Assessing the 10/66 dementia classification algorithm for international comparative analyses with the United States.
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 classificatio...
| Publicado en: | American Journal of Epidemiology Vol. 194; no. 11; pp. 3117 - 3126 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189501653&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189501653 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00029262 1X1 jtl: American Journal of Epidemiology issn: 00029262 maglogo: N pubinfo: dt: Nov2025 vid: 194 iid: 11 pid: 622 pub: Oxford University Press / USA artinfo: ui: 189501653 189501653 189501653 10.1093/aje/kwae470 189501653 ppf: 3117 ppct: 9 formats: tig: atl: Assessing the 10/66 dementia classification algorithm for international comparative analyses with the United States. aug: au: Guerra, Jorge J Llibre Weiss, Jordan Li, Jing Soria, Chris Rodriguez-Salgado, Ana Rodriguez, Juan Jesús Llibre Velázquez, Ivonne Z Jiménez Acosta, Daisy Liu, Mao-Mei Dow, William H affil: Department of Neurology, Washington University in St. Louis, St. Louis, MO, United States sug: subj: Dementia Classification Algorithms Aging Low and Middle Income Countries Instrument Validation Funding Source United States Human Male Female Aged Aged, 80 and Over Validation Studies Comparative Studies Random Sample Logistic Regression ROC Curve Data Analysis Software Descriptive Statistics Sensitivity and Specificity Alzheimer's Disease Scales Interview Guides Psychological Tests Aged: 65+ years Aged, 80 & over Male Female ab: 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 US Aging, Demographics, and Memory Study (ADAMS), the dementia sub-study of the Health and Retirement Study, and assesses its performance in ADAMS. We identified the subset of 10/66 algorithm items comparably measured in ADAMS, then used these items to retrain the 10/66 algorithm against the ADAMS clinical dementia diagnosis, using k-fold cross-validation to assess performance. We compared the modified 10/66 algorithm to 4 other dementia classification algorithms previously validated in ADAMS, both for overall dementia estimation as well as for estimating education gradients. The modified 10/66 algorithm had higher sensitivity (87%) and specificity (93%) than the comparison algorithms. All the algorithms overestimated the education gradient in dementia, although the modest ADAMS sample size precludes precise comparisons of education gradient accuracy. Overall, we found that the modified 10/66 algorithm performs well in classifying dementia status in the United States. Our results support the validity of risk factor comparisons between US and 10/66 LMIC dementia data sets. This article is part of a Special Collection on Cross-National Gerontology. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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