Determinants of self-care participation of young children with cerebral palsy
Bibliographic record
Abstract
OBJECTIVE: To test a model of child, family and service determinants of self-care participation of children with cerebral palsy (CP), grouped by Gross Motor Function Classification System levels (I-II and III-V). METHODS: Participants were a convenience sample of 429 children (242 males) with CP, aged 18-60 months. Data on impairments and gross motor function were collected by reliable therapists; parents provided information about children's health conditions and adaptive behaviour. Seven months later parents reported on family life and services received. One year after study onset, parents documented children's self-care participation. Data from two groups of children were analysed using structural equation modelling. RESULTS: The model explained a significant proportion of the variance of self-care participation, with higher motor function, fewer health conditions and higher levels of adaptive behaviour being associated with greater self-care participation. CONCLUSION: Supporting children's gross motor function, health and adaptive behaviour may optimize self-care participation.
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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".