Vascular Risk Factors and Cognitive Functions in Nondemented Elderly Individuals
Bibliographic record
Abstract
BACKGROUND: The brain-at-risk stage is the earliest phase of the vascular cognitive impairment continuum and includes individuals with vascular risk factors (VRF). However, there is still no clear definition of this concept. The aim of the study is to characterize the neuropsychological profile of elderly individuals by 3 levels of VRF. METHODS: This is a cross-sectional analysis of the Canadian Study of Health and Aging baseline data; 577 nondemented elderly individuals > or =65 years old were divided into 3 groups: reference group (0 VRF; n = 82); intermediate brain-at-risk group (1-2 VRF; n = 360); high brain-at-risk group (> or =3 VRF; n = 135). A principal component analysis (PCA) and univariate/multivariate analyses of variance were performed to examine the relationships between the groups and various cognitive measures. MAIN FINDINGS: The PCA produced a 2-component solution (1) executive/psychomotor functions including measures of abstraction and (2) verbal memory. The high brain-at-risk group performed significantly worse than the reference group on the first component. CONCLUSIONS: Elderly individuals presenting with > or =3 VRF are more impaired on measures of executive functions/ processing speed than participants without any VRF.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".