Socio-demographic, psychosocial and environmental factors associated with suicidal behaviour in Indigenous Sami and Greenlandic Inuit adolescents; the WBYG and NAAHS studies
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 predictslater death by suicide.Objectives. The objective was to study associations between suicidal thoughts and suicide attempts and socio-demographic, psychosocial, and environmental factors in Sami and Greenlandic adolescents, within and between groups and gender.Methods. Working samples included 442 Sami and 399 Greenlandic Inuit (15-16-year-olds), in “The Norwegian Arctic Adolescent Health Study” (NAAHS) and “Well–being among Youth in Greenland” (WBYG). Multivariable logistic regression explored associations between suicidal behaviour and family , ethnic language , school, friendship, and suicide in close relations.Results. Across Indigenous groups, suicidal behaviour was associated with the female gender, relationships with parents, suicide of friends, and rural living. Sami adolescents in stepparent families reported more suicidal behaviour. Inuit adolescents living outside the family and with poor school performance reported more suicidal thoughts. Inuit adolescents spending less time with friends reported more attempts. Gender differences occurred in both groups.Conclusion. To Sami and Greenlandic Inuit, family and peer relations are important factors of suicidal behaviour. Prevention programmes should be sensitive to gender and bereavement.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".