Vascular Risk Factor and Cognitive Impairment in Elderly
Bibliographic record
Abstract
The elderly are more likely to experience cognitive impairment, especially those who have a vascular risk factor. The purpose of this study was to determine the relationship between vascular risk factor and cognitive impairment in the elderly. Observational research method with cross-sectional design consist of 79 participant in Tresna Werdha Puspa Karma Social Institution, Mataram from October to November 2021. The subjects were measured blood pressure, weight and height to obtain BMI, glucose level, and total cholesterol. Furthermore, each participant underwent a cognitive function test using Moca-INA. Data were analyzed by chi-square and logistic regression. Diabetes mellitus (p =0.09), hypertension (p =0.037), lower education (p =0,01) and hight blood pressure (p =0.036) were associated with poor cognitive function.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".