Living in the Now: Decision-Making and Delay Discounting in Adolescent Gamblers
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Several studies examining the relationship of affective decision-making and delay discounting in disordered gambling demonstrated that adult pathological gamblers differ from healthy controls on both reward-related decision tasks. To date no study analyzed the relative contribution of these variables in adolescent gambling. This study was designed to compare affective decision-making and delay discounting in gamblers and nongamblers Italian adolescents, controlling for alcohol consumption. A total of 138 adolescents took part in the research. Two equal-number groups, defined according to the scoring rules for the South Oaks Gambling Screen-Revised for Adolescents, were administered the Iowa Gambling Task (IGT), the Monetary Choice Questionnaire (MCQ), and the Alcohol Use Disorders Identification Test (AUDIT). Zero-order correlations among all variables revealed a moderate negative association between IGT and MCQ scores only in nongamblers group. Results of mixed-model ANOVAs indicated that, compared with nongamblers, adolescent gamblers performed worse on the IGT, showed steeper delay discounting, and scored significantly higher on the AUDIT. Results of logistic regression analysis indicated that IGT, MCQ, and AUDIT scores are all significant predictors of gambling status. This novel finding provides the first evidence of an association among problematic gambling, maladaptive decision-making, and steep delay discounting among adolescents, as already observed in adults.
KeywordsGambling Adolescence Decision-making Delay discounting Alcohol consumption
Compliance with Ethical Standards
Conflict of interest
The authors declare that they have no conflict of interest.
All procedures performed in the study were in accordance with the ethical standards of the Ethics Committee of the Department of Psychology of the Second University of Naples and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
- Banich, M. T., De La Vega, A., Andrews-Hanna, J. R., Mackiewicz Seghete, K., Du, Y., & Claus, E. D. (2013). Developmental trends and individual differences in brain systems involved in intertemporal choice during adolescence. Psychology of Addictive Behaviors, 27, 416–430.CrossRefPubMedGoogle Scholar
- Bechara, A. (2007). Iowa gambling task professional manual. Lutz, FL: Psychological Assessment Resources Inc.Google Scholar
- Colasante, E., Gori, M., Bastiani, L., Scalese, M., Siciliano, V., & Molinaro, S. (2013). Italian adolescent gambling behaviour: Psychometric evaluation of the South Oaks gambling screen: revised for adolescents (SOGS-RA) among a sample of Italian students. Journal of Gambling Studies, 30, 789–801.CrossRefGoogle Scholar
- Cosenza, M., Matarazzo, O., Baldassarre, I., & Nigro, G. (2014b). Deciding with (or without) the future in mind: Individual Differences in decision-making. In S. Bassis, A. Esposito, & F. C. Morabito (Eds.), Recent advances of neural network models and applications (pp. 435–443). Cham: Springer International Publishing.CrossRefGoogle Scholar
- Damasio, A. R. (1994). Descartes’ error: Emotion, reason, and the human brain. New York: Putnam.Google Scholar
- Goudriaan, A. E., Oosterlaan, J., de Beurs, E., & van den Brink, W. (2005). Decision making in pathological gambling: A comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Cognitive Brain Research, 23, 137–151.CrossRefPubMedGoogle Scholar
- Grant, J. E., Kushner, M. G., & Kim, S. W. (2002). Pathological gambling and alcohol use disorder. Alcohol Research and Health, 26, 143–150.Google Scholar
- Green, L., Fisher, E. B, Jr, Perlow, S., & Sherman, L. (1981). Preference reversal and self control: Choice as a function of reward amount and delay. Behaviour Analysis Letters, 1, 43–51.Google Scholar
- Olson, E. A., Hooper, C. J., Collins, P., & Luciana, M. (2007). Adolescents’ performance on delay and probability discounting tasks: Contributions of age, intelligence, executive functioning, and self-reported externalizing behavior. Personality and Individual Differences, 43, 1886–1897.CrossRefPubMedPubMedCentralGoogle Scholar
- Rahman, A. S., Balodis, I. M., Pilver, C. E., Leeman, R. F., Hoff, R. A., Steinberg, M. A., et al. (2014). Adolescent alcohol-drinking frequency and problem-gambling severity: Adolescent perceptions regarding problem-gambling prevention and parental/adult behaviors and attitudes. Substance Abuse, 35, 426–434.CrossRefPubMedPubMedCentralGoogle Scholar
- Saunders, J. B., Aasland, O. G., Babor, T. F., de la Fuente, J. R., & Grant, M. (1993). Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption. II. Addiction, 88, 791–804.CrossRefPubMedGoogle Scholar
- Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Needham Heights, MA: Allyn & Bacon.Google Scholar