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Risk-Taking, Delay Discounting, and Time Perspective in Adolescent Gamblers: An Experimental Study

Junho 2, 2017 by in EDUCAÇÃO, ESTUDOS E PUBLICAÇÕES, Jogo de Menores No Comments
Título: Risk-Taking, Delay Discounting, and Time Perspective in Adolescent Gamblers: An Experimental Study
Autores: Marina Cosenza, Mark D. Griffiths, Giovanna Nigro, Maria Ciccarelli
Ano: 2017

Abstract

Previous research has demonstrated that adult pathological gamblers (compared to controls) show risk-proneness, foreshortened time horizon, and preference for immediate rewards. No study has ever examined the interplay of these factors in adolescent gambling. A total of 104 adolescents took part in the research. Two equal-number groups of adolescent non-problem and problem gamblers, defined using the South Oaks Gambling Screen-Revised for Adolescents, were administered the Balloon Analogue Risk Task (BART), the Consideration of Future Consequences (CFC-14) scale, and the Monetary Choice Questionnaire (MCQ). Adolescent problem gamblers were found to be more risk-prone, more oriented to the present, and to discount delay rewards more steeply than adolescent non-problem gamblers. Results of logistic regression analysis revealed that BART, MCQ, and CFC scores predicted gambling severity. These novel finding provides the first evidence of an association among problematic gambling, high risk-taking proneness, steep delay discounting, and foreshortened time horizon among adolescents. It may be that excessive gambling induces shortsighted behaviors that, in turn, facilitate gambling involvement.

References

  1. Albert, D., & Steinberg, L. (2011). Judgment and decision making in adolescence. Journal of Research on Adolescence, 21(1), 211–224.CrossRefGoogle Scholar
  2. Alessi, S. M., & Petry, N. M. (2003). Pathological gambling severity is associated with impulsivity in a delay discounting procedure. Behavioural Processes, 64, 345–354.CrossRefPubMedGoogle Scholar
  3. Anokhin, A. P., Golosheykin, S., & Mulligan, R. C. (2015). Long-term test–retest reliability of delayed reward discounting in adolescents. Behavioural Processes, 111, 55–59.CrossRefPubMedGoogle Scholar
  4. 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(2), 416–430.CrossRefPubMedGoogle Scholar
  5. Billieux, J., Lagrange, G., Van der Linden, M., Lançon, C., Adida, M., & Jeanningros, R. (2012). Investigation of impulsivity in a sample of treatment-seeking pathological gamblers: A multidimensional perspective. Psychiatry Research, 198(2), 291–296.CrossRefPubMedGoogle Scholar
  6. Bjork, J. M., & Pardini, D. A. (2015). Who are those “risk-taking adolescents”? Individual differences in developmental neuroimaging research. Developmental Cognitive Neuroscience, 11, 56–64.CrossRefPubMedGoogle Scholar
  7. Blakemore, S. J., & Robbins, T. W. (2012). Decision-making in the adolescent brain. Nature Neuroscience, 15(9), 1184–1191.CrossRefPubMedGoogle Scholar
  8. Blanco, C., Hasin, D. S., Petry, N., Stinson, F. S., & Grant, B. F. (2006). Sex differences in subclinical and DSM-IV pathological gambling: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychological Medicine, 36(7), 943–953.CrossRefPubMedGoogle Scholar
  9. Braams, B. R., van Duijvenvoorde, A. C., Peper, J. S., & Crone, E. A. (2015). Longitudinal changes in adolescent risk-taking: A comprehensive study of neural responses to rewards, pubertal development, and risk-taking behavior. Journal of Neuroscience, 35(18), 7226–7238.CrossRefPubMedGoogle Scholar
  10. Ciccarelli, M., Malinconico, R., Griffiths, M. D., Nigro, G., & Cosenza, M. (2016). Reward preferences of pathological gamblers under conditions of uncertainty: An experimental study. Journal of Gambling Studies,. doi: 10.1007/s10899-016-9593-y. Epub ahead of print.Google Scholar
  11. Clark, L. (2010). Decision-making during gambling: An integration of cognitive and psychobiological approaches. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 365(1538), 319–330.CrossRefPubMedPubMedCentralGoogle Scholar
  12. Colasante, E., Gori, M., Bastiani, L., Scalese, M., Siciliano, V., & Molinaro, S. (2014). 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(4), 789–801.CrossRefPubMedGoogle Scholar
  13. Cosenza, M., & Nigro, G. (2015). Wagering the future: Cognitive distortions, impulsivity, delay discounting, and time perspective in adolescent gambling. Journal of Adolescence,45, 56–66.CrossRefPubMedGoogle Scholar
  14. Crone, E. A., Duijvenvoorde, A. C., & Peper, J. S. (2016). Annual research review: Neural contributions to risk-taking in adolescence–developmental changes and individual differences. Journal of Child Psychology and Psychiatry,. doi: 10.1111/jcpp.12502. Epub ahead of print.PubMedGoogle Scholar
  15. Dahne, J., Richards, J., Ernst, M., MacPherson, L., & Lejuez, C. W. (2013). Assessment of risk taking in addiction research. In J. MacKillop & H. de Wit (Eds.), The Wiley-Blackwell handbook of addiction psychopharmacology (pp. 209–231). New York: Wiley.CrossRefGoogle Scholar
  16. Daugherty, J. R., & Brase, G. L. (2010). Taking time to be healthy: Predicting health behaviors with delay discounting and time perspective. Personality and Individual Differences, 48(2), 202–207.CrossRefGoogle Scholar
  17. Defoe, I. N., Dubas, J. S., Figner, B., & van Aken, M. A. (2015). A meta-analysis on age differences in risky decision making: Adolescents versus children and adults. Psychological Bulletin, 141(1), 48–84.CrossRefPubMedGoogle Scholar
  18. Dixon, M. R., Marley, J., & Jacobs, E. A. (2003). Delay discounting by pathological gamblers. Journal of Applied Behavior Analysis, 36(4), 449–458.CrossRefPubMedPubMedCentralGoogle Scholar
  19. Dougherty, D. M., Lake, S. L., Mathias, C. W., Ryan, S. R., Bray, B. C., Charles, N. E., et al. (2015). Behavioral impulsivity and risk-taking trajectories across early adolescence in youths with and without family histories of alcohol and other drug use disorders. Alcoholism, Clinical and Experimental Research, 39(8), 1501–1509.CrossRefPubMedPubMedCentralGoogle Scholar
  20. Ernst, M., & Fudge, J. L. (2009). A developmental neurobiological model of motivated behavior: Anatomy, connectivity and ontogeny of the triadic nodes. Neuroscience and Biobehavioral Reviews, 33(3), 367–382.CrossRefPubMedGoogle Scholar
  21. Ernst, M., Pine, D. S., & Hardin, M. (2006). Triadic model of the neurobiology of motivated behavior in adolescence. Psychological Medicine, 36(03), 299–312.CrossRefPubMedPubMedCentralGoogle Scholar
  22. Figner, B., Mackinlay, R. J., Wilkening, F., & Weber, E. U. (2009). Affective and deliberative processes in risky choice: Age differences in risk taking in the Columbia Card Task. Journal of Experimental Psychology. Learning, Memory, and Cognition, 35(3), 709–730.CrossRefPubMedGoogle Scholar
  23. Geier, C., & Luna, B. (2009). The maturation of incentive processing and cognitive control. Pharmacology, Biochemistry and Behavior, 93(3), 212–221.CrossRefPubMedPubMedCentralGoogle Scholar
  24. Green, L., Fisher, E. B., 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
  25. Green, L., Fry, A. F., & Myerson, J. (1994). Discounting of delayed rewards: A life-span comparison. Psychological Science, 5(1), 33–36.CrossRefGoogle Scholar
  26. Harrison, G. W., Lau, M. I., & Williams, M. B. (2002). Estimating individual discount rates in Denmark: A field experiment. American Economic Review, 92(5), 1606–1617.CrossRefGoogle Scholar
  27. Hodgins, D. C., & Engel, A. (2002). Future time perspective in pathological gamblers. Journal of Nervous and Mental Disease, 190, 775–780.CrossRefPubMedGoogle Scholar
  28. Holt, D. D., Green, L., & Myerson, J. (2003). Is discounting impulsive?: Evidence from temporal and probability discounting in gambling and non-gambling college students. Behavioural Processes, 64(3), 355–367.CrossRefPubMedGoogle Scholar
  29. Johnson, M. W., & Bickel, W. K. (2002). Within-subject comparison of real and hypothetical money rewards in delay discounting. Journal of the Experimental Analysis of Behavior, 77(2), 129–146.CrossRefPubMedPubMedCentralGoogle Scholar
  30. Joireman, J., Balliet, D., Sprott, D., Spangenberg, E., & Schultz, J. (2008). Consideration of future consequences, ego-depletion, and self-control: Support for distinguishing between CFC-Immediate and CFC-Future sub-scales. Personality and Individual Differences, 45(1), 15–21.CrossRefGoogle Scholar
  31. Joireman, J., Shaffer, M. J., Balliet, D., & Strathman, A. (2012). Promotion orientation explains why future-oriented people exercise and eat healthy evidence from the two-factor consideration of future consequences-14 scale. Personality and Social Psychology Bulletin, 38(10), 1272–1287.CrossRefPubMedGoogle Scholar
  32. Kirby, K. N. (2009). One-year temporal stability of delay-discount rates. Psychonomic Bulletin & Review, 16(3), 457–462.CrossRefGoogle Scholar
  33. Kirby, K. N., & Maraković, N. N. (1996). Delay-discounting probabilistic rewards: Rates decrease as amounts increase. Psychonomic Bulletin & Review, 3(1), 100–104.CrossRefGoogle Scholar
  34. Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology: General, 128(1), 78–87.CrossRefGoogle Scholar
  35. Kräplin, A., Dshemuchadse, M., Behrendt, S., Scherbaum, S., Goschke, T., & Bühringer, G. (2014). Dysfunctional decision-making in pathological gambling: Pattern specificity and the role of impulsivity. Psychiatry Research, 215, 675–682.CrossRefPubMedGoogle Scholar
  36. Krmpotich, T., Mikulich-Gilbertson, S., Sakai, J., Thompson, L., Banich, M. T., & Tanabe, J. (2015). Impaired decision-making, higher impulsivity, and drug severity in substance dependence and pathological gambling. Journal of Addiction Medicine, 9(4), 273–280.CrossRefPubMedPubMedCentralGoogle Scholar
  37. Ladouceur, R., Mayrand, M., & Tourigny, Y. (1987). Risk-taking behavior in gamblers and non-gamblers during prolonged exposure. Journal of Gambling Behavior, 3(2), 115–122.CrossRefGoogle Scholar
  38. Lagorio, C. H., & Madden, G. J. (2005). Delay discounting of real and hypothetical rewards III: Steady-state assessments, forced-choice trials, and all real rewards. Behavioural Processes, 69(2), 173–187.CrossRefPubMedGoogle Scholar
  39. Ledgerwood, D. M., Alessi, S. M., Phoenix, N., & Petry, N. M. (2009). Behavioral assessment of impulsivity in pathological gamblers with and without substance use disorder histories versus healthy controls. Drug and Alcohol Dependence, 105(1), 89–96.CrossRefPubMedPubMedCentralGoogle Scholar
  40. Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., et al. (2002). Evaluation of a behavioral measure of risk taking: The Balloon Analogue Risk Task (BART). Journal of Experimental Psychology: Applied, 8(2), 75–84.PubMedGoogle Scholar
  41. MacKillop, J., Anderson, E. J., Castelda, B. A., Mattson, R. E., & Donovick, P. J. (2006). Divergent validity of measures of cognitive distortions, impulsivity, and time perspective in pathological gambling. Journal of Gambling Studies, 22, 339–354.CrossRefPubMedGoogle Scholar
  42. MacKillop, J., Miller, J. D., Fortune, E., Maples, J., Lance, C. E., Campbell, W. K., et al. (2014). Multidimensional examination of impulsivity in relation to disordered gambling. Experimental and Clinical Psychopharmacology, 22, 176–185.CrossRefPubMedPubMedCentralGoogle Scholar
  43. MacLaren, V. V., Fugelsang, J. A., Harrigan, K. A., & Dixon, M. J. (2012). Effects of impulsivity, reinforcement sensitivity, and cognitive style on pathological gambling symptoms among frequent slot machine players. Personality and Individual Differences,52, 390–394.CrossRefGoogle Scholar
  44. MacPherson, L., Magidson, J. F., Reynolds, E. K., Kahler, C. W., & Lejuez, C. W. (2010). Changes in sensation seeking and risk-taking propensity predict increases in alcohol use among early adolescents. Alcoholism, Clinical and Experimental Research, 34(8), 1400–1408.PubMedPubMedCentralGoogle Scholar
  45. Madden, G. J., Begotka, A. M., Raiff, B. R., & Kastern, L. L. (2003). Delay discounting of real and hypothetical rewards. Experimental and Clinical Psychopharmacology, 11(2), 139–145.CrossRefPubMedGoogle Scholar
  46. Martins, S. S., Tavares, H., da Silva Lobo, D. S., Galetti, A. M., & Gentil, V. (2004). Pathological gambling, gender, and risk-taking behaviors. Addictive Behaviors, 29, 1231–1235.CrossRefPubMedGoogle Scholar
  47. Mazur, J. E. (1984). Tests of an equivalence rule for fixed and variable reinforcer delays. Journal of Experimental Psychology: Animal Behavior Processes, 10(4), 426–436.Google Scholar
  48. Meyer, G., Hayer, T., & Griffiths, M. D. (2009). Problem gaming in Europe: Challenges, prevention, and interventions. New York: Springer.Google Scholar
  49. Michalczuk, R., Bowden-Jones, H., Verdejo-Garcia, A., & Clark, L. (2011). Impulsivity and cognitive distortions in pathological gamblers attending the UK National Problem Gambling Clinic: A preliminary report. Psychological Medicine, 41, 2625–2635.CrossRefPubMedPubMedCentralGoogle Scholar
  50. Miedl, S. F., Büchel, C., & Peters, J. (2014). Cue-induced craving increases impulsivity via changes in striatal value signals in problem gamblers. Journal of Neuroscience, 34, 4750–4755.CrossRefPubMedGoogle Scholar
  51. Mishra, S., Lalumière, M. L., & Williams, R. J. (2010). Gambling as a form of risk-taking: Individual differences in personality, risk-accepting attitudes, and behavioral preferences for risk. Personality and Individual Differences, 49(6), 616–621.CrossRefGoogle Scholar
  52. Nigro, G., & Cosenza, M. (2016). Living in the now: Decision-making and delay discounting in adolescent gamblers. Journal of Gambling Studies,. doi: 10.1007/s10899-016-9595-9. Epub ahead of print.Google Scholar
  53. 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(7), 1886–1897.CrossRefPubMedPubMedCentralGoogle Scholar
  54. Petry, N. M. (2001a). Pathological gamblers, with and without substance abuse disorders, discount delayed rewards at high rates. Journal of Abnormal Psychology, 110, 482–487.CrossRefPubMedGoogle Scholar
  55. Petry, N. M. (2001b). Substance abuse, pathological gambling, and impulsiveness. Drug and Alcohol Dependence, 63, 29–38.CrossRefPubMedGoogle Scholar
  56. Petry, N. M., & Casarella, T. (1999). Excessive discounting of delayed rewards in substance abusers with gambling problems. Drug and Alcohol Dependence, 56, 25–32.CrossRefPubMedGoogle Scholar
  57. Petry, N. M., & Madden, G. J. (2010). Discounting and pathological gambling. In G. J. Madden & W. K. Bickel (Eds.), Impulsivity: The behavioral and neurological science of discounting (pp. 273–294). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
  58. Potenza, M. N. (2013). Biological contributions to addictions in adolescents and adults: Prevention, treatment, and policy implications. Journal of Adolescent Health, 52(2), S22–S32.CrossRefPubMedPubMedCentralGoogle Scholar
  59. Reynolds, B., Ortengren, A., Richards, J. B., & de Wit, H. (2006). Dimensions of impulsive behavior: Personality and behavioral measures. Personality and Individual Differences,40, 305–315.CrossRefGoogle Scholar
  60. Romer, D. (2010). Adolescent risk taking, impulsivity, and brain development: Implications for prevention. Developmental Psychobiology, 52(3), 263–276.PubMedPubMedCentralGoogle Scholar
  61. Scheres, A., Dijkstra, M., Ainslie, E., Balkan, J., Reynolds, B., Sonuga-Barke, E., et al. (2006). Temporal and probabilistic discounting of rewards in children and adolescents: Effects of age and ADHD symptoms. Neuropsychologia, 44(11), 2092–2103.CrossRefPubMedGoogle Scholar
  62. Spear, L. P. (2000). Neurobehavioral changes in adolescence. Current Directions in Psychological Science, 9(4), 111–114.CrossRefGoogle Scholar
  63. Spurrier, M., & Blaszczynski, A. (2014). Risk perception in gambling: A systematic review. Journal of Gambling Studies, 30(2), 253–276.CrossRefPubMedGoogle Scholar
  64. Steinberg, L. (2004). Risk taking in adolescence: What changes, and why? Annals of the New York Academy of Sciences, 1021(1), 51–58.CrossRefPubMedGoogle Scholar
  65. Steinberg, L. (2007). Risk taking in adolescence new perspectives from brain and behavioral science. Current Directions in Psychological Science, 16(2), 55–59.CrossRefGoogle Scholar
  66. Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28(1), 78–106.CrossRefPubMedPubMedCentralGoogle Scholar
  67. Steinberg, L. (2010). A dual systems model of adolescent risk-taking. Developmental Psychobiology, 52(3), 216–224.PubMedGoogle Scholar
  68. Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009). Age differences in future orientation and delay discounting. Child Development, 80(1), 28–44.CrossRefPubMedGoogle Scholar
  69. Strathman, A., Gleicher, F., Boninger, D. S., & Edwards, C. S. (1994). The consideration of future consequences: Weighing immediate and distant outcomes of behavior. Journal of Personality and Social Psychology, 66(4), 742–752.CrossRefGoogle Scholar
  70. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston: Pearson.Google Scholar
  71. Teuscher, U., & Mitchell, S. H. (2011). Relation between time perspective and delay discounting: A literature review. Psychological Record, 61(4), 613–632.Google Scholar
  72. Toplak, M. E., Liu, E., MacPherson, R., Toneatto, T., & Stanovich, K. E. (2007). The reasoning skills and thinking dispositions of problem gamblers: A dual-process taxonomy. Journal of Behavioral Decision Making, 20(2), 103–124.CrossRefGoogle Scholar
  73. Van Brunschot, E. G. (2009). Gambling and risk behaviour: A literature review. Alberta: Gaming Research Institute.Google Scholar
  74. Whiteside, S. P., Lynam, D. R., Miller, J. D., & Reynolds, S. K. (2005). Validation of the UPPS impulsive behaviour scale: A four-factor model of impulsivity. European Journal of Personality, 19(7), 559–574.CrossRefGoogle Scholar
  75. Wiehler, A., & Peters, J. (2015). Reward-based decision making in pathological gambling: The roles of risk and delay. Neuroscience Research, 90, 3–14.CrossRefPubMedGoogle Scholar
  76. Willoughby, T., Good, M., Adachi, P. J., Hamza, C., & Tavernier, R. (2013). Examining the link between adolescent brain development and risk taking from a social–developmental perspective. Brain and Cognition, 83(3), 315–323.CrossRefPubMedGoogle Scholar
  77. Winters, K. C., Stinchfield, R. D., & Fulkerson, J. (1993). Toward the development of an adolescent gambling problem severity scale. Journal of Gambling Studies, 9(1), 63–84.CrossRefGoogle Scholar
  78. Winters, K. C., Stinchfield, R. D., & Kim, L. G. (1995). Monitoring adolescent gambling in Minnesota. Journal of Gambling Studies, 11(2), 165–183.CrossRefPubMedGoogle Scholar
  79. Yoon, J. H., Higgins, S. T., Heil, S. H., Sugarbaker, R. J., Thomas, C. S., & Badger, G. J. (2007). Delay discounting predicts postpartum relapse to cigarette smoking among pregnant women. Experimental and Clinical Psychopharmacology, 15(2), 176–186.CrossRefPubMedGoogle Scholar

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