TY - JOUR
T1 - Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia
AU - Rodriguez-Villamizar, Laura A.
AU - Marín, Diana
AU - Piñeros-Jiménez, Juan Gabriel
AU - Rojas-Sánchez, Oscar Alberto
AU - Serrano-Lomelin, Jesus
AU - Herrera, Victor
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/1/5
Y1 - 2023/1/5
N2 - 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.
AB - 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.
KW - Bayes Theorem
KW - Cities
KW - Colombia/epidemiology
KW - Mortality
KW - Poverty
KW - Socioeconomic Factors
KW - Mortality
KW - Poverty
KW - Health disparities
KW - Spatial analysis
KW - Cardiovascular diseases
KW - Respiratory tract diseases
KW - Neoplasms
KW - Colombia
UR - http://www.scopus.com/inward/record.url?scp=85146774888&partnerID=8YFLogxK
U2 - 10.3390/ijerph20020992
DO - 10.3390/ijerph20020992
M3 - Artículo en revista científica indexada
C2 - 36673751
AN - SCOPUS:85146774888
SN - 1661-7827
VL - 20
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 2
M1 - 992
ER -