Indicators of distress in families of children with cerebral palsy
Bibliographic record
Abstract
Purpose: To describe family distress as reported by parents of children with cerebral palsy (CP) and to identify factors associated with distress. Method: In this descriptive, historical cohort study, parents of school-age children (9.2 ± 2.1 years) with CP completed the Parenting Stress Index, the Impact on Family Scale and family-related items on the Child Health Questionnaire. Predictor variables considered were sociodemographic factors, motor, cognitive and behavioral difficulties and functional limitations. These were assessed using the Gross Motor Function Measure, Leiter IQ, Strengths and Difficulties Questionnaire and Vineland Adaptive Behavior Scale. Results: Parents of 95 children were recruited, of whom 45% were highly stressed and 11% defensive. Half indicated that their child’s health impacted on their time, emotional status and family activities. Family distress measures were modestly associated with motor (r = 0.30–0.48) and cognitive abilities (r = 0.29–0.37) but more strongly correlated with particular behavioral difficulties (r = −0.42 to 0.55). Activity limitations across domains were highly associated with measures of distress. Conclusions: Parents of school-aged children with CP are likely to experience high stress, increased time constraints and financial and psychological burden. Findings illustrate the need to monitor family functioning intermittently as the child develops and direct appropriate resources to optimize child and family well-being.Implications for RehabilitationSchool age is a stage of development that brings new challenges to a child with cerebral palsy.Parents of school-aged children with cerebral palsy experience high levels of stress, time constraints and emotional and financial burden.The child’s activity limitations and especially behavioral difficulties may contribute to greater family distress.Family well-being should be monitored periodically, and appropriate resources and supports provided when families are in distress.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".