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Journal article
Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
BMJ open, v 12(9), pe061277
02 Sep 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
ObjectivesTo 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.DesignCross-sectional, using data from death registries (2015–2018) and socioeconomic characteristics data from the 2010 national population census.Participants/setting40 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 outcomeLife expectancy at birth.ResultsThe 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.ConclusionLife 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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Details
- Title
- Intraurban socioeconomic inequalities in life expectancy: a population-based cross-sectional analysis in the city of Córdoba, Argentina (2015–2018)
- Creators
- Santiago Rodríguez López - Cátedra de Antropología, Departamento de Fisiología, Facultad de Ciencias Exactas Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, ArgentinaNatalia Tumas - Research Group on Health Inequalities, Environment, and Employment Conditions Network (GREDS-EMCONET), Department of Social and Political Science, Universitat Pompeu Fabra, Barcelona, SpainUsama Bilal - Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USAKari A Moore - Drexel UniversityBinod Acharya - Drexel UniversityHarrison Quick - Drexel UniversityD Alex Quistberg - Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USAGabriel E Acevedo - Cátedra de Medicina Preventiva y Social, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, ArgentinaAna V Diez Roux - Drexel University
- Publication Details
- BMJ open, v 12(9), pe061277
- Publisher
- British Medical Journal Publishing Group
- Grant note
- Grant agreement N◦ 89102 / H2020 Marie Skłodowska-Curie Actions (http://dx.doi.org/10.13039/100010665) 205177/Z/16/Z / Wellcome Trust (http://dx.doi.org/10.13039/100010269) DP5OD26429 / Office of the Director of the National Institutes of Health
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Web of Science ID
- WOS:000853434200036
- Scopus ID
- 2-s2.0-85138517716
- Other Identifier
- 991019173699904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health