Preventing cognitive decline via digital inclusion and virtual game management: an intervention study with older adults in the community
Bibliographic record
Abstract
Objective To evaluate the impact of cognitive stimulation via digital inclusion and the practice of video games on the cognition of the older population.Method This is a randomized controlled intervention study, nested in a population cohort study. Based on the application of the Clinical Dementia Rating (CDR) test, individuals aged 60 years or older with scores 0 and 0.5 were included and randomly allocated in the Intervention Group (IG) or Control Group (CG). Initially, 160 participants met the selection criteria and underwent neuropsychological evaluation via the Montreal Cognitive Assessment (MoCA), applied before and after intervention. The IG (n = 62) participated in computer-based intervention once a week for one-and-a-half hours, for 4 months. The CG (n = 47) participated in the mindfulness workshops held in the same period.Results The digital literacy intervention group averaged 2.6 points more in the MoCA after 4 months. The change in the final MoCA decreased in 0.46 points at each unit in the basal MoCA. Individuals with average schooling had an increase of 0.93 points in the change of the MoCA in relation to individuals with low or high schooling.Conclusion Digital inclusion combined with the practice of video games has the potential to improve the cognition of the older population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".