Document Type : Research Article (s)

Authors

1 Department of Psychology, Karaj Branch, Islamic Azad University, Karaj, Iran

2 Clinical Cares and Health Promotion Research Center, Karaj Branch, Islamic Azad University, Karaj, Iran

3 Department of Clinical Psychology, Faculty of Psychology and Education, Allameh Tabataba’i University, Tehran, Iran

Abstract

Background: Dysregulated emotional responses may promote addictive behaviors as a means of coping with high levels of stress. The aim of this study was to examine the effects of emotion regulation training on Internet addiction, focusing on the moderating role of brain-behavior systems.
Method: This semi-experimental study used a pretest-posttest design with a control group and a follow-up phase. The study population included all Internet-using second secondary school students in Islamshahr, Iran in the second half of 2021. A total of 100 students were selected by purposive sampling and divided into three experimental groups (activation system (n=15), inhibition system (n=15), and fight-flight-freeze system (n=18)) and three control groups (activation system (n=16), inhibition system (n=17), and fight-flight-freeze system (n=19)). Over seven weeks, seven 90-minute emotion regulation training sessions were conducted, while the control group received no training. Research instruments included a revised questionnaire based on Jackson’s (2009) Reinforcement Sensitivity Theory and Young’s (2007) Internet Addiction Test. Normality of data distribution was tested using the Shapiro-Wilk index of Internet addiction for all three groups in three levels, the statistical index of Box’s M test, and the assumption of homogeneity of the covariance matrices of the dependent variable. Analysis of covariance was performed using SPSS version 26.
Results: Findings suggested that emotion regulation skill training could reduce Internet addiction in individuals with the behavioral inhibition system (BIS) compared with other brain-behavior system groups (P<0.001). In addition, the Bonferroni test showed that the difference in the mean scores of Internet addiction was significant between the BIS and behavioral activation system (BAS) (P=0.432) groups as well as between BIS and fight-flight-freeze system (FFFS) groups (P=0.002) was significant. However, no significant difference was found in the mean score of Internet addiction between the BAS and FFFS groups (P=0.006).
Conclusion: The results of the study suggested that emotion regulation training for students with different neurological and behavioral systems can help reduce their tendency to excessive Internet use. Acquiring emotion regulation skills can significantly affect the tendency to use the Internet excessively.

Highlights

How to Cite: Kheiripour F, Bahrami Hidaji M, Mohammadi Shirmahaleh F, Rafezi Z, Asgharpour M. Developing an Emotional Regulation Training Model and its Effectiveness on Students’ Internet Addiction: Exploring the Moderating Role of Brain-Behavior Systems. Int. J. School. Health. 2023;10(3):144-152. doi: 10.30476/INTJSH.2023.98299.1297.

Keywords

1. Piri Z, Amiri Majd M, Bazzazian S, Ghamari M. The Mediating Role of Coping Strategies in the Relationship of Difficulties in Emotion Regulation with Internet Addiction Among College Students. Intern Med Today 2019;26(1):38-53. doi: 10.32598/hms.26.1.3108. ## 2. Bisen SS, Deshpande YM. Understanding internet addiction: a comprehensive review. Mental Health Review Journal. 2018;23(3):165-184. doi: 10.1108/MHRJ-07-2017-0023. ## 3. Aleebrahim F, Daneshvar S, Tarrahi MJ. The prevalence of internet addiction and its relationship with mental health among high school students in Bushehr, Iran (2018). Int J Prev Med. 2022;13:126. doi: 10.4103/ijpvm.IJPVM_480_19. PubMed PMID: 36452467; PubMed Central PMCID: PMC9704481. ## 4. Nazari M, Lotfi M, Amini M. The Mediating Role of Emotion Regulation Difficulties in the Relationship between Family Communication Patterns with Tendency Toward High-Risk Behaviors and Internet Addiction. Rooyesh. 2021;9(11):65-76. doi: 20.1001.1.2383353.1399.9.11.6.9. Persian. ## 5. Trumello C, Babore A, Candelori C, Morelli M, Bianchi D. Relationship with Parents, Emotion Regulation, and Callous-Unemotional Traits in Adolescents' Internet Addiction. Biomed Res Int. 2018;2018:7914261. doi: 10.1155/2018/7914261. PubMed PMID: 29951544; PubMed Central PMCID: PMC5989287. ## 6. Yan X, Gao W, Yang J, Yuan J. Emotion Regulation Choice in Internet Addiction: Less Reappraisal, Lower Frontal Alpha Asymmetry. Clin EEG Neurosci. 2022;53(4):278-286. doi: 10.1177/15500594211056433. PubMed PMID: 34894803. ## 7. Spada MM, Caselli G, Slaifer M, Nikčević AV, Sassaroli S. Desire thinking as a predictor of problematic Internet use. Social Science Computer Review. 2014;32(4):474-483. doi: 10.1177/0894439313511318. ## 8. Ko CH, Yen JY, Yen CF, Chen CS, Chen CC. The association between Internet addiction and psychiatric disorder: a review of the literature. Eur Psychiatry. 2012;27(1):1-8. doi: 10.1016/j.eurpsy.2010.04.011. PubMed PMID: 22153731. ## 9. Yen JY, Cheng-Fang Y, Chen CS, Chang YH, Yeh YC, Ko CH. The bidirectional interactions between addiction, behavior approach, and behavioral inhibition systems among adolescents in a prospective study. Psychiatry Res. 2012;200(2-3):588-92. doi: 10.1016/j.psychres.2012.03.015. PubMed PMID: 22534501. ## 10. Phillips LH, Henry JD, Nouzova E, Cooper C, Radlak B, Summers F. Difficulties with emotion regulation in multiple sclerosis: Links to executive function, mood, and quality of life. J Clin Exp Neuropsychol. 2014;36(8):831-42. doi: 10.1080/13803395.2014.946891. PubMed PMID: 25273836. ## 11. Jackson CJ. Jackson-5 scales of revised Reinforcement Sensitivity Theory (r-RST) and their application to dysfunctional real-world outcomes. Journal of Research in Personality. 2009;43(4):556-569. doi: 10.1016/j.jrp.2009.02.007. ## 12. Hasani J, Salehi S, Rasoli Azad M. Psychometric properties of Jackson’s five factor questionnaire: Scales of revised reinforcement sensitivity theory (r-RST). Research in psychological health. 2012;6(3):60-73. ## 13. Young KS. Internet addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior. 1998;1(3):237-244. doi: 10.1089/cpb.1998.1.237. ## 14. Alavi S, Eslami M, Maracy MR, Najafi M, Jannatifard F, Rezapour H. Psychometric properties of Young internet addiction test. Journal of Behavioral Sciences. 2010;4(3):183-189. Persian. ## 15. Eynypour J, Bayat M, Pashang S. Prediction of University Students' Internet Addiction Based on Brain-Behavioral Systems. Sjsph. 2021;19(1):85-98. ## 16. Quaglieri A, Biondi S, Roma P, Varchetta M, Fraschetti A, Burrai J, et al. From Emotional (Dys)Regulation to Internet Addiction: A Mediation Model of Problematic Social Media Use among Italian Young Adults. J Clin Med. 2021;11(1):188. doi: 10.3390/jcm11010188. PubMed PMID: 35011929; PubMed Central PMCID: PMC8745641. ## 17. Günaydın N, Kaşko Arıcı Y, Kutlu FY, Yancar Demir E. The relationship between problematic Internet use in adolescents and emotion regulation difficulty and family Internet attitude. J Community Psychol. 2022;50(2):1135-1154. doi: 10.1002/jcop.22708. PubMed PMID: 34536295. ## 18. Forbes CN. New directions in behavioral activation: Using findings from basic science and translational neuroscience to inform the exploration of potential mechanisms of change. Clin Psychol Rev. 2020;79:101860. doi: 10.1016/j.cpr.2020.101860. PubMed PMID: 32413734. ## 19. Li W, Li Y, Yang W, Zhang Q, Wei D, Li W, et al. Brain structures and functional connectivity associated with individual differences in Internet tendency in healthy young adults. Neuropsychologia. 2015;70:134-44. doi: 10.1016/j.neuropsychologia.2015.02.019. PubMed PMID: 25698637. ## 20. Extremera N, Quintana-Orts C, Sánchez-Álvarez N, Rey L. The role of cognitive emotion regulation strategies on problematic smartphone use: Comparison between problematic and non-problematic adolescent users. Int J Environ Res Public Health. 2019;16(17):3142. doi: 10.3390/ijerph16173142. PubMed PMID: 31466410; PubMed Central PMCID: PMC6747355. ## 21. de la Fuente J, Paoloni P, Kauffman D, Yilmaz Soylu M, Sander P, Zapata L. Big five, self-regulation, and coping strategies as predictors of achievement emotions in undergraduate students. Int J Environ Res Public Health. 2020;17(10):3602. doi: 10.3390/ijerph17103602. ## 22. Verzeletti C, Zammuner VL, Galli C, Agnoli S. Emotion regulation strategies and psychosocial well-being in adolescence. Cogent Psychology. 2016;3(1):1199294. doi: 10.1080/23311908.2016.1199294. ##