Cyberbullying perpetration and externalizing problem behaviors in adolescents
Spreading effects based on developmental cascades
Bibliographic Data
| ID | 22960902 |
|---|---|
| Authors | Jiankang He (0000-0001-7813-0428, Beijing Forestry University), Bochen Wang (0000-0002-4548-8199, Beijing Forestry University), Yudan Li (0009-0007-5708-6641, Beijing Forestry University), Cancan Jin (0000-0001-5991-8156, Beijing Forestry University) |
| Year | 2026 |
| Volume | 36 |
| Issue | 3 |
| Pages | e70220-e70220 |
| Publication date | 2026-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Research on Adolescence (JOURNAL) |
| Journal identifiers | ISSN: 1050-8392 • E-ISSN: 1532-7795 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/jora.70220 |
| PMID | 42383651 |
| OpenAlex | W7166832995 |
| Language | EN |
| References cited | 66 |
Cyberbullying represents a severe public health issue, endangering the mental and physical health of adolescents. Externalizing problem behaviors are significant factors for cyberbullying perpetration. However, the spreading effects between them remain debated. This study applied network analyses to further examine the spreading effects. We focused on two subtypes of cyberbullying perpetration (cyber verbal aggression; cyber relational aggression) and five subtypes of externalizing problem behaviors (academic misbehaviors; vandalism behaviors; aggressive behaviors; interpersonal dishonesty behaviors; risk‐taking behaviors). The valid sample consisted of 2075 Chinese adolescents who completed surveys at three time points, spaced 6 months apart. The contemporaneous and cross‐lagged panel networks were constructed. Results suggest that the spreading effect is bidirectional over the 6‐month interval, but unidirectional in the 12‐month interval, and behavior subtypes play different roles. Among the five subtypes of externalizing problem behaviors, interpersonal dishonesty behaviors especially warrant consideration as a risk signal for cyberbullying perpetration, potentially serving as both a precursor and an outcome. These findings advance understandings of developmental cascades at the behavioral level by shifting focus from broad behavior categories to specific subtypes. Identifying such detailed behavioral risk signals enables earlier detection of and more targeted interventions against cyberbullying perpetration, ultimately contributing to protecting adolescents.
Dishonesty · Interpersonal communication · Interpersonal interaction · Interpersonal relationship · Intervention (counseling) · Mental health · Psychological intervention · Sample (material) · Bullying, Victimization, and Aggression · Child and Adolescent Psychosocial and Emotional Development · Mental Health Research Topics
Comparing network structures on three aspects
Reporting standards for psychological network analyses in cross-sectional data.
Effect size guidelines for cross-lagged effects.
Complex Systems Research in Educational Psychology
Qgraph
Human Aggression
Longitudinal associations among peer pressure, moral disengagement and cyberbullying perpetration in adolescents
The Effectiveness of Educational Interventions on Traditional Bullying and Cyberbullying Among Adolescents
School-Based Intervention on Cyberbullying-Related Outcomes and Psycho-Social Well-Being in Children and Adolescents
Bridge Centrality
Adolescent Brain Development and Contextual Influences
Bullying in the digital age
Cyberbullying
Cyberbullying Perpetration and Victimization in Youth
Positioning adolescence in the developmental timeline
Predictors and outcomes of cyberbullying among college students
Frustration–aggression hypothesis reconsidered
Longitudinal relations among Honesty-Humility, moral disengagement, and unethical behavior in adolescents
Ecological Influences on Chinese Adolescents' Problem Behaviors
| Citation velocity | historical |
|---|---|
| Highly cited | No |