Comparing the Effects of a Novel and a Traditional Proprioceptive Balance Training Program on Activity Adherence and Balance Control in a Healthy University Population: A Preliminary Study
Bibliographic record
Abstract
OBJECTIVE: This study explored balance performance and participant adherence to either the Wii Fit™ (Nintendo of America, Redmond, WA) or a proprioceptive BOSU(®) (Ashland, OH) ball balance program. MATERIALS AND METHODS: Twenty university-aged participants were randomly allocated to either a Wii Fit or BOSU ball balance training program. Participants engaged in one of the two training regimens for 20 minutes, three times a week, for 4 weeks. Adherence was measured by recording attendance and time spent at each session. Motivational factors associated with adherence were assessed using the Physical Activity Enjoyment Scale. Balance was measured using a stabilometer. RESULTS: No significant difference in participant adherence was found between the groups. Significantly higher levels of activity enjoyment were reported from participants assigned to the Wii Fit intervention, and a positive correlation was found between physical activity enjoyment and adherence. A significant main effect for time demonstrating improved balance scores for both groups was found. No significant interaction between program type and time was found. DISCUSSION: Although both interventions led to balance improvements, Wii Fit participants reported significantly higher levels of activity enjoyment. Although these higher levels of enjoyment did not lead to a statistically significant difference between the groups with regard to the number of sessions attended, participants assigned to the Wii Fit group spent more time engaged in the balance training activities than those allocated to the BOSU group. Although this study is preliminary and has the limitations of being statistically underpowered and dissimilar from the unsupervised home-based programs often prescribed by health professionals, results suggest that exergaming-based balance training may be an important adjunct to traditional training programs.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".