Maternal factors and the emotional and behavioural functioning of adolescents with chronic health conditions
Bibliographic record
Abstract
PURPOSE: This study investigated the association between mothers' mental health and education and the emotional and behavioural functioning of adolescents with chronic health conditions over time. METHODS: Data were drawn from an ongoing study. Study participants (N = 363) were recruited through eight children's rehabilitation centres. Logistic regression models were estimated. RESULTS: There were significantly reduced odds that girls would display clinical signs of hyperactivity/inattention one year later compared to boys when a maternal mental health condition was present (OR = 0.10; p < 0.01). Where low maternal education was present, girls were more likely to display peer relationship problems one year later (OR = 3.72; p < 0.01). For both genders, having a mother with less than a high school education was also associated with conduct problems one year later (OR = 2.89; p < 0.01). CONCLUSIONS: Findings support a link between maternal factors and emotional and behavioural functioning in adolescents with chronic conditions. A holistic and family-centred approach to assessment and service delivery is indicated. Implications for Rehabilitation When conducting clinical assessments, service providers should consider associations between maternal education and mental health and the emotional and behavioural functioning of adolescents with chronic health conditions. A holistic and family-centred approach to assessment and service delivery is indicated to ensure adolescents with chronic conditions and their families receive support for interrelated needs.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".