Mood disorders and prospective suicidality in young adults: a population‐based cohort study
Bibliographic record
Abstract
OBJECTIVE: To assess the prospective associations of mood disorders and suicidality in a community sample of young adults from south Brazil. METHOD: Prospective population-based cohort study. Young adults (18-24 years old) were recruited and followed up on 5 years later; people were interviewed at their homes. Suicidality, as well as mood and anxiety disorders, was assessed using the Mini-International Neuropsychiatric Interview. The impact of mood episodes on suicidality was both evaluated when they occurred in the same wave (a current episode) and when suicidality occurred prospectively, with suicidality measured at follow-up (a past episode). RESULTS: The sample included 1560 young adults at baseline, with 1244 reassessed at follow-up (80.6%). Depressive episodes, both current and past, had a significant impact on suicidality in the final multivariable model. Manic episodes, however, were less consistently associated with suicidality. CONCLUSION: Depressive episodes have a strong, independent, and robust association with prospective suicidality. The association between manic episodes and suicidality, on the other hand, was dependent on the analysis and deserves further exploration.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".