Volume 23, Issue 5 (8-2024)                   JRUMS 2024, 23(5): 392-406 | Back to browse issues page

Ethics code: IR.PNU.REC.1402.186


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mashalpourfard M, Pouristadegi A. The Structural Equations Model of Cyberbullying Based on the Brain/Behavioral System (Inhibition/Activation of Behavior) with the Mediating Role of Cognitive Regulation of Emotion in Second-Period High School Students of Gotvand City: A Descriptive Study. JRUMS 2024; 23 (5) :392-406
URL: http://journal.rums.ac.ir/article-1-7378-en.html
Assistant Professor, Faculty of Educational sciences and Psychology, Payame Noor University, Tehran, Iran
Abstract:   (370 Views)
Background and Objectives: With the expansion of the use of internet technology, teenagers, as a group of society that use cyber space more, are exposed to its abuse. The aim of the present study was to determine the structural equation model of cyberbullying based on the brain/behavioral system with the mediating role of cognitive emotion regulation in students.
Materials and Methods: In the current descriptive study, the statistical population was all students of secondary school (second period) in Gotvand City in 2022-2023. Three-hundred and eighty people were selected by multi-stage cluster random sampling method and responded to the Behavioral Inhibition/Activation, Cyberbullying-Victim Experience, and Emotional Eegulation Scales. Data analysis was performed by structural equations modeling method.
Results: Direct effects of behavioral inhibition system on cyberbullying (β=-0.460, p=0.001), behavioral activation on cyberbullying (β=0.299, p=0.001), and cognitive regulation of excitement on cyberbullying (β=-0.376, p=0.001), and also inhibition of behavior on cognitive regulation of emotion (β=0.235, p=0.001), activation of behavior on cognitive regulation of emotion (β=-0.239, p=0.001) were significant. Moreover, the indirect effects of inhibiting behavior on cyberbullying through cognitive regulation of emotion (β=-0.122, p=0.001) and activating behavior on cyberbullying through cognitive regulation of emotion (β=-0.200, p=0.001) were significant.
Conclusion: The results of the present study showed that the behavior inhibition/behavior activation system is effective directly and through the cognitive regulation of emotion on cyberbullying, and the cognitive regulation of emotion also has a direct effect on cyberbullying. The results of the present research will help education experts and psychotherapists in identifying variables related to behavioral and emotional control conditions in order to increase the mental health and quality of life of adolescents with the optimal use of cyber technology.
Keywords: Cyberbullying, Cognitive emotion regulation, Behavioral inhibition/behavior activation, Student

Funding: This study did not have any funds.
Conflict of interest: None declared.
Ethical considerations: The Ethics Committee of Payam-e-Noor University approved the study (IR.PNU.REC.1402.186).
Authors’ contributions:
- Conceptualization: Marzieh Mashalpourfard
- Methodology: Marzieh mashalpourfard, Akram Pouristadegi
- Data collection: Akram pouristadegi
- Formal analysis: Marzieh Mashalpourfard, Akram Pouristadegi
- Supervision: Marzieh Mashalpourfard
- Project administration: Marzieh Mashalpourfard
- Writing – original draft: Akram Pouristadegi
- Writnig – review & editing: Marzieh Mashalpourfard, Akram Pouristadegi
 
Full-Text [PDF 308 kb]   (180 Downloads) |   |   Full-Text (HTML)  (185 Views)  
Type of Study: Research | Subject: Psychiatry
Received: 2024/05/3 | Accepted: 2024/07/27 | Published: 2024/08/20

References
1. Renata A, Mendes RA, Loxton N, Stuart J, O’Donnell A, Stainer MJ. Statistics anxiety or statistics fear? A reinforcement sensitivity theory perspective on psychology students’ statistics anxiety, attitudes, and self efficacy. EJOPE 2024; 28(11): 1427-40.
2. Sun J, Luo Y, Chang H, Zhang R, Liu R, Jiang Y. The Mediating Role of Cognitive Emotion Regulation in BIS/BAS Sensitivities, Depression, and Anxiety Among Community-Dwelling Older Adults in China. PRABM 2020; 13: 939-48.
3. Reddy LF, green MF, Rizzo S, Sugar CA, Blanchard JJ, Gur RE, et al. Behavioral approach and avoidance in schizophrenia: An evaluation of motivational profiles. SR 2014; 159: 164-70.
4. Inwood E, Ferrari M. Mechanisms of Change in the Relationship between Self-Compassion, Emotion Regulation, and Mental Health: A Systematic Review. Appl Psychol Health Well Being 2018; 10(2): 215-35.
5. Johnson SL, Turner RJ, Iwata N. BIS/BAS Levels and Psychiatric Disorder: an Epidemiological Study. JOPABA 2018; 25(1): 25-36.
6. Atai Moghanlou R, Pishvai M. Prediction of generalized anxiety disorder based on the variables of emotion dysregulation, thought-action fusion and behavioral inhibition. JOKUOMS 2021; 22(6): 677-89. [Farsi]
7. Lozano-Blasco R, Robres AQ, Sánchez AS. Internet addiction in young adults: A meta-analysis and systematic review. CIHB 2022; 10: 72-80.
8. Handono SG, Laeheem K, Sittichai R. Factors related with cyberbullying among the youth of Jakarta, Indonesia. CAYSR 2019; 18: 234-39.
9. Chiu YC, Pan YC, Lin YH. Chinese adaptation of the Ten-Item Internet Gaming Disorder Test and prevalence estimate of Internet gaming disorder among adolescents in Taiwan. JOBA 2021; 7(3): 719-26.
10. Islamian E, Sadeghi M, Shamsi Zadeh E, Akbari, Muslim M, Iftikhar Saadi Z. Causal modeling of cyber victimization based on emotional self-awareness with the mediation of smartphone addiction in high school gifted students. SRJOSUOMS 2022; 29(5): 627-40. [Farsi]
11. Kowalski RM, Limber SP, McCord A. A developmental approach to cyberbullying: Prevalence and protective factors. AAVB 2019; 45: 20-32.
12. Wang X, Qiao Y, Li W, Dong W. How is Online Disinhibition Related to Adolescents' Cyberbullying Perpetration? Empathy and Gender as Moderators. TJOEA 2021; 8(20): 1-29.
13. Tokunaga RS. Following you home from school: A critical review and synthesis of research on cyberbullying victimization. CIhB 2018; 26(3): 277-87.
14. Sediqi Arfai F, Jafari Dehabadi, M. The effect of courage skills training on female students who are victims of cyberbullying in second secondary schools. SSJ 2019; 12(3): 121-40. [Farsi]
15. Fredstrom BK, Adams RE, Gilman R. Electronic and school-based victimization: Unique contexts for adjustment difficulties during adolescence. JOYAA 2011; 40(4): 405-15.
16. Juvonen J, Gross EF. Extending the school grounds? Bullying experiences in cyberspace. J Sch Health 2008; 78(9): 496-505.
17. Grigg DW. Cyber-aggression: Definition and concept of cyberbullying. JOPACIS 2010; 20(2): 143-56.
18. Bickham DS. Current Research and Viewpoints on Internet Addiction in Adolescents. CPR 2021; 9: 1-10.
19. Lee J, Choi M, Holland MM, Radey M, Tripodi SJ. Childhood bullying victimization, substance use and criminal activity among adolescents: a multilevel growth model study. Int J Environ Res Public Health 2022; 20(1): 770.
20. Falahi, Narimani M, Atadakht A. The role of irrational beliefs and social adequacy in predicting students' cyberbullying experience. SP 2023; 12(3): 27-40. [Farsi]
21. Jahani Zingir H, Eghbali M, Jafarzadeh dashbolagh H. Prediction of cyberbullying based on impulsivity, Moral disengagement and dark personality traits in adolescents with addiction to cyberspace. RRJ 2023; 12(4): 188-200. [Farsi]
22. Maleki M, Shehni yailagh M. The Relationship between Cyber Aggression and Emotion Regulation, Self-Control and Depression in Male High School Students in Ahvaz. A Descriptive Study. J Rafsanjan Univ Med Sci 2022; 21(7): 741-56. [Farsi]
23. Safai Nayini K, Narimani M, Kazemi R, Mousazadeh T. The effectiveness of group motivational interviewing and emotion regulation training on reducing bullying behavior and academic burnout of teenagers using virtual social networks. QEPATU 2019; 51(15): 95-126. [Farsi]
24. Smeri Barde Zard Y, Rasouli R, Eskandari H. The effectiveness of emotion-focused therapy on increasing social-emotional skills and reducing depression in bullied students. PS 2017; 13(3): 77-94. [Farsi]
25. Garnefski N, Kraaij V. Bully victimization and emotional problems in adolescents: Moderation by specific cognitive coping strategies? JA 2021; 37(7): 1153-60.
26. Yang F, Zhang L. Problem behavior patterns of victims of school bullying in rural China: The role of intrapersonal and interpersonal resources. CAYSR 2018; 93: 315-20.
27. Moradkhani S, Yazdanbakhsh K. Model of structural relationships of brain systems, behavior and cognitive regulation of emotion with the mediation of executive cognitive functions in imprisoned men. CPQ 2021; 9(1): 21-38. [Farsi]
28. Khoshfetrat A, Scully D, Fassbender C. Effects of behavioral inhibition/activation systems on anger rumination and anger expression through Difficulty in Emotion Regulation. PAID 2022; 191: 270-7. [Farsi]
29. Ghasemzadeh, M, Jafari Voldani H, Ahmadi M, Mazaheri A. The effect of psychological factors on the commission of crime and the need to pay attention to it in legal systems and judicial processes (Study and comparison of criminal and healthy women in Isfahan). WRJ 2018; 9(3): 48-60. [Farsi]
30. Delkhah Z, Alivandi Vafa M, Moheb N. The Relationship of Meaning in Life, Selfcompassion, and Perceived Social Support With Fear of Aging: The Mediating Role of Spiritual Well-being. SIJA 2024; 18(4): 570-87. [Farsi]
31. Carver CS, White TL. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scale. JPASP 1994; 67: 319-33.
32. Antoniadou N, Kokkinos CM, Markos A. Development, construct validation and measurement invariance of the Greek cyberbullying/victimization experience questionnaire (CBVEQ-G). Computers in Human Behavior 2016; 65: 380-90.
33. Garnefski N, Kraaij V. Relationships between cognitive emotion regulation strategies and depressive symptoms: a comparative study of five specific samples. PAID 2006; 40; 1659-69.
34. Besharat MA, Bezazian S. Investigating the psychometric characteristics of the Cognitive Emotion Regulation Questionnaire in a sample of Iranian society. NAMQ 2014; 84(61); 14-32. [Farsi]
35. Collier J. Applied structural equation modeling using AMOS: Basic to advanced techniques. Routledge 2020: 11-47.
36. Hu LT, Bentler PM. Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. PM 1998; 3(4): 424.
37.  

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2025 CC BY-NC 4.0 | Journal of Rafsanjan University of Medical Sciences

Designed & Developed by : Yektaweb