Translation, cultural adaptation and psychometric evaluation of the Leganés cognitive test in a low educated elderly Brazilian population
Bibliographic record
Abstract
OBJECTIVE: To validate the Leganés cognitive test (LCT) for cognitive screening in low educated elderly Brazilians. METHODS: The study sample was composed of 59 elderly residents from the city of Santa Cruz, in Brazil, with low schooling levels. Reliability was analyzed with a two-day interval between assessments, and concurrent validity was assessed using the Mini Mental State Examination (MMSE). RESULTS: According to the LCT, the prevalence of dementia was 11.8%. The scale items showed a moderate to strong correlation between domains (p<0.01), and inter-rater reliability exhibited ICC=0.81, 95%CI=0.72-0.88. The factor analysis resulted in two factors: memory and orientation. Interscale agreement was considered poor (k=-0.02), supporting the hypothesis of an educational impact on final MMSE scores. CONCLUSION: The results suggest that LCT has acceptable levels of reliability for use in low-educated Brazilian elderly.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".