Adolescent suicidal thoughts and behaviors: The independent effects of interpersonal violence
Bibliographic record
Abstract
BACKGROUND: While it is recognized that childhood interpersonal victimization is a predictor of suicidal thoughts and behaviors in adolescence, the independent effect of each form of victimization has rarely been quantified. Furthermore, research on child maltreatment has mainly neglected to investigate the effect of peer victimization, which is very prevalent in this developmental period. This study aimed to 1) determine the prevalence of suicidal thoughts behaviors in adolescents residing in the province of Quebec, Canada and 2) assess the independent effect of distinct forms of childhood interpersonal victimization on suicidal thoughts and behaviors. METHODS: This study used a representative sample of 6531 adolescents aged 14 to 18. Logistic regression analyses were conducted to assess the association between child maltreatment, peer victimization, and suicidal thoughts and behaviors. RESULTS: Results showed that most forms of childhood interpersonal victimization were independently associated with an increased risk of suicidal thoughts and behaviors, with child sexual abuse and peer victimization being the strongest predictors. LIMITATIONS: This study used a cross-sectional design, which does not allow us to infer temporality. Moreover, some forms of childhood trauma, such as neglect, were not examined. CONCLUSIONS: This study highlights the importance of not only considering the history of maltreatment when assessing adolescents presenting with suicidal thoughts and behaviors but also considering peer victimization.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".