Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017

Autores
Trotta, Andrés; Bilal, Usama; Acharya, Binod; Quick, Harrison; Moore, Kari; Perner, Mónica Serena; Alazraqui, Marcio; Diez Roux, Ana Victoria
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Studies of life expectancy (LE) in small areas of cities are relatively common in high-income countries but rare in Latin American countries. Small-area estimation methods can help to describe and quantify inequities in LE between neighborhoods and their predictors. Our objective was to analyze the distribution and spatial patterning of LE across small areas of Ciudad Autónoma de Buenos Aires (CABA), Argentina, and its association with socioeconomic characteristics. As part of the SALURBAL project, we used georeferenced death certificates in 2015–2017 for CABA, Argentina. We used a spatial Bayesian Poisson model using the TOPALS method to estimate age- and sex-specific mortality rates. We used life tables to estimate LE at birth. We obtained data on neighborhood socioeconomic characteristics from the 2010 census and analyzed their associations. LE at birth was higher for women (median of across neighborhoods = 81.1 years) compared to men (76.7 years). We found a gap in LE of 9.3 (women) and 14.9 years (men) between areas with the highest and the lowest LE. Better socioeconomic characteristics were associated with higher LE. For example, mean differences in LE at birth in areas with highest versus lowest values of composite SES index were 2.79 years (95% CI: 2.30 to 3.28) in women and 5.61 years (95% CI: 4.98 to 6.24) in men. We found large spatial inequities in LE across neighborhoods of a large city in Latin America, highlighting the importance of place-based policies to address this gap.
Fil: Trotta, Andrés. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Bilal, Usama. Drexel University; Estados Unidos
Fil: Acharya, Binod. Drexel University; Estados Unidos
Fil: Quick, Harrison. Drexel University; Estados Unidos
Fil: Moore, Kari. Drexel University; Estados Unidos
Fil: Perner, Mónica Serena. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Alazraqui, Marcio. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos
Materia
LATIN AMERICA
LIFE EXPECTANCY
SMALL AREA ESTIMATION
URBAN HEALTH
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/220882
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/220882
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017Trotta, AndrésBilal, UsamaAcharya, BinodQuick, HarrisonMoore, KariPerner, Mónica SerenaAlazraqui, MarcioDiez Roux, Ana VictoriaLATIN AMERICALIFE EXPECTANCYSMALL AREA ESTIMATIONURBAN HEALTHhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Studies of life expectancy (LE) in small areas of cities are relatively common in high-income countries but rare in Latin American countries. Small-area estimation methods can help to describe and quantify inequities in LE between neighborhoods and their predictors. Our objective was to analyze the distribution and spatial patterning of LE across small areas of Ciudad Autónoma de Buenos Aires (CABA), Argentina, and its association with socioeconomic characteristics. As part of the SALURBAL project, we used georeferenced death certificates in 2015–2017 for CABA, Argentina. We used a spatial Bayesian Poisson model using the TOPALS method to estimate age- and sex-specific mortality rates. We used life tables to estimate LE at birth. We obtained data on neighborhood socioeconomic characteristics from the 2010 census and analyzed their associations. LE at birth was higher for women (median of across neighborhoods = 81.1 years) compared to men (76.7 years). We found a gap in LE of 9.3 (women) and 14.9 years (men) between areas with the highest and the lowest LE. Better socioeconomic characteristics were associated with higher LE. For example, mean differences in LE at birth in areas with highest versus lowest values of composite SES index were 2.79 years (95% CI: 2.30 to 3.28) in women and 5.61 years (95% CI: 4.98 to 6.24) in men. We found large spatial inequities in LE across neighborhoods of a large city in Latin America, highlighting the importance of place-based policies to address this gap.Fil: Trotta, Andrés. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; ArgentinaFil: Bilal, Usama. Drexel University; Estados UnidosFil: Acharya, Binod. Drexel University; Estados UnidosFil: Quick, Harrison. Drexel University; Estados UnidosFil: Moore, Kari. Drexel University; Estados UnidosFil: Perner, Mónica Serena. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Alazraqui, Marcio. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; ArgentinaFil: Diez Roux, Ana Victoria. Drexel University; Estados UnidosSpringer2023-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/220882Trotta, Andrés; Bilal, Usama; Acharya, Binod; Quick, Harrison; Moore, Kari; et al.; Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017; Springer; Journal Of Urban Health; 100; 3; 6-2023; 577-5901099-3460CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11524-023-00730-1info:eu-repo/semantics/altIdentifier/doi/10.1007/s11524-023-00730-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:01:34Zoai:ri.conicet.gov.ar:11336/220882instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:01:35.213CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017
title Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017
spellingShingle Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017
Trotta, Andrés
LATIN AMERICA
LIFE EXPECTANCY
SMALL AREA ESTIMATION
URBAN HEALTH
title_short Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017
title_full Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017
title_fullStr Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017
title_full_unstemmed Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017
title_sort Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017
dc.creator.none.fl_str_mv Trotta, Andrés
Bilal, Usama
Acharya, Binod
Quick, Harrison
Moore, Kari
Perner, Mónica Serena
Alazraqui, Marcio
Diez Roux, Ana Victoria
author Trotta, Andrés
author_facet Trotta, Andrés
Bilal, Usama
Acharya, Binod
Quick, Harrison
Moore, Kari
Perner, Mónica Serena
Alazraqui, Marcio
Diez Roux, Ana Victoria
author_role author
author2 Bilal, Usama
Acharya, Binod
Quick, Harrison
Moore, Kari
Perner, Mónica Serena
Alazraqui, Marcio
Diez Roux, Ana Victoria
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv LATIN AMERICA
LIFE EXPECTANCY
SMALL AREA ESTIMATION
URBAN HEALTH
topic LATIN AMERICA
LIFE EXPECTANCY
SMALL AREA ESTIMATION
URBAN HEALTH
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Studies of life expectancy (LE) in small areas of cities are relatively common in high-income countries but rare in Latin American countries. Small-area estimation methods can help to describe and quantify inequities in LE between neighborhoods and their predictors. Our objective was to analyze the distribution and spatial patterning of LE across small areas of Ciudad Autónoma de Buenos Aires (CABA), Argentina, and its association with socioeconomic characteristics. As part of the SALURBAL project, we used georeferenced death certificates in 2015–2017 for CABA, Argentina. We used a spatial Bayesian Poisson model using the TOPALS method to estimate age- and sex-specific mortality rates. We used life tables to estimate LE at birth. We obtained data on neighborhood socioeconomic characteristics from the 2010 census and analyzed their associations. LE at birth was higher for women (median of across neighborhoods = 81.1 years) compared to men (76.7 years). We found a gap in LE of 9.3 (women) and 14.9 years (men) between areas with the highest and the lowest LE. Better socioeconomic characteristics were associated with higher LE. For example, mean differences in LE at birth in areas with highest versus lowest values of composite SES index were 2.79 years (95% CI: 2.30 to 3.28) in women and 5.61 years (95% CI: 4.98 to 6.24) in men. We found large spatial inequities in LE across neighborhoods of a large city in Latin America, highlighting the importance of place-based policies to address this gap.
Fil: Trotta, Andrés. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Bilal, Usama. Drexel University; Estados Unidos
Fil: Acharya, Binod. Drexel University; Estados Unidos
Fil: Quick, Harrison. Drexel University; Estados Unidos
Fil: Moore, Kari. Drexel University; Estados Unidos
Fil: Perner, Mónica Serena. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Alazraqui, Marcio. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos
description Studies of life expectancy (LE) in small areas of cities are relatively common in high-income countries but rare in Latin American countries. Small-area estimation methods can help to describe and quantify inequities in LE between neighborhoods and their predictors. Our objective was to analyze the distribution and spatial patterning of LE across small areas of Ciudad Autónoma de Buenos Aires (CABA), Argentina, and its association with socioeconomic characteristics. As part of the SALURBAL project, we used georeferenced death certificates in 2015–2017 for CABA, Argentina. We used a spatial Bayesian Poisson model using the TOPALS method to estimate age- and sex-specific mortality rates. We used life tables to estimate LE at birth. We obtained data on neighborhood socioeconomic characteristics from the 2010 census and analyzed their associations. LE at birth was higher for women (median of across neighborhoods = 81.1 years) compared to men (76.7 years). We found a gap in LE of 9.3 (women) and 14.9 years (men) between areas with the highest and the lowest LE. Better socioeconomic characteristics were associated with higher LE. For example, mean differences in LE at birth in areas with highest versus lowest values of composite SES index were 2.79 years (95% CI: 2.30 to 3.28) in women and 5.61 years (95% CI: 4.98 to 6.24) in men. We found large spatial inequities in LE across neighborhoods of a large city in Latin America, highlighting the importance of place-based policies to address this gap.
publishDate 2023
dc.date.none.fl_str_mv 2023-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/220882
Trotta, Andrés; Bilal, Usama; Acharya, Binod; Quick, Harrison; Moore, Kari; et al.; Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017; Springer; Journal Of Urban Health; 100; 3; 6-2023; 577-590
1099-3460
CONICET Digital
CONICET
url http://hdl.handle.net/11336/220882
identifier_str_mv Trotta, Andrés; Bilal, Usama; Acharya, Binod; Quick, Harrison; Moore, Kari; et al.; Spatial Inequities in Life Expectancy in Small Areas of Buenos Aires, Argentina 2015–2017; Springer; Journal Of Urban Health; 100; 3; 6-2023; 577-590
1099-3460
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11524-023-00730-1
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11524-023-00730-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.993085

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