Perceived Needs for Mental Health Care Among Emerging Adults With Cancer
Bibliographic record
Abstract
The challenges of living with cancer can compound the normative stresses of navigating emerging adulthood and have long-term psychiatric consequences. However, there is a lack of information on the mental health services required by this potentially vulnerable group of young people. This study estimated the prevalence of mental disorder among emerging adults (EAs) with cancer and examined their perceived needs for mental health care. Data from 5,590 individuals (15–29 years) who participated in the Canadian Community Health Survey—Mental Health were used in the analyses. The prevalence of mood or substance use disorder among those with cancer ( n = 42) was 42.9% compared to 32.2% among controls. EAs with cancer had higher odds of reporting unmet perceived needs for mental health care, OR = 7.72, 95% CI [1.85, 28.57]. This suggests an opportunity to improve future health services aimed at addressing the mental health care needs for EAs with cancer and potentially, other long-term chronic conditions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".