Health Outcomes of Sexual-Minority Youth in Canada: An Overview.
Bibliographic record
Abstract
OBJECTIVES: The objectives of this review are to (1) document health outcomes among sexual-minority youth (SMY) in Canada; and (2) identify sexual-minority-specific risk and protective factors. DATA SOURCES: We conducted a review of Canadian data published after 2005 on the mental, physical and sexual health outcomes of SMY using relevant keywords. A total of 19 empirical studies and 2 research reports was included. DATA SYNTHESIS: The study reviewed included 53 to 30 588 respondents (total = 81 567). SMY counted for 15.86% of the total sample. Overall, SMY in Canada show negative health outcomes in proportions varying from 7% to 69.4%, the most common issues being psychological distress and maladjustment. SMY are more likely than their heterosexual peers to report psychological distress/malfunctioning, suicidality, substance misuse, condomless intercourse, pregnancy involvement. Main SMY-specific risk factors were family rejection of one's minority sexual orientation, homophobic bullying and victimization, and internalized homophobia. Among the few protective factors that were reported, school and family connectedness, school safety, parental support and sports involvement decreased the odds of negative health outcomes. CONCLUSIONS: Canadian data show that SMY are more likely to experience negative health outcomes than their heterosexual peers. These results are consistent with data from around the world. Recommendations for research and intervention are discussed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.017 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| 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".