Relationship between school bullying and non-suicidal self-injury behaviors in adolescents with depressive disorders： the pathways of self-esteem and alexithymia
Bibliographic record
Abstract
BackgroundNon-suicidal self-injury （NSSI） behaviors are common among adolescents with depressive disorders， and school bullying is recognized as a major risk factor. Previous research has shown that self-esteem and alexithymia are closely associated with both school bullying and NSSI. However， the mediating roles of self-esteem and alexithymia in the link between school bullying and NSSI are unclear.ObjectiveTo explore the mediating roles of alexithymia and self-esteem in the relationship between school bullying and NSSI behaviors in adolescents with depressive disorders， in order to inform intervention strategies targeting NSSI in this population.MethodsA total of 335 adolescents diagnosed with depressive disorders and treated at the First Psychiatric Hospital of Harbin from July 2023 to October 2024 were enrolled. Assessments included a self-developed demographic questionnaire， Adolescent Non-suicidal Self-injury Assessment Questionnaire-Behavior （ANSAQ-B）， Delaware Bullying Victimization Scale-Student （DBVS-S）， Rosenberg Self-Esteem Scale （RSES）， and 26-item Toronto Alexithymia Scale （TAS-26）. Pearson correlation analysis was used to examine the relationship among variables. Controlling for gender and age at onset of depressive symptoms， mediation analysis was performed using the “mediation” package in R 4.4.2.ResultsScores on DBVS-S and TAS-26 were positively correlated with ANSAQ-B score （r=0.408， 0.417， P<0.01）， while RSES scores were negatively correlated（r=-0.300， P<0.01）. Regression analysis showed that school bullying and alexithymia significantly positively predicted NSSI behaviors （B=0.212， 0.333， P<0.01）， while self-esteem negatively predicted NSSI behaviors （B=-0.368， P<0.01）. Alexithymia was found to mediate the relationship between school bullying and NSSI behaviors， with an indirect effect of 0.040 （95% CI： 0.018~0.069） ，account for 17.17% of the total effect. The indirect effect through self-esteem was not statistically significant （95% CI： -0.004~0.069）.ConclusionExposure to school bullying and high levels of alexithymia are important predictors of NSSI behavior in adolescents with depressive disorders， and school bullying may indirectly influence NSSI behavior through alexithymia. ［Funded by Scientific Research Project of Health Commition of Heilongjiang Province，（number， 20230303090154］
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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 | 0.001 | 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".