Do the abilities of children with cerebral palsy explain their activities and participation?
Bibliographic record
Abstract
The aim of this study was to use family-assessed instruments and details of children's impairments to explore factors affecting the activities and participation of children with cerebral palsy (CP). A postal survey was conducted with families of a geographically defined population of children with CP aged 6 to 12 years. Family-assessed indices of children's activities and participation were the Activities Scale for Kids (ASK) and Lifestyle Assessment Questionnaire (LAQ-CP). Families also assessed children's abilities using the Gross Motor Function and Manual Ability Classification Systems (GMFCS; MACS). Details of children's impairments were available from the 4Child epidemiological database and used with the GMFCS and MACS as explanatory variables in multiple regression analyses to identify their effect on children's activities and participation. Families of 175/314 (56%) children returned an assessment using the GMFCS and 129 (41%) children participated fully by returning all the questionnaires. Full participants (72 males, 57 females) did not differ from those who did not take part by their age, sex, CP characteristics, or associated impairments: GMFCS Level I-25, Level II-43, Level III-15, Level IV-14, Level V-23; MACS Level I-14, Level II-30, Level III-18, Level IV-13, Level V-13. Scores for the ASK and LAQ-CP Physical Independence and Mobility domains were predicted well by children's movement, manual, and intellectual disability, and also, to some extent, by the presence of seizures or speech problems. LAQ-CP domains for Economic and Clinical Burden and Social Integration were not well explained by children's abilities and impairments. Family assessment, therefore, offers a useful method for measuring children's activities and participation; however, currently available instruments do not fully represent all the domains in the International Classification of Functioning, Disability and Health. Children's abilities only partially explain their activities and participation.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".