Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)

Objectives To evaluate variability in life expectancy at birth in small areas, describe the spatial pattern of life expectancy, and examine associations between small-area socioeconomic characteristics and life expectancy in a mid-sized city of a middle-income country.Design Cross-sectional, using d...

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Main Authors: Ana V Diez Roux, Usama Bilal, D Alex Quistberg, Kari A Moore, Harrison Quick, Santiago Rodríguez López, Natalia Tumas, Binod Acharya, Gabriel E Acevedo
Format: Article
Language:English
Published: BMJ Publishing Group 2022-09-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/9/e061277.full
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author Ana V Diez Roux
Usama Bilal
D Alex Quistberg
Kari A Moore
Harrison Quick
Santiago Rodríguez López
Natalia Tumas
Binod Acharya
Gabriel E Acevedo
author_facet Ana V Diez Roux
Usama Bilal
D Alex Quistberg
Kari A Moore
Harrison Quick
Santiago Rodríguez López
Natalia Tumas
Binod Acharya
Gabriel E Acevedo
author_sort Ana V Diez Roux
collection DOAJ
description Objectives To evaluate variability in life expectancy at birth in small areas, describe the spatial pattern of life expectancy, and examine associations between small-area socioeconomic characteristics and life expectancy in a mid-sized city of a middle-income country.Design Cross-sectional, using data from death registries (2015–2018) and socioeconomic characteristics data from the 2010 national population census.Participants/setting 40 898 death records in 99 small areas of the city of Córdoba, Argentina. We summarised variability in life expectancy at birth by using the difference between the 90th and 10th percentile of the distribution of life expectancy across small areas (P90-P10 gap) and evaluated associations with small-area socioeconomic characteristics by calculating a Slope Index of Inequality in linear regression.Primary outcome Life expectancy at birth.Results The median life expectancy at birth was 80.3 years in women (P90-P10 gap=3.2 years) and 75.1 years in men (P90-P10 gap=4.6 years). We found higher life expectancies in the core and northwest parts of the city, especially among women. We found positive associations between life expectancy and better small-area socioeconomic characteristics, especially among men. Mean differences in life expectancy between the highest versus the lowest decile of area characteristics in men (women) were 3.03 (2.58), 3.52 (2.56) and 2.97 (2.31) years for % adults with high school education or above, % persons aged 15–17 attending school, and % households with water inside the dwelling, respectively. Lower values of % overcrowded households and unemployment rate were associated with longer life expectancy: mean differences comparing the lowest versus the highest decile were 3.03 and 2.73 in men and 2.57 and 2.34 years in women, respectively.Conclusion Life expectancy is substantially heterogeneous and patterned by socioeconomic characteristics in a mid-sized city of a middle-income country, suggesting that small-area inequities in life expectancy are not limited to large cities or high-income countries.
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spelling doaj-art-d1d948f794f045ec94c855f9adddfc6c2025-02-01T21:40:11ZengBMJ Publishing GroupBMJ Open2044-60552022-09-0112910.1136/bmjopen-2022-061277Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)Ana V Diez Roux0Usama Bilal1D Alex Quistberg2Kari A Moore3Harrison Quick4Santiago Rodríguez López5Natalia Tumas6Binod Acharya7Gabriel E Acevedo8Department of Epidemiology & Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USADepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USADepartment of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USAUrban Health Collaborative, Drexel University, Philadelphia, Pennsylvania, USAUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USACentro de Investigaciones y Estudios sobre Cultura y Sociedad, Consejo Nacional de Investigaciones Científicas y Técnicas, Córdoba, ArgentinaCentro de Investigaciones y Estudios sobre Cultura y Sociedad, Consejo Nacional de Investigaciones Científicas y Técnicas, Córdoba, ArgentinaUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USACátedra de Medicina Preventiva y Social, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, ArgentinaObjectives To evaluate variability in life expectancy at birth in small areas, describe the spatial pattern of life expectancy, and examine associations between small-area socioeconomic characteristics and life expectancy in a mid-sized city of a middle-income country.Design Cross-sectional, using data from death registries (2015–2018) and socioeconomic characteristics data from the 2010 national population census.Participants/setting 40 898 death records in 99 small areas of the city of Córdoba, Argentina. We summarised variability in life expectancy at birth by using the difference between the 90th and 10th percentile of the distribution of life expectancy across small areas (P90-P10 gap) and evaluated associations with small-area socioeconomic characteristics by calculating a Slope Index of Inequality in linear regression.Primary outcome Life expectancy at birth.Results The median life expectancy at birth was 80.3 years in women (P90-P10 gap=3.2 years) and 75.1 years in men (P90-P10 gap=4.6 years). We found higher life expectancies in the core and northwest parts of the city, especially among women. We found positive associations between life expectancy and better small-area socioeconomic characteristics, especially among men. Mean differences in life expectancy between the highest versus the lowest decile of area characteristics in men (women) were 3.03 (2.58), 3.52 (2.56) and 2.97 (2.31) years for % adults with high school education or above, % persons aged 15–17 attending school, and % households with water inside the dwelling, respectively. Lower values of % overcrowded households and unemployment rate were associated with longer life expectancy: mean differences comparing the lowest versus the highest decile were 3.03 and 2.73 in men and 2.57 and 2.34 years in women, respectively.Conclusion Life expectancy is substantially heterogeneous and patterned by socioeconomic characteristics in a mid-sized city of a middle-income country, suggesting that small-area inequities in life expectancy are not limited to large cities or high-income countries.https://bmjopen.bmj.com/content/12/9/e061277.full
spellingShingle Ana V Diez Roux
Usama Bilal
D Alex Quistberg
Kari A Moore
Harrison Quick
Santiago Rodríguez López
Natalia Tumas
Binod Acharya
Gabriel E Acevedo
Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
BMJ Open
title Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
title_full Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
title_fullStr Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
title_full_unstemmed Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
title_short Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
title_sort intraurban socioeconomic inequalities in life expectancy a population based cross sectional analysis in the city of cordoba argentina 2015 2018
url https://bmjopen.bmj.com/content/12/9/e061277.full
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