Behavior Genetics

, Volume 41, Issue 2, pp 175–183 | Cite as

Heritability of Delay Discounting in Adolescence: A Longitudinal Twin Study

  • Andrey P. Anokhin
  • Simon Golosheykin
  • Julia D. Grant
  • Andrew C. Heath
ORIGINAL RESEARCH

Abstract

Delay discounting (DD) refers to the preference for smaller immediate rewards over larger but delayed rewards, and is considered to be a distinct component of a broader “impulsivity” construct. Although greater propensity for discounting the value of delayed gratification has been associated with a range of problem behaviors and substance abuse, particularly in adolescents, the origins of individual differences in DD remain unclear. We examined genetic and environmental influences on a real-life behavioral measure of DD using a longitudinal twin design. Adolescent participants were asked to choose between a smaller ($7) reward available immediately and a larger ($10) reward to be received in 7 days. Biometrical genetic analysis using linear structural equation modeling showed significant heritability of DD at ages 12 and 14 (30 and 51%, respectively) and suggested that the same genetic factors influenced the trait at both ages. DD was significantly associated with symptoms of conduct disorder, attention deficit hyperactivity disorder, substance use, and with higher novelty seeking and poor self-regulation. This study provides the first evidence for heritability of DD in humans and suggests that DD can be a promising endophenotype for genetic studies of addiction and externalizing disorders.

Keywords

Delay discounting Impulsivity Decision making Adolescents Heritability 

References

  1. Ainslie G (1975) Specious reward: a behavioral theory of impulsiveness and impulse control. Psychol Bull 82:463–496PubMedCrossRefGoogle Scholar
  2. Anokhin AP, Birbaumer N, Lutzenberger W, Nikolaev A, Vogel F (1996) Age increases brain complexity. Electroencephalogr Clin Neurophysiol 99:63–68PubMedCrossRefGoogle Scholar
  3. Audrain-McGovern J, Rodriguez D, Tercyak KP, Epstein LH, Goldman P, Wileyto EP (2004) Applying a behavioral economic framework to understanding adolescent smoking. Psychol Addict Behav 18:64–73PubMedCrossRefGoogle Scholar
  4. Bechara A (2005) Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci 8:1458–1463PubMedCrossRefGoogle Scholar
  5. Beck RC, Triplett MF (2009) Test–retest reliability of a group-administered paper–pencil measure of delay discounting. Exp Clin Psychopharmacol 17:345–355PubMedCrossRefGoogle Scholar
  6. Bickel WK, Miller ML, Yi R, Kowal BP, Lindquist DM, Pitcock JA (2007) Behavioral and neuroeconomics of drug addiction: competing neural systems and temporal discounting processes. Drug Alcohol Depend 90(Suppl 1):S85–S91PubMedCrossRefGoogle Scholar
  7. Cardinal RN (2006) Neural systems implicated in delayed and probabilistic reinforcement. Neural Netw 19:1277–1301PubMedCrossRefGoogle Scholar
  8. Chambers RA, Taylor JR, Potenza MN (2003) Developmental neurocircuitry of motivation in adolescence: a critical period of addiction vulnerability. Am J Psychiatry 160:1041–1052PubMedCrossRefGoogle Scholar
  9. Chen F, Curran PJ, Bollen KA, Kirby J, Paxton P (2008) An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models. Sociol Methods Res 36:462–494PubMedCrossRefGoogle Scholar
  10. Cloninger CR, Svrakic DM (1997) Integrative psychobiological approach to psychiatric assessment and treatment. Psychiatry 60:120–141PubMedGoogle Scholar
  11. Constantino JN, Cloninger CR, Clarke AR, Hashemi B, Przybeck T (2002) Application of the seven-factor model of personality to early childhood. Psychiatry Res 109:229–243PubMedCrossRefGoogle Scholar
  12. Dalley JW, Mar AC, Economidou D, Robbins TW (2008) Neurobehavioral mechanisms of impulsivity: fronto-striatal systems and functional neurochemistry. Pharmacol Biochem Behav 90:250–260PubMedCrossRefGoogle Scholar
  13. de Wit H (2009) Impulsivity as a determinant and consequence of drug use: a review of underlying processes. Addict Biol 14:22–31PubMedCrossRefGoogle Scholar
  14. Eisenberg DT, Mackillop J, Modi M, Beauchemin J, Dang D, Lisman SA, Lum JK, Wilson DS (2007) Examining impulsivity as an endophenotype using a behavioral approach: a DRD2 TaqI A and DRD4 48-bp VNTR association study. Behav Brain Funct 3:2PubMedCrossRefGoogle Scholar
  15. Ernst M, Mueller SC (2008) The adolescent brain: insights from functional neuroimaging research. Dev Neurobiol 68:729–743PubMedCrossRefGoogle Scholar
  16. Giedd JN (2008) The teen brain: insights from neuroimaging. J Adolesc Health 42:335–343PubMedCrossRefGoogle Scholar
  17. Green L, Myerson J, Lichtman D, Rosen S, Fry A (1996) Temporal discounting in choice between delayed rewards: the role of age and income. Psychol Aging 11:79–84PubMedCrossRefGoogle Scholar
  18. Heath AC, Berg K, Eaves LJ, Solaas MH, Corey LA, Sundet J, Magnus P, Nance WE (1985) Education policy and the heritability of educational attainment. Nature 314:734–736PubMedCrossRefGoogle Scholar
  19. Hinvest NS, Anderson IM (2010) The effects of real versus hypothetical reward on delay and probability discounting. Q J Exp Psychol (Colchester) 63(6):1072–1084Google Scholar
  20. Hollingshead AB (1975) Hollingshead four factor index of social status. Unpublished manuscript. Department of Sociology, Yale University, New HavenGoogle Scholar
  21. Hudspeth WJ, Pribram KH (1992) Psychophysiological indices of cerebral maturation. Int J Psychophysiol 12:19–29PubMedCrossRefGoogle Scholar
  22. Hur YM, Bouchard TJ Jr (1997) The genetic correlation between impulsivity and sensation seeking traits. Behav Genet 27:455–463PubMedCrossRefGoogle Scholar
  23. Johnson MW, Bickel WK (2002) Within-subject comparison of real and hypothetical money rewards in delay discounting. J Exp Anal Behav 77:129–146PubMedCrossRefGoogle Scholar
  24. Kable JW, Glimcher PW (2007) The neural correlates of subjective value during intertemporal choice. Nat Neurosci 10:1625–1633PubMedCrossRefGoogle Scholar
  25. Kasriel J, Eaves L (1976) The zygosity of twins: further evidence on the agreement between diagnosis by blood groups and written questionnaires. J Biosoc Sci 8:263–266PubMedCrossRefGoogle Scholar
  26. Kenny DA, McCoach DB (2003) Effect of the number of variables on measures of fit in structural equation modeling. Struct Equ Modeling 10:333–351CrossRefGoogle Scholar
  27. Kollins SH (2003) Delay discounting is associated with substance use in college students. Addict Behav 28:1167–1173PubMedCrossRefGoogle Scholar
  28. Krueger RF, Caspi A, Moffitt TE, White J, Stouthamer-Loeber M (1996) Delay of gratification, psychopathology, and personality: is low self-control specific to externalizing problems? J Pers 64:107–129PubMedCrossRefGoogle Scholar
  29. Madden GJ, Begotka AM, Raiff BR, Kastern LL (2003) Delay discounting of real and hypothetical rewards. Exp Clin Psychopharmacol 11:139–145PubMedCrossRefGoogle Scholar
  30. McClure SM, Laibson DI, Loewenstein G, Cohen JD (2004) Separate neural systems value immediate and delayed monetary rewards. Science 306:503–507PubMedCrossRefGoogle Scholar
  31. Mitchell SH, Reeves JM, Li N, Phillips TJ (2006) Delay discounting predicts behavioral sensitization to ethanol in outbred WSC mice. Alcohol Clin Exp Res 30:429–437PubMedCrossRefGoogle Scholar
  32. Monterosso J, Ainslie G (1999) Beyond discounting: possible experimental models of impulse control. Psychopharmacology (Berl) 146:339–347CrossRefGoogle Scholar
  33. Neale MC, Cardon LR (1992) Methodology for genetic studies of twins and families, vol 67. Kluwer Academic Publishers, DordrechtGoogle Scholar
  34. Neale MC, Boker SM, Xie G, Maes HH (2002) Mx: statistical modeling, 6th edn. Department of Psychiatry, RichmondGoogle Scholar
  35. Oberlin BG, Grahame NJ (2009) High-alcohol preferring mice are more impulsive than low-alcohol preferring mice as measured in the delay discounting task. Alcohol Clin Exp Res 33(7):1294–1303PubMedCrossRefGoogle Scholar
  36. Ohmura Y, Takahashi T, Kitamura N, Wehr P (2006) Three-month stability of delay and probability discounting measures. Exp Clin Psychopharmacol 14:318–328PubMedCrossRefGoogle Scholar
  37. Olson EA, Hooper CJ, Collins P, Luciana M (2007) Adolescents’ performance on delay and probability discounting tasks: contributions of age, intelligence, executive functioning, and self-reported externalizing behavior. Pers Individ Dif 43:1886–1897PubMedCrossRefGoogle Scholar
  38. Pedersen NL, Plomin R, McClearn GE, Friberg L (1988) Neuroticism, extraversion, and related traits in adult twins reared apart and reared together. J Pers Soc Psychol 55:950–957PubMedCrossRefGoogle Scholar
  39. Perry JL, Carroll ME (2008) The role of impulsive behavior in drug abuse. Psychopharmacology (Berl) 200:1–26CrossRefGoogle Scholar
  40. Reynolds B (2006) A review of delay-discounting research with humans: relations to drug use and gambling. Behav Pharmacol 17:651–667PubMedCrossRefGoogle Scholar
  41. Reynolds B, Karraker K, Horn K, Richards JB (2003) Delay and probability discounting as related to different stages of adolescent smoking and non-smoking. Behav Processes 64:333–344PubMedCrossRefGoogle Scholar
  42. Reynolds B, Ortengren A, Richards JB, de Wit H (2006) Dimensions of impulsive behavior: personality and behavioral measures. Pers Individ Dif 40:305–315CrossRefGoogle Scholar
  43. Richards JB, Zhang L, Mitchell SH, de Wit H (1999) Delay or probability discounting in a model of impulsive behavior: effect of alcohol. J Exp Anal Behav 71:121–143Google Scholar
  44. Rigdon EE (1996) CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling. Struct Equ Modeling 3:369–379CrossRefGoogle Scholar
  45. Rijsdijk FV, Sham PC (2002) Analytic approaches to twin data using structural equation models. Brief Bioinform 3:119–133PubMedCrossRefGoogle Scholar
  46. Scheres A, Dijkstra M, Ainslie E, Balkan J, Reynolds B, Sonuga-Barke E, Castellanos FX (2006) Temporal and probabilistic discounting of rewards in children and adolescents: effects of age and ADHD symptoms. Neuropsychologia 44:2092–2103PubMedCrossRefGoogle Scholar
  47. Segalowitz SJ, Davies PL (2004) Charting the maturation of the frontal lobe: an electrophysiological strategy. Brain Cogn 55:116–133PubMedCrossRefGoogle Scholar
  48. Seroczynski AD, Bergeman CS, Coccaro EF (1999) Etiology of the impulsivity/aggression relationship: genes or environment? Psychiatry Res 86:41–57PubMedCrossRefGoogle Scholar
  49. Tambs K, Sundet JM, Magnus P, Berg K (1989) Genetic and environmental contributions to the covariance between occupational status, educational attainment, and IQ: a study of twins. Behav Genet 19:209–222PubMedCrossRefGoogle Scholar
  50. Todd RD, Joyner CA, Heath AC, Neuman RJ, Reich W (2003) Reliability and stability of a semistructured DSM-IV interview designed for family studies. J Am Acad Child Adolesc Psychiatry 42:1460–1468PubMedCrossRefGoogle Scholar
  51. Verdejo-Garcia A, Lawrence AJ, Clark L (2008) Impulsivity as a vulnerability marker for substance-use disorders: review of findings from high-risk research, problem gamblers and genetic association studies. Neurosci Biobehav Rev 32:777–810PubMedCrossRefGoogle Scholar
  52. Wilhelm CJ, Mitchell SH (2009) Strain differences in delay discounting using inbred rats. Genes Brain Behav 8(4):426–434PubMedCrossRefGoogle Scholar
  53. Wulfert E, Block JA, Santa Ana E, Rodriguez ML, Colsman M (2002) Delay of gratification: impulsive choices and problem behaviors in early and late adolescence. J Pers 70:533–552PubMedCrossRefGoogle Scholar
  54. Yakovlev PI, Lecours AR (1967) The myelogenetic cycles of regional maturation of the brain. In: Minowski A (ed) Regional development of the brain in early life. Blackwell, Oxford, pp 3–70Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Andrey P. Anokhin
    • 1
  • Simon Golosheykin
    • 1
  • Julia D. Grant
    • 1
  • Andrew C. Heath
    • 1
  1. 1.Department of PsychiatryWashington University School of MedicineSt. LouisUSA

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