The impact of recreational dance on the performance of upper limb and functional mobility tasks for adults with physical and/or intellectual disabilities
Bibliographic record
Abstract
Beyond traditional therapy, adults living with disability have limited access to specialized physical activity (PA) programming. The present study explored the motor performance of adults diagnosed with physical and/or intellectual disability in an existing specialized dance program. The program uses rhythmic movement and dance techniques to train balance, coordination, kinesthetic awareness, strength and flexibility. Six adults with disability (Mean age = 33) participated in 30 weekly sessions. Changes in functional mobility and balance were assessed using the Berg balance scale (BBS) and Timed Up and Go (TUG) tests at three time points: pre, mid, and post-training. Changes in upper limb performance were assessed using a reciprocal Fitts task (IDs 3 and 4) at the mid and final assessment sessions. Fitts' task outcome measures were reaction time (RT) and movement time (MT). No meaningful differences in the BBS were observed. TUG performance improved an average of 39% (6.6 s) at mid-training; performance was maintained at the post-training assessment. Fitts' task performance improved with RT decreasing by 34% for ID3 (mid-training =302ms±172; post-training=214ms±89) and 46% for ID4 (mid-training=400ms±373; post-training=250ms±87). MT for ID3 demonstrated a 31% decrease (mid-training=700ms±685; post-training=512ms±125) and ID4 a 24% decrease (mid-training=824ms±685 and post-training=646ms±220). These findings indicate improved mobility/balance and upper limb performance. The results of this pilot study suggest that individuals living with motor and/or cognitive disability may benefit from the dance training. Future work will consider the specific effects of rhythm as it relates to diagnosis and changes in motor performance.Acknowledgments: Many thanks to Canada's Royal Winnipeg Ballet School, the participants and caregivers/assistants, and Joseph Lo and Natalie Manicotto for their assistance with data collection.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".