An occupation-based strategy training approach to managing age-related executive changes: a pilot randomized controlled trial
Bibliographic record
Abstract
OBJECTIVE: To determine the feasibility of recruitment and retention of healthy older adults and the effectiveness of an intervention designed to manage age-related executive changes. DESIGN: A pilot randomized controlled trial. SETTING: Research centre and participants' homes. PARTICIPANTS: Nineteen healthy, community dwelling older adults with complaints of cognitive difficulties and everyday problems, but no evidence of mild cognitive impairment, dementia or depression on objective testing. INTERVENTIONS: Seventeen hours of group and individual training. Participants in the experimental arm received education about self-management, successful aging and an occupation-based meta-cognitive strategy-training program. Participants in the control arm received education about brain health and participated in cognitively stimulating exercises. MAIN MEASURES: Changes on untrained, everyday life goals were identified using the Canadian Occupational Performance Measure. Generalization of benefits was measured using the Stanford Chronic Disease Questionnaire, general self-efficacy and changes in executive function (Delis-Kaplan Executive Function System Tower Test, Word Fluency and Trail-Making Test). RESULTS: 20% (19/96) of healthy older adults approached were eligible, consented and were enrolled in the study, 90% (17/19) were retained to three-month follow-up. Participants in the experimental arm reported significantly more improvement on untrained goals (11/22 compared with 9/46, χ(2)=4.92, p<0.05), maintenance of physical activity (p<0.05) and better preparation for doctors' visits (p<0.05) relative to the control group. There were no significant between group differences on objective measures of executive function. CONCLUSIONS: These data support the feasibility of a larger trial where a sample of 72 (36 participants in each arm) would be required to confirm or refute these findings.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".