Childhood Trauma and Non-Suicidal Self-Injury Among Chinese Adolescents: The Chain-Mediated Role of Alexithymia and Rumination
Bibliographic record
Abstract
OBJECTIVE: To explore the associations between childhood trauma, alexithymia, rumination, and non-suicidal self-injury (NSSI) among adolescents and to provide theoretical and empirical evidence for effective prevention, identification, and intervention of NSSI in the future. METHODS: Questionnaires, including the Childhood Trauma Questionnaire, the twenty-item Toronto Alexithymia scale, the Ruminative Responses Scale, and the Adolescents Self-Harm Scale, were given to 1,270 Chinese teenagers. The mediating role was simulated utilizing Amos 24.0. RESULTS: The Pearson's product-difference correlation analyses indicated the two-by-two significant correlations between childhood trauma, alexithymia, rumination, and NSSI. The structural equation modeling suggests that alexithymia and rumination partially mediate between childhood trauma and NSSI in teenagers, respectively. Additionally, it reveals that alexithymia and rumination chain mediate between childhood trauma and NSSI. CONCLUSION: The study confirms the impact of childhood trauma on adolescents' NSSI and also highlights the mediating role of alexithymia and rumination between the two. This study enriches the findings of NSSI and provides a theoretical basis for preventing and intervening in dysfunctional behaviors among adolescents.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".