Chinoapaza Turpo, Jose Felix

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Chinoapaza Turpo, Jose Felix
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Chinoapaza Turpo, Jose Felix
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Chinoapaza Turpo, José
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Universidad Peruana Unión
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    Prevalence of Neurocognitive Disorders in the Elderly Quechua Population Using the Q-RUDAS
    (Multidisciplinary Digital Publishing Institute (MDPI), 2025-12-04)
    Zegarra-Valdivia, Jonathan Adrián
    ;
    Mamani Quispe, Ruth Diana  
    ;
    Chinoapaza Turpo, Jose Felix  
    ;
    Paredes-Manrique, Carmen Noelia
    ;
    Malaga, Marco
    Background:The Rowland Universal Dementia Assessment Scale (RUDAS) is a validated cognitive screening tool for illiterate and low-educated individuals, adaptable across languages and cultures. In Peru, we adapted it for Quechua speakers (Q-RUDAS) to assess cognitive status in older adults. Objective: We aimed to estimate the prevalence of neurocognitive disorders—mild cognitive impairment (MCI) and dementia—among Quechua-speaking older adults in one of the most socially vulnerable districts of Peru using the Quechua version of the Rowland Universal Dementia Assessment Scale (Q-RUDAS), a brief cognitive screening tool validated in Peru. Methods: We studied 511 participants from Puno a region in the southern Peruvian Andes (mean age 65.04 ± 6.73 years; 80.4% females), collecting sociodemographic data and Q-RUDAS scores. After excluding 18 individuals with medical conditions that could affect cognitive performance, such as neurological, psychiatric, or cerebrovascular disorders, 493 completed the test. Results: All Q-RUDAS items were well understood, although over 50% of participants struggled with visuospatial construction. The mean Q-RUDAS score was 26.01 ± 2.71. Of the participants, 446 (90.5%) scored within normal ranges (26.67 ± 1.92), 41 (8.3%) were classified as having mild cognitive impairment (MCI) (21.49 ± 1.92), and 6 (1.2%) as having dementia (17.00 ± 2.71) based on established Q-RUDAS cut-offs. Urban participants scored higher. The prevalence of MCI and dementia combined was 9.52%. Conclusions: The Q-RUDAS is a culturally sensitive tool that can support the identification of cognitive impairment in Indigenous populations. Our findings highlight the need for further cross-validation studies to refine diagnostic accuracy in Quechua-speaking populations.
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