Cognitive Impairment Predicts Fatal Incident Stroke: Findings from a National Sample of Older Adults
Bibliographic record
Abstract
OBJECTIVES: To investigate the effect of cognitive impairment on fatal and nonfatal incident stroke in older adults. DESIGN: A large, national, prospective, population-based study of a representative cohort of older Canadians followed over a 10-year period. SETTING: Secondary analyses were conducted using data from the Canadian Study of Health and Aging, a population-based study of older adults followed prospectively from 1991 to 2001. PARTICIPANTS: Nine thousand four hundred fifty-one adults aged 65 and older who had not previously been diagnosed with stroke at baseline (in 1991). MEASUREMENTS: In addition to known risk factors, the independent contribution of cognitive function (diagnosed in a clinical examination) was examined as a risk for stroke in older adults. RESULTS: Multinomial logistic regression analyses showed that cognitive impairment was associated with twice the odds of fatal incident stroke, controlling for well-established risk factors. CONCLUSION: This study provides further evidence for the need to consider cognitive function in relation to stroke risk in older populations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".