Effects of an Exergame Software for Older Adults on Fitness, Activities of Daily Living Performance, and Quality of Life
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background: As people become older, the biological process of aging leads to a decline in functional capabilities, which entails difficulties in the performance of daily tasks. Within the “Active and Assisted Living Joint Programme” a consortium from Spain, Germany, and Switzerland developed an interactive Exergame software for older adults to maintain their physical abilities and independence within the daily tasks. Subjects and Methods: An interventional study was conducted to validate the software. For 3 months, Swiss and Spanish seniors used the system at least three times a week for minimum half an hour in their homes. The physical condition in terms of maintaining or increasing strength, balance, safety, and mobility of the seniors was assessed by using the Berg Balance Scale and the Senior Fitness Test. In addition, the effect on independence within the activities of daily living was assessed by using the Canadian Occupational Performance Measure, the Performance Quality Rating Scale, and the Iconographical Falls Efficacy Scale. We used the EQ 5D to evaluate the “quality of life.” Results: Twenty-nine participants (male; n = 14; female; n = 15) completed the study. Scores of endurance (2 minutes step test; P = 0.01, η 2 = 0.3) increased significantly. Moderate effect sizes in quality of life ( r = 0.3), lower body strength (η 2 = 0.08), and large effect sizes in endurance (η 2 = 0.3) were detected. A small effect was evaluated within the gait speed ( r = 0.2), mobility in the lower body ( r = 0.2), and the balance capabilities ( r = 0.2). Conclusion: The results of this study lead us to the conclusion that physical training with activity-focused exergames that are related to the everyday tasks of older adults could help to maintain and improve the individual fitness status.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it