Leisure activity preferences for 6‐ to 12‐year‐old children with cerebral palsy
Bibliographic record
Abstract
AIM: The objective was to describe leisure activity preferences of children with cerebral palsy (CP) and their relationship to participation. Factors associated with greater interest in leisure activities were identified. METHOD: Fifty-five school-aged children (36 males, 19 females; mean age 9 y 11 mo; range 6 y 1 mo-12 y 11 mo) with CP (Gross Motor Function Classification System [GMFCS]) level I 62%, level II 22%, level III-IV 16%; 33.3% hemiplegia, 29.6% diplegia, 25.9% quadriplegia, 11.2% other) who could complete the Preferences for Activities of Children (PAC) were recruited. RESULTS: Social and recreational activities were most preferred, and self-improvement activities were least preferred. Younger age, higher motivation, and IQ predicted interest in active-physical activities (r(2)=0.39). Negative reaction to failure was associated with less preference for social activities (r(2)=0.16), whereas increased prosocial behaviours were related to greater preference for recreational (r(2)=0.13) and self-improvement activities; the latter is also predicted by older age (r(2)=0.24). Interest in skill-based activities was greater in females and in children who were highly motivated, younger, and had greater motor limitations (r(2)=0.51). The findings suggest that personal factors and functional abilities influence leisure activity preferences. High preference for certain activities was not always associated with involvement in these activities. INTERPRETATION: Determination of preferences is inherent to child-centred practice and should, therefore, be part of the evaluation process. Rehabilitation strategies can minimize barriers to leisure participation, such as fear of failure, low motivation, or environmental obstacles.
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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) | 0.001 | 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".