The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations
Journal
GeroScience
ISSN
2509-2715
2509-2723
Date Issued
2023
Author(s)
Hernando Santamaria-Garcia
Sebastian Moguilner
Odir Antonio Rodriguez-Villagra
Felipe Botero-Rodriguez
Stefanie Danielle Pina-Escudero
Gary O’Donovan
Cecilia Albala
Diana Matallana
Michael Schulte
Andrea Slachevsky
Jennifer S. Yokoyama
Katherine Possin
Lishomwa C. Ndhlovu
Tala Al-Rousan
Michael J. Corley
Kenneth S. Kosik
Graciela Muniz-Terrera
J. Jaime Miranda
Agustin Ibanez
Type
Resource Types::text::journal::journal article
Abstract
<jats:title>Abstract</jats:title><jats:p>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 (<jats:italic>N</jats:italic> = 23,694;<jats:italic>M</jats:italic> = 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.</jats:p>
Subjects
cardiometabolic factors
;
cognition
;
functionality
;
national aging population survey
;
social determinants of health
;
aging
;
cardiovascular diseases
;
cognition
;
colombia
;
cross-sectional studies
;
humans
;
social determinants of health
;
social factors
;
vulnerable populations
;
area under the curve
;
article
;
barthel index
;
cardiometabolic risk factor
;
cognitive aging
;
colombian
;
controlled study
;
cross-sectional study
;
daily life activity
;
demographics
;
female
;
functional status
;
grip strength
;
health disparity
;
health impact assessment
;
human
;
lawton instrumental activities of daily living scale
;
linear regression analysis
;
machine learning
;
male
;
measurement accuracy
;
measurement precision
;
mental health
;
mental performance
;
psychological aspect
;
sensitivity and specificity
;
social determinants of health
;
social inequality
;
socioeconomics
;
structural equation modeling
;
aging
;
cardiovascular disease
;
cognition
;
colombia
;
epidemiology
;
social aspect
;
social determinants of health
;
vulnerable population