Trajectories of suicide ideation and nonsuicidal self-injury among adolescents in mainland China: Peer predictors, joint development, and risk for suicide attempts.
Bibliographic record
Abstract
OBJECTIVE: This study expanded knowledge about the development of suicide ideation and nonsuicidal self-injury (NSSI) among adolescents by investigating (a) peer experiences as predictors of trajectories of suicide ideation and NSSI, (b) the joint development of suicide ideation and NSSI, and (c) the risk for suicide attempts (SA) across joint trajectories of suicide ideation and NSSI. METHOD: At baseline, 565 tenth-grade Chinese adolescents (48.3% males) reported depressive symptoms and friend support. Moreover, peer victimization and friendships were assessed using a sociometric procedure. After baseline, participants completed measures of suicide ideation, NSSI, and SA every 3 months for 2 years. RESULTS: Three similar trajectories of suicide ideation and NSSI were identified. After accounting for depressive symptoms, peer victimization differentiated adolescents in the high trajectory of suicide ideation and NSSI from those in the low and moderate trajectories of suicide ideation and NSSI, respectively. Friend support and friendlessness distinguished between the high and low and the moderate and low NSSI trajectories, respectively. Joint trajectory models revealed a strong overlap between the course of suicide ideation and NSSI: Adolescents in the chronically high suicide ideation trajectory were at the highest risk to follow a chronically high NSSI trajectory and vice versa. Finally, adolescents in the joint chronically high trajectory were approximately 5 times more likely to report SA than were their peers, above and beyond prior SA. CONCLUSIONS: Findings highlight the role of negative peer experiences as risk factors for NSSI and suicide ideation, which, in turn, can potentially increase risk for SA. (PsycINFO Database Record
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".