The relationship between impulsivity and Internet addiction in a sample of Chinese adolescents

4. Discussion

This study primarily focused on examining the relationship between impulsivity and Internet addiction among Chinese adolescents. As predicted, Internet addiction subjects were more impulsive than controls as measured by both the BIS-11 and GoStop. The Pearson correlation analysis indicated there was a moderate positive relationship between YDQ scores and BIS-11 scores, and the number of failures to inhibit responses. This study supports the concept that Internet addiction should be considered as an impulse control disorder [23]. Similar research in other countries has also pointed out this relationship. For example, a study by Treuer et al. reported that Internet addiction is a new subtype of impulse control disorder [18].

Since the BIS-11 is considered more of a trait measure of impulsivity, this supports the hypothesis that impulsivity is a risk factor for the development of Internet addiction. However, since subjects were not abstinent from Internet overuse, it cannot be ruled out that at least part of the increase in impulsivity in Internet Addiction subjects was due to effects of Internet addiction. Further research is needed to conclusively determine whether impulsivity per se is a significant risk factor for development of Internet addiction, or a result of Internet addiction, or both.

We also found that the number of failures to inhibit responses on the GoStop was correlated with BIS-11 personality factors, suggesting that this task may measure a similar construct of impulsiveness with BIS-11 inventories.

This study differs from previous studies showing increased impulsivity in that it included a variety of different measures of impulsiveness, including behavioral and personality measures. In previous studies a single measure of impulsivity was administered to Internet Addiction subjects. For example, Lin and Tsai examined excessive Internet use of Taiwanese adolescents and sensation seeking by using the Sensation Seeking Scale Taiwan version. They found Internet-dependent adolescents scored significantly higher in terms of overall sensation seeking and disinhibition than the Internet non-dependents, disinhibition being the most important predictor of Internet dependence [14].

In addition, our results indicate that some adolescents use the Internet excessively, and a total of 2.4% could be described to suffer from “Internet addiction”. Owing to the different sample, and different social and cultural contexts, and also the rigid modified YDQ criteria by Beard which we used, it is difficult to compare the findings effectively. Nonetheless, the Internet Addiction percentage varied considerably.

The students with Internet addiction suffered from comorbid psychiatric disorders, especially comorbid ADHD. The result is similar to another study which found significant associations between the level of ADHD symptoms and the severity of Internet Addiction in children [21]. Though we cannot conclude that Internet addiction is a cause or consequence of these disorders, clinicians must consider the comorbid psychiatric disorder in cases of Internet addiction.

This study used YDQ scores of higher than 6 as an indicator of Internet addiction. Although this questionnaire is a frequently used instrument for assessing Internet addiction, its validity as a diagnostic instrument has been questioned [3]. Future studies may utilize other measures of assessing diagnostic criteria for Internet addiction or severity of Internet addiction problems to assess the relationship between impulsivity and Internet addiction problems.

In conclusion, the results of this study show a specific relationship between impulsivity and Internet addiction and support the need for further research on impulsivity as a risk factor for the development of Internet addiction. Subsequent studies may investigate further the origin of impulsivity and its relationship to Internet addiction.

References

  1. G.M. Barnes, J.W. Welte, J.H. Hoffman and B.A. Dintcheff, Shared predictors of youthful gambling, substance use, and delinquency, Psychol Addict Behav 19 (2005), pp. 165 - 174.
  2. K.W. Beard and E.M. Wolf, Modification in the proposed diagnostic criteria for Internet addiction, Cyberpsychol Behav 4 (2001), pp. 377 - 383.
  3. K.W. Beard, Internet addiction: a review of current assessment techniques and potential assessment questions, Cyberpsychol Behav 8 (2005), pp. 7 - 14.
  4. V. Brenner, Psychology of computer use: XLVII. parameters of Internet use, abuse and addiction: the first 90 days of the Internet usage survey, Psycho Rep 80 (1997), pp. 879 - 882.
  5. S.E. Caplan, Problematic Internet use and psychosocial well-being: development of a theory based cognitive-behavioral measurement instrument, Comput Human Behav 18 (2002), pp. 553 - 575.
  6. P. Cavedini, G. Riboldi, R. Keller, A. D’Annucci and L. Bellodi, Frontal lobe dysfunction in pathological gambling patients, Biol Psychiatry 51 (2002), pp. 334 - 341.
  7. C. Chou and M.C. Hsiao, Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students’ case, Comput Educ 35 (2000), pp. 65 - 80.
  8. R.A. Davis, A cognitive-behavioral model of pathological Internet use, Comput Human Behav 17 (2001), pp. 187 - 195.
  9. D.M. Dougherty, C.W. Mathias and D.M. Marsh, Laboratory behavioral measures of impulsivity, Behav Res Methods 37 (2005), pp. 82 - 90.
  10. A.S. Hall and J. Parsons, Internet addiction: college student case study using best practices in cognitive behavior therapy, J Mental Health Counseling 23 (2001), pp. 312 - 327.
  11. A. Johansson and K.G. Go"testam, Internet addiction: characteristics of a questionnaire and prevalence in Norwegian youth (12 - 18 years), Scand J Psychol 45 (2004), pp. 223 - 229.
  12. L. Leung, Net-Generation attributes and seductive properties of the Internet as predictors of online activities and Internet addiction, Cyberpsychol Behav 7 (2004), pp. 333 - 348.
  13. F. Li, Ly. Su and Y.G. Geng, Reliability and validity of the Barratt Impulsiveness Scale in Chinese children, Chin J Clin Psychol 14 (2006), pp. 115 - 117.
  14. S.S.J. Lin and C.C. Tsai, Sensation seeking and Internet dependence of Taiwanese high school adolescents, Comput Human Behav 18 (2002), pp. 411 - 426.
  15. F.G. Moeller, D.M. Dougherty, E.S. Barratt, J.M. Schmitz, A.C. Swann and J. Grabowski, The impact of impulsivity on cocaine use and retention in treatment, J Subst Abuse Treat 21 (2001), pp. 193 - 198.
  16. J. Morahan-Martin and P. Schumacher, Incidence and correlates of pathological Internet use among college students, Comput Human Behav 16 (2000), pp. 13 - 29.
  17. J.H. Patton, M.S. Stanford and E.S. Barratt, Factor structure of the Barratt impulsiveness scale, J Clin Psychol 51 (1995), pp. 768 - 774.
  18. T. Treuer, Z. Fabian and J. Furedi, Internet addiction associated with features of impulse control disorder: is it a real psychiatric disorder?, J Affect Disord 66 (2001), p. 283.
  19. F. Vitaro, L. Arseneault and R.E. Tremblay, Impulsivity predicts problem gambling in low SES adolescent males, Addiction 94 (1999), pp. 565 - 575.
  20. H.R. Wu and K.J. Zhu, Path analysis on related factors causing Internet addiction disorder in college students, Chin J Public Health 20 (2004), pp. 1363 - 1364.

Fenglin Cao, Linyan Su, TieQiao Liu and Xueping Gao

The 2nd Xiangya Hospital of Central South University, No. 139 Renmin Road, Changsha, Hunan 410011, P.R. China
School of Nursing, Shandong University, No. 44 Wenhua Xi Road, Jinan, Shandong 250012, P.R. China

European Psychiatry
Volume 22, Issue 7, October 2007, Pages 466-471

Received 21 March 2007;
revised 27 May 2007;
accepted 30 May 2007.

Page 3 of 31 2 3

Provided by ArmMed Media