Predicting the Students’ Internet Addiction Based on the Behavioral Activation / Inhibition Systems and Social Anxiety

Document Type: Original Article

Authors

1 PhD in Psychology, Department of Psychology, Faculty of Literature and Human Science, Arak University, Arak, Iran

2 Ph.D in psychology, Department of psychology, Faculty of literature and human science, University of Guilan, Rasht, Iran

Abstract

Abstract
Introduction: The purpose of this research was to investigate the role of Behavioral activation/inhibition Systems and Social Anxiety in prediction of Students' Internet Addiction.
Methods: The study uses a descriptive-correlative design. For this purpose, 356 students were selected through random cluster sampling from Arak University (172 males and 184 females). They were asked to answer the Behavioral Inhibition/Activation Systems Scale, Internet Addiction Test and Social phobia Inventory. Then, the correlation and regression analyses were employed.
Results: The results indicated that Social Anxiety were significantly and positively correlated with Internet Addiction, there was no significant relationship between Internet Addiction and Behavioral Activation System, and Behavioral inhibition System were significantly and positively correlated with Internet Addiction. Regression analysis showed that Social Anxiety and Behavioral inhibition System could predict Internet Addiction.

Conclusion: Based on the present study results, it can be concluded that Social Anxiety and Behavioral inhibition System predicted higher levels of Internet Addiction.

Keywords


References
1. Ho RC, Zhang M, Tsang T, Toh A, Pan F, Lu Y, Cheng C, Yip
P, Lam T, Lai C, Watanabe H and Mak K. The association
between Internet addiction and psychiatric co-morbidity: a metaanalysis.
BMC Psychiatry. 2014; 14:1-10.
2. Park SM, Park YA, Lee HW, Jung HY, Lee JY, Choi JS, et al.
The effects of behavioral inhibition/approach system as
predictors of Internet addiction in adolescents. Personality &
Individual Differences. 2013;54:7–11.
3. Li H, Jin R, Yuan K, Zheng B, Zheng Z, Luo Y, Ye H, Huang B,
Zhu T. Effect of electro-acupuncture combined with
psychological intervention on mental symptoms and P50 of
auditory evoked potential in patients with Internet addiction
disorder .Journal of Traditional Chinese Medicine. 2017; 37: 43-
48.
4. Gray JA. Neural System, emotion, and personality. In J. Madden,
IV (Ed.), Neurobiology of learning, emotion, and affect (pp.
273–306). New York: Raven Press. 1991.
5. Franken IHA, Muris P, Georgieva I. Gray’s model of personality
and addiction. Addictive Behaviors. 2006; 31, 399–403.
6. Carver CS, White TL. Behavioral inhibition, behavioral
activation and affective responses to impending reward and
punishment: The BIS/BAS Scales. Journal of Personality and
Social Psychology.1994; 67, 319–333.
7. Dawe S, Gullo MJ, Loxton NJ. Reward drive and rash
impulsiveness as dimensions of impulsivity: Implications for
substance misuse. Addictive Behaviors. 2004; 29, 1389–1405.
8. Hundt NE, Kimbrel NA, Mitchell JT, Nelson-Gray RO. High
BAS, but not low BIS, predicts externalizing symptoms in adults.
Personality and Individual Differences. 2008; 44, 565–575.
9. Kimbrel NA, Nelson-Gray R O, Mitchell JT. Reinforcement
sensitivity and maternal style as predictors of psychopathology.
Personality and Individual Differences. 2007; 42, 1139–1149.
10. Kim DY, Lee JH. Effects of the BAS and BIS on decisionmaking
in a gambling task. Personality and Individual
Differences. 2011; 50, 1131–1135.
11. Yen JY, Ko CH, Yen CF, Chen CS, Chen CC. The association
between harmful alcohol use and Internet addiction among
college students: Comparison of personality. Psychiatry and
Clinical Neurosciences. 2009; 63, 218–224.
12. Meerkerk GJ, van den Eijnden RJ, Franken IHA, Garretsen HFL.
Is compulsive Internet use related to sensitivity to reward and
punishment, and impulsivity? Computers in Human Behavior.
2010; 26, 729–735.
13. Giles G, Price IR. Adolescent computer use: Approach,
avoidance, and parental control. Australian Journal of
Psychology. 2008; 60, 63–71.
14. Yen JY, Cheng-Fang Y, Chen CS, Chang YH, Yeh YC, Ko CH.
The bidirectional interactions between addiction, behavior
approach and behavior inhibition systems among adolescents in
a prospective study. Journal of Psychiatric Research. 2012; 200,
588-592.
15. Campbell AJ, Cumming SR, Hughes I. Internet use by the
socially fearful: addiction or therapy? Cyber Psychology &
Behavior. 2006; 9(1), 69–81.
16. Weinstein A, Dorani D, Elhadif R, Bukovza Y, Yarmulnik A,
Dannon P. Internet addiction is associated with social anxiety in
young adults. Annals of Clinical Psychiatry. 2015; 27: 4-9.
17. Kuss DJ, Lopez-Fernandez O. Internet addiction and
problematic Internet use: A systematic review of clinical
research. World Journal of Psychiatry. 2016; 22:143-176.
18. Van Zalk N. (2016). Social anxiety moderates the links between
excessive chatting and compulsive Internet use.
Cyberpsychology: Journal of Psychosocial Research on
Cyberspace. 2016; 10(3), 1-16.
19. Ko CH, Yen JY, Chen CS, Yeh YC, Yen CF. Predictive values
of psychiatric symptoms for Internet addiction in adolescents: a
2-year prospective study. Archives of Pediatrics and Adolescent
Medicine. 2009; 163(10):937–943.
Predicting Students’ Internet Addiction
Int J Behav Sci Vol.12, No.1, Spring 2018 36
20. Milani L, Osualdella D, Di BP. Quality of interpersonal
relationships and problematic Internet use in adolescence.
CyberPsychology and Behavior. 2009; 12(6):681-684.
21. Yen JY, Ko CH, Yen CF, Wu HY, Yang MJ. The comorbid
psychiatric symptoms of Internet addiction: attention deficit and
hyperactivity disorder [ADHD], depression, social Anxiety, and
hostility. Journal of Adolescent Health. 2007; 41(1): 93–8.
22. Weidman AC, Fernandez KC, Levinson CA, Augustine AA,
Larsen RJ, Rodebaugh TL. Compensatory Internet use among
individuals higher in social anxiety and its implications for wellbeing.
Personality and Individual Differences. 2012; 53, 191-
195.
23. Gray JA. Framework for a taxonomy of psychiatric disorder. In
S. van Gozen, N. van de Poll, & J. A. Sergeant (Eds.), Emotions:
Essays on emotion theory (pp. 29–59). New Jersey: Lawrence
Erlbaum. 1993.
24. Carver CS, White T L. Behavioral Inhibition, Behavioral
Activation, and Affective Responses to Impending Reward and
Punishment: The BIS/BAS Scales. Journal of Personality and
Social Psychology. 1994; 67(2): 319-333.
25. Abdollahi Mojarshin R. Relation of Behavioral Activation
/inhibition Systems with implicit memory bias in depression
[Thesis for Master of Science]. [Tabriz, Iran]: Faculty of
Psychology, Tabriz University; 2006. [Persian].
26. Widyanto L, McMurran M. The psychometric properties of the
Internet addiction test. Cyberpsychology & Behavior. 2004; 7
(4), 443-450.
27. Alavi SS, Eslami M, Maracy M R, Najafi M, Jannatifard F, Pour
Hossein R. Psychometric properties of Young Internet addiction
test. Journal of Behavioral Sciences. 2010; 4 (3): 183-189.
28. Connor KM, Davidson JR, Churchill LE, Sherwood A, Foa E,
Weisler RH. Psychometric properties of the Social phobia
Inventory (SPIN). New self-rating scale. The British Journal of
Psychiatry. 2000; 176:379-86.
29. Hasanvand A M, Bagheri A, Shaeeri M. The Article collection
of 5th Students Mental Health Seminar, Shahed University.
2010.