The association between childhood trauma and suicidal ideation in medical students: the role of alexithymia and resilience
Bibliographic record
Abstract
Objective: To reveal the association between childhood trauma and suicidal ideation in medical students and explore the potential mediating roles of alexithymia and psychological resilience. Methods: Based on a cross-sectional survey conducted at a medical university in Anhui Province, 2,377 medical students were included. Assessments were performed using the Childhood Trauma Questionnaire, the Toronto Alexithymia Scale, the Resilience Scale, and the Suicidal Ideation Scale. Results: Our results showed that childhood trauma significantly increased the risk of suicidal ideation in medical students (β=0.500, 95% CI: [0.470, 0.540]; The association was mediated by an alexithymia-resilience chain (mediating effect β=0.03, 95% CI: [0.029,0.040]. Conclusion: Emphasizing attention to medical students' childhood trauma experiences, focusing on enhancing their emotion-processing abilities, and promoting psychological resilience represent effective strategies for preventing suicide risk in this population.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".