Evaluación de funcionamiento cognitivo en adultos: Análisis y contrastación de tres de los instrumentos de mayor divulgación en Chile
Bibliographic record
Abstract
2,cPsychometric properties of three instruments to detect dementia Background: Several instruments are available to measure cognitive functioning in older adults.However, there is paucity of information about their factorial structure and psychometric properties.Aim: To determine the factorial structure and the internal reliability of the Mini Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA) and the Adenbrookke´s Cognitive Examination (ACE-R), and their cognitive impairment detection capabilities.Material and Methods: MMSE, MoCA and ACE-R were applied to 203 older adults aged 54 to 88 years (77% women), excluding participants with dementia.Results: The factorial structure of the MMSE suggested that items referred to memory process should be eliminated due to their low reliability and factor loading (b = 0.12; p = 0.146).Although the MoCA had a good reliability, object denomination process items also had to be dropped (b = 0.22; p = 0.003).The ACE-R demonstrated a single factorial structure for all cognitive processes and had a good internal consistency.MMSE, MoCA and ACE-R classified as having dementia 5, 27 and 42% of participants, respectively.Conclusions: MoCA and the ACE-R scales appear as better instruments to detect dementia in older people.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".