Trends and Disparities in Suicidality Among Heterosexual and Sexual Minority/Two-Spirit Indigenous Adolescents in Canada
Bibliographic record
Abstract
PURPOSE: To explore trends in sexual orientation group differences in suicidality among Indigenous adolescents and evaluate whether gaps between heterosexual and sexual minority/Two-Spirit adolescents have changed over time. METHODS: Leveraging pooled school-based population data from five waves of the British Columbia Adolescent Health Survey (1998-2018), we used age-adjusted logistic regression models, separately for boys and girls, to examine 20-year trends and disparities in past year suicidal ideation and suicide attempts among heterosexual and sexual minority/Two-Spirit Indigenous adolescents (N = 13,788). RESULTS: Suicidal ideation increased among all sexual orientation groups in 2018 compared to previous survey waves. Suicide attempts spiked for heterosexual girls in 2003, remained stable for heterosexual boys, and decreased for sexual minority/Two-Spirit boys and girls over time. Compared to their heterosexual peers, sexual minority/Two-Spirit boys had higher odds of suicidal ideation since 1998, whereas sexual minority/Two-Spirit girls had higher odds of suicidal ideation since 2003. Sexual minority/Two-Spirit (vs. heterosexual) boys were approximately 4-7 times more likely to attempt suicide since 2008, whereas sexual-minority/Two-Spirit (vs. heterosexual) girls were approximately 3-4 times more likely to attempt suicide since 2003. These gaps in suicidality were persistent across time. DISCUSSION: Sexual minority/Two-Spirit Indigenous adolescents are at an elevated risk for suicidality compared to their heterosexual Indigenous peers. While trends of suicidal ideation worsened for all Indigenous adolescents, suicide attempts either lessened or remained stable over time. Greater efforts are needed to help reduce suicidality among Indigenous adolescents in Canada, especially among sexual minority/Two-Spirit young people.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".