Rates, causes, and risk factors for death among justice-involved young people in Australia: a retrospective, population-based data linkage study
Bibliographic record
Abstract
BACKGROUND: Children and adolescents exposed to the youth justice system have poor health profiles, but little is known about their subsequent mortality. We aimed to examine mortality outcomes in a large, state-wide cohort of young people in Australia who had contact with the youth justice system. METHODS: We linked youth justice records in the state of Queensland, Australia from July 1, 1993, to June 30, 2014, with adult correctional records and the National Death Index, for records up to Jan 31, 2017. We calculated all-cause and cause-specific crude mortality rates per 100 000 person-years, and age-standardised and sex-standardised mortality ratios with 95% CIs. Calculations were performed for the whole cohort and in subgroups defined by sex, Indigenous status, and youth justice history. We used survival analysis to identify demographic and criminal justice factors associated with all-cause mortality. FINDINGS: Of 49 011 individuals in the study sample, 321 were excluded due to data linkage or data quality issues and 20 were excluded as they did not have an age or date of birth recorded, which resulted in 48 670 (99·3%) participants. 11 897 (24·4%) participants were female, 36 773 (75·6%) were male, and 13 250 (27·2%) were Indigenous. During a median of 13·5 years (IQR 8·4-18·4) of follow-up, we observed 1431 (2·9%) deaths among the 48 670 participants. Median age at end of follow-up was 28·6 years (IQR 23·6-33·6). The most common causes of death were suicide (495 [34·6%]), transport accidents (244 [17·1%]), and accidental drug poisoning (209 [14·6%]). The all-cause crude mortality rate was 218·9 deaths (95% CI 207·9-230·6) and the all-cause standard mortality ratio was 4·2 (3·9-4·4). In multivariable analyses, mortality rates were higher for males (adjusted hazard ratio [aHR] 1·5 [95% CI 1·3-1·7]); those who had been subject to community supervision (aHR 1·3 [1·1-1·5]), or detention (aHR 2·1 [1·8-2·4]) versus charge only; and those under adult correctional supervision in the community (aHR 1·9 [1·5-2·4]) versus unsupervised. More than half of the observed deaths occurred before 25 years of age, and very few (1·6%) occurred in custody. INTERPRETATION: Justice-involved young people are at markedly increased risk of premature death from largely preventable causes. Reducing the burden of preventable death among these young people will require coordinated, multi-sectoral responses that extend beyond the criminal justice system. FUNDING: National Health and Medical Research Council, Australia.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".