Artículo
The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations
Santamaria Garcia, Hernando
; Moguilner, Sebastian Gabriel; Rodriguez Villagra, Odir Antonio; Botero Rodriguez, Felipe; Pina Escudero, Stefanie Danielle; O’Donovan, Gary; Albala, Cecilia; Matallana, Diana; Schulte, Michael; Slachevsky, Andrea; Yokoyama, Jennifer S.; Possin, Katherine; Ndhlovu, Lishomwa C.; Al-Rousan, Tala; Corley, Michael J.; Kosik, Kenneth; Muniz Terrera, Graciela; Miranda, J. Jaime; Ibañez, Agustin Mariano
![Icon](/themes/CONICETDigital/images/conicet.png)
![Icon](/themes/CONICETDigital/images/conicet.png)
Fecha de publicación:
02/2023
Editorial:
Springer Science and Business Media Deutschland GmbH
Revista:
GeroScience
ISSN:
2509-2715
e-ISSN:
2509-2723
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
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Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Santamaria Garcia, Hernando; Moguilner, Sebastian Gabriel; Rodriguez Villagra, Odir Antonio; Botero Rodriguez, Felipe; Pina Escudero, Stefanie Danielle; et al.; The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations; Springer Science and Business Media Deutschland GmbH; GeroScience; 45; 4; 2-2023; 2405-2423
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