Clinical and maternal factors associated with pain and quality of life in children with cerebral palsy
Bibliographic record
Abstract
Background: Cerebral palsy (CP) represents the most common and disabling motor disorder in childhood. It can lead to chronic pain and reduced quality of life (QOL). These challenges can also affect mothers, who are typically the primary caregivers, contributing to physical and psychosocial strain.Objectives: This study explored the associations between motor impairment, chronic pain, and QOL in children with CP, as well as maternal stress and pain intensity, and examined their mediating roles.Method: A cross-sectional study was conducted with 132 mother–child dyads in Tunisia. Children were aged 4 to 12 years. The Gross Motor Function Classification System, the Cerebral Palsy Quality of Life Questionnaire, the Visual Analogue Scale, and the Perceived Stress Scale were used to assess motor impairment, quality of life, and chronic pain intensity in children with CP, as well as maternal pain intensity and stress.Results: Motor impairment was significantly associated with lower child QOL (β = −0.671; SE = 0.657, p 0.001) and higher pain intensity (β = 0.5; SE = 1.213, p 0.001). Maternal stress partially mediated the relationship between motor impairment and child QOL (Sobel test = −4.073; p 0.001). Maternal pain also partially mediated the relationship between motor impairment and child pain (Sobel test = 2.505; p = 0.012).Conclusion: These findings highlight the significant impact of motor impairment on QOL and chronic pain intensity in children with CP.Contribution: This study emphasises the mediating roles of maternal stress and pain intensity, suggesting that interventions should address both the physical symptoms of CP and the psychosocial well-being of children and their mothers.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".