IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i2p992-d1026252.html
   My bibliography  Save this article

Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia

Author

Listed:
  • Laura A. Rodriguez-Villamizar

    (Department of Public Health, School of Medicine, Universidad Industrial de Santander, Bucaramanga 681012, Colombia)

  • Diana Marín

    (School of Medicine, Universidad Pontificia Bolivariana, Medellin 050031, Colombia)

  • Juan Gabriel Piñeros-Jiménez

    (School of Public Health, Universidad de Antioquia, Medellin 050010, Colombia)

  • Oscar Alberto Rojas-Sánchez

    (Division of Public Health Research, Project Bank Team, National Institute of Health-INS Colombia, Bogotá 111321, Colombia)

  • Jesus Serrano-Lomelin

    (Department of Public Health, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Victor Herrera

    (Department of Public Health, School of Medicine, Universidad Industrial de Santander, Bucaramanga 681012, Colombia)

Abstract

Mortality inequalities have been described across Latin American countries, but less is known about inequalities within cities, where most populations live. We aimed to identify geographic and socioeconomic inequalities in mortality within the urban areas of four main cities in Colombia. We analyzed mortality due to non-violent causes of diseases in adults between 2015 and 2019 using census sectors as unit of analysis in Barranquilla, Bogotá, Cali, and Medellín. We calculated smoothed Bayesian mortality rates as main health outcomes and used concentration indexes (CInd) for assessing inequalities using the multidimensional poverty index (MPI) as the socioeconomic measure. Moran eigenvector spatial filters were calculated to capture the spatial patterns of mortality and then used in multivariable models of the association between mortality rates and quintiles of MPI. Social inequalities were evident but not consistent across cities. The most disadvantaged groups showed the highest mortality rates in Cali. Geographic inequalities in mortality rates, regardless of the adults and poverty distribution, were identified in each city, suggesting that other social, environmental, or individual conditions are impacting the spatial distribution of mortality rates within the four cities.

Suggested Citation

  • Laura A. Rodriguez-Villamizar & Diana Marín & Juan Gabriel Piñeros-Jiménez & Oscar Alberto Rojas-Sánchez & Jesus Serrano-Lomelin & Victor Herrera, 2023. "Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:992-:d:1026252
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/2/992/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/2/992/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krieger, N. & Waterman, P.D. & Batra, N. & Murphy, J.S. & Dooley, D.P. & Shah, S.N., 2017. "Measures of local segregation for monitoring health inequities by local health departments," American Journal of Public Health, American Public Health Association, vol. 107(6), pages 903-906.
    2. repec:aph:ajpbhl:10.2105/ajph.2017.303713_7 is not listed on IDEAS
    3. Roger J. Marshall, 1991. "Mapping Disease and Mortality Rates Using Empirical Bayes Estimators," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 283-294, June.
    4. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    5. Krieger, N. & Waterman, P.D. & Spasojevic, J. & Li, W. & Maduro, G. & Van Wye, G., 2016. "Public health monitoring of privilege and deprivation with the index of concentration at the extremes," American Journal of Public Health, American Public Health Association, vol. 106(2), pages 256-263.
    6. Shiue-Shan Weng & Ta-Chien Chan & Pei-Ying Hsu & Shu-Fen Niu, 2021. "Neighbourhood Social Determinants of Health and Geographical Inequalities in Premature Mortality in Taiwan: A Spatiotemporal Approach," IJERPH, MDPI, vol. 18(13), pages 1-14, July.
    7. Zimmerman, Annie & Lund, Crick & Araya, Ricardo & Hessel, Philipp & Sanchez, Juliana & Garman, Emily & Evans-lacko, Sara & Diaz, Yadira & Avendano-pabon, Mauricio, 2022. "The relationship between multidimensional poverty, income poverty and youth depressive symptoms: cross-sectional evidence from Mexico, South Africa and Colombia," LSE Research Online Documents on Economics 113755, London School of Economics and Political Science, LSE Library.
    8. Jesus Serrano-Lomelin & Charlene C. Nielsen & Anne Hicks & Susan Crawford & Jeffrey A. Bakal & Maria B. Ospina, 2020. "Geographic Inequalities of Respiratory Health Services Utilization during Childhood in Edmonton and Calgary, Canada: A Tale of Two Cities," IJERPH, MDPI, vol. 17(23), pages 1-17, December.
    Full references (including those not matched with items on IDEAS)

    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. Garman, E.C. & Avendano, Mauricio & Araya, Ricardo & Evans-Lacko, Sara & McDaid, David & Zimmerman, A. & Lund, C., 2022. "Understanding the complex relationship between multidimensional poverty and depressive symptoms among young South Africans: a cross-sectional study," LSE Research Online Documents on Economics 116674, London School of Economics and Political Science, LSE Library.
    2. Joseph Gibbons & Tse-Chuan Yang & Elizabeth Brault & Michael Barton, 2020. "Evaluating Residential Segregation’s Relation to the Clustering of Poor Health across American Cities," IJERPH, MDPI, vol. 17(11), pages 1-18, June.
    3. Anders Larrabee Sonderlund & Mia Charifson & Antoinette Schoenthaler & Traci Carson & Natasha J Williams, 2022. "Racialized economic segregation and health outcomes: A systematic review of studies that use the Index of Concentration at the Extremes for race, income, and their interaction," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-27, January.
    4. Angel G. Ortiz & Daniel Wiese & Kristen A. Sorice & Minhhuyen Nguyen & Evelyn T. González & Kevin A. Henry & Shannon M. Lynch, 2020. "Liver Cancer Incidence and Area-Level Geographic Disparities in Pennsylvania—A Geo-Additive Approach," IJERPH, MDPI, vol. 17(20), pages 1-20, October.
    5. Kelvin C. Fong & Maayan Yitshak-Sade & Kevin J. Lane & M. Patricia Fabian & Itai Kloog & Joel D. Schwartz & Brent A. Coull & Petros Koutrakis & Jaime E. Hart & Francine Laden & Antonella Zanobetti, 2020. "Racial Disparities in Associations between Neighborhood Demographic Polarization and Birth Weight," IJERPH, MDPI, vol. 17(9), pages 1-11, April.
    6. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    7. Espinoza-Delgado, José & Silber, Jacques, 2018. "Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables," MPRA Paper 88750, University Library of Munich, Germany.
    8. Marlous Milliano & Ilze Plavgo, 2018. "Analysing Multidimensional Child Poverty in Sub-Saharan Africa: Findings Using an International Comparative Approach," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 805-833, June.
    9. Angela C. Lyons & Josephine Kass‐Hanna & Alejandro Montoya Castano, 2023. "A multidimensional approach to measuring vulnerability to poverty among refugee populations," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 2014-2045, October.
    10. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    11. Mathias KUEPIE & Eric Patrick FEUBI PAMEN, 2017. "An Application of the Alkire-Foster’s Multidimensional Poverty Index to Data from Madagascar: Taking Into Account the Dimensions of Employment and Gender Inequality," Working Paper 6ca04615-044d-41a0-8737-9, Agence française de développement.
    12. Pinaki Das & Bibek Paria & Shama Firdaush, 2021. "Juxtaposing Consumption Poverty and Multidimensional Poverty: A Study in Indian Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 469-501, January.
    13. L'Roe, Jessica & Detoeuf, Diane & Wieland, Michelle & Ikati, Bernard & Enduyi Kimuha, Moïse & Sandrin, François & Angauko Sukari, Odette & Nzale Nkumu, Junior & Kretser, Heidi E. & Wilkie, David, 2023. "Large-scale monitoring in the DRC’s Ituri forest with a locally informed multidimensional well-being index," World Development, Elsevier, vol. 169(C).
    14. Sugata Bag & Suman Seth, 2016. "Understanding Standard of Living and Correlates in Slums - An Analysis Using Monetary Versus Multidimensional Approaches in Three Indian Cities," Working papers 263, Centre for Development Economics, Delhi School of Economics.
    15. Gaurav Datt, 2019. "Multidimensional poverty in the Philippines, 2004–2013: How much do choices for weighting, identification and aggregation matter?," Empirical Economics, Springer, vol. 57(4), pages 1103-1128, October.
    16. Alkire, Sabina & Roche, José Manuel & Vaz, Ana, 2017. "Changes Over Time in Multidimensional Poverty: Methodology and Results for 34 Countries," World Development, Elsevier, vol. 94(C), pages 232-249.
    17. Supachai Nakapan & Nitin Kumar Tripathi & Taravudh Tipdecho & Marc Souris, 2012. "Spatial Diffusion of Influenza Outbreak-Related Climate Factors in Chiang Mai Province, Thailand," IJERPH, MDPI, vol. 9(11), pages 1-19, October.
    18. Alkire, Sabina & Nogales, Ricardo & Quinn, Natalie Naïri & Suppa, Nicolai, 2021. "Global multidimensional poverty and COVID-19: A decade of progress at risk?," Social Science & Medicine, Elsevier, vol. 291(C).
    19. Louise Choo & Stephen G. Walker, 2008. "A new approach to investigating spatial variations of disease," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 395-405, April.
    20. Wei Zou & Xiaopei Cheng & Zengzeng Fan & Wenxi Yin, 2023. "Multidimensional Relative Poverty in China: Identification and Decomposition," Sustainability, MDPI, vol. 15(6), pages 1-27, March.

    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:20:y:2023:i:2:p:992-:d:1026252. 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.