Efficacy of Nintendo Switch Rehabilitation Program for Older Adults: A Quasi-Experimental Study
Bibliographic record
Abstract
Objective: To evaluate the effectiveness of Nintendo Switch videogames in promoting the rehabilitation of institutionalized older adults. Materials and Methods: This quasi-experimental study with a control group followed Strengthening the Reporting of Observational Studies in Epidemiology guidelines to ensure methodological quality. The study included 27 institutionalized older adults aged 60 or over at risk of falling, with a Performance-Oriented Mobility Assessment (POMA) score of 19–28 points. The sample was divided into two groups: an intervention group with 14 participants and a control group with 13. An 8-week rehabilitation program was implemented, consisting of two weekly 60-minute sessions using Nintendo Switch Sport games. Each session included warming up and stretching. The instruments used were the Montreal Cognitive Assessment (MoCA), POMA, Katz Index, Geriatric Depression Scale 15, and State-Trait Anxiety Inventory (STAI). Results: The sample was made up of 18.5% men and 81.5% women. Significant improvements in dynamic and static balance (POMA, P < 0.001), cognitive status (MoCA, P < 0.01), and independence (Katz, P < 0.05) were observed in the experimental group. Statistically significant differences were found between groups for MoCA ( P < 0.05) and STAI ( P < 0.05) at baseline and for Katz ( P < 0.01) and STAI ( P < 0.05) after the intervention. Conclusion: The Nintendo Switch has proven effective in rehabilitating older adults and promoting active and healthy aging. Implementing exergames can improve balance, independence, and cognitive ability in older adult residents of nursing homes. Supervision by health care professionals is crucial to ensure safety and maximize therapeutic benefits.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".