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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Prevalence of Neurocognitive Disorders in the Elderly Quechua Population Using the Q-RUDAS
Jonathan Zegarra-Valdivia1, Ruth Diana Mamani Quispe2, José Chinoapaza Turpo2
1Psychology Program, Faculty of Health Sciences, Universidad Cientifica del Sur, Lima 15842, Peru.
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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