Machine learning models showed that social disparities, cardiometabolic disease and mental health were predictors of aging in LatinAmerican populations, particularly in low-income versus high-income Latin American countries. tcddublin AgustinMIbanez
We thank the national aging survey teams from Chile, Uruguay, Colombia, Ecuador, Costa Rica and China for providing the data for this study. The manuscript appropriately cites lead authors and teams when necessary. A.I.
Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UKThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, AustraliaBrian Lawlor & Agustin Ibanez
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