Cyberbullying and ADHD in Adolescents: Risk Factors

CYBERBULLYING AND VICTIMIZATION IN ADOLESCENTS WITH ATTENTION DEFICIT HYPERACTIVITY DISORDER

Özgür Onder Demirtaş1, Serdar Akkuş1, and Süleyman Kazlık1

  1. Department of Child and Adolescent Psychiatry, Health Sciences University Gazi Yaşargil Training and Research Hospital, Diyarbakır, Türkiye

OPEN ACESS

PUBLISHED:31 July 2025

CITATION:Demirtaş, Ö. O., et al., 2025. CYBERBULLYING AND VICTIMIZATION IN ADOLESCENTS WITH ATTENTION DEFICIT HYPERACTIVITY DISORDER: THE ROLE OF DIGITAL RISK FACTORS. Medical Research Archives [online] 10(7). Available at: https://doi.org/10.18103/mra.v10i7.362 [Accessed 31 July 2025].

COPYRIGHT: © 2025 European Society of Medicine. This is an   open-access    article distributed    under the terms of the Creative Commons Attribution License, which    permits    unrestricted    use, distribution, and reproduction in any medium, provided the original author and source are credited.

DOI: https://doi.org/10.18103/mra.v13i7.6748

ISSN 2375-1924

ABSTRACT

Background: This study aims to determine the prevalence of cyberbullying and cybervictimization among adolescents diagnosed with Attention Deficit Hyperactivity Disorder. It also examines the sociodemographic, psychiatric, and digital variables associated with these behaviors.

Methods: A total of 107 adolescents diagnosed with ADHD participated in the study. The distribution of continuous variables was assessed using the Shapiro-Wilk test, and the Mann-Whitney U test was applied for non-normally distributed data. To identify the factors associated with cyberbullying and cybervictimization, a multivariate logistic regression analysis was performed using the Backward Rmethod. For the sake of statistical significance, a significance level of p < .05 was established as the benchmark for all analyses.

Results: The study’s sample population included 107 adolescents, with a mean age of 14.45 years (SD = 1.81). The sample consisted of 77.1% males (n = 77) and 22.9% females (n = 30). Among participants, 52.3% (n = 56) reported experiencing cyberbullying, while 36.4% (n = 39) reported cybervictimization.

Conclusions: The findings indicate a significant prevalence of cyberbullying and cybervictimization among adolescents with ADHD, highlighting the need for targeted interventions.

Keywords

Cyberbullying, Cybervictimization, Attention Deficit Hyperactivity Disorder, Adolescents, Digital Risk Factors

INTRODUCTION

With the widespread use of digital technologies, cyberbullying and cybervictimization have become prevalent psychosocial issues among adolescents. Cyberbullying is defined as deliberate and repeated harmful behavior directed at an individual through digital communication channels, which may include social media platforms, instant messaging applications, online gaming environments, email, video-sharing sites, and anonymous forums. Cybervictimization, on the other hand, refers to the experience of individuals who are targeted by these digital attacks.

According to the literature, adolescents diagnosed with attention deficit hyperactivity disorder (ADHD) are at higher risk of experiencing cyberbullying and cybervictimization compared to their peers. A salient finding of the study underscores the notion that, while bivariate analyses indicated elevated scores of inattention, hyperactivity/impulsivity, and Oppositional Defiant Disorder in individuals subjected to cyberbullying in comparison to those not subjected to such victimization, these variables were deemed non-significant in the context of multivariate regression analysis. Furthermore, no substantial correlation was identified with cybervictimization.

METHODS

The objective of this study was to assess the prevalence of cyberbullying and cybervictimization among adolescents diagnosed with ADHD and to identify the associated risk factors.

The study’s sample population included 107 adolescents diagnosed with ADHD. Participants were recruited from various health institutions, and the study was approved by the Ethics Committee of Health Sciences University Gazı Yaşargil Training and Research Hospital, Diyarbakır, Turkey.

RESULTS

The study’s sample population included 107 adolescents, with a mean age of 14.45 years (SD = 1.81). The sample consisted of 77.1% males (n = 77) and 22.9% females (n = 30). Among participants, 52.3% (n = 56) reported experiencing cyberbullying, while 36.4% (n = 39) reported cybervictimization.

Table 1: Comparison of Sociodemographic and Clinical Characteristics According to Cyberbullying and Cybervictimization Status
Table 1: Comparison of Sociodemographic and Clinical Characteristics According to Cyberbullying and Cybervictimization Status
Characteristic Cyberbully (n = 38) Non-cyberbully (n = 69) p
Gender 30 (78.9%) 49 (71.0%) .372
Female 8 (21.1%) 20 (29.0%) .372
Academic achievement Middle school 17 (44.7%) .445
High school 10 (26.3%) 22 (31.9%) .445
Mother’s educational level High school 7 (18.4%) .183
Secondary or above 31 (81.6%) 62 (89.9%) .183
Parental psychiatric history Yes 1 (2.6%) .372
No 37 (97.4%) 68 (97.4%) .372
Table 2: Comparison of Subscale Scores on the Turgay DSM-IV-Based ADHD Scale
Table 2: Comparison of Subscale Scores on the Turgay DSM-IV-Based ADHD Scale
Table 3: Internet Access and Usage Characteristics
Table 3: Internet Access and Usage Characteristics
Table 4: Purposes of Internet Use
Table 4: Purposes of Internet Use
Table 5: Logistic Regression Model for Cyberbullying
Table 5: Logistic Regression Model for Cyberbullying
Table 6: Logistic Regression Model for Cybervictimization
Table 6: Logistic Regression Model for Cybervictimization

CONCLUSION

This study provides insight into the prevalence of cyberbullying and cybervictimization among adolescents with ADHD. The findings indicate a significant association between these behaviors and various sociodemographic and digital risk factors, emphasizing the need for targeted interventions to address these issues.

ETHICAL APPROVAL

This research was conducted in accordance with the ethical standards of the Ethics Committee of Health Sciences University Gazı Yaşargil Training and Research Hospital (Approval No: 461, Date: May 19, 2025).

CONFLICT OF INTERESTS

There are no financial, personal, or professional interests related to this article.

FUNDING

This research did not receive any funding.

ACKNOWLEDGMENTS

This study was conducted with the support of the authors. No institutional, financial, or external support was received. During the writing process, an AI-based assistant developed by OpenAI (ChatGPT 4.5) was utilized to provide language and translation support. The final content was prepared under the scientific supervision and approval of the authors.

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