{"doi":"10.3389/fpubh.2025.1600131","title":"Peruvian validation and standardization of the TabCAT-brain health assessment","abstract":"Introduction: 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.","journal":"Frontiers in Public Health","year":2025,"id":554008,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7395,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1451347,"name":"Manuel Montemurro","orcid":null,"position":1,"is_corresponding":false},{"id":1451348,"name":"María del Carmen Tejada","orcid":null,"position":2,"is_corresponding":false},{"id":1450871,"name":"Claudia Rivera-Fernández","orcid":"0000-0001-9592-4721","position":3,"is_corresponding":false},{"id":1451349,"name":"Miguel Sánchez-Fernández","orcid":null,"position":4,"is_corresponding":false},{"id":262259,"name":"Nilton Custodio","orcid":"0000-0002-8025-3272","position":5,"is_corresponding":false},{"id":465961,"name":"Katherine L. Possin","orcid":"0000-0002-6623-3793","position":6,"is_corresponding":false},{"id":367339,"name":"Elena Tsoy","orcid":"0000-0001-8786-1791","position":7,"is_corresponding":false},{"id":262283,"name":"Serggio Lanata","orcid":"0000-0002-2539-8575","position":8,"is_corresponding":false},{"id":262311,"name":"Marcio Soto‐Añari","orcid":"0000-0002-9121-3284","position":9,"is_corresponding":false},{"id":1451346,"name":"Andrés Muñoz-Najar","orcid":null,"position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":null,"created_at":"2026-07-19T02:54:45.872391Z","pmid":"40951388","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}