavior among non-Hispanic blacks, 2006–2010," Social Science & Medicine, Elsevier, vol. 140(C), pages 95-103.
    2. Wang, Chih-Hao & Chen, Na, 2017. "A geographically weighted regression approach to investigating the spatially varied built-environment effects on community opportunity," Journal of Transport Geography, Elsevier, vol. 62(C), pages 136-147.
    3. Kramer, Michael R. & Cooper, Hannah L. & Drews-Botsch, Carolyn D. & Waller, Lance A. & Hogue, Carol R., 2010. "Metropolitan isolation segregation and Black-White disparities in very preterm birth: A test of mediating pathways and variance explained," Social Science & Medicine, Elsevier, vol. 71(12), pages 2108-2116, December.
    4. Schempf, Ashley & Strobino, Donna & O'Campo, Patricia, 2009. "Neighborhood effects on birthweight: An exploration of psychosocial and behavioral pathways in Baltimore, 1995-1996," Social Science & Medicine, Elsevier, vol. 68(1), pages 100-110, January.
    5. Jennifer B. Kane & Claire Margerison-Zilko, 2017. "Theoretical Insights into Preconception Social Conditions and Perinatal Health: The Role of Place and Social Relationships," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(5), pages 639-669, October.
    6. Chocholatá Michaela & Furková Andrea, 2017. "Regional Disparities in Education Attainment Level in the European Union: A Spatial Approach," TalTech Journal of European Studies, Sciendo, vol. 7(2), pages 107-131, October.
    7. Motoyama, Yasuyuki & Cao, Cong & Appelbaum, Richard, 2014. "Observing regional divergence of Chinese nanotechnology centers," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 11-21.
    8. Jonathan L. Blitstein & David M. Murray & Peter J. Hannan & William R. Shadish, 2005. "Increasing the Degrees of Freedom in Future Group Randomized Trials," Evaluation Review, , vol. 29(3), pages 268-286, June.
    9. Rey, Sergio, 2015. "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality," MPRA Paper 69482, University Library of Munich, Germany.
    10. Chih-Hao Wang & Na Chen, 2021. "A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths," Transportation, Springer, vol. 48(4), pages 1967-1986, August.
    11. Padovano, Fabio & Petrarca, Ilaria, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," European Journal of Political Economy, Elsevier, vol. 34(C), pages 459-477.
    12. Mitchell, Richard & Dujardin, Claire & Popham, Frank & Farfan Portet, Maria-Isabel & Thomas, Isabelle & Lorant, Vincent, 2011. "Using matched areas to explore international differences in population health," Social Science & Medicine, Elsevier, vol. 73(8), pages 1113-1122.
    13. Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.
    14. Humphrey, Jamie L. & Root, Elisabeth D., 2017. "Spatio-temporal neighborhood impacts on internalizing and externalizing behaviors in U.S. elementary school children: Effect modification by child and family socio-demographics," Social Science & Medicine, Elsevier, vol. 180(C), pages 52-61.
    15. Giuseppe Espa & Giuseppe Arbia & Diego Giuliani, 2013. "Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan," Journal of Geographical Systems, Springer, vol. 15(1), pages 31-50, January.
    16. Spielman, Seth E. & Yoo, Eun-hye, 2009. "The spatial dimensions of neighborhood effects," Social Science & Medicine, Elsevier, vol. 68(6), pages 1098-1105, March.
    17. Yanrong Qiu & Kaihuai Liao & Yanting Zou & Gengzhi Huang, 2022. "A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    18. Tse-Chuan Yang & Stephen A Matthews, 2015. "Death by Segregation: Does the Dimension of Racial Segregation Matter?," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-26, September.
    19. Manfred M. Fischer & Nico Pintar & Benedikt Sargant, 2016. "Austrian Outbound Foreign Direct Investment in Europe:A spatial econometric study," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 10(1), pages 1-22, JUNE.
    20. Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 419-436, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:14:y:2017:i:5:p:484-:d:97675. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.