Multiple behavioural impulsivity tasks predict prospective alcohol involvement in adolescents

Gordon Fernie, Margot Peeters, Matthew J Gullo, Paul Christiansen, Jon C Cole, Harry Sumnall, Matt Field, Gordon Fernie, Margot Peeters, Matthew J Gullo, Paul Christiansen, Jon C Cole, Harry Sumnall, Matt Field

Abstract

Aims: We investigated reciprocal prospective relationships between multiple behavioural impulsivity tasks (assessing delay discounting, risk-taking and disinhibition) and alcohol involvement (consumption, drunkenness and problems) among adolescents. We hypothesized that performance on the tasks would predict subsequent alcohol involvement, and that alcohol involvement would lead to increases in behavioural impulsivity over time.

Design: Cross-lagged prospective design in which impulsivity and alcohol involvement were assessed five times over 2 years (once every 6 months, on average).

Setting: Classrooms in secondary schools in North West England.

Participants: Two hundred and eighty-seven adolescents (51.2% male) who were aged 12 or 13 years at study enrolment.

Measurements: Participants reported their alcohol involvement and completed computerized tasks of disinhibition, delay discounting and risk-taking at each assessment. Cross-sectional and prospective relationships between the variables of interest were investigated using cross-lagged analyses.

Findings: All behavioural impulsivity tasks predicted a composite index of alcohol involvement 6 months later (all Ps < 0.01), and these prospective relationships were reliable across the majority of time-points. Importantly, we did not observe the converse relationship across time: alcohol involvement did not predict performance on behavioural impulsivity tasks at any subsequent time point.

Conclusions: Several measures of impulsivity predict escalation in alcohol involvement in young adolescents, but alcohol use does not appear to alter impulsivity.

Keywords: Adolescents; alcohol; delay discounting; disinhibition; impulsivity; risk-taking.

© 2013 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of the Society for the Study of Addiction.

Figures

Figure 1
Figure 1
Cross-lagged models showing the reciprocal relationships between alcohol involvement (‘Alcohol’) and disinhibition as assessed with the Stop-Signal task (a), risk-taking as assessed with the Balloon Analogue Risk Task (b) and delay discounting (c). Values refer to standardized cross-loadings. *P < 0.05; **P < 0.01; ***P < 0.001

References

    1. Bickel WK, Jarmolowicz DP, Mueller ET, Gatchalian KM, McClure SM. Are executive function and impulsivity antipodes? A conceptual reconstruction with special reference to addiction. Psychopharmacology (Berl) 2012;221:361–387.
    1. Bickel WK, Marsch LA. Toward a behavioral economic understanding of drug dependence: delay discounting processes. Addiction. 2001;96:73–86.
    1. Logan GD, Schachar RJ, Tannock R. Impulsivity and inhibitory control. Psychol Sci. 1997;8:60–64.
    1. Lejuez CW, Richards JB, Read JP, Kahler CW, Ramsey SE, Stuart GL, et al. Evaluation of a behavioral measure of risk taking: the balloon analogue risk task (BART) J Exp Psychol Appl. 2002;8:75–84.
    1. Cyders MA, Coskunpinar A. The relationship between self-report and lab task conceptualizations of impulsivity. J Res Pers. 2012;46:121–124.
    1. De Wit H. Impulsivity as a determinant and consequence of drug use: a review of underlying processes. Addict Biol. 2009;14:22–31.
    1. Dick DM, Smith G, Olausson P, Mitchell SH, Leeman RF, O'Malley SS, et al. Understanding the construct of impulsivity and its relationship to alcohol use disorders. Addict Biol. 2010;15:217–226.
    1. Fernie G, Cole JC, Goudie AJ, Field M. Risk-taking but not response inhibition or delay discounting predict alcohol consumption in social drinkers. Drug Alcohol Depend. 2010;112:54–61.
    1. Weafer J, Milich R, Fillmore Mark TMT. Behavioral components of impulsivity predict alcohol consumption in adults with ADHD and healthy controls. Drug Alcohol Depend. 2011;113:139–146.
    1. Verdejo-García A, Lawrence AJ, Clark L. 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. 2008;32:777–810.
    1. Fuller E. 2011. Smoking, drinking, and drug use among young people in England in 2010. In: NHS: the information centre for health and social care, London.
    1. Field M, Christiansen P, Cole J, Goudie A. Delay discounting and the alcohol Stroop in heavy drinking adolescents. Addiction. 2007;102:579–586.
    1. Dawe S, Gullo MJ, Loxton NJ. Reward drive and rash impulsiveness as dimensions of impulsivity: implications for substance misuse. Addict Behav. 2004;29:1389–1405.
    1. Zucker RA, Heitzeg MM, Nigg JT. Parsing the undercontrol–disinhibition pathway to substance use disorders: a multilevel developmental problem. Child Dev Perspect. 2011;5:248–255.
    1. Nigg JT, Wong MM, Martel MM, Jester JM, Puttler LI, Glass JM, et al. Poor response inhibition as a predictor of problem drinking and illicit drug use in adolescents at risk for alcoholism and other substance use disorders. J Am Acad Child Adolesc Psychiatry. 2006;45:468–475.
    1. Wong MM, Zucker RA, Puttler LI, Nigg JT, Fitzgerald HE, Jester JM, et al. Behavioral control and resiliency in the onset of alcohol and illicit drug use: a prospective study from preschool to adolescence. Child Dev. 2006;77:1016–1033.
    1. MacPherson L, Magidson JF, Reynolds EK, Kahler CW, Lejuez CW. Changes in sensation seeking and risk-taking propensity predict increases in alcohol use among early adolescents. Alcohol Clin Exp Res. 2010;34:1400–1408.
    1. Audrain-McGovern J, Rodriguez D, Epstein LH, Cuevas J, Rodgers K, Wileyto EP. Does delay discounting play an etiological role in smoking or is it a consequence of smoking? Drug Alcohol Depend. 2009;103:99–106.
    1. Spear LP. Adolescent neurobehavioral characteristics, alcohol sensitivities, and intake: setting the stage for alcohol use disorders? Child Dev Perspect. 2011;5:231–238.
    1. Steinberg L. Cognitive and affective development in adolescence. Trends Cogn Sci. 2005;9:69–74.
    1. Ernst M, Nelson EE, Jazbec S, McClure EB, Monk CS, Leibenluft E, et al. Amygdala and nucleus accumbens in responses to receipt and omission of gains in adults and adolescents. Neuroimage. 2005;25:1279–1291.
    1. Galvan A, Hare TA, Parra CE, Penn J, Voss H, Glover G, et al. Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. J Neurosci. 2006;26:6885–6892.
    1. Eshel N, Nelson EE, Blair RJ, Pine DS, Ernst M. Neural substrates of choice selection in adults and adolescents: development of the ventrolateral prefrontal and anterior cingulate cortices. Neuropsychologia. 2007;45:1270–1279.
    1. Crews FT, Braun CJ, Hoplight B, Switzer RC, III, Knapp DJ. Binge ethanol consumption causes differential brain damage in young adolescent rats compared with adult rats. Alcohol Clin Exp Res. 2000;24:1712–1723.
    1. Nasrallah NA, Yang TWH, Bernstein IL. Long-term risk preference and suboptimal decision making following adolescent alcohol use. Proc Natl Acad Sci USA. 2009;106:17600–17604.
    1. McQueeny T, Schweinsburg BC, Schweinsburg AD, Jacobus J, Bava S, Frank LR, et al. Altered white matter integrity in adolescent binge drinkers. Alcohol Clin Exp Res. 2009;33:1278–1285.
    1. Squeglia LM, Spadoni AD, Infante MA, Myers MG, Tapert SF. Initiating moderate to heavy alcohol use predicts changes in neuropsychological functioning for adolescent girls and boys. Psychol Addict Behav. 2009;23:715–722.
    1. Mayer J, Filstead WJ. The adolescent alcohol involvement scale. An instrument for measuring adolescents' use and misuse of alcohol. J Stud Alcohol. 1979;40:291–300.
    1. Magar ECE, Phillips LH, Hosie JA. Self-regulation and risk-taking. Pers Individ Dif. 2008;45:153–159.
    1. Currie CE, Elton RA, Todd J, Platt S. Indicators of socioeconomic status for adolescents: the WHO health behaviour in school-aged children survey. Health Educ Res. 1997;12:385–397.
    1. Torsheim T, Currie C, Boyce W, Kalnins I, Overpeck M, Haugland S. Material deprivation and self-rated health: a multilevel study of adolescents from 22 European and North American countries. Soc Sci Med. 2004;59:1–12.
    1. Du W, Green L, Myerson J. Cross-cultural comparisons of discounting delayed and probabilistic rewards. Psychol Rec. 2002;52:479–492.
    1. Stanger C, Ryan SR, Fu H, Landes RD, Jones BA, Bickel WK, et al. Delay discounting predicts adolescent substance abuse treatment outcome. Exp Clin Psychopharmacol. 2012;20:205–212.
    1. Demurie E, Roeyers H, Baeyens D, Sonuga-Barke E. Temporal discounting of monetary rewards in children and adolescents with ADHD and autism spectrum disorders. Dev Sci. 2012;15:791–800.
    1. Myerson J, Green L, Warusawitharana M. Area under the curve as a measure of discounting. J Exp Anal Behav. 2001;76:235–243.
    1. Lejuez CW, Aklin W, Daughters S, Zvolensky M, Kahler C, Gwadz M. Reliability and validity of the youth version of the Balloon Analogue Risk Task (BART-Y) in the assessment of risk-taking behavior among inner-city adolescents. J Clin Child Adolesc Psychol. 2007;36:106–111.
    1. Bitsakou P, Psychogiou L, Thompson M, Sonuga-Barke EJS. Inhibitory deficits in attention-deficit/hyperactivity disorder are independent of basic processing efficiency and IQ. J Neural Transm. 115:261–268.
    1. Band GPH, van der Molen MW, Logan GD. Horse-race model simulations of the stop-signal procedure. Acta Psychol (Amst) 2008;112:105–142. 2003.
    1. Muthén LK, Muthén BO. Mplus Users Guide. 7th edn. Los Angeles, CA: Muthén & Muthén; 1998. –2010.
    1. Geiser C. Data Analysis with Mplus. New York: Guilford Press; 2013.
    1. Muthén LK, Muthén BO. How to use a Monte Carlo study to decide on sample size and determine power. Struct Equ Modeling. 2002;9:599–620.
    1. Hox J. Multilevel Analysis: Techniques and Applications. Mahwah, NJ: Lawrence Erlbaum Associates; 2002.
    1. Graham JW. Missing data analysis: making it work in the real world. Annu Rev Psychol. 2009;60:549–576.
    1. Kline RB. Principles and Practice of Structural Equation Modelling. New York: Guilford Press; 2010.
    1. Lagorio CH, Madden GJ. Delay discounting of real and hypothetical rewards III: steady-state assessments, forced-choice trials, and all real rewards. Behav Processes. 2005;69:173–187.
    1. Madden GJ, Begotka AM, Raiff BR, Kastern LL. Delay discounting of real and hypothetical rewards. Exp Clin Psychopharmacol. 2003;11:139–145.
    1. Madden GJ, Raiff BR, Lagorio CH, Begotka AM, Mueller AM, Hehli DJ, et al. Delay discounting of potentially real and hypothetical rewards: II. Between- and within-subject comparisons. Exp Clin Psychopharmacol. 2004;12:251–261.
    1. MacKillop J, Amlung MT, Few LR, Ray LA, Sweet LH, Munafò MR. Delayed reward discounting and addictive behavior: a meta-analysis. Psychopharmacology (Berl) 2011;216:305–321.
    1. Melanko S, Larkin KT. Preference for immediate reinforcement over delayed reinforcement: relation between delay discounting and health behavior. J Behav Med. 2013;36:34–43.

Source: PubMed

Подписаться