Positive, but Not Negative, Self-Perceptions of Aging Predict Cognitive Function Among Older Adults
Bibliographic record
Abstract
Self-perceptions of aging (SPA) refer to attitudes about one’s aging process and are linked to physical health and longevity. How SPA correlates with cognitive function in older adulthood is less well known. 136 older adults were administered a multifaceted SPA measure, The Brief Ageing Perceptions Questionnaire (B-APQ), in addition to a demographic form and a comprehensive neuropsychological battery. Positive and negative subscales of the B-APQ were correlated with aspects of cognitive function. Regression analyses revealed that only the positive B-APQ subscales predicted mental status ( β = .19, p < .05), short-delay memory ( β = .16, p < .05), processing speed ( β = −.21, p < .05), and two measures of executive function ( β = −.21, p < .01; β = .18, p < .05). This is the first study to demonstrate that positive dimensions of SPA relate to cognitive function in older adulthood.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".