Assessing the 10/66 Dementia Classification Algorithm for International Comparative Analyses with the U.S.
Published in American Journal of Epidemiology, 2025
Cross-national comparisons of dementia prevalence are essential for identifying unique determinants and cultural-specific risk factors, but methodological differences in dementia classification across countries hinder global comparisons. This study maps the 10/66 algorithm for dementia classification, widely used and validated in low- and middle-income countries (LMICs), to the U.S. Aging, Demographics, and Memory Study (ADAMS), the dementia sub-study of the Health and Retirement Study, and assesses its performance in ADAMS.
Recommended citation: Jorge J Llibre Guerra, Jordan Weiss, Jing Li, Chris Soria, Ana Rodriguez-Salgado, Juan de Jesús Llibre Rodriguez, Ivonne Z Jiménez Velázquez, Daisy Acosta, Mao-Mei Liu, William H Dow, Assessing the 10/66 Dementia Classification Algorithm for International Comparative Analyses with the U.S., American Journal of Epidemiology, 2024;, kwae470, https://doi.org/10.1093/aje/kwae470 https://pubmed.ncbi.nlm.nih.gov/39745806/