High orientation and low delayed recall in the standardisation of the Spanish version of the Montreal Cognitive Assessment (MoCA) in elders of Peru
Bibliographic record
Abstract
Abstract INTRODUCTION The elderly in Peru face healthcare barriers in detecting cognitive impairment and dementia due to a lack of validated tools. The Montreal Cognitive Assessment (MoCA) effectively detects early dementia, assessing visuo-spatial function, executive function, naming, memory, attention, language, abstraction, and orientation. METHODS This study aims to standardise the Spanish version of the MoCA for the elderly in Lima. The test was administered to 338 elders from three institutions: Municipality of San Miguel District, San José Obrero Polyclinic, and EDMECON. Regression-based normed scores were computed, adjusted for age and education. RESULTS Our results show high orientation scores and low delayed recall, highlighting cognitive strengths and weaknesses in our sample. Age and education significantly influenced cognitive performance, with education as the strongest predictor. DISCUSSION This study offers normative data for the Peruvian elderly, aiding the clinical use of MoCA in Peru. We discuss appropriate cut-off points and cultural sensitivity in the Peruvian context.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".