A longitudinal study of adolescent pathways differentiating suicide ideation and attempt in early adulthood
Bibliographic record
Abstract
OBJECTIVE: Suicide ideation and attempt are leading risk factors for mortality in young adults. However, the adolescent risk factors distinguishing suicide ideation from attempt in young adults remain unclear. The present study aimed to examine the extent to which within-person stability and change in depressive symptoms, school difficulties, and peer victimization from ages 12 to 17 were differentially associated with later suicide ideation and attempt from ages 20 to 23. METHOD: The study included 1647 participants from the Quebec Longitudinal Study of Child Development (QLSCD; 52% female). Participants reported on their depressive symptoms, school difficulties, and peer victimization at ages 12, 13, 15, and 17, and on suicide ideation and attempt at ages 20 and 23. Data were collected in the Province of Quebec, Canada, between 2010 and 2021. RESULTS: Results indicated that 11% (N = 121) and 8% (N = 86) reported suicide ideation and attempt, respectively, between ages 20 and 23. A random-intercept cross-lagged panel model showed that within-person increases in depressive symptoms during adolescence were related to both suicide ideation and attempt, whereas within-person increases in school difficulties and peer victimization were for the most part related to suicide attempt only. Within-person stability in depressive symptoms from ages 12 to 17 years were also related to suicide attempt, and not ideation. However, this association was only marginally significant. CONCLUSION: Findings suggest that experiencing unusual rises in school difficulties and peer victimization during adolescence, as well as depressive symptoms persisting over time, may distinguish young adults who think about suicide from those who attempt suicide.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.001 |
| 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".