Effects of Game-Based Task-Oriented Circuit Training on Physical Functions of Stroke Survivors: A Pilot Study in A State Hospital in Kelantan, Malaysia
Bibliographic record
Abstract
Despite being increasingly popular and commonly used in rehabilitation, both game-based exercise training and task-oriented circuit training have never been combined to provide a new training experience for stroke survivors undergoing rehabilitation. Past studies have assessed the effectiveness of these exercise approaches separately and reported positive outcomes. Combining the two training programs may create a more enriched environment and yield favorable outcomes. The aim of this study was to determine the effects of game-based task-oriented circuit training on the physical functions of stroke survivors. This research was a pretest-posttest experimental pilot trial involving 30 participants at post-acute and chronic stage post-stroke (mean age and standard deviation = 58.9 ± 6.6 years; mean Montreal Cognitive Assessment scoring = 23.4 ± 7.1) conducted at a state hospital in Kelantan, Malaysia between August 2019 to February 2020. All participants received game-based task-oriented circuit training using a “Checkercise Board” for 45 minutes, twice per week for 8 weeks. The outcome of the training was measured with regard to lower limb strength, functional stability and aerobic capacity, with the use of the 30-second chair rise test, Dynamic Gait Index (DGI) and 6-minute walk test, respectively. Analysis was done by the ‘intention-to-treat’ approach, using paired samples t-test to determine the differences between pre and post-training outcomes scores. All data was analyzed using the Statistics Package for the Social Sciences (SPSS), version 23.0. The significance level was set at p < 0.05 and Cohen’s (d) was used to determine the effect size. Post-training, participants’ mean 30-second chair rise test, DGI and 6-minute walk test scores increased by 9%, 7% and 23% respectively compared to pre-treatment (p < 0.05), with medium effect size of 0.5 to 0.6. Game-based task-oriented circuit training effectively improves lower limb strength, functional stability and aerobic capacity of stroke survivors, and may be used as a therapy option for this population. A future study is needed to confirm these study finding.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".