Health-related quality of life among adolescents and young adults with mood and anxiety concerns
Bibliographic record
Abstract
OBJECTIVES: To characterize health related quality of life (HRQOL) for Canadians aged 16 to 25 (adolescents and young adults, AYAs) seeking care for mood and anxiety concerns at the First Episode Mood and Anxiety Program, in London, Ontario and to identify factors associated with HRQOL in this population. METHODS: AYAs completed demographic, psychometric, and HRQOL questionnaires. We calculated 36-Item Short-Form Health Survey (SF-36) scores standardized to Canadian and US population norms. We computed Short Form 6 Dimension (SF-6D) utilities conducting multivariable linear regression analysis, adjusting for age, sex, ethnoracial minority status, parental marital/cohabitation status, parental education, the Anxiety Sensitivity Index (ASI-R), Montgomery-Åsberg Depression Rating Scale Self-Report (MADRS-S), Sheehan Disability Scale (SDS), and a modified Inventory of College Students' Recent Life Experiences (ICSRLE-M). RESULTS: Amongst 182 AYAs who completed questionnaires, mean physical component summary (PCS), mental component summary (MCS) and SF-6D utility scores were low, 43.8 (SD = 16.6), 19.0 (SD = 11.9) and .576 (SD = .074), respectively. Maternal post-secondary education, depression (MADRS-S) and functional impairment (SDS) were significantly associated with SF-6D utility. CONCLUSION: This cohort of mental healthcare-seeking AYAs had significantly impaired psychometric and utility-based measures of quality of life, underscoring the importance of timely access to healthcare services for this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".