Active Start Active Future: Feasibility of a Behaviour-Change Intervention to Reduce Sedentary Behaviour and Promote Physical Activity in Young Children with Cerebral Palsy
Bibliographic record
Abstract
Children with cerebral palsy (CP) have low physical activity (PA) and high sedentary behavior. The aim was to trial a participation-focused behavior-change intervention to increase PA and decrease sedentary behavior. Twelve children with CP were recruited (mean age 5 years 6 months ± 1 year 2 months, Gross Motor Function Classification System [GMFCS] levels I = 1, II = 1, III = 1, IV = 4, V = 5); eight with complete post-intervention data (mean 5 years 10 months ± 1 year 4 months, GMFCS I = 1, III = 1, IV = 4, V = 2). Children received 8 weekly sessions targeting individualized PA participation goals in a pre-post feasibility trial. Outcomes included: implementation, effectiveness (Canadian Occupational Performance Measure [COPM]), device-measured PA, goal confidence, quality of life, and barriers to PA participation. Semi-structured interviews explored acceptability and were analyzed thematically. Implementation was feasible with ≥90% sessions attended and high enjoyment (89.5%). After 8 wk, COPM goal performance (mean difference [MD] = 2.9, 95% CI 0.7, 5.0; p = 0.02), satisfaction with performance (MD = 3.0, 95% CI 1.6, 4.4; p = 0.002), and confidence (MD = 1.4, 95% CI 0.4, 2.5; p = 0.02) significantly increased with no change in other outcomes. All six caregivers interviewed reported the intervention to be acceptable. Active Start Active Future was feasible to conduct, acceptable and showed preliminary evidence to improve PA in young children with CP.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".