Key demographic and mental disorder diagnostic differences between Australian First Nations and non-First Nations clinic-referred children and adolescents assessed in a culturally appropriate and safe way
Bibliographic record
Abstract
Objective: Increased point prevalence rates of oppositional defiant disorder and conduct disorder have been reported in American Indian and Canadian First Nations children and adolescents. To date, in Australia, there has been no published examination of standardized Diagnostic and Statistical Manual mental disorder diagnoses in First Nations children and adolescents, determined after addressing key cultural methodological issues. Methods: In all, 113 First Nations children and adolescents and 217 non-First Nations young people, aged 6–16 years, age, gender, mental disorder symptom severity, symptom-linked distress and impairment matched were recruited in a case control study. Also, 112 typically developing non-First Nations participants, age and gender matched to the other two clinical groups as a second comparison group were recruited. Diagnostic and Statistical Manual mental disorder diagnoses via semi-structured clinical interview, social adversity status and full scale IQ were determined in all participants with cultural validity and reliability of the impairing patterns of symptoms in First Nations young people determined by First Nations mental health staff and Aboriginal Health Liaison Officers. Full scale IQ and social adversity status were appropriately controlled in the Logistic Regression analyses of Diagnostic and Statistical Manual mental disorder diagnoses between the two clinical groups. Results: Oppositional defiant disorder was the only diagnostic and statistical manual mental disorder diagnosis that differed between the First Nations and non-First Nations clinical groups, adjusting for confounding by social adversity status and full scale IQ in the multivariable model. The point prevalence of oppositional defiant disorder was 2.94 times higher (95% confidence interval: 1.14–7.69) among the First Nations compared to the non-First Nations clinical group. Conclusion: Key known risk factors for oppositional defiant disorder can be identified early and holistically managed in First Nations young people. This will prevent oppositional defiant disorder decreasing their access to mental health services and increasing their involvement in the criminal justice system. In addition, the resilience building aspects of oppositional defiant disorder that may enhance self-respect need to be nurtured.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".