Pilot feasibility study of cognitive training exercises for Egyptian adults: Proof of concept
Bibliographic record
Abstract
OBJECTIVES: Cognitive training exercises (CTE) are promising and effective interventions to enhance cognitive reserve and slowdown cognitive deterioration in people with subjective memory impairment (SCI) and mild cognitive impairment (MCI). In this pilot study, we aimed to assess the feasibility of CTE among Egyptian adults. METHODS: Eighteen participants above 40 years old were recruited. They underwent baseline neuropsychological assessment and functional assessment. However, after receiving a 6 weeks' cognitive training, eight participants (seven with MCI and one was cognitively intact) dropped out from the study. Finally, 10 participants (8 participants with MCI, 1 with SCI and 1 was cognitively intact) completed 12 weeks of CTE and undergone the post-assessment afterward. CTE included visual, verbal, memory, executive function, visuospatial, attention, and psychokinetic exercises through onsite and home-based sessions. RESULTS: For the 10 participants who completed 12 weeks of CTE, the Wilcoxon signed-rank test showed a statistically significant change in the scores of mini-mental state examination (Z = -2.546, p = 0.011), semantic fluency test (Z = -2.913, p = 0.004), subjective memory complaint questionnaire (Z = -2.913, p = 0.004), Consortium to Establish a Registry for Alzheimer's Disease Word List (first trial: Z = -2.641, p = 0.008; Word list recall: Z = -2.825, p = 0.005), construction abilities (immediate: Z = -2.121, p = 0.034; delayed recall: Z = -2.414, p = 0.016), and Digit span test (forward: Z = -2.724, p = 0.006; backward: Z = -2.724, p = 0.006). CONCLUSIONS: The results of this study suggested that CTE are feasible among Egyptian adults, especially those with MCI, and potentially effective in enhancing global cognition and after 12 weeks of training. Future research should shed light on the efficacy of longitudinal CTE implementation in Arab adults' 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".