Hostname: page-component-848d4c4894-jbqgn Total loading time: 0 Render date: 2024-06-16T18:28:15.790Z Has data issue: false hasContentIssue false

Time-Based Prospective Memory Predicts Engagement in Risk Behaviors Among Substance Users: Results From Clinical and Nonclinical Samples

Published online by Cambridge University Press:  14 January 2013

Michael Weinborn*
Affiliation:
School of Psychology, University of Western Australia, Crawley, Western Australia
Jonson Moyle
Affiliation:
School of Psychology, University of Western Australia, Crawley, Western Australia Next Step Drug and Alcohol Service, Perth, Western Australia
Romola S. Bucks
Affiliation:
School of Psychology, University of Western Australia, Crawley, Western Australia
Werner Stritzke
Affiliation:
School of Psychology, University of Western Australia, Crawley, Western Australia
Angela Leighton
Affiliation:
School of Psychology, University of Western Australia, Crawley, Western Australia Centre for Forensic Science, University of Western Australia, Crawley, Western Australia
Steven Paul Woods
Affiliation:
School of Psychology, University of Western Australia, Crawley, Western Australia Department of Psychiatry, University of California, San Diego, School of Medicine, La Jolla, California
*
Correspondence and reprint requests to: Michael Weinborn, School of Psychology, The University of Western Australia (M304), 35 Stirling Highway, Crawley WA 6009, Australia. E-mail: michael.weinborn@uwa.edu.au

Abstract

Deficits in prospective memory (PM; i.e., enacting previously learned actions at the right occasion) and risky decision-making (i.e., making choices with a high chance of undesirable/dangerous outcomes) are both common among individuals with substance use disorders (SUD). Previous research has raised the possibility of a specific relationship between PM and risk-taking, and the present study aimed to systematically study if PM provides unique variance in the prediction of risky decision-making. Two samples were included: (1) a group of 45 individuals with SUD currently in treatment, and (2) a nonclinical group of 59 university students with high-risk drinking and/or substance use. Regression analyses indicated that time-based, but not event-based, PM predicted increased risky behavior (e.g., risky sexual practices and criminal behaviors) in both groups after controlling for demographic, psychiatric, and substance use variables, as well as other neuropsychological functions. The current findings contribute to the growing literature supporting the role of PM as a predictor of everyday functioning, and suggest that cognitive rehabilitation may be an important avenue of research as an adjunct to traditional substance use treatment, particularly in addressing the potential adverse effects of PM deficits in the implementation of treatment-related homework activities and risk management strategies. (JINS, 2013, 19, 1–11)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Babor, T.F., Higgins-Biddle, J.C., Saunders, J.B., Monteiro, M.G. (2001). The Alcohol Use Disorders Identification Test: Guidelines for use in primary care. World Health Organisation: Department of Mental Health and Substance Dependence.Google Scholar
Bechara, A. (2007). Iowa Gambling Task Professional Manual. Lutz, FL: Psychological Assessment Resources.Google Scholar
Brener, N.D., Kann, L., McManus, T., Kinchen, S.A., Sundberg, E.C., Ross, J.G. (2002). Reliability of the 1999 Youth Risk Behavior Survey Questionnaire. Journal of Adolescent Health, 31(4), 336342.CrossRefGoogle ScholarPubMed
Burgess, P.W., Dumontheil, I., Gilbert, S.J. (2007). The gateway hypothesis of rostral prefrontal cortex (area 10) function. Trends in Cognitive Science, 11(7), 290298.CrossRefGoogle ScholarPubMed
Burgess, P.W., Gonen-Yaacovi, G., Volle, E. (2011). Functional neuroimaging studies of prospective memory: What have we learnt so far? Neuropsychologia, 49(8), 22462257.CrossRefGoogle ScholarPubMed
Carver, C.L., White, T.L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality and Social Psychology, 67, 319333.CrossRefGoogle Scholar
Cocco, K.M., Carey, K.B. (1998). Psychometric properties of the Drug Abuse Screening Test in psychiatric outpatients. Psychological Assessment, 10, 408414.CrossRefGoogle Scholar
Crews, F.T., Boettiger, C.A. (2009). Impulsivity, frontal lobes and risk for addiction. Pharmacology Biochemistry and Behavior, 93(3), 237247.CrossRefGoogle ScholarPubMed
Croom, K., Lewis, D., Marchell, T., Lesser, M.L., Reyna, V.F., Kubicki-Bedford, L., Staiano-Coico, L. (2009). Impact of an online alcohol education course on behavior and harm for incoming first-year college students: Short-term evaluation of a randomized trial. Journal of American College Health, 57(4), 445454.CrossRefGoogle ScholarPubMed
Cruickshank, C.C., Dyer, K.R. (2009). A review of the clinical pharmacology of methamphetamine. Addiction, 104(7), 10851099.CrossRefGoogle ScholarPubMed
Darke, S., Ward, J., Hall, W., Heather, N., Wodak, A. (1991) The Opiate Treatment Index (OTI) researcher's manual., National Drug and Alcohol Research Centre technical report no. 11. Sydney: National Drug and Alcohol Research Centre.Google Scholar
De Giovanni, N., Fucci, N., Chiarotti, M., Scarlata, S. (2002). Cozart Rapiscan System: Our experience with saliva tests. Journal of Chromatography B, 773(1), 16.CrossRefGoogle ScholarPubMed
Fish, J., Evans, J., Nimmo, M., Martin, E., Kersel, D., Bateman, A., Manly, T. (2007). Rehabilitation of executive function following brain injury: “Content-free” cueing improves everyday prospective memory performance. Neuropsychologia, 45, 13181330.CrossRefGoogle Scholar
Garavan, H., Stout, J.C. (2005). Neurocognitive insights into substance abuse. Trends in Cognitive Sciences, 9(4), 195201.CrossRefGoogle ScholarPubMed
Gonneaud, J., Kalpouzos, G., Bon, L., Viader, F., Eustache, F., Desgranges, B. (2011). Distinct and shared cognitive functions mediate event- and time-based prospective memory impairment in normal ageing. Memory, 19(4), 360377.CrossRefGoogle ScholarPubMed
Gonzalez, R., Vassileva, J., Bechara, A., Grbesic, S., Sworowski, L., Novak, R.M., Marin, E.M. (2005). The influence of executive functions, sensation seeking, and HIV serostatus on the risky sexual practices of substance-dependent individuals. Journal of the International Neuropsychological Society, 11(02), 121131.CrossRefGoogle ScholarPubMed
Heffernan, T.M., Ling, J., Scholey, A.B. (2001). Subjective ratings of prospective memory deficits in MDMA (‘ecstasy’) users. Human Psychopharmacology: Clinical and Experimental, 16, 339344.CrossRefGoogle ScholarPubMed
Hoyle, R.H., Stephenson, M.T., Palmgreen, P., Pugzles Lorch, E., Donohew, R.L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32(3), 401414.CrossRefGoogle Scholar
Iudicello, J.E., Weber, E., Grant, I., Weinborn, M., Woods, S.P. (2011). Misremembering future intention in methamphetamine dependent individuals. The Clinical Neuropsychologist, 25, 269286.CrossRefGoogle ScholarPubMed
Kliegel, M., Altgassen, M., Hering, A., Rose, N. (2011). A process-model based approach to prospective memory impairment in Parkinson's disease. Neuropsychologia, 49, 21662177.CrossRefGoogle ScholarPubMed
Kliegel, M., Jager, T. (2006). Can the prospective and retrospective memory questionnaire (PRMQ) predict actual prospective memory performance? Current Psychology, 25(3), 182191.CrossRefGoogle Scholar
Kliegel, M., Jager, T., Altgassen, M., Sum, D. (2008). Clinical neuropsychology of prospective memory. In: M. Kliegel, M.A. McDaniel, and G.O. Einstein (Eds.), Prospective memory: Cognitive, neuroscience, developmental, and applied perspectives (pp. 283308). New York, NY: Taylor & Francis Group/Lawrence Erlbaum Associates.Google Scholar
Koblin, B.A., Bonner, S., Hoover, D.R., Xu, G., Lucy, D., Fortin, P., Latka, M.H. (2010). A randomized trial of enhanced hiv risk-reduction and vaccine trial education interventions among HIV-negative, high-risk women who use noninjection drugs: The UNITY Study. Journal of Acquired Immune Deficiency Syndromes, 53(3), 378387.CrossRefGoogle ScholarPubMed
Kongs, S.K., Thompson, L.L., Iverson, G.L., Heaton, R.K. (2000). Wisconsin Card Sorting Test–64 Card Version (WCST-64). Odessa, FL: Psychological Assessment Resources Inc.Google Scholar
Krain, A.L., Wilson, A.M., Arbuckle, R., Castellanos, F.X., Milham, M.P. (2006). Distinct neural mechanisms of risk and ambiguity: A meta-analysis of decision-making. Neuroimage, 32(1), 477484.CrossRefGoogle ScholarPubMed
Lejuez, C.W., Read, J.P., Kahler, C.W., Richards, J.B., Ramsey, S.E., Stuart, G.L., Brown, R.A. (2002). Evaluation of a behavioural measure of risk taking: The balloon analogue risk task (BART). Journal of Experimental Psychology – Applied, 8, 7584.CrossRefGoogle ScholarPubMed
Lovibond, S.H., Lovibond, P.F. (1995). Manual for the Depression Anxiety Stress Scales (2nd ed.). Sydney: Psychology Foundation.Google Scholar
Macan, T., Gibson, J., Cunningham, J. (2010). Will you remember to read this article later when you have time? The relationship between prospective memory and time management. Personality and Individual Differences, 48(6), 725730.CrossRefGoogle Scholar
Marshall, K., Crepaz, N., O'Leary, A. (2010). A systematic review of evidence-based behavioral interventions for African American youth at risk for HIV/STI infection, 1988–2007. In D.H. McCree, K.T. Jones, and A. O'Leary (Eds.), African Americans and HIV/AIDS. New York: Springer.Google Scholar
Martin, E.M., Nixon, H., Pitrak, D.L., Weddington, W., Rains, N.A., Nunnally, G., Bechara, A. (2007). Characteristics of prospective memory deficits in HIV-seropositive substance dependent individuals: Preliminary observations. Journal of Clinical and Experimental Neuropsychology, 29, 496504.CrossRefGoogle ScholarPubMed
McDaniel, M.A., Einstein, G.O. (2000). Strategic and automatic processes in prospective remembering: A multiprocess framework. Applied Cognitive Psychology, 14, S127S144.CrossRefGoogle Scholar
McMurran, M., Riemsma, R., Manning, N., Misso, K., Kleijnen, J. (2011). Interventions for alcohol-related offending by women: A systematic review. Clinical Psychology Review, 31, 909922.CrossRefGoogle ScholarPubMed
Meyers, J.E., Meyers, K.R. (1995). Rey Complex Figure Test and Recognition Trial. Odessa, FL: Psychological Assessment Resources, Inc.Google Scholar
O'Hare, T. (2001). Substance abuse and risky sex in young people: The development and validation of the risky sex scale. Journal of Primary Prevention, 22(2), 89.CrossRefGoogle Scholar
Pappas, M.K., Halkitis, P.N. (2011). Sexual risk taking and club drug use across three age cohorts of HIV-positive gay and bisexual men in New York City. AIDS Care, 23(11), 14101416.CrossRefGoogle ScholarPubMed
Psychological Corporation. (1997). WAIS-III and WMS-III technical manual. San Antonio, TX: Psychological Corporation.Google Scholar
Psychological Corporation. (2001). The Wechsler Test of Adult Reading Manual. San Antonio, TX: Psychological Corporaton.Google Scholar
Raskin, S., Buckheit, C., Sherrod, C. (2010). MIST Memory for Intentions Test professional manual. Lutz, FL: Psychological Assessment Resources, Inc.Google Scholar
Reitan, R.M., Wolfson, D. (1985). The Halstead-Reitan Neuropsychological Test Battery: Theory and clinical interpretation. Tucson, AZ: Neuropsychology Press.Google Scholar
Robbins, T.W., Gillan, C.M., Smith, D.G., de Wit, S., Ersche, K.D. (2012). Neurocognitive endophenotypes of impulsivity and compulsivity: Towards dimensional psychiatry. Trends in Cognitive Sciences, 16(1), 8191.CrossRefGoogle ScholarPubMed
Schmidt, M. (1996). Rey Auditory and Verbal Learning Test: A handbook. Los Angeles, CA: Western Psychological Services.Google Scholar
Shahin, H., Robertson, C. (2012). Alcohol and the brain injured patient. Trauma, 14(3), 233242.CrossRefGoogle Scholar
Smith, G.V., Della Sala, S., Logie, R.H., Maylor, E.A. (2000). Prospective and retrospective memory in normal ageing and dementia: A questionnaire study. Memory, 8, 311321.CrossRefGoogle ScholarPubMed
Steiger, J.H. (1980). Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87, 245251.CrossRefGoogle Scholar
Tay, S.Y., Ang, B.T., Lau, X.Y., Meyyappan, A., Collinson, S.L. (2010). Chronic impairment of prospective memory after mild traumatic brain injury. Journal of Neurotrauma, 27(1), 7783.CrossRefGoogle ScholarPubMed
Tombaugh, T.N. (1996). Test of memory malingering. Toronto: MultiHealth Systems.Google Scholar
Trenerry, M.R. (1989). Stroop Neuropsychological Screening Test manual. Odessa FL: Psychological Assessment Resources.Google Scholar
Verdejo-Garcia, A., Clark, L., Dunn, B.D. (2012). The role of interoception in addiction: A critical review. Neuroscience & Biobehavioral Reviews, 36, 18571869.CrossRefGoogle ScholarPubMed
Weber, E., Blackstone, K., Iudicello, J.E., Morgan, E.E., Grant, I., Moore, D.J., … The Translational Methamphetamine AIDS Research Center (TMARC) Group. (2012). Neurocognitive deficits are associated with unemployment in chronic methamphetamine users. Drug and Alcohol Dependence, 125(1-2), 146153.CrossRefGoogle Scholar
Wechsler, D. (2001). Wechsler Test of Adult Reading (WTAR). New York: Psychological Corporation.Google Scholar
Weinborn, M., Woods, S.P., Nulsen, C., Park, K. (2011). Prospective memory deficits in Ecstasy users: Effects of longer ongoing task delay interval. Journal of Clinical and Experimental Neuropsychology, 33(10), 11191128.CrossRefGoogle ScholarPubMed
Weinborn, M., Woods, S.P., O'Toole, S., Kellogg, E.J., Moyle, J. (2011). Prospective memory in substance abusers at treatment entry: Associations with education, neuropsychological functioning, and everyday memory lapses. Archives of Clinical Neuropsychology, 26(8), 746755.CrossRefGoogle ScholarPubMed
Woods, S.P., Carey, C.L., Moran, L.M., Dawson, M.S., Letendre, S.L., Grant, I. (2007). Frequency and predictors of self-reported prospective memory complaints in individuals infected with HIV. Archives of Clinical Neuropsychology, 22(2), 187195.CrossRefGoogle ScholarPubMed
Woods, S.P., Dawson, M., Weber, E., Grant, I., & The HNRC Group. (2010). The semantic relatedness of cue-intention pairings influences event-based prospective memory failures in older adults with HIV infection. Journal of Clinical and Experimental Neuropsychology, 32, 398407.CrossRefGoogle Scholar
Woods, S.P., Iudicello, J.E., Moran, L.M., Carey, C.L., Dawson, M.S., Grant, I., & The HNRC Group. (2008). HIV-associated prospective memory impairment increases risk of dependence in everyday functioning. Neuropsychology, 22, 110117.CrossRefGoogle Scholar
Woods, S.P., Moran, L.M., Dawson, M.S., Carey, C.L., Grant, I., & The HNRC Group. (2008). Psychometric characteristics of the Memory for Intentions Screening Test. The Clinical Neuropsychologist, 22, 864878.CrossRefGoogle Scholar
Woods, S.P., Weber, E., Weisz, B.M., Twamley, E.W., Grant, I. (2011). Prospective memory deficits are associated with unemployment in persons living with HIV infection. Rehabilitation Psychology, 56, 7784.CrossRefGoogle ScholarPubMed
Zogg, J., Woods, S.P., Sauceda, J., Wiebe, J., Simoni, J. (2012). The role of prospective memory in medication adherence: A review of an emerging literature. Journal of Behavioral Medicine, 35(1), 4762.CrossRefGoogle ScholarPubMed