Physical Activity Levels and Adiposity in Ambulant Children and Adolescents With Cerebral Palsy Compared With Their Typically Developing Peers
Bibliographic record
Abstract
PURPOSE: This study assessed physical activity (PA) and body composition of ambulatory children and adolescents with cerebral palsy (CP) and their typically developing peers. METHODS: Participants included youth with CP (ages 8-18 y and Gross Motor Function Classification System [GMFCS] levels I-III) and their typically developing peers. Outcomes included PA (actigraphy) and fat/lean mass index (FMI/LMI; dual-energy X-ray absorptiometry). Statistical analyses included linear mixed effects models with Bonferroni adjustment. Fixed effects were study group (CP and typically developing); random effects were participant clusters (sex and age). Exploratory analyses included association of body composition and PA, GMFCS level, and CP involvement (unilateral and bilateral). RESULTS: Seventy-eight participants (CP: n = 40, girls: n = 29; GMFCS I: n = 20; GMFCS II: n = 14; GMFCS III: n = 6) met inclusion criteria. Individuals with CP had lower moderate to vigorous PA (MVPA; β = -12.5; 98.3% confidence interval, -22.6 to -2.5 min; P = .004) and lower LMI (β = -1.1; 97.5% confidence interval, -2.1 to -0.0 kg/m2; P = .020). Exploratory analyses indicated increased LMI with greater MVPA (P = .001), reduced MVPA for GMFCS II (P = .005) and III (P = .001), increased sedentary time for GMFCS III (P = .006), and greater fat mass index with unilateral motor impairment (P = .026). CONCLUSIONS: The findings contribute to the knowledge base of increasing MVPA and LMI deficits with the greater functional impact of CP. Associations of increasing LMI with greater MVPA support efforts targeting enhanced PA participation to promote independent mobility.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".