SOCIAL ANXIETY AND SELF-REPORTED TIME SPENT ONLINE IN A SAMPLE OF ALBANIAN UNIVERSITY STUDENTS

  • Erika Melonashi Faculty of Social Sciences and Education, European University of Tirana
Keywords: Albania, social anxiety, online, students

Abstract

Online activity serves different purposes, one of them being communication and social interaction. Studies have demonstrated that individuals tend to display online behavioral patterns that are similar to their social groups; also there is some evidence that individuals who have interaction difficulties in real life (e.g., social anxiety) might engage more in online behavior. The purpose of the present study was to investigate the relationship between self-reported time spent online, descriptive social norms, and social anxiety symptoms in a sample of 356 Albanian University students. Participants were recruited online. Results showed a significant predictive model for self-reported time spent online, F (7,342)=48.99, p<.001, R2=.50. Age, gender, and the four social anxiety components were not significant predictors; only descriptive norms had a significant effect, β=.70, p<.001. Results are in line with the social normative approach to internet use and have several implications which are discussed in the paper.

References

Alavi, S. S., Alaghemandan, H., Maracy, M. R., Jannatifard, F., Eslami, M. & Ferdosi, M. (2010). Impact of addiction to Internet on a number of psychiatric symptoms in students of Isfahan universities. International Journal of Preventive Medicine, 3, 122-127.

American Psychiatric Association, (2013). Diagnostic and statistical manual of mental disorders (5th Ed.). USA: APA

Brechwald, W. A., & Prinstein, M. J. (2011). Beyond homophily: A decade of advances in understanding peer influence processes. Journal of Research on Adolescence, 21, 166–179.

Chang, L. (2004). The role of classroom norms in contextualizing the relations of children’s social behaviors to peer acceptance, Developmental Psychology, 40, 691–702.

Erikson, E. (1978). Childhood and Society. Great Britain: W. W. Norton & Co.

Hofmann, S. G., Asnaani, A., & Hinton, D. E. (2011). Cultural aspects in social anxiety and social anxiety disorder. Depress Anxiety, 27(12), 1117–1127.

Joinson, A. N. (2001). Self-disclosure in computer mediated communication: the role of self-awareness and visual anonymity. European Journal of Social Psychology, 31, 177–192.

Koc, M. & Gulyagci, S. (2013). Facebook addiction among Turkish college students: The role of psychological health, demographic, and usage characteristics. Cyberpsychology, Behavior, and Social Networking, 16(4), 279-284.

Lehenbaue-Baum, M., & Fohringer, M. (2015). Towards classification criteria for internet gaming disorder: Debunking differences between addiction and high engagement in a German sample of World of Warcraft players. Computers in Human Behavior, 45, 345–351.

Liberatore, K. A., Rosario, K., Colon-De Marti, L. N., & Martinez. K. G. (2011). Prevalence of Internet addiction in Latino adolescents with psychiatric diagnosis. Cyberpsychology, Behavior, and Social Networking, 14, 399-402.

Liebowitz, M. R. (1987). Social Phobia. Modern Problems of Pharmacopsychiatry, 22, 141-173.

Liu, C., & Kuo, F. (2007). A study of Internet addiction through the lens of the interpersonal theory. Cyberpsychology & Behavior, 10, 799–804.

Montag, C., Flierl, M., Markett Walter, S., Jurkiewicz, N., Reuter, M. (2011). Internet addiction and personality in first-person shooter video gamers. Journal of Media Psychology, 23, 163–173.

Morrison, C. M., & Gore, H. (2010). The relationship between excessive Internet use and depression: a questionnaire based study of 1,319 young people and adults. Psychopathology, 43, 121-126.

Pontes, H. M., Szabo, A. & Griffiths, M. D. (2015). The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 19-25.

Steinberg, L., & Monahan, K. C. (2007). Age differences in resistance to peer influence. Developmental Psychology, 43, 1531–1543.

Wangberg, S., Andreassen, H., Prokosch, H., Mariavogos Santana, S., Sørensen, T., & Chronaki, C. (2007). Relations between Internet use, socio-economic status (SES), social support and subjective health. Health Promotion International, 23, 70–77.

Wei, H. T., Chen, M. U., Huang, P. C., & Bai, Y. M. (2012). The association between online gaming, social phobia, and depression: an internet survey. BMC Psychiatry, 12, 92.

Weinstein, A., Dorani, D., Elhadif, R., Bukovza, Y., & Yarmulnik, A. (2015). Internet addiction is associated with social anxiety in young adults,” Annals of Clinical Psychiatry, 27 (1), 1-7.

World Vision. (2014). A study on child online safety in Albania. Retrieved from http://www.wvi.org/albania/publication/study-child-online-safety-albania

Yen, J. Y., Ko, C. H., Yen, C. F., Wu, H. Y., & Yang, M. J. (2007). The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. Journal of Adolescent Health, 41, 93-98.

Young, K. S. (2015). The evolution of internet addiction. (pp. 3-17). In: C. Montag & M. Reute, Internet addiction: Neuroscientific approaches and therapeutical interventions. Germany: Springer

Zhou, N., & Fang, X. (2015). Beyond peer contagion: Unique and interactive effects of multiple peer influences on Internet addiction among Chinese adolescents. Computers in Human Behavior, 50, 231–238.

Published
2017-09-23