STRONGER MEMORY: EXPERIENCES OF OLDER ADULTS AND CAREGIVERS IN AN INTERVENTION PROGRAM FOR COGNITIVE PERFORMANCE
Bibliographic record
Abstract
Abstract Subjective cognitive decline (SCD), defined as self-reported memory issues that have worsened over the past year, can be one of the first indications of Alzheimer’s disease and related dementias. SCD affects nearly 9% of Virginians aged 45 or older, and 31% of these individuals live alone. A practice-based intervention is essential to addressing the challenges associated with cognitive impairment. This study examined the effect of StrongerMemory program, which involves a series of cognitive exercises. The StrongerMemory program provides a 12-week curriculum designed to stimulate the brain’s prefrontal cortex, which governs the ability to retrieve memories. Participants are encouraged to spend 20 to 30 minutes a day reading aloud, writing or journaling and completing simple math problems. The Mason Gerontology Research Team investigated the pre- and post-cognitive outcomes among 43 participants who participated in the StrongerMemory program to determine the effectiveness of the program. The cognitive outcomes were evaluated using the Mini Montreal Cognitive Assessment 2.1 (Mini MoCA). The mean (SD) scores in Mini MoCA evaluated in the participants were 12.60 ± 2.1 (pre-test) and 13.53 ± 1.9 (post-test). The mean difference was statistically significant. Our results indicate that the StrongerMemory program is beneficial for cognition. The premise around the StrongerMemory program is that prior to a diagnosis or even with a diagnosis of mild cognitive impairment, a decline can be slowed and possibly prevented by participating in a program like StrongerMemory. The Mason Gerontology Research Team continues to evaluate the StrongerMemory program to examine its impact on SCD.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".