Abstract
The purpose of this study was to examine the role of alexithymia and cognitive distortions in adolescent gambling. Five hundred and forty-six Italian high school students, between the ages of 17 and 19 years, were administered the South Oaks Gambling Screen Revised for Adolescents (SOGS-RA), the Toronto Alexithymia Scale (TAS-20), and the Gambling Related Cognitions Scale (GRCS). Results showed that problem gamblers scored highest on the GRCS and the TAS-20 scales. First-order correlations indicated strong positive associations among SOGS-RA and all GRCS subscales, as well among SOGS-RA and the TAS-20 factors, Difficulty Identifying Feelings and Difficulty Describing Feelings. The results of hierarchical regression analysis showed also that, along with gender, the most powerful predictors of gambling involvement were the GRCS subscales, Inability to Stop gambling and Interpretative Bias, and that SOGS-RA scores were moderately associated with the TAS-20 factor, Difficulty Identifying Feelings only. Mediation analyses revealed a significant indirect effect on the relation between alexithymia and gambling severity through specific gambling-related biases.
Similar content being viewed by others
Notes
We are very grateful to Prof. Tian Oei, who gave us permission to use the GRCS scale.
The SOGS-RA is a modified version of the South Oaks Gambling Screen [43]. The construction of the SOGS-RA included rewording of several items from the SOGS to accommodate adolescent experience and reading levels, and the number of scoring items was reduced from 20 to 12.
More specifically, the distributions of GRCS total and all GRCS subscales scores were positively skewed. As regards to the alexithymia measure, the distributions of the dimensions Difficulty to Identifying Feelings and Difficulty to Describing Feelings were positively skewed, whereas the distributions of the total TAS-20 and the subscale Externally-Oriented Thinking scores were negatively skewed.
References
Volberg R, Gupta R, Griffiths M, Olason D, Delfabbro P. An international perspective on youth gambling prevalence studies. Int J Adolesc Med Health. 2010;22:3–38.
Blinn-Pike L, Worthy SL, Jonkman JN. Adolescent gambling: a review of an emerging field of research. J Adolesc Health. 2010;47:223–36.
Derevensky JL, Gupta R. Internet gambling amongst adolescents: a growing concern. Int J Ment Health Addiction. 2007;5(2):93–101.
Derevensky JL, Sklar A, Gupta R, Messerlian C. An empirical study examining the impact of gambling advertisements on adolescent gambling attitudes and behaviors. Int J Ment Health Addict. 2010;8:21–34.
Parker JD, Taylor RN, Eastabrook JM, Schell SL, Wood LM. Problem gambling in adolescence: relationships with internet misuse, gaming abuse and emotional intelligence. Pers Individ Diff. 2008;45:174–80.
Villella C, Martinotti G, Di Nicola M, Cassano M, La Torre G, Gliubizzi MD, et al. Behavioural addictions in adolescents and young adults: results from a prevalence study. J Gambl Stud. 2011;27(2):203–14.
Nower L, Blaszczynski A. The pathways model as harm minimization for youth gamblers in educational settings. Child Adolesc Social Work J. 2004;21(1):25–45.
Wickwire EM, Whelan JP, Meyers AW. Outcome expectancies and gambling behavior among urban adolescents. Psychol Addict Behav. 2010;24(1):75–88.
Colasante E, Gori M, Bastiani L, Scalese M, Siciliani V, Molinaro S. Italian adolescent gambling behaviour: psychometric evaluation of the South Oaks Gambling Screen: Revised for Adolescents (SOGS-RA) among a sample of Italian students. J Gambl Stud. 2013. doi:10.1007/s10899-013-9385-6.
Spritzer DT, Rohde LA, Benzano DB, Laranjeira RR, Pinsky I, Zaleski M, et al. Prevalence and correlates of gambling problems among a nationally representative sample of Brazilian adolescents. J Gambl Stud. 2011;27:649–61.
Taylor RN, Parker JDA, Keefer KV, Kloosterman PH, Summerfeldt LJ. Are gambling related cognitions in adolescence multidimensional? Factor structure of the Gambling Related Cognitions Scale. J Gambl Stud. 2013. doi:10.1007/s10899-013-9368-7.
Dickson L, Derevensky JL, Gupta R. Youth gambling problems: examining risk and protective factors. Int Gambl Stud. 2008;8(1):25–47.
Faregh N, Derevensky JL. A comparative latent class analysis of endorsement profiles of DSM-IV diagnostic criteria for problem gambling among adolescents from a community and a treatment sample. Addict Res Theory. 2011;19(4):323–33.
Shead NW, Derevensky JL, Gupta R. Risk and protective factors associated with youth gambling. Int J Adolesc Med Health. 2010;22:39–58.
Wickwire EM, Whelan JP, Meyers AW, Murray DM. Environmental correlates of gambling behavior in urban adolescents. J Abnorm Child Psychol. 2007;35(2):179–90.
Olason DT, Kristjansdottir E, Einarsdottir H, Haraldsson H, Bjarnason G, Derevensky JL. Internet gambling and problem gambling among 13 to 18 year old adolescents in Iceland. Int J Ment Health Addict. 2011;9:257–63.
Mitrovic D, Brown J. Poker mania and problem gambling: a study of distorted cognitions, motivation and alexithymia. J Gambl Stud. 2009;25:489–502.
Nemiah JC, Freyberger H, Sifneos PE. Alexithymia: a view of the psychosomatic process. In: Hill OW, editor. Modern trends in psychosomatic medicine, vol. 3. London: Butterworths; 1976. p. 430–9.
Nemiah JC, Sifneos PE. Psychosomatic illness: a problem in communication. Psychother Psychosom. 1970;18:154–60.
Sifneos PE. Is dynamic psychotherapy contraindicated for a large number of patients with psychosomatic diseases? Psychother Psychosom. 1973;21:133–6.
Taylor GJ. The alexithymia construct: conceptualization, validation, and relationship with basic dimensions of personality. New Trends Exp Clin Psychiatry. 1994;10:61–74.
Taylor GJ, Bagby RM, Parker JDA. The alexithymia construct: a potential paradigm for psychosomatic medicine. Psychosomatics. 1991;32:153–64.
Taylor GJ, Bagby RM, Parker JDA. Disorders of affect regulation: alexithymia in medical and psychiatric illness. Cambridge: Cambridge University Press; 1997.
Toneatto T, Lecce J, Bagby RM. Alexithymia and pathological gambling. J Addict Dis. 2009;28:193–8.
Bonnaire C, Varescon I, Bungener C. Joueurs de machines à sous dans une population française: étude de la dépression, de l’alexithymie et de la recherche de sensations. Ann Med Psychol. 2010;168:350–6.
Bonnaire C, Bungener C, Varescon I. Alexithymia and gambling: a risk factor for all gamblers? J Gambl Stud. 2013;29(1):83–96.
Lumley MA, Roby KJ. Alexithymia and pathological gambling. Psychother Psychosom. 1995;63:201–6.
Parker JDA, Wood LM, Bond BJ, Shaughnessy P. Alexithymia in young adulthood: a risk factor for pathological gambling. Psychother Psychosom. 2005;74:51–5.
Williams AD, Grisham JR, Erskine A, Cassedy E. Deficits in emotion regulation associated with pathological gambling. Br J Clin Psychol. 2012;51:223–38.
Parker JDA, Shaughnessy PA, Wood LM, Majeski SA, Eastabrook JM. Cross-cultural alexithymia: validity of the 20-item Toronto Alexithymia Scale in North American aboriginal populations. J Psychosom Res. 2005;58:83–8.
Fortune EE, Goodie AS. Cognitive distortions as a component and treatment focus of pathological gambling: a review. Psychol Addict Behav. 2012;26:298–310.
Ladouceur R, Walker M. A cognitive perspective on gambling. In: Salkosvis PM, editor. Trends in cognitive and behavioural therapies. New York: Wiley; 1996. p. 89–110.
Johansson A, Grant JE, Kim SW, Odlaug BL, Gotestam KG. Risk factors for problematic gambling: a critical literature review. J Gambl Stud. 2009;25:67–92.
Oei TP, Lin J, Raylu N. The relationship between gambling cognitions, psychological states, and gambling: a cross-cultural study of Chinese and Caucasians in Australia. J Cross Cult Psychol. 2008;39:147–61.
Clark L. Decision-making during gambling: an integration of cognitive and psychobiological approaches. Philos Trans R Soc Lond B Biol Sci. 2010;365:319–30.
Goodie AS, Fortune EE. Measuring cognitive distortions in pathological gambling: review and meta-analyses. Psychol Addict Behav. 2013;27(3):730–43.
Clark L, Limbrick-Oldfield EH. Disordered gambling: a behavioral addiction. Curr Opin Neurobiol. 2013;23:655–9.
Winters KC, Stinchfield RD, Fulkerson J. Toward the development of an adolescent gambling problem severity scale. J Gambl Stud. 1993;9:63–84.
Bagby RM, Parker JDA, Taylor GJ. The twenty-item Toronto Alexithymia Scale-I. Item selection and cross-validation of the factor structure. J Psychosom Res. 1994;38:23–32.
Bagby RM, Taylor GJ, Parker JDA. The twenty-item Toronto Alexithymia Scale II. Convergent discriminant, and concurrent validity. J Psychosom Res. 1994;38:33–40.
Raylu N, Oei TPS. The Gambling Related Cognitions Scale (GRCS): development, confirmatory factor validation and psychometric properties. Addiction. 2004;99:757–69.
Bressi C, Taylor G, Parker JDA, Bressi S, Brambilla V, Aguglia E, et al. Cross validation of the factor structure of the 20-item Toronto Alexithymia Scale: an Italian multicenter study. J Psychosom Res. 1996;41:551–9.
Lesieur HR, Blume SB. The South Oaks Gambling Screen (SOGS): a new instrument for the identification of problem gamblers. Am J Psychiatry. 1987;144:1184–8.
Tabachnick BG, Fidell LS. Using multivariate statistics. 4th ed. Needham Heights, MA: Allyn & Bacon; 2001.
Ryan TP. Modern regression models. New York: Wiley; 1997.
Baron RM, Kenny DA. The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51:1173–82.
Shrout PE, Bolger N. Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol Methods. 2002;7:422–45.
Preacher K, Hayes A. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput. 2004;36:717–31.
Sobel ME. Asymptotic confidence intervals for indirect effects in structural equation models. In: Leinhardt S, editor. Sociological methodology. San Francisco: Jossey-Bass; 1982. p. 290–312.
Bastiani L, Gori M, Colasante E, Siciliano V, Capitanucci D, Jarre P, et al. Complex factors and behaviors in the gambling population of Italy. J Gambl Stud. 2013;29(1):1–13.
Oei TPS, Lin J, Raylu N. Validation of the Chinese version of the gambling related cognitions scale (GRCS-C). J Gambl Stud. 2007;23:309–22.
Hardoon K, Derevensky JL. Child and adolescent gambling behavior: our current knowledge. Clin Child Psychol Psychiatry. 2002;7(2):263–81.
Hardoon K, Gupta R, Derevensky JL. Psychosocial variables associated with adolescent gambling. Psychol Addict Behav. 2004;18:170–9.
Delfabbro PH, Lambos C, King DL, Puglies S. Knowledge and beliefs about gambling in Australian secondary school students and their implications for educational strategies. J Gambl Stud. 2009;25:523–39.
Derevensky JL, Gupta R. Gambling problems in youth: theoretical and applied perspective. New York: Kluwer Academic/Plenum; 2005.
Lakey CE, Goodie AS, Lance CE, Stinchfield R, Winters KC. Examining DSM-IV criteria in gambling pathology: psychometric properties and evidence from cognitive biases. J Gambl Stud. 2007;23:479–98.
Lambos C, Delfabbro PH. Numerical reasoning ability and irrational beliefs in problem gambling. Int Gambl Stud. 2007;7:157–72.
Moore SM, Ohtsuka K. The prediction of gambling behaviour and problem gambling from attitudes and perceived norms. Soc Behav Pers. 1999;27:455–66.
Ariyabuddhiphongs V. Lottery gambling: a review. J Gambl Stud. 2011;27(1):15–33.
Oei TPS, Burrow R. Alcohol expectancy and drinking refusal self-efficacy: a test of specificity theory. Addict Behav. 2000;25:499–507.
Parker JDA, Eastabrook JM, Keefer KV, Wood LM. Can alexithymia be assessed in adolescents? Psychometric properties of the 20-Item Toronto Alexithymia Scale in younger, middle, and older adolescents. Psychol Assess. 2010;22:798–808.
Thomsen KR, Callesen MB, Linnet J, Kringelbach ML, Møller A. Severity of gambling is associated with severity of depressive symptoms in pathological gamblers. Behav Pharmacol. 2009;20(5–6):527–36.
Becoña E, Lorenzo MDC, Fuentes MJ. Pathological gambling and depression. Psychol Rep. 1996;78(2):635–40.
Acknowledgments
This study was supported by a research grant from the Department of Psychology of the Second University of Naples awarded to Marina Cosenza.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Cosenza, M., Baldassarre, I., Matarazzo, O. et al. Youth at Stake: Alexithymia, Cognitive Distortions, and Problem Gambling in Late Adolescents. Cogn Comput 6, 652–660 (2014). https://doi.org/10.1007/s12559-014-9274-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12559-014-9274-z