Upper Limb Capacity, Performance, and Leisure Participation in Children with Unilateral Cerebral Palsy
Bibliographic record
Abstract
Children with unilateral cerebral palsy (uCP) experience pronounced sensorimotor impairments on one side of the body, impacting upper limb (UL) use and leisure participation. This study compares UL performance in children with uCP and typically developing (TD) children and examines, within the uCP group, the association between UL capacity, UL performance, and leisure participation. Twenty-one children with uCP (age: 11.2 ± 1.8 years) and 30 TD children (age: 10.6 ± 2.1 years) were recruited. UL performance was measured using accelerometry and expressed in activity counts per minute, UL capacity with the Jebsen–Taylor Hand Function Test, and leisure participation with the Children’s Assessment of Participation and Enjoyment questionnaire. The uCP group showed markedly lower performance in their non-dominant side compared to the TD group (p < 0.001, ηp2 = 0.57), while dominant-side performance showed no significant difference between groups. UL capacity, UL performance, and leisure participation were not correlated (r range: −0.06–0.20). Children with uCP remained active despite UL asymmetry. The lack of significant association between UL capacity, performance, and participation may reflect contextual factors. These findings highlight the importance of complementing accelerometry with measures capturing other dimensions of motor function (e.g., fine motor skills) for a more comprehensive assessment of real-world UL performance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".