Universidad Peruana Cayetano Heredia

The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations

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dc.contributor.author Santamaria-Garcia, Hernando
dc.contributor.author Moguilner, Sebastian
dc.contributor.author Rodriguez-Villagra, Odir Antonio
dc.contributor.author Botero-Rodriguez, Felipe
dc.contributor.author Pina-Escudero, Stefanie Danielle
dc.contributor.author O’Donovan, Gary
dc.contributor.author Albala, Cecilia
dc.contributor.author Matallana, Diana
dc.contributor.author Schulte, Michael
dc.contributor.author Slachevsky, Andrea
dc.contributor.author Yokoyama, Jennifer S.
dc.contributor.author Possin, Katherine
dc.contributor.author Ndhlovu, Lishomwa C.
dc.contributor.author Al-Rousan, Tala
dc.contributor.author Corley, Michael J.
dc.contributor.author Kosik, Kenneth S.
dc.contributor.author Muniz-Terrera, Graciela
dc.contributor.author Miranda, J. Jaime
dc.contributor.author Ibanez, Agustin
dc.coverage.spatial Colombia
dc.date.accessioned 2023-03-23T15:49:34Z
dc.date.available 2023-03-23T15:49:34Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/20.500.12866/13281
dc.description.abstract Global initiatives call for further understanding of the impact of inequity on aging across underserved populations. Previous research in low- and middle-income countries (LMICs) presents limitations in assessing combined sources of inequity and outcomes (i.e., cognition and functionality). In this study, we assessed how social determinants of health (SDH), cardiometabolic factors (CMFs), and other medical/social factors predict cognition and functionality in an aging Colombian population. We ran a cross-sectional study that combined theory- (structural equation models) and data-driven (machine learning) approaches in a population-based study (N = 23,694; M = 69.8 years) to assess the best predictors of cognition and functionality. We found that a combination of SDH and CMF accurately predicted cognition and functionality, although SDH was the stronger predictor. Cognition was predicted with the highest accuracy by SDH, followed by demographics, CMF, and other factors. A combination of SDH, age, CMF, and additional physical/psychological factors were the best predictors of functional status. Results highlight the role of inequity in predicting brain health and advancing solutions to reduce the cognitive and functional decline in LMICs. en_US
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries GeroScience
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Social determinants of Health en_US
dc.subject Cardiometabolic factors en_US
dc.subject Cognition en_US
dc.subject Functionality en_US
dc.subject National Aging Population Survey en_US
dc.subject.mesh Determinantes Sociales de la Salud
dc.subject.mesh Factores de Riesgo Cardiometabólico
dc.subject.mesh Cognición
dc.subject.mesh Encuestas y Cuestionarios
dc.title The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1007/s11357-023-00755-z
dc.relation.issn 2509-2723


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