Relation between physical fitness and gross motor capacity in children and adolescents with cerebral palsy
Bibliographic record
Abstract
AIM: To examine the relation between physical fitness and gross motor capacity in children with cerebral palsy (CP) who were classified in Gross Motor Function Classification System levels I or II. METHOD: In total, 68 children with CP (mean age 12y 1mo, SD 2y 8mo; 44 males, 24 females; 45 classified as having spastic unilateral CP, 23 as having spastic bilateral CP) participated in this study. All participants performed a maximal aerobic exercise test (10m Shuttle Run Test), a short-term muscle power test (Muscle Power Sprint Test), an agility test (10x5m sprint test), and a functional muscle strength test (30s repetition maximum) within 2 weeks. Gross motor capacity was concurrently assessed using dimensions D (standing) and E (walking, running, and jumping) of the 88-item version of the Gross Motor Function Measure (GMFM). RESULTS: No relation between aerobic capacity, body mass index, and dimensions D and E of the GMFM was found. The correlations between short-term muscle power, agility, functional muscle strength, and dimensions D and E of the GMFM were moderate to high (r approximately 0.6-0.7). INTERPRETATION: The relations found between short-term muscle power, agility, functional muscle strength, and gross motor capacity indicate the importance of these components of physical fitness, and may direct specific interventions to maximize gross motor capacity in children and adolescents with CP.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".