The health and psychosocial functioning of caregivers of children with neurodevelopmental disorders
Bibliographic record
Abstract
PURPOSE: Children with neurodevelopmental disorders (Neuro) pose complex parenting challenges, particularly if the condition co-occurs with behaviour problems. Such challenges are likely to impact caregiver health and well-being. This study explores the extent to which caregivers of children with both 'Neuro' and behaviour problems differ in their physical and psychosocial outcomes from caregivers of children with either condition or neither condition. METHOD: The first wave of data collected in the National Longitudinal Survey of Children and Youth in Canada (1994) was used to identify four groups of caregivers of 4 to 11-year-old children: caregivers of children with a 'Neuro' disorder and externalising behaviour problems (Both; n=414), caregivers of children with a 'Neuro' disorder only (Neuro Only; n=750), caregivers of children with an externalising behaviour problem only (Ext Only; n=1067), and caregivers of children with neither health condition (Neither; n=7236). RESULTS: Caregivers in the 'Both' group were least likely to report excellent or very good health, and more frequently reported chronic conditions such as asthma, arthritis, back problems, migraine headaches, and limitations in activities as compared to the 'Neither' group. This group also exhibited higher depression scores, experienced more problematic family functioning, and reported lower social support than the 'Neither' group. Scores for caregivers in the 'Ext Only' and 'Neuro Only' groups tended to lie between the 'Both' and 'Neither' group scores and often did not differ from one another. CONCLUSIONS: Caregivers of children with both neurodevelopmental disorders and behaviour problems exhibited a greater number of health and psychosocial problems. While addressing children's behaviour problems, health care professionals should also consider caregiver physical and psychosocial health as this may also have an impact on children's well-being.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".