Neuroticism and extraversion as predictors of first-lifetime onsets of depression, anxiety, and suicidality in high-risk adolescents
Bibliographic record
Abstract
Abstract There is substantial evidence that personality traits, in particular neuroticism and extraversions predict depressive and anxiety episodes as well as suicidal ideation. However, little research has examined whether these traits predict the first onset of depressive and anxiety disorders and suicidal ideation. Moreover, the few studies to date have not adjusted for pre-existing subthreshold symptoms, assessed dimensionally. In this study, 144 adolescents were assessed at baseline, 9-, and 18-month follow-ups. Neuroticism and extraversion were assessed via self-report, and depressive and anxiety disorders and suicidal ideation were assessed with diagnostic interviews. Adjusting for age, sex, and baseline symptoms, logistic regression analyses showed that neuroticism predicted the first onset of depressive disorders. However, neither neuroticism nor extraversion predicted first onsets of anxiety disorders, extraversion did not predict depressive disorders, and neither trait predicted suicidal ideation onset or severity after adjusting for baseline symptoms. Neuroticism and extraversion may respectively predispose youth to depressive or anxiety disorders but not to suicidal ideation over and above pre-existing symptoms. Results have implications for the early identification of at-risk youth and prevention of depressive and anxiety disorders and suicidal ideation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".