The association between suicidal behaviour and violence, sexual abuse, and parental substance abuse among Sami and Greenlandic adolescents: the WBYG study and the NAAHS
Bibliographic record
Abstract
Background: For young Indigenous people, suicide is one of the leading causes of death, and high rates in Arctic areas indicate serious health and societal concerns. More knowledge is needed, as suicidal behaviour predicts later death by suicide. The aim of this study was to investigate associations between suicidal thoughts and suicide attempts and negative life events, including violence, sexual abuse, and parental substance abuse, in Sami and Greenlandic adolescents, within and between groups and gender. Method: Working samples included 442 Sami and 399 Greenlandic Inuit (15-16-year-olds), in The Norwegian Arctic Adolescent Health Study (NAAHS) and the Well-Being among Youth in Greenland (WBYG) study. Multivariable logistic regression explored associations between suicidal behaviour and violence, sexual abuse, and parental substance abuse. Results: Across Indigenous groups, suicidal thoughts and attempts were significantly associated with violence and sexual abuse. The association between suicidal behaviour; especially suicidal thoughts, and sexual abuse was significant and strong among Sami females. Sami and Inuit adolescents with a history of childhood violence reported significantly more suicide attempts; the strongest association was found among Sami males. Conclusion: To Sami and Greenlandic Inuit, the experiences of negative life events, such as violence or sexual abuse are significant risk factors for suicidal behaviour. Public health programmes and prevention strategies targeting youth mental health and suicide should be culturally sensitive and sensitive to gender differences in the association between negative life events and suicidal behaviour.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".