Psychosocial adjustment and physical health of children living with maternal chronic pain
Bibliographic record
Abstract
AIM: There is limited research examining the functioning of children living with parental chronic pain and illness. The aim of this study was to examine the psychosocial adjustment and physical health of children living with a mother experiencing chronic pain. METHODS: One-hundred and three children aged 6-12 years served as participants, with approximately equal numbers of children in maternal chronic pain (n=55) and control groups (n=48). Children completed self-reports about their internalising behaviour, health and attachment security. Mothers, fathers and teachers completed questionnaires relating to children's internalising and externalising behaviour, social behaviour and physical health. RESULTS: Reports from children, mothers and fathers indicated significantly more internalising, externalising, insecure attachment and social and health problems for children in the maternal chronic pain group compared with control children. Teachers reported decreased social skills and increased pain complaints for children in the maternal chronic pain group. Boys in the maternal chronic pain group appear to be affected more than girls. Boys reported more anxiety and insecure attachment, while mothers reported greater social problems and increased illness behaviour for boys. Characteristics of the mother's pain condition, such as, severity, length and frequency were generally unrelated to child functioning. CONCLUSIONS: The study demonstrates the importance of maternal and family variables to child outcomes. The results are discussed in terms of maternal chronic pain comprising a considerable, yet rarely studied, influence in the lives of young children.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".