Introversion, Alexithymia, and Hostility: A Path Analysis From Personality to Suicidal Ideation Among University Students
Bibliographic record
Abstract
PURPOSE: The aim of the current study was to investigate the relationship between state (i.e., hostility) and trait (i.e., social detachment, alexithymia) psychological constructs associated with suicidal ideation among university students. METHODS: A group of 190 university students was consecutively recruited in the period between September 2022 and March 2023. After a clinical interview, a series of psychological tests were administered: the Cattell's 16-Personality Factors Questionnaire (16PF), the Toronto Alexithymia Scale (TAS-20), the Symptom Checklist-90-R (SCL-90-R), and the anamnestic form of the Cognitive Behavioral Assessment (CBA2.0), which contains a specific question regarding the suicidal ideation. RESULTS: The analyses demonstrated that alexithymia fully mediated the relationship between a particular aspect of introversion (social detachment or low warmth) and hostility which, in turn, seemed to be a significant predictor of suicidal ideation. CONCLUSIONS: The path analysis conducted seemed to highlight the importance of personality traits, such as social detachment and the ability to recognize and express one's internal states, on the mental health of university students in terms of hostility and suicidal ideation. Considering that the reduction of suicide mortality has been prioritized as a global target in the 15-19 age group, identifying the psychological factors associated with it is fundamental.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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 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".