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Sex Differences in the Factors Influencing Korean College Students’ Addictive Tendency Toward Social Networking Sites

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Abstract

This study explored the psychosocial differences in the addictive tendency toward social networking sites (SNSs) between male and female Korean college students. A convenience sample of 253 college students, 90 males and 163 females, from two universities in G City, South Korea, was recruited between October 17 and November 12, 2015. Data were analyzed using the Mann-Whitney test, analysis of variance, Pearson’s correlation, and simultaneous quantile regression. Female students showed a significantly higher tendency for SNS addiction than males did. Age and social support had significant effects on the tendency for SNS addiction in males; daily frequency of logging in to SNSs, subjective happiness, and depression had significant effects on the same in female respondents who fell above the 50th percentile on SNS addiction. Our data provide evidence of a heterogeneous effect of SNS addictive tendency determinants among college students, which is considered to be due to the interpersonal orientation of women and their vulnerability to depression.

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References

  • Baek, Y. M., Bae, Y., & Jang, H. (2013). Social and parasocial relationships on social network sites and their differential relationships with users’ psychological well-being. Cyberpsychology, Behavior, and Social Networking, 16(7), 512–517. doi:10.1089/cyber.2012.0510.

    Article  Google Scholar 

  • Block, M., Stern, D. B., Raman, K., Lee, S., Carey, J., Humphreys, A. A., et al. (2014). The relationship between self-report of depression and media usage. Frontiers in Human Neuroscience, 8, 1–10. doi:10.3389/fnhum.2014.00712.

    Article  Google Scholar 

  • Cho, G. Y., & Kim, Y. H. (2014). Factors influencing SNS addiction among university students. Journal of Fisheries and Marine Sciences Education, 26(5), 1138–1150.

    Article  Google Scholar 

  • Cho, M. J., & Kim, K. H. (1993). Diagnostic validity of the CES-D (Korean version) in the assessment of DSM-III-R major depression. Journal of Korean Neuropsychiatric Association, 32(3), 381–399.

    Google Scholar 

  • Fattore, L., Melis, M., Fadda, P., & Fratta, W. (2014). Sex differences in addictive disorders. Frontiers in Neuroendocrinology, 35(3), 272–284. doi:10.1016/j.yfrne.2014.04.003.

    Article  PubMed  Google Scholar 

  • Fujimori, A., Yamazaki, T., Sato, M., Hayashi, H., Fujiwara, Y., & Matsusaka, T. (2015). Study on influence of internal working models and gender differences on addiction of social network sites in Japanese university students. Psychology, 6(14), 1832–1840. doi:10.4236/psych.2015.614179.

    Article  Google Scholar 

  • Ha, Y., & Hwang, W. J. (2014). Gender differences in internet addiction associated with psychological health indicators among adolescents using a national web-based survey. International Journal of Mental Health and Addiction, 12, 660–669. doi:10.1007/s11469-014-9500-7.

    Article  Google Scholar 

  • Im, H. S. (2016). Media use condition of the mobile native, 20s: focused on the use of smartphones and mobile contents. ICT & Media Policy, 28(1), 1–18.

    Google Scholar 

  • International Telecommunication Union. (2013). Measuring the Informative Society Report. Geneva: ITU Report No.

    Google Scholar 

  • Jun, S. H., & Kim, W. K. (2014). An exploratory study of the interaction effect of depression and the perceived support on addiction in social network service. Health and Social Science, 35, 87–106.

    Google Scholar 

  • Jung, S. Y., & Kim, J. N. (2014). Development and validation of SNS addiction proneness scale for college students. The Korean Journal of Health Psychology, 19(1), 147–166.

    Article  Google Scholar 

  • Kang, Y.W. (2014). Association between MSNS (mobile social network service) addiction and mental health in university students (Master’s thesis, Ewha Womans University, Seoul, Korea). Retrieved from http://www.riss.kr/search/detail/DetailView.do?p_mat_type=be54d9b8bc7cdb09&control_no=bf3aba7ae4e60535ffe0bdc3ef48d419.

  • Kim, H. S. (2014). The influence of interpersonal relation tendency on SNS commitment among college students: the mediating effect of social anxiety. Journal of Human Understanding and Counseling, 35(2), 11–27.

    Google Scholar 

  • Kim, Y.H. (2016). Analysis of the SNS (Social Network Service) use progression and user’s behavior. Retrieved from Korea Information Society Development Institute website: http://stat.kisdi.re.kr/.

  • 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. doi:10.1089/cyber.2012.0249.

    Article  Google Scholar 

  • Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 33–50.

  • Korea Centers for Disease Control and Prevention. (2015). Korea youth risk behavior web-based survey. Available at https://yhs.cdc.go.kr/new/pages/intro8.asp.

  • Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction—a review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528–3552. doi:10.3390/ijerph8093528.

    Article  PubMed  PubMed Central  Google Scholar 

  • Li, W., O’Brien, J. E., Snyder, S. M., & Howard, M. O. (2015). Characteristics of internet addiction/pathological internet use in US University students: a qualitative-method investigation. PloS One, 10(2), e0117372. doi:10.1371/journal.pone.0117372.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lim, M.H. (2015). Gender differences on the effects of SNS use motivation and perceived interactivity and social anxiety in the SNS addiction proneness of college students (Master’s thesis, Konyang University, Daejeon, Korea). Retrieved from http://www.riss.kr/search/detail/DetailView.do?p_mat_type=be54d9b8bc7cdb09&control_no=3d8350763de35357ffe0bdc3ef48d419.

  • Lin, X., Li, Y., Califf, C. B., & Featherman, M. (2013). Can social role theory explain gender differences in Facebook usage? Paper presented at the 46th Hawaii International Conference on System Sciences, Maui, HW. Retrieved from doi:10.1109/HICSS.2013.125.

  • Meena, P. S., Soni, R., Jain, M., & Paliwal, S. (2015). Social networking sites addiction and associated psychological problems among young adults: a study from North India. Sri Lanka Journal of Psychiatry, 6(1), 14–16. doi:10.4038/sljpsyc.v6i1.8055.

    Article  Google Scholar 

  • Ministry of Health and Welfare. (2016). Strengthening of social capacity to respond to mental health. Available at http://www.mohw.go.kr/front_new/al/sal0301vw.jsp?PAR_MENU_ID=04&MENU_ID=0403&CONT_SEQ=330163. Accessed 6 Jul 2016.

  • Ministry of Science, ICT and Future Planning. (2013). 2013 Annual report of software industry. Retrieved from http://lib.msip.go.kr/libtechupload/IM020274.pdf.

  • Moreno, M. A., & Kolb, J. (2012). Social networking sites and adolescent health. Pediatric Clinics of North America, 59(3), 601–612. doi:10.1016/j.pcl.2012.03.02.

    Article  PubMed  Google Scholar 

  • Noguti, V., Singh, S., & Waller, D.S. (2016). Gender differences in motivations to use social networking sites. In Gender considerations in online consumption behavior and internet use (pp. 32–49). IGI Global.

  • Pantic, I. (2014). Online social networking and mental health. Cyberpsychology, Behavior, and Social Networking, 17(10), 652–657. doi:10.1089/cyber.2014.0070.

    Article  Google Scholar 

  • Shin, J. S., & Lee, Y. B. (1999). The effects of social supports on psychosocial well-being of the unemployed. Korean Journal of Social Welfare, 37, 241–269.

    Google Scholar 

  • Weiser, E. B. (2000). Gender differences in Internet use patterns and internet application preferences: a two-sample comparison. CyberPsychology and Behavior, 3(2), 167–178. doi:10.1089/109493100316012.

    Article  Google Scholar 

  • Wu, A. M., Cheung, V. I., Ku, L., & Hung, E. P. (2013). Psychological risk factors of addiction to social networking sites among Chinese smartphone users. Journal of Behavioral Addictions, 2(3), 160–166. doi:10.1556/JBA.2.2013.006.

    Article  PubMed  PubMed Central  Google Scholar 

  • Yoon, M. S., & Park, W. K. (2014). Psycho-social factors influencing to the SNS (social networking service) addiction tendency among university students. Korea Academy of Mental Health Social Work, 42(42), 208–236.

    Google Scholar 

  • Zimet, G. D., Dahlem, N. W., Zimet, S. G., & Farley, G. K. (1988). The multidimensional scale of perceived social support. Journal of Personality Assessment, 52(1), 30–41. doi:10.1207/s15327752jpa52012.

    Article  Google Scholar 

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Correspondence to Hyunlye Kim.

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This study was reviewed and approved by the research ethics committee of the author’s institution (IRB No. 1040198-151006-HR-049-01).

Financial Support

This study was supported by 2015 Chonnam National University, College of Nursing Alumni fund.

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The authors declare that they have no conflict of interest.

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Chae, D., Kim, H. & Kim, Y.A. Sex Differences in the Factors Influencing Korean College Students’ Addictive Tendency Toward Social Networking Sites. Int J Ment Health Addiction 16, 339–350 (2018). https://doi.org/10.1007/s11469-017-9778-3

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