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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
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    References listed on IDEAS

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    1. repec:aph:ajpbhl:10.2105/ajph.2017.303713_7 is not listed on IDEAS
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
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