THE ROLE OF LONELINESS AS A PREDICTOR OF INTERNET ADDICTION WITH A MEDIATING EFFECT OF SELF ESTEEM AND MODERATING EFFECT OF RESILIENCE AMONG INTERNATIONAL STUDENTS IN CHINA
DOI:
https://doi.org/10.61841/jg5amg92Keywords:
Loneliness, Self esteem, Internet Addiction (IA), Resilience, International StudentsAbstract
Internet addiction has emerged as a major concern of the current decade and inner psychological factors has found to be the protective or enhancing factor in internet addiction. The aim of the present study was to inquire into the mediating role of self-esteem in the association among loneliness and IA. Secondly, to investigate the moderating role of the resilience in the indirect relationship between loneliness and internet addiction. Participants was 436 (mean age = 23.81 years, SD = 1.91) and they completed the survey questionnaire comprised of loneliness, self-esteem, internet addiction and resilience. The correlation analyses revealed that loneliness was significantly positively, and resilience was negatively associated with IA of the international students. Self-esteem mediated the link between loneliness and internet addiction. However moderated mediation advised resilience only moderated the path between self-esteem and IA, Though resilience did not moderate the relation between loneliness and self esteem’s first-stage moderation. Results suggest high level of self-esteem and resilience can be a preventive component against IA in international students. Overall, these findings highlighted suggestions for internet addiction among international students.
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References
1. Ageing, E.J., (2014). Psychometric analysis of the short form UCLA Loneliness Scale (ULS-6) in older adults. Springer, 11, 313-319.
2. DOI 10.1007/s10433-014-0312-1
3. Armstrong, A. R., Galligan, R. F., & Critchley, C. R. (2011). Emotional intelligence and psychological resilience to negative life events. Personality and Individual Differences, 51(3), 331–336
4. Ascher, S.R., Paquette, J.A., (2003) Loneliness and peer relations in childhood. Curr Dir Psychol Sci 12,75–78
5. Błachnio, A., Przepi´orka, A., Senol-Durak, E., Durak, M., & Sherstyuk, L. (2016). The role of self-esteem in Internet addiction: A comparison between Turkish, Polish and Ukrainian samples. The European Journal of Psychiatry, 30(2), 149–155.
6. Bener, A., (2017). Lifestyle factors and internet addiction among school children. Eur. Psychiatry, 41,S431.
7. Bozoglan, B., Demirer, V., & Sahin, I. (2013). Loneliness, selfesteem, and life satisfaction as predictors of Internet addiction: A cross-sectional study among Turkish university students.Scandinavian Journal of Psychology, 54(4), 313-319
8. Campbell, A.J.; Cumming, S.R.; Hughes, I. Internet use by the socially fearful: Addiction or therapy? Cyber.
Psychol. Behav. 2006, 9, 69–81
9. China Internet Network Information Center (CNNIC), 2018. The 41st China statisticalreport on internet development. http://cnnic.cn/hlwfzyj/hlwxzbg/hlwtjbg/201801/P020180131509544165973.pdf.
10. Choi, E.M., Shin, J.R., Bae, J.H., Kim, M.S., (2014). The relationships among depression, anxiety, impulsivity and aggression and internet addiction of college students-moderating effect of resilience. J. Korea Contents Assoc. 14, 329–341.
11. Choi, S.W., Kim, D.J., Choi, J.S., Ahn, H., Choi, E.J., Song, W.Y., Kim, S., Youn, H., (2015). Comparison of risk and protective factors associated with smartphone addiction and internet addiction. J. Behav. Addict. 4, 308–314.
12. Chai, S., Bagchi-Sen, S., Morrell, C., Rao, H.R., & Upadhyaya, S.J., (2009).Internet and online information privacy: An exploratory study of preteens and early teens. IEEE Transactions, 52(2), 167-182.
13. Davis, R.A., (2001). A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior,17,187–95.
14. DiTommasso, E., Brannen, C., & Best, L.A. (2004). Measurement and validity characteristics of the short version of the Social and Emotional Loneliness Scale for Adults. Educational and Psychological Measurement, 64(1), 99-119. doi: 10.1177/001316440325845
15. Douglas et al., (2008) A.C. Douglas, J.E. Mills, M. Niang, S. Stepchenkova, S. Byun, C. Ruffini, M. Blanton Internet addiction:Meta-synthesis of qualitative research for the decade 1996-2006. Computers in Human Behavior, 24, 3027–3044.
16. Du, H., Jonas, E., Klackl, J., Agroskin, D., Hui, E.K.P., & Ma, L. (2013). Cultural influences on terror management: Independent and interdependent self‐esteem as anxiety buffers. Journal of Experimental Social Psychology, 49, 1002–1011. https://doi.org/10.1016/j.jesp.2013.06.007.
17. Esen, B. K., Aktas, E., & Tuncer, I., (2013). An Analysis of University Students’ Internet Use in Relation to Loneliness and Social Self-efficacy. Procedia-Social and Behavioral Sciences, 84, 1504-1508.
18. Esen, E., & Siyez, D.M. (2011). An investigation of psycho-social variables in predicting internet addiction among adolescents. Turkish Psychological Counseling and Guidance Journal, 4(36),127-138.
19. Gulam, I., Vicar, S., Omar, K, (2017). Relationship between self esteem and loniness among university students living in hostels. International Journal of Research studies in Psychology, 6(2), 21-27
20. Hawi, N.S., Samaha, M. (2016). The relationship among social media, self esteem and life satisfaction in university student’s. Social Science Computer Review 35(5).DOI: 10.1177/0894439316660340
21. Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
22. Kim, J., LaRose, R., & Peng, W. (2009). Loneliness as the cause and the effect of problematic Internet use: The relationship between Internet use and psychological well-being. Cyber Psychology & Behavior, 12(4), 451-455.
23. Kim, K., LaRose, R., & Peng, W., (2009). Loneliness as the Cause and the Effect of Problematic Internet Use: The Relationship between Internet Use and Psychological Well-Being. Cyber psychology & Behavior, 12(4), 451-455. http://doi.org/10.1089/cpb.2008.0327
24. Kim, S.M., Huh, H.J., Cho, H., Kwon, M., Choi, J.H., Ahn, H.J., Lee, S.W., Kim, Y.J., & Kim, D.J., (2014).
The effect of depression, impulsivity, and resilience on smartphone addiction in university students. J. Korean Neuropsychiatr. Assoc. 53, 214–220
25. Bhatia S, Namdeo AG, Nanda S. "Factors Effecting the Gelling and Emulsifying Properties of a Natural Polymer." Systematic Reviews in Pharmacy 1.1 (2010), 86-92. Print. doi:10.4103/0975-8453.59517
26. Kong, F., Zhao, J., & You, X., (2012). Emotional intelligence and life satisfaction in Chinese university students: The mediating role of self-esteem and social support. Personality and Individual Differences,53(8), 1039–1043
27. Lasgaard, M., & Elklit, A., (2009). Prototypic features of loneliness in a stratified sample of adolescents.
Interpersona, 3(1), 85–110.
28. Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological
traits, compulsive behavior and techno stress. Computers in Human Behavior, 31, 373–383. doi:10.1016/j.chb.2013.10.047
29. Leung, L. & Lee, P.S.N., (2012). The influences of information literacy, internet addiction and parenting styles on internet risks. New Media & Society, 14(1), 117-136.
30. Li, D., Zhang, W., Li, X., Zhen, S., Wang, Y., (2010). Stressful life events and problematic internet use by adolescent women and men: A mediated moderation model. Comput. Hum. Behav. 2010, 26, 1199–1207
31. Mei, S., Yau, Y. H., Chai, J., Guo, J., & Potenza, M. N. (2016). Problematic Internet use, well-being, self-esteem and selfcontrol: Data from a high-school survey in China. Addictive Behaviors, 61, 74–79. doi:10.1016/j.addbeh.2016.05.009
32. Lincy, G., Ponnavaikko, M., Anselm, L. Review of optimal siting and sizing techniques for distributed generation in the distribution system (2018) International Journal of Pharmaceutical Research, 10 (4), pp. 80-83.
33. Müller, K.W., Koch, A., Dickenhorst, U., Beutel, M.E., Duven E., & Wölfling, K., (2013).Addressing the Question of Disorder-Specific Risk Factors of Internet Addiction: A Comparison of Personality Traits in Patients with Addictive Behaviors and Comorbid Internet Addiction. BioMesd International Research. http://dx.doi.org/10.1155/2013/546342
34. Marengo, D., Longobardi, C., Fabris, M. A., and Settanni, M. (2018). Highly-visual social media and internalizing symptoms in adolescence: the mediating role of body image concerns. Comput. Hum. Behav. 82, 63–69. doi: 10.1016/j.chb.2018. 01.003
35. Manasijevic, D, Zivkovic, D., Arsic, S., & Milosevic, I. (2015). Exploring student’s purpose of usage and educational usage of facebook.Computers in human Behavior 60, 441-450.DOI: 10.1016/j.chb.2016.02.087
36. Nam, C.R., Lee, D.H., Lee, J.Y., Choi, A.R., Chung, S.J., Kim, D.J., Bhang., S-Y., Kwon, J-G., Kweon, Y-S.,
& Choi, j-s., (2018). The role of resilience in internet addiction among adolescent between sexed: A moderated mediation model. Journal of clinical medicine, 7, 222.; doi:10.3390/jcm7080222
37. Odacı, H., & Kalkan, M., (2010). Problematic Internet use, loneliness and dating anxiety among young adult university students. Computers & Education, 55(3), 1091-1097.
38. Özdemira, Y.,Kuzucua, Y., & Şerife, Ak., (2014). Depression, Lonliness and internet addiction:How
important is low self-control?. Computers in Human Behavior, 34, 284-290.https://doi.org/10.1016/j.chb.2014.02.009
39. Paras virani , rajanit sojitra, hasumati raj, vineet jain (2014) a review on irbesartan co administered with atorvastatin for the treatment of cardiac risk. Journal of Critical Reviews, 1 (1), 25-28.
40. Peplua, L., & Perlman, D. (1982). Perspectives on loneliness. In L. Peplua & D. Perlman (Eds), Loneliness: A sourcebook of current theory, research and therapy (pp. 1-20).NY: John Wiley and Sons
41. Park, S., Kang, M., & Kim, E. (2014). Social relationship on problematic Internet use (PIU) among adolescents in South Korea: A moderated mediation model of self-esteem and selfcontrol. Computers in Human Behavior, 38, 349–357. doi:10.1016/j.chb.2014.06.005
42. Robertson, T.W., Yan, Z., & Rapoza, K.A., (2018). Is resilience is a protective factor for internet addiction.
Computers in Human Behavior, 78, 255-260.https://doi.org/10.1016/j.chb.2017.09.027
43. Sahraian A, Hedayati S B, Mani A, Hedayati A. Internet Addiction Based on Personality Characteristics in Medical Students, Shiraz E-Med J., 17 (10):e41149. doi: 10.17795/semj41149.
44. Sariyska, R., Reuter, M., Bey, K., Sha, P., Li, M., Chen, Y. F., Liu, W. Y., Zhu, Y. K., Li, C. B., Suárez-Rivillas, A., Hellmann, M., Keiper, J., Markett, S., Young, K. S., Montag, C., & Feldmann, M. (2014). Self-esteem, personality and Internet addiction: A cross-cultural comparison study. Personality and Individual Differences, 61, 28–33. doi:10.1016/j.paid.2014.01.001
45. Saini, V.K., Baniya, G.C., Verma, K.K., Soni, A., & Kesharwani, S., (2016).Astudy on relationship of internet addictive behavior with personality traits among medical students. Journal of Mental Health and Human Behavior, 21(2), 108-111.DOI: 10.4103/0971-8990.193429.
46. Settanni, M., Marengo, D., Fabris, M. A., Longobardi, C., and Lindsey, D. (2018). The interplay between ADHD symptoms and time perspective in addictive social media use: a study on adolescent Facebook users. Child. Youth Serv. Rev. 89, 165–170. doi: 10.1016/j.childyouth.2018.04.031
47. Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: assessing the ability to bounce back. International journal of behavioral medicine, 15(3), 194-200.
48. Staksrud, E. and Livingstone, S. Children and online risk: powerless victims or resourceful participants.Information, communication and society, 12(3), 364-387
49. Stevenson, F., & Zimmerman, M.A., (2005). Adolescent Resilience: A Framework for Understanding Healthy Development in the Face of Risk. Annual Review of Public Health, 26 (2005), 399-419.
50. Stickley A, Koyanagi A, Koposov, R., Schwab-Stone, M., & Ruchkin, V., (2014). Loneliness and health risk behaviours among Russian and U.S. adolescents: a cross-sectional study. BMC Public Health, 14.
51. https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-14-366.
52. Tsai, H.S., Jiang, M., Alhabash, S., LaRose, R., Rifon, N.J., & Cotton, S.R., (2016). Understanding online saftey behaviors, A protection motivation theory perspective. Computers & Security, 59, 138-150.
53. Upadhayay, N., & Guragain S. (2017). Internet use and its addiction level in medical student’s.Advances in Medical Sciences and Practice,8, 641-647. https://doi.org/10.2147/AMEP.S142199
54. Veen, W. & Vrakking, B. (2006). Homo sapiens: Growing up in a digital age. London: Network Continuum Education.
55. Wisniewski, P., Jia, H., Wang, N., Zheng, S., Xu, H., Rosson, M.B., Carroll, J.M., (2015).Resilience Mitigates the Negative Effects of Adolescent Internet Addiction and Online Risk Exposure. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, Seoul, Korea, 18–23 April 2015; pp. 4029–4038.
56. Xu, J., Shen, L.X., Yan, C-H., Hu, H., Wang, Lu, Kotha, S.R., Zhang, L-n., Liao, X-p.,Zhang, J., Quyang, F-x., Zhang, J-s., & Shen, X-m., (2012). Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China. BMC Public Health,12, 1106.
57. http://www.biomedcentral.com/1471-2458/12/1106
58. Yao, M.K., Zhong, Z-J., (2014). Lonliness, social contacts and internet addiction:A cross-lagged analysis.
Computers in human behavior,30, 164-170. https://doi.org/10.1016/j.chb.2013.08.007.
59. Yen, C. F., Chou, W. J., Liu, T. L., Yang, P., & Hu, H. F. (2014). The association of Internet addiction symptoms with anxiety, depression and self-esteem among adolescents with attentiondeficit/ hyperactivity disorder. Comprehensive Psychiatry, 55(7), 1601–1608. doi:10.1016/j.comppsych.2014.05.025
60. Zhang, R. (2015). Internet dependence in Chinese high school students: Relationship with sex, self-esteem, and social support. Psychological Reports, 117(1), 8–25. doi:10.2466/18.21.PR0.117c11z
61. Zhang, S., Tian, Y., Sui, Y., Zhang, D., Shi, J., Wang, P., Meng, W., & Si, Y., (2018) Relationships Between
Social Support, Loneliness, and Internet Addiction in Chinese Postsecondary Students: A Longitudinal Cross-Lagged Analysis. Front. Psychol. 9,1707. doi: 10.3389/fpsyg.2018.01707
62. Zhou, Y., Li, D., Jia, J., Li, X., Zhao, L., Sun, W., & Wang, Y.(2017). Interparental conflict and adolescent Internet addiction: The mediating role of emotional insecurity and the moderating role of big five personality traits. Computers in Human Behavior, 73, 470–478. doi:10.1016/j.chb.2017.04.012
63. Eswari,K.E., and Arunkumar,R.K. (2014). Wi-Fi Technology. Excel International Journal of Technology, Engineering and Management, 1(2), 42-45.
64. Job,D.,& Paul,V. (2016). Recursive Backtracking for Solving 9*9 Sudoku Puzzle. Bonfring International Journal of Data Mining, 6(1), 07-09.
65. Luke, D., Zychowicz, K., Richterova, O., Tjurina, I., Polonnikova, J. A sideways look at the neurobiology of Psi: Precognition and circadian rhythms(2012) NeuroQuantology, 10 (3), pp. 580-590.
66. Maleeh, R., Amani, P.Bohm's theory of the relationship nship of mind and matter revisited (2012) NeuroQuantology, 10 (2), pp. 150-163
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