Muñoz-Najar, AndrésMontemurro Garcia, Manuel FernellyTejada, María del CarmenRivera-Fernández, ClaudiaSánchez-Fernández, MiguelCustodio, NiltonPossin, Katherine L.Tsoy, ElenaLanata, SerggioSoto-Añari, Marcio2026-07-232026-07-232025Muñoz-Najar, A., Montemurro, M., Tejada, M. D. C., Rivera-Fernández, C., Sánchez-Fernández, M., Custodio, N., Possin, K. L., Tsoy, E., Lanata, S., & Soto-Añari, M. (2025). Peruvian validation and standardization of the TabCAT-brain health assessment. Frontiers in Public Health, 13, 1600131. https://doi.org/10.3389/fpubh.2025.1600131https://hdl.handle.net/11447/10905Introduction: Detecting cognitive impairment in low-educated and marginalized populations may result in under- or over-estimation of diagnoses due to reliance on non-validated approaches and normative data. This study validates and standardizes TabCAT-BHA for older adults living in the Andean region of Peru using regression-based normalization. Methods: Two hundred fifty-eight participants were assessed with the MMSE, RUDAS, and TabCAT-BHA. Classified as either cognitively healthy or impaired based on Clinical Dementia Rating criteria. Results: By incorporating sex, place of residence, age, and years of education as covariates, the TabCAT-BHA demonstrated greater accuracy in detecting cognitive impairment (AUC = 75.3%) compared to the MMSE (AUC = 66.4%) and RUDAS (AUC = 71.4%). After incorporating only significant sociodemographic predictors, TabCAT-BHA obtained better AUC (77.4%) compared to MMSE (66.6%) and RUDAS (71.9%). Discussion: The TabCAT-BHA proves to be a valid tool for detecting cognitive impairment, and incorporating sociodemographic factors improves its accuracy in marginalized settings of Peru.8 p.enAtribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)Alzheimer’s diseaseMild cognitive impairmentCognitive assessmentBrief cognitive testsRegression-based normingDigital cognitive toolsDiagnostic accuracyLow educational attainmentArticlehttps://doi.org/10.3389/fpubh.2025.1600131