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

Dados Bibliográficos

ID15499447
AutoresLaura A Rodríguez-Villamizar (0000-0002-5551-2586, Industrial University of Santander, autor correspondente), Diana Marín (0000-0002-4715-8388, Universidad Pontificia Bolivariana), Juan Gabriel Piñeros-Jiménez (0000-0002-9944-5397, Universidad de Antioquia), Oscar Alberto Rojas-Sánchez (0000-0002-4981-1037, Division of Public Health Research, Project Bank Team, National Institute of Health-INS Colombia, Bogotá 111321, Colombia), Jesús Serrano-Lomelin (0000-0003-1627-3647, Queen's University), Veronica Herrera (0000-0002-6295-1640, Industrial University of Santander)
Ano2023
Volume20
Fascículo2
Páginas992-992
Data de publicação2023-01-05
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20020992
PMID36673751
OpenAlexW4313509092
IdiomaEN
Citações recebidas3
Referências citadas34

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

Census · Disadvantaged · Distribution (mathematics · Economic growth · Economics · Geography · Inequality · Latin Americans · Mortality rate · Political science · Population · Poverty · Social inequality · Socioeconomic status · Socioeconomics · Sociology · Climate Change and Health Impacts · Demography · Global Health Care Issues · Health disparities and outcomes · Mathematics