Factors influencing child mental health: A state‐wide survey of Victorian children
Bibliographic record
Abstract
AIMS: This study aims to estimate the prevalence of mental health problems among Victorian children and to investigate factors associated with poorer mental health. METHOD: Computer-assisted telephone interviews were undertaken with the parents of 3370 randomly selected Victorian children aged 4 to 12 years. They reported on their child's mental health and special health-care needs as well as their own mental health, family functioning and a range of community and socio-demographic variables. Population estimates and odds ratios (OR) were calculated with 95% confidence intervals (95% CI). RESULTS: Overall, 11.6% (95% CI = 10.3-12.9%) of Victorian children were estimated to be at risk of having mental health problems. Factors independently placing children at increased risk of mental health problems that were 'of concern' include a child having special health-care needs (OR = 7.89, 95% CI 5.16 to 12.08), unhealthy family functioning (OR = 3.84, 95% CI 2.19 to 6.74), parental mental health problems (OR = 7.89, 95% CI 5.16 to 12.08), neighbourhood safety (OR = 2.47, 95% CI 1.20 to 5.07) and area of residence (OR = 2.01, 95% CI 1.33 to 3.02). CONCLUSIONS: A significant proportion of Victorian children are at some risk of mental health problems. These limited but important predictors of children's mental health reinforce the need for policy solutions that will extend beyond those offered by traditional mental health service systems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".