IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0205253.html
   My bibliography  Save this article

Spatial distribution of breast cancer mortality: Socioeconomic disparities and access to treatment in the state of Parana, Brazil

Author

Listed:
  • Sheila Cristina Rocha-Brischiliari
  • Luciano Andrade
  • Oscar Kenji Nihei
  • Adriano Brischiliari
  • Michele dos Santos Hortelan
  • Maria Dalva de Barros Carvalho
  • Sandra Marisa Pelloso

Abstract

Introduction: Breast cancer remains an important public health problem that is responsible for high morbidity and mortality rates, especially in developing countries. Objective: To analyze the socioeconomic and access disparities related to breast cancer mortality in 399 cities in the state of Parana, Brazil. Methods: Ecological, descriptive and analytical cross-sectional study based on secondary data from the Mortality Information System from 2009 to 2012 in the state of Parana. Breast cancer mortality rate was calculated considering the mortality cases and women population of each municipality, both based on women older than 20 years old. Moran global and local analyses were used to verify the presence of spatial autocorrelation and spatial regression modeling (Spatial Lag—SAR) with the purpose of analyzing the association between socioeconomic indicators, access and mortality rates for breast cancer. Results: Significant positive spatial autocorrelation was found for breast cancer mortality rates (I = 0.5432, p = 0.001). In the spatial regression analysis, the model explained 61% of the variance of the mortality rates for breast cancer. The mortality rate for breast cancer was negatively associated with the illiteracy rate (Coefficient = -0.0279) and positively associated with the access index (Coefficient = 12.9525). Conclusion: The lower illiteracy rate has not been sufficient to reduce the specific mortality rate by breast cancer, and the higher the score of accessibility to cancer services, the higher the specific mortality due to breast cancer. The results show that in the state of Parana, the problem is not related to a lack of education of the patients or the distance walked, but rather with the organization of services. These conclusions have important political implications on the organization and quality of the services provided for the diagnosis and treatment of breast cancer in the state of Parana.

Suggested Citation

  • Sheila Cristina Rocha-Brischiliari & Luciano Andrade & Oscar Kenji Nihei & Adriano Brischiliari & Michele dos Santos Hortelan & Maria Dalva de Barros Carvalho & Sandra Marisa Pelloso, 2018. "Spatial distribution of breast cancer mortality: Socioeconomic disparities and access to treatment in the state of Parana, Brazil," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    • Handle: RePEc:plo:pone00:0205253
    DOI: 10.1371/journal.pone.0205253
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205253
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0205253&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0205253?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kaimin Hu & Lixia Lou & Wei Tian & Tao Pan & Juan Ye & Suzhan Zhang, 2016. "The Outcome of Breast Cancer Is Associated with National Human Development Index and Health System Attainment," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-9, July.
    2. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
    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. Nayara Priscila Dantas de Oliveira & Marianna de Camargo Cancela & Luís Felipe Leite Martins & Dyego Leandro Bezerra de Souza, 2021. "Spatial distribution of advanced stage diagnosis and mortality of breast cancer: Socioeconomic and health service offer inequalities in Brazil," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-15, February.
    2. Alisson Castro Barreto & Tailon Martins & Stéfane Dias Rodrigues & Adriano Mendonça Souza, 2022. "Ecological study of mortality by prostate and breast cancer in Brazil," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(2), pages 495-509, April.

    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. Yi Yang & Jie Li & Guobin Zhu & Qiangqiang Yuan, 2019. "Spatio–Temporal Relationship and Evolvement of Socioeconomic Factors and PM 2.5 in China During 1998–2016," IJERPH, MDPI, vol. 16(7), pages 1-24, March.
    2. Xiya Zhang & Haibo Hu, 2019. "Combining Data from Multiple Sources to Evaluate Spatial Variations in the Economic Costs of PM 2.5 -Related Health Conditions in the Beijing–Tianjin–Hebei Region," IJERPH, MDPI, vol. 16(20), pages 1-17, October.
    3. Wanxu Chen & Guangqing Chi & Jiangfeng Li, 2020. "Ecosystem Services and Their Driving Forces in the Middle Reaches of the Yangtze River Urban Agglomerations, China," IJERPH, MDPI, vol. 17(10), pages 1-19, May.
    4. Tom Wilson & Irina Grossman & Monica Alexander & Phil Rees & Jeromey Temple, 2022. "Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 865-898, June.
    5. Dike Zhang & Jianpeng Wang & Ying Wang & Lei Xu & Liang Zheng & Bowen Zhang & Yuzhe Bi & Hui Yang, 2022. "Is There a Spatial Relationship between Urban Landscape Pattern and Habitat Quality? Implication for Landscape Planning of the Yellow River Basin," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    6. Hannaliis Jaadla & Alice Reid, 2017. "The geography of early childhood mortality in England and Wales, 1881–1911," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(58), pages 1861-1890.
    7. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
    8. Sascha O. Becker & Francesco Cinnirella & Ludger Woessmann, 2012. "The effect of investment in children’s education on fertility in 1816 Prussia," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 6(1), pages 29-44, January.
    9. Daniel Liviano & Josep-Maria Arauzo-Carod, 2012. "Spatial Exploration of Age Distribution in Catalan Municipalities," ERSA conference papers ersa12p81, European Regional Science Association.
    10. Greg Rybarczyk & Dorceta Taylor & Shannon Brines & Richard Wetzel, 2019. "A Geospatial Analysis of Access to Ethnic Food Retailers in Two Michigan Cities: Investigating the Importance of Outlet Type within Active Travel Neighborhoods," IJERPH, MDPI, vol. 17(1), pages 1-18, December.
    11. Rares Halbac-Cotoara-Zamfir & Gianluca Egidi & Rosanna Salvia & Luca Salvati & Adele Sateriano & Antonio Gimenez-Morera, 2021. "Recession, Local Fertility, and Urban Sustainability: Results of a Quasi-Experiment in Greece, 1991–2018," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    12. Chen, Wanxu & Chi, Guangqing, 2022. "Urbanization and ecosystem services: The multi-scale spatial spillover effects and spatial variations," Land Use Policy, Elsevier, vol. 114(C).
    13. Agnese Vitali & Arnstein Aassve & Trude Lappegård, 2015. "Diffusion of Childbearing Within Cohabitation," Demography, Springer;Population Association of America (PAA), vol. 52(2), pages 355-377, April.
    14. Gülhan, Sinan Tankut, 2022. "The Election Day that Lasted 84 Days: Mapping the Electoral Geography of the 2019 Istanbul Metropolitan Mayoral Race," SocArXiv ufvtz, Center for Open Science.
    15. Rubo Zhao & Yixiang Tian & Ao Lei & Francis Boadu & Ze Ren, 2019. "The Effect of Local Government Debt on Regional Economic Growth in China: A Nonlinear Relationship Approach," Sustainability, MDPI, vol. 11(11), pages 1-22, May.
    16. Kirsten Schwarz & Michail Fragkias & Christopher G Boone & Weiqi Zhou & Melissa McHale & J Morgan Grove & Jarlath O’Neil-Dunne & Joseph P McFadden & Geoffrey L Buckley & Dan Childers & Laura Ogden & S, 2015. "Trees Grow on Money: Urban Tree Canopy Cover and Environmental Justice," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-17, April.
    17. Dustin T. Duncan & Jared Aldstadt & John Whalen & Kellee White & Márcia C. Castro & David R. Williams, 2012. "Space, race, and poverty: Spatial inequalities in walkable neighborhood amenities?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(17), pages 409-448.
    18. Leah H. Schinasi & Helen V. S. Cole & Jana A. Hirsch & Ghassan B. Hamra & Pedro Gullon & Felicia Bayer & Steven J. Melly & Kathryn M. Neckerman & Jane E. Clougherty & Gina S. Lovasi, 2021. "Associations between Greenspace and Gentrification-Related Sociodemographic and Housing Cost Changes in Major Metropolitan Areas across the United States," IJERPH, MDPI, vol. 18(6), pages 1-24, March.
    19. Sha Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Cifang Wu & Yanmei Ye, 2019. "Combined Impact of Socioeconomic Forces and Policy Implications: Spatial-Temporal Dynamics of the Ecosystem Services Value in Yangtze River Delta, China," Sustainability, MDPI, vol. 11(9), pages 1-22, May.
    20. Kelsea Best & Siobhan Kerr & Allison Reilly & Anand Patwardhan & Deb Niemeier & Seth Guikema, 2023. "Spatial regression identifies socioeconomic inequality in multi-stage power outage recovery after Hurricane Isaac," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 851-873, May.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0205253. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.