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

Fecha

2023

Autores

Santamaría García, Hernando
Moguilner, Sebastián
Rodríguez Villagra, Odir Antonio
Botero Rodríguez, Felipe
Pina Escudero, Stefanie Danielle
O’Donovan, Gary
Albala, Cecilia
Matallana, Diana
Schulte, Michael
Slachevsky, Andrea

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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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Palabras clave

COGNITION, FUNCTIONALITY, AGING POPULATION, HEALTH, COLOMBIA

Citación

https://link.springer.com/article/10.1007/s11357-023-00755-z