Youth with chronic health problems: how do they fare in main-stream mentoring programs?
Bibliographic record
Abstract
BACKGROUND: Youth with chronic physical health problems often experience social and emotional problems. We investigate the relationship between participation in the Big Brothers Big Sisters of Canada community-based mentoring programs (BBBS) and youth social and mood outcomes by youth health status. METHODS: Youth newly enrolled in BBBS were classified by health status (one or more chronic physical health problems without activity limitation, n = 191; one or more chronic physical health problems with activity limitation, n = 94; no chronic health problem or activity limitation, n = 536) and mentoring status (yes/no) at 18 month follow-up. Youth outcomes measured at follow-up were social anxiety, depressed mood, and peer self-esteem. RESULTS: Youth with chronic health problems and activity limitation were more likely to live with two biological parents, use mental health or social services, and have parents who reported difficulties with depressed mood, social anxiety, family functioning and neighbourhood problems. At 18 month follow-up, mentored youth in this health status group experienced fewer symptoms of social anxiety and higher peer self-esteem compared to non-mentored youth. Mentored youth with chronic health problems without activity limitation and mentored youth with no health problems or limitations did not show significant improvements in social anxiety and peer self-esteem. Regardless of their health status, mentored youth reported fewer symptoms of depressed mood than non-mentored youth. CONCLUSIONS: Youth with chronic health problems, particularly those with activity limitation as well, demonstrate a capacity to experience social and mood benefits associated with mentoring.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".