Skip to main content

Advertisement

Log in

The Mediator Roles of Life Satisfaction and Self-Esteem between the Affective Components of Psychological Well-Being and the Cognitive Symptoms of Problematic Internet Use

  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

The factors associated with cognitions about problematic Internet use have been empirically tested in various studies. The aim of the present study was to examine the mediator roles of both life satisfaction and self-esteem between affective components of subjective well-being and cognitions about problematic Internet use. For this purpose, the model that was conceptualized by Davis (Comput Human Behav 17:187–195, 2001), Caplan (Comput Human Behav 18:553–575 2002), and Lent et al. (J Vocat Behav 74:190–198 2009) was modified and used as the theoretical framework for this study. The impacts of life satisfaction and self-esteem on the association between affective components of psychological well-being (positive and negative) and cognitions about problematic Internet use were tested by using structural equation modeling (SEM) in a sample of 480 Turkish university students. The results reveal that by playing a mediator role, self-esteem impacted positive/negative affect and life satisfaction and, hence, indirectly influenced cognitions about problematic Internet use. Examining the roles of self-esteem and subjective well-being will provide a new starting point for further studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. Turkish undergraduate students undergo a study cycle of 4 years.

  2. Their education is funded by the family. The majority of students do not have full-time or part time jobs.

References

  • Arbuckle, J. L. (2006). Amos (version 7.0) [Computer program]. Chicago: SPSS.

    Google Scholar 

  • Armstrong, L., Phillips, J. G., & Saling, L. L. (2000). Potential determinants of heavier Internet usage. International Journal of Human-Computer Studies, 53, 537–550.

    Article  Google Scholar 

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246.

    Article  Google Scholar 

  • Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods and Research, 17, 303–316.

    Article  Google Scholar 

  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.

    Google Scholar 

  • Caplan, S. E. (2002). Problematic Internet use and psychosocial well-being: Development of a theory-based cognitive—Behavioral measurement instrument. Computers in Human Behavior, 18, 553–575.

    Article  Google Scholar 

  • Caplan, S. E. (2005). A social skill account of problematic internet use. Journal of Communication, 55, 721–736.

    Article  Google Scholar 

  • Chou, C. (2001). Internet heavy use and addiction among Taiwanese college students: An online interview study. Cyberpsychology & Behavior, 4, 573–585.

    Article  Google Scholar 

  • Chou, C., & Hsiao, M. C. (2000). Internet addiction, usage, gratification, and pleasure experience: The Taiwan college students’ case. Computers & Education, 35, 65–80.

    Article  Google Scholar 

  • Cuhadaroglu, F. (1986). Self-esteem in adolescents. Unpublished dissertation. Hacettepe University.

  • Davis, R. A. (2001). A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17, 187–195.

    Article  Google Scholar 

  • Davis, R. A., Flett, G. L., & Besser, A. (2002). Validation of a new scale for measuring problematic Internet use: Implications for pre-employment screening. Cyberpsychology & Behavior, 5, 331–345.

    Article  Google Scholar 

  • Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95(3), 542–575.

    Article  Google Scholar 

  • Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49, 71–75.

    Article  Google Scholar 

  • Douglas, A. C., Mills, J. E., Niang, M., Stepchenkova, S., Byun, S., Ruffini, C., et al. (2008). Internet addiction: Meta-synthesis of qualitative research for the decade 1996–2006. Computers in Human Behavior, 24, 3027–3044.

    Article  Google Scholar 

  • Durak, M., Senol-Durak, E. & Gencoz, T. (in press). Psychometric properties of the satisfaction with life scale among Turkish University students, correctional officers, and elderly adults. Social Indicators Research. doi:10.1007/s11205-010-9589-4.

  • Durak, M., & Senol-Durak, E. (2010a). Associations of social anxiety and depression with problematic internet use. Manuscript under evaluation.

  • Durak, M., & Senol-Durak, E. (2010b). Which personality traits are associated with cognitions related to problematic internet use? Manuscript under evaluation.

  • Gencoz, T. (2000). Positive and negative affect schedule: A study of validity and reliability. Turkish Journal of Psychology, 15(46), 27–28.

    Google Scholar 

  • Ho, M. Y., Cheung, F. M., & Cheung, S. F. (2010). The role of meaning in life and optimism in promoting well-being. Personality and Individual Differences, 48, 658–663.

    Article  Google Scholar 

  • Ilies, R., & Judge, T. A. (2002). Understanding the dynamic relationships among personality, mood, and job satisfaction: A field experience sampling study. Organizational Behavior and Human Decision Processes, 89, 1119–1139.

    Article  Google Scholar 

  • Kim, H.-K., & Davis, K. E. (2009). Toward a comprehensive theory of problematic internet use: Evaluating the role of self-esteem, anxiety, flow, and the self-rated importance of Internet activities. Computers in Human Behavior, 25(2), 490–500.

    Article  Google Scholar 

  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: The Guilford Press.

    Google Scholar 

  • Ko, C. H., Yen, J. Y., Yen, C. F., Lin, H. C., & Yang, M. J. (2007). Factors predictive for incidence and remission of Internet addiction in young adolescents: A prospective study. Cyberpsychology & Behavior, 10, 545–551.

    Article  Google Scholar 

  • Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukopadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53, 1017–1031.

    Article  Google Scholar 

  • LaRose, R., Lin, C. A., & Eastin, M. S. (2003). Unregulated Internet usage: Addiction, habit, or deficient self-regulation? Media Psychology, 5, 225–253.

    Article  Google Scholar 

  • Lent, R. W., Taveira, M. D., Sheu, H. B., & Singley, D. (2009). Social cognitive predictors of academic adjustment and life satisfaction in Portuguese college students: A longitudinal analysis. Journal of Vocational Behavior, 74, 190–198.

    Article  Google Scholar 

  • Liu, X., & Larose, R. (2008). Does using the Internet make people more satisfied with their lives? The effects of the Internet on college students’ school life satisfaction. Cyberpsychology & Behavior, 11, 310–320.

    Article  Google Scholar 

  • Meerkerk, G. J., van den Eijnden, R. J. J. M., Franken, I. H. A., & Garretsen, H. F. L. (2010). Is compulsive internet use related to sensitivity to reward and punishment, and impulsivity? Computers in Human Behavior, 26(4), 729–735.

    Article  Google Scholar 

  • Morahan-Martin, J. (2005). Internet abuse—Addiction? Disorder? Symptom? Alternative explanations? Social Science Computer Review, 23, 39–48.

    Article  Google Scholar 

  • Morahan-Martin, J., & Schumacher, P. (2000). Incidence and correlates of pathological Internet use among college students. Computers in Human Behavior, 16, 13–29.

    Article  Google Scholar 

  • Mulaik, S. A., James, L. R., Van Alstine, J., Bennet, N., Lind, S., & Stillwell, C. D. (1989). An evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105, 430–445.

    Article  Google Scholar 

  • Ozcan, N. K., & Buzlu, S. (2007). Internet use and its relation with the psychosocial situation for a sample of university students. Cyberpsychology & Behavior, 10, 767–772.

    Article  Google Scholar 

  • Pavot, W., & Diener, E. (2004). The subjective evaluation of well-being in adulthood: Findings and implications. Ageing International, 29(2), 113–135.

    Article  Google Scholar 

  • Rosenberg, M. (1965). Society and adolescent self-image. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Senol-Durak, E., Durak, M., & Kepekcioglu, S. E. (2010). The effects of cognitive appraisals of stress and coping strategies on problematic Internet use. Manuscript under evaluation.

  • Shapira, N. A., Goldsmith, T. D., Keck, P. E., Khosla, U. M., & McElroy, S. L. (2000). Psychiatric features of individuals with problematic internet use. Journal of Affective Disorders, 57, 267–272.

    Article  Google Scholar 

  • Spada, M. M., Langston, B., Nikcevic, A. V., & Moneta, G. B. (2008). The role of metacognitions in problematic internet use. Computers in Human Behavior, 24, 2325–2335.

    Article  Google Scholar 

  • Stepanikova, I., Nie, N. H., & He, X. (2010). Time on the Internet at home, loneliness, and life satisfaction: Evidence from panel time-diary data. Computers in Human Behavior, 26(3), 329–338.

    Article  Google Scholar 

  • Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C. C., Chen, K. C., Yang, Y. C., et al. (2009). The risk factors of Internet addiction—a survey of university freshmen. Psychiatry Research, 167(3), 294–299.

    Article  Google Scholar 

  • Wan, C., & Chiou, W. (2006). Why are adolescents addicted to online gaming? An Interview study in Taiwan. CyberPsychology and Behavior, 9(6), 762–766.

    Article  Google Scholar 

  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect—the PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070.

    Article  Google Scholar 

  • Yang, S. C., & Tung, C. J. (2007). Comparison of Internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior, 23(1), 79–96.

    Article  Google Scholar 

  • Young, K. S. (1999). Internet addiction: Symptoms, evaluation and treatment. In L. Van de Creek, & X. Jackson (Eds.), Innovations in clinical practice: A source book (Vol. 17, 19 ± 31). Sarasota, FL: Professional Resource Press.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Emre Senol-Durak.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Senol-Durak, E., Durak, M. The Mediator Roles of Life Satisfaction and Self-Esteem between the Affective Components of Psychological Well-Being and the Cognitive Symptoms of Problematic Internet Use. Soc Indic Res 103, 23–32 (2011). https://doi.org/10.1007/s11205-010-9694-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-010-9694-4

Keywords

Navigation