Feasibility, safety, acceptability, and functional outcomes of playing Nintendo Wii Fit Plus (TM) for frail older adults: a randomized feasibility clinical trial
Bibliographic record
Abstract
Background: Recently, interactive video games (IVGs) have been used as a health-care intervention that provides both exercise and cognitive stimulation. Several studies have shown that IVGs can improve postural control, gait, cognition, and functional independence in elderly people and patients with neurological disease. However, there is a lack of evidence about the effects of IVGs on frail and pre-frail elderly people. The aim of this study was to evaluate the feasibility, safety, and acceptability of playing Nintendo Wii Fit Plus (TM) (NWFP) interactive video games, and the functional outcomes (postural control, gait, cognition, mood, and fear of falling) in frail and pre-frail older adults. Methods: This study is a randomized controlled, parallel-group, feasibility trial. Participants were frail and pre-frail older adults randomly assigned to the experimental group (EG, n = 15) or control group (CG, n = 15). Participants in the EG performed 14 training sessions, lasting 50 min each, twice a week. In each training session, participants played five of 10 selected games, with two attempts at each game. Participants in the CG received general advice regarding the importance of physical activity. All participants were assessed on three occasions by a blinded physical therapist: before and after intervention, and 30 days after the end of the intervention (follow-up). We assessed the feasibility (score of participants in the games), acceptability (game satisfaction questionnaire), safety (adverse events during training sessions), and functional outcomes: (1) postural control (Mini-BESTest); (2) gait (Functional Gait Assessment); (3) cognition (Montreal Cognitive Assessment); (4) mood (GDS-15); and (5) fear of falling (FES-I). Results: Participants in the EG improved their scores in all 10 games, reported that they understood and enjoyed the tasks of the games, and presented few adverse events during the practice. There was a significant improvement in the Mini-BESTest and Functional Gait Assessment in the EG when compared with the CG (p < 0.05). Conclusion: The use of NWFP was feasible, acceptable, and safe for frail older adults and improved their postural control and gait. There were no effects on cognition, mood, or fear of falling. This trial was registered in the Brazilian Registry of Clinical Trials (RBR-823rst) on 11 June 2016.
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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 | 0.007 | 0.007 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".