Cross-sectional study of cybervictimisation and non-suicidal self-injury among college students in China: a chain mediation effect of emotion dysregulation and social exclusion
Bibliographic record
Abstract
OBJECTIVES: This study aimed to elucidate the relationship between cybervictimisation and non-suicidal self-injury (NSSI) behaviours among college students in China, with a particular focus on the mediating roles of emotion dysregulation and social exclusion. DESIGN: A cross-sectional survey was conducted among a convenience sample of college students. SETTING: The study was performed among college students from public universities in Hunan Province, China, between October 26 and November 26, 2023. PARTICIPANTS: A total of 1467 college students aged 19.52±1.16 years participated in the survey. OUTCOME MEASURES: Data were collected through an online questionnaire that included a general information form, the Ottawa Self-Injury Inventory, the Brief Cyberbullying and Cybervictimisation Scale, the Social Exclusion Questionnaire for Chinese Undergraduates and the Difficulties in Emotion Regulation Scale. RESULTS: The study sample consisted of 1467 college students, with a mean age of 19.52±1.16 years. Pearson's correlation analysis revealed significant positive correlations between NSSI behaviours and cybervictimisation (r=0.58, p<0.01), social exclusion (r=0.64, p<0.01) and emotion dysregulation (r=0.69, p<0.01). Multivariate regression analysis identified significant predictors of NSSI behaviours, including gender (β=0.06, p<0.05), being a left-behind child (β=-0.20, p<0.05), being the only child (β=0.07, p<0.05), cybervictimisation (β=0.32, p<0.001), emotion dysregulation (β=0.41, p<0.001) and social exclusion (β=0.15, p<0.001). Mediation effect analysis revealed a chain mediation effect where cybervictimisation influenced NSSI behaviours through the mediating roles of emotion dysregulation and subsequent social exclusion (all p<0.001). CONCLUSIONS: This study confirms previous research by highlighting the positive relationship between cybervictimisation and NSSI behaviours, and advances the field by identifying a chain mediation effect involving emotion dysregulation and social exclusion among this relationship. These findings highlight the critical need to incorporate strategies for managing both emotion dysregulation and social exclusion in the prevention and intervention of NSSI behaviours among adolescents exposed to cybervictimisation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".