Childhood factors predict participation of young adults with cerebral palsy in domestic life and interpersonal relationships: a prospective cohort study
Bibliographic record
Abstract
Purpose: To determine childhood predictors of participation in domestic life and interpersonal relationships of young adults with cerebral palsy (CP).Materials and methods: This 13-year follow-up of an existing cohort (baseline age 9–13 years) included 67 young adults with CP (age 21–27 years). The Vineland adaptive behavior scales (VABS) and Life Habits questionnaire were used to assess attendance and difficulty in participation in domestic life and interpersonal relationships. Baseline factors were categorised according to the international classification of functioning, disability, and health. Stepwise multiple linear regression analyses determined significant predictors (p < 0.05).Results: Lower manual ability, intellectual disability (ID), epilepsy and lower motor capacity predicted decreased future participation in domestic life, and/or interpersonal relationships (explained variance R2 = 67–87%), whereas no association was found with environmental and personal factors. Extending models with baseline fine motor skills, communication, and interpersonal relationships increased R2 to 79–90%.Conclusions: Childhood factors account for 79–90% of the variation in young adult participation in domestic life and interpersonal relationships of individuals with CP. Children with limited motor capacity, low manual ability, ID, or epilepsy are at risk for restrictions in participation in young adulthood. Addressing fine motor, communication, and social skills in paediatric rehabilitation might promote young adult participation.Implications for rehabilitationChildhood risk factors for limited participation in domestic life and interpersonal relationships as a young adult with CP are ID, epilepsy, low manual ability, low motor capacity, and low activity & participation levels.In line with current practice, this study confirms the importance of addressing gross and fine motor skills in children with CP for their future participation in domestic life.In addition, results suggest that addressing communication and social skills during paediatric rehabilitation may optimise future participation in interpersonal relationships.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".