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The Relationship Between Vulnerable Narcissism and Cyberbullying in Adolescents: The Mediating Role of Need to Belong.

  • Published In: Psychology in the Schools, 2025, v. 62, n. 7. P. 2264 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Su Topbaş, Zehra; Coşkun Yüce, Zeynep; Uzdil, Nurcan; Şimşek, Nuray 3 of 3

Abstract

Cyberbullying is an expected behavior among adolescents and threatens their psychosocial health. The current cross‐sectional study aims to determine the mediating role of the need to belong in the relationship between vulnerable narcissism and cyberbullying in adolescents. Study data were collected from 501 adolescents. The data were evaluated using descriptive statistics, Pearson correlation coefficient, and mediation analysis using the PROCESS Macro Model 4. The study suggests that vulnerable narcissism in adolescents predicts cyberbullying directly and indirectly through the need to belong. Interventions are recommended to ensure that the belonging needs of adolescents at risk are met in appropriate ways. Summary: The need to belong was found as a mediator in the relationship between vulnerable narcissism and cyberbullying in adolescents.Research findings demonstrated the importance of adaptive compensation of the need to belong in adolescents.It is essential to enhance educators' awareness of the need to fulfill adolescents' need to belong in a healthy manner and to consider potential interventions aimed at increasing adolescents' interactions with their peers. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Psychology in the Schools. 2025/07, Vol. 62, Issue 7, p2264
  • Document Type:Article
  • Subject Area:Political Science
  • Publication Date:2025
  • ISSN:0033-3085
  • DOI:10.1002/pits.23465
  • Accession Number:185787150
  • Copyright Statement:Copyright of Psychology in the Schools is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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