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The Influence of Inhibitory Control and Episodic Memory on the Risky Sexual Behavior of Young Adult Cannabis Users

Published online by Cambridge University Press:  07 June 2012

Randi Melissa Schuster ,
Natania A. Crane ,
Robin Mermelstein  and
Raul Gonzalez
Randi Melissa Schuster
Affiliation:
Department of Psychology, University of Illinois at Chicago, Chicago, Illinois
Natania A. Crane
Affiliation:
Department of Psychology, University of Illinois at Chicago, Chicago, Illinois
Robin Mermelstein
Affiliation:
Department of Psychology, University of Illinois at Chicago, Chicago, Illinois
Raul Gonzalez*
Affiliation:
Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
*
Correspondence and reprint requests to: Raul Gonzalez, 1601 W Taylor Street MC912, Chicago, IL 60612. E-mail: [email protected]
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Abstract

Cannabis use is associated with risky sexual behavior (RSB) and sex-related negative health consequences. This investigation examined the role of inhibitory control and episodic memory in predicting RSB and sex-related negative consequences among current cannabis users. Findings indicated that the relationships among cannabis, neurocognition, and sexual-risk varied according to the dimension of neurocognition and the parameter of RSB in question. Specifically, more risk-taking was associated with more RSB. Furthermore, amount of recent cannabis use was associated with more RSB and sex-related negative consequences, but only among those with worse performances on a measure of decision-making and of risk-taking. Contrary to hypotheses, worse episodic memory also significantly predicted higher overall sexual-risk and decreased safe-sex practices. Results indicate that worse neurocognitive performance in the areas of risk-taking, decision-making, and episodic memory may influence the degree to which cannabis users engage in RSB and experience negative health consequences as a result. (JINS, 2012, 18, 1–7)

Keywords

CannabisRisky sexYoung adultsCognitionInhibitory controlEpisodic memory
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 18 , Issue 5 , September 2012 , pp. 827 - 833
Copyright
Copyright © The International Neuropsychological Society 2012

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References

Addis, D.R., Schacter, D.L. (2008). Constructive episodic simulation: Temporal distance and detail of past and future events modulate hippocampal engagement. Hippocampus, 18, 227–237.Google Scholar
Bechara, A., Damasio, A.R., Damasio, H., Anderson, S.W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7–15.Google Scholar
Beck, A.T., Brown, G., Steer, R.A. (1996). Beck Depression Inventory II Manual. San Antonio, TX: The Psychological Corporation.Google Scholar
Beck, A.T., Steer, R.A. (1990). Manual for the Beck Anxiety Inventory. San Antonio, TX: The Psychological Corporation.Google Scholar
Benedict, R.H.B., Schretlen, D., Groninger, L., Brandt, J. (1998). Hopkins Verbal Learning Test Revised: Normative data and analysis of inter-form and test-retest reliability. Clinical Neuropsychologist, 12, 43–55.CrossRefGoogle Scholar
Bolla, K.L., Brown, K., Eldreth, D., Tate, K., Cadet, J.L. (2002). Dose-related neurocognitive effects of marijuana use. Neurology, 59, 1337–1343.CrossRefGoogle ScholarPubMed
Copeland, J., Swift, W. (2009). Cannabis use disorder: Epidemiology and management. International Review of Psychiatry, 21, 96–103.Google Scholar
Crean, R.D., Crane, N.A., Mason, B.J. (2011). An evidence based review of acute and long-term effects of cannabis use on executive cognitive functions. Journal of Addiction Medicine, 5, 1–8.Google Scholar
Darke, S., Hall, W., Heather, N., Ward, J., Wodak, A. (1991). The reliability and validity of a scale to measure HIV risk-taking behaviour among intravenous drug users. AIDS, 5, 181–185.CrossRefGoogle ScholarPubMed
Donenberg, G.R., Emerson, E., Bryant, F.B., Wilson, H., Weber-Shifrin, E. (2001). Understanding AIDS-risk behavior among adolescents in psychiatric care: Links to psychopathology and peer relationships. Journal of the American Academy of Child and Adolescent Psychiatry, 40, 642–653.Google Scholar
Dougherty, D.M., Mathias, C.W., Marsh, D.M., Jagar, A.A. (2005). Laboratory behavioral measures of impulsivity. Behavior Research Methods, 37(1), 82–90.CrossRefGoogle ScholarPubMed
Fernie, G., Cole, J.C., Goudie, A.J., Field, M. (2010). Risk-taking but not response inhibition or delay discounting predict alcohol consumption in social drinkers. Drug and Alcohol Dependence, 112, 54–61.CrossRefGoogle ScholarPubMed
First, M.B., Spitzer, R.L., Gibbon, M., Williams, J.B. (2002). Structured clinical interview for DSM-IV-TR Axis I disorders, research version, patient edition (SCID-I/P). New York: Biometrics Research, New York State Psychiatric Institute.Google Scholar
Gogtay, N., Giedd, J.N., Lusk, L., Hayashi, K.M., Greenstein, D., Vaituzis, A.C., Thompson, P.M. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences of the United States of America, 101, 8174–8179.Google Scholar
Gonzalez, R. (2007). Acute and non-acute effects of cannabis on brain functioning and neuropsychological performance. Neuropsychology Review, 17, 347–361.CrossRefGoogle ScholarPubMed
Gonzalez, R., Schuster, R.M., Crane, N.A., Vassileva, J., Martin, E.M. (2012). Decision-making performance influences the relationship between amount of cannabis use and its negative consequences. International Neuropsychological Society, Montreal, Canada.Google Scholar
Gonzalez, R., Schuster, R., Salija, I. (2011). Inhibitory control in young cannabis users: Relationships with cannabis use and symptoms of cannabis addiction. Symposium conducted at the annual meeting of the International Cannabinoid Research Society, St. Charles, Illinois.Google Scholar
Gonzalez, R., Vassileva, J., Bechara, A., Grbesic, S., Sworowski, L., Novak, R.M., Martin, 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, 121–131.Google Scholar
Gupta, R., Duff, M.C., Denburg, N.L., Cohen, N.J., Bechara, A., Tranel, D. (2009). Declarative memory is critical for sustained advantageous complex decision-making. Neuropsychologia, 47, 1686–1693.Google Scholar
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, 78–87.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 behavioral measure of risk taking: The Balloon Analogue Risk Task (BART). Journal of Experimental Psychology. Applied, 8, 75–84.Google Scholar
Moeller, F.G., Barratt, E.S., Dougherty, D.M., Schmitz, J.M., Swann, A.C. (2001). Psychiatric aspects of impulsivity. American Journal of Psychiatry, 158, 1783–1793.CrossRefGoogle ScholarPubMed
Patton, J.H., Stanford, M.S., Barratt, E.S. (1995). Factor structure of the Barratt impulsiveness scale. Journal of Clinical Psychology, 51, 768–774.3.0.CO;2-1>CrossRefGoogle ScholarPubMed
Ranganathan, M., D'Souza, D.C. (2006). The acute effects of cannabinoids on memory in humans: A review. Psychopharmacology, 188, 425–444.Google Scholar
Reardon, D.C., Coleman, P.K., Cougle, J.R. (2004). Substance use associated with unintended pregnancy outcomes in the National Longitudinal Survey of Youth. American Journal of Drug and Alcohol Abuse, 30, 369–383.CrossRefGoogle ScholarPubMed
Rippeth, J.D., Heaton, R.K., Carey, C.L., Marcotte, T.D., Moore, D.J., Gonzalez, R., Grant, I. (2004). Methamphetamine dependence increases risk of neuropsychological impairment in HIV infected persons. Journal of the International Neuropsychological Society, 10, 1–14.Google Scholar
Schuster, R.M., Crane, N.A., Mermelstein, R., Gonzalez, R. (2012). A nuanced assessment of cannabis use and risky sexual behaviors. Society of Behavioral Medicine, New Orleans, LA.Google Scholar
Ward, M.F., Wender, P.H., Reimherr, F.W. (1993). The Wender Utah Rating Scale: An aid in the retrospective diagnosis of childhood attention deficit hyperactivity disorder. American Journal of Psychiatry, 150, 885–890.Google ScholarPubMed
Wardle, M.C., Gonzalez, R., Bechara, A., Martin-Thormeyer, E.M. (2010). Iowa Gambling Task performance and emotional distress interact to predict risky sexual behavior in individuals with dual substance and HIV diagnoses. Journal of Clinical and Experimental Neuropsychology, 32, 1110–1121.Google Scholar
Wechsler, D. (2001). Wechsler Test of Adult Reading. San Antonio, TX: The Psychological Corporation.Google Scholar
Wu, L.T., Ringwalt, C.L., Patkar, A.A., Hubbard, R.L., Blazer, D.G. (2009). Association of MDMA/ecstasy and other substance use with self-reported sexually transmitted diseases among college-aged adults: A national study. Public Health, 123, 557–564.CrossRefGoogle ScholarPubMed