AREA
Cognitive Neuroscience
SITE
The Lancet Global Health
TYPE
Articles
YEAR
Formal publication: January 2025.
Authors: Da Ros, L.U., Vendramini Borelli, W., Schaffer Aguzzoli, C., De Bastiani, M.A., Porcello Schilling, L., Santamaria-Garcia, H., Pascoal, T.A., Rosa-Neto, P., Souza, D.O., Costa da Costa, J., Ibañez, A., Kimie Suemoto, C. & Zimmer, E.R.
Abstract: Background
Latin American countries present major health-related inequities due to historical, cultural, and social aspects. Recent evidence highlights that factors related to social and health disparities outweigh classic demographic factors in determining healthy brain aging in these populations. However, these analyses have not been conducted with the Brazilian population, the largest and most ethnically diverse population in Latin America.
Methods
Here, we evaluated demographic, social, and health factors for healthy brain ageing using a machine learning model in a Brazilian population-based cohort (n=9412) and in additional cohorts from other Latin American countries, including Colombia (n=23 694), Chile (n=1301), Ecuador (n=5235), and Uruguay (n=1450).
Findings
In the Brazilian population and other Latin American countries, social and health disparities were more influential than demographic factors for cognition and functional ability. Uniquely in Brazil, education emerged as the primary risk factor impacting cognitive outcomes, diverging from other Latin American countries where mental health symptoms played more prominent roles. In terms of functional ability, Brazil displayed a distinct pattern, with mental health symptoms identified as the primary contributing factor.
Interpretation
Our findings indicate that Brazil converges with other Latin American countries to show that heterogeneous factors impacted more than demographic factors, but also showed a unique set of health factors when compared with other Latin American countries. Therefore, our study emphasises that social and health disparity factors are relevant predictors of healthy brain ageing in Latin America, but population-specific analyses are necessary to identify the specific risk profiles of each country.
