Autonomy in participation of young people with cerebral palsy during the transition to adulthood
Bibliographic record
Abstract
Abstract Aim To describe autonomy levels and explore factors associated with autonomy in participation of Brazilian young people with cerebral palsy (CP). Method This cross‐sectional study included the following International Classification of Functioning, Disability and Health‐informed variables: body functions—cognition; personal factors—age, sex, education, perceived self‐efficacy; environmental factors—family income, parents' education; activity—gross motor, manual, and communication classifications; participation—autonomy (Rotterdam Transition Profile). Analysis of variance and linear multiple regression models were fitted. Results A total of 114 young people with CP participated (mean age 25 years 11 months [SD 11 years], 67 females). Transitional or complete autonomy in participation has been demonstrated in most life areas. Romantic relationships and sexuality were the areas with the lowest autonomy levels, while rehabilitation and leisure showed high autonomy levels. Participant's age ( β = 0.9187; p < 0.001; 95% confidence interval: 3.3–5.8) and perceived self‐efficacy ( β = 1.6174; p = 0.044; 95% confidence interval: 0.002–2.1) were associated with autonomy level ( R 2 adj = 0.522). Autonomy levels tended to increase with higher self‐efficacy and age. Interpretation Personal factors appear to play a central role in the acquisition of autonomy in participation during transition to adulthood of young people with CP. More attention to personal factors and strategies is needed to support personal development favouring the acquisition of autonomy to participate in different life areas.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".