Cargando…

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, usin...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodríguez López, Santiago, Tumas, Natalia, Bilal, Usama, Moore, Kari A, Acharya, Binod, Quick, Harrison, Quistberg, D Alex, Acevedo, Gabriel E, Diez Roux, Ana V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442478/
https://www.ncbi.nlm.nih.gov/pubmed/36691155
http://dx.doi.org/10.1136/bmjopen-2022-061277
_version_ 1784782821212028928
author Rodríguez López, Santiago
Tumas, Natalia
Bilal, Usama
Moore, Kari A
Acharya, Binod
Quick, Harrison
Quistberg, D Alex
Acevedo, Gabriel E
Diez Roux, Ana V
author_facet Rodríguez López, Santiago
Tumas, Natalia
Bilal, Usama
Moore, Kari A
Acharya, Binod
Quick, Harrison
Quistberg, D Alex
Acevedo, Gabriel E
Diez Roux, Ana V
author_sort Rodríguez López, Santiago
collection PubMed
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.
format Online
Article
Text
id pubmed-9442478
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-94424782022-09-14 Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018) Rodríguez López, Santiago Tumas, Natalia Bilal, Usama Moore, Kari A Acharya, Binod Quick, Harrison Quistberg, D Alex Acevedo, Gabriel E Diez Roux, Ana V BMJ Open Public Health 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. BMJ Publishing Group 2022-09-02 /pmc/articles/PMC9442478/ /pubmed/36691155 http://dx.doi.org/10.1136/bmjopen-2022-061277 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Public Health
Rodríguez López, Santiago
Tumas, Natalia
Bilal, Usama
Moore, Kari A
Acharya, Binod
Quick, Harrison
Quistberg, D Alex
Acevedo, Gabriel E
Diez Roux, Ana V
Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
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 córdoba, argentina (2015–2018)
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442478/
https://www.ncbi.nlm.nih.gov/pubmed/36691155
http://dx.doi.org/10.1136/bmjopen-2022-061277
work_keys_str_mv AT rodriguezlopezsantiago intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018
AT tumasnatalia intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018
AT bilalusama intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018
AT moorekaria intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018
AT acharyabinod intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018
AT quickharrison intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018
AT quistbergdalex intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018
AT acevedogabriele intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018
AT diezrouxanav intraurbansocioeconomicinequalitiesinlifeexpectancyapopulationbasedcrosssectionalanalysisinthecityofcordobaargentina20152018