Physical and Mental Health Issues among Homeless Youth in British Columbia, Canada: Are they Different from Older Homeless Adults?
Bibliographic record
Abstract
OBJECTIVES: Youth homelessness is on the rise in North America, yet this vulnerable population is rarely studied and compared with adults. This paper aimed to study the homeless youth and identify specific vulnerabilities, which rendered them different from the adult homeless population. It also aimed to describe the youth homeless population and their significant co-morbidities. METHODS: DATA WAS DERIVED FROM THE BC HEALTH OF THE HOMELESS STUDY (BCHOHS), CARRIED OUT IN THREE CITIES IN BRITISH COLUMBIA, CANADA: the large urban centre Vancouver (n=250); the mid-sized city and capital of the province Victoria (n=150). Measures included socio-demographic information, the Maudsley Addiction Profile (MAP), the Childhood Trauma Questionnaire (CTQ) and the Mini International Neuropsychiatric Interview (MINI) Plus. RESULTS: Youth constituted 16.5% (n=82) of the homeless population. Compared to the adult homeless, the homeless youth were more often female (55%), were Aboriginal (47.6%), had greater substance abuse of alcohol (70.7%), amphetamines (8.5%) and cannabis (75.6%). A lower prevalence of sexually transmitted diseases (0.2%) and psychotic disorders (13.4%) was also observed. The prevalence of traumatic experiences, other psychiatric disorders and physical illnesses were similar between the adult and homeless youth. CONCLUSION: Homeless youth have high rates of physical and psychiatric comorbidity, similar to the adult homeless, despite being 20 years younger. An urgent need for interventions that go beyond the standardized ones being offered to homeless populations as a whole, and to derive specific strategies that target this vulnerable population is required.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".