Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries

OBJECTIVES: To examine the socioeconomic status (SES) health gradient for obesity, diabetes, and hypertension within a diverse group of health outcomes and behaviors among older adults (60+) in upper middle-income countries benchmarked with high-income countries. METHOD: We used data from three uppe...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23372
Acceso en línea:
https://doi.org/10.1093/geronb/gby050
https://repository.urosario.edu.co/handle/10336/23372
Palabra clave:
Diabetes
Health disparities
Hypertension
Middle-income countries
Obesity
Socioeconomic status
Rights
License
Abierto (Texto Completo)
id EDOCUR2_28c03e338a568785733af353be6e79aa
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network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 8a163f52-0c2e-4b54-8be8-4d7d12e7db6d-184df725e-6077-4a6c-9dc6-e2a0fd7624ab-1db18efdf-5b0f-457c-bed2-904b77c650eb-1d9cdde84-ff17-4100-9690-d43a093cc1c5-1212312786002020-05-26T00:01:28Z2020-05-26T00:01:28Z2019OBJECTIVES: To examine the socioeconomic status (SES) health gradient for obesity, diabetes, and hypertension within a diverse group of health outcomes and behaviors among older adults (60+) in upper middle-income countries benchmarked with high-income countries. METHOD: We used data from three upper middle-income settings (Colombia-SABE-Bogotá, Mexico-SAGE, and South Africa-SAGE) and two high-income countries (England-ELSA and US-HRS) to estimate logistic regression models using age, gender, and education to predict health and health behaviors. RESULTS: The sharpest gradients appear in middle-income settings but follow expected patterns found in high-income countries for poor self-reported health, functionality, cognitive impairment, and depression. However, weaker gradients appear for obesity, hypertension, diabetes, and other chronic conditions in Colombia and Mexico and the gradient reverses in South Africa. Strong disparities exist in risky health behaviors and in early nutritional status in the middle-income settings. DISCUSSION: Rapid demographic and nutritional transitions, urbanization, poor early life conditions, social mobility, negative health behavior, and unique country circumstances provide a useful framework for understanding the SES health gradient in middle-income settings. In contrast with high-income countries, the increasing prevalence of obesity, an important risk factor for chronic conditions and other aspects of health, may ultimately change the SES gradient for diseases in the future. © The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.application/pdfhttps://doi.org/10.1093/geronb/gby050https://repository.urosario.edu.co/handle/10336/23372engNLM (Medline)e37 No. 6e25The journals of gerontology. Series BVol. 74The journals of gerontology. Series B, Psychological sciences and social sciences, Vol.74, No.6 (2019); pp. e25-e37https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071704468&doi=10.1093%2fgeronb%2fgby050&partnerID=40&md5=c18c30e6db32ae2ae3d4e66747312c3fAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURDiabetesHealth disparitiesHypertensionMiddle-income countriesObesitySocioeconomic statusPatterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income CountriesarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501McEniry, MarySamper-Ternent, RafaelPardo, RenataCano-Gutierrez, CarlosFlorez, Carmen-Elisa10336/23372oai:repository.urosario.edu.co:10336/233722022-05-02 07:37:20.941007https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries
title Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries
spellingShingle Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries
Diabetes
Health disparities
Hypertension
Middle-income countries
Obesity
Socioeconomic status
title_short Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries
title_full Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries
title_fullStr Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries
title_full_unstemmed Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries
title_sort Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries
dc.subject.keyword.spa.fl_str_mv Diabetes
Health disparities
Hypertension
Middle-income countries
Obesity
Socioeconomic status
topic Diabetes
Health disparities
Hypertension
Middle-income countries
Obesity
Socioeconomic status
description OBJECTIVES: To examine the socioeconomic status (SES) health gradient for obesity, diabetes, and hypertension within a diverse group of health outcomes and behaviors among older adults (60+) in upper middle-income countries benchmarked with high-income countries. METHOD: We used data from three upper middle-income settings (Colombia-SABE-Bogotá, Mexico-SAGE, and South Africa-SAGE) and two high-income countries (England-ELSA and US-HRS) to estimate logistic regression models using age, gender, and education to predict health and health behaviors. RESULTS: The sharpest gradients appear in middle-income settings but follow expected patterns found in high-income countries for poor self-reported health, functionality, cognitive impairment, and depression. However, weaker gradients appear for obesity, hypertension, diabetes, and other chronic conditions in Colombia and Mexico and the gradient reverses in South Africa. Strong disparities exist in risky health behaviors and in early nutritional status in the middle-income settings. DISCUSSION: Rapid demographic and nutritional transitions, urbanization, poor early life conditions, social mobility, negative health behavior, and unique country circumstances provide a useful framework for understanding the SES health gradient in middle-income settings. In contrast with high-income countries, the increasing prevalence of obesity, an important risk factor for chronic conditions and other aspects of health, may ultimately change the SES gradient for diseases in the future. © The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
publishDate 2019
dc.date.created.spa.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:01:28Z
dc.date.available.none.fl_str_mv 2020-05-26T00:01:28Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1093/geronb/gby050
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23372
url https://doi.org/10.1093/geronb/gby050
https://repository.urosario.edu.co/handle/10336/23372
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv e37
dc.relation.citationIssue.none.fl_str_mv No. 6
dc.relation.citationStartPage.none.fl_str_mv e25
dc.relation.citationTitle.none.fl_str_mv The journals of gerontology. Series B
dc.relation.citationVolume.none.fl_str_mv Vol. 74
dc.relation.ispartof.spa.fl_str_mv The journals of gerontology. Series B, Psychological sciences and social sciences, Vol.74, No.6 (2019); pp. e25-e37
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071704468&doi=10.1093%2fgeronb%2fgby050&partnerID=40&md5=c18c30e6db32ae2ae3d4e66747312c3f
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv NLM (Medline)
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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