Abstract
Stimulant/amphetamine use presents a major public health problem. There is a dearth of research which has studied this behavior from a dual systems model perspective. This study examined the relevance of sensation-seeking and impulse control for predicting stimulant/amphetamine use and tested whether these relationships varied as a function of time. The Pathways to Desistance data were used in analyses, comprising the responses of 1,354 justice-involved youth across 84 months with 11 data points each. Mixed effects modeling was used to examine these relationships. Results indicated that greater sensation-seeking was associated with greater odds of stimulant/amphetamine use. This relationship varied as a linear function of time, with the salience of sensation-seeking for predicting stimulant/amphetamine use declining as participants got older. However, this interaction only reached marginal significance at the p < .09 level. Interventions focused on sensation-seeking may help reduce stimulant/amphetamine use, but effects may be greater for adolescents relative to young adults.
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Notes
While other drugs like cocaine also can be understood as stimulants, the Pathways to Desistance study measured these drugs separately. As such, the choice was made to focus solely on amphetamines and stimulants other than powder cocaine and crack cocaine in this study.
The individual items used to assess sensation-seeking were I like to be where exciting things happen; I get bored quickly when there is too little change; I like to do things just for the thrill of it; I get bored quickly be doing the same thing over and over; I like to do exciting and dangerous things, even if it is forbidden or illegal.
Sensitivity analyses were conducted because of the moderate correlation between sensation-seeking and impulse control, drawing concerns about collinearity washing out effects. As such, separate models were estimated that omitted one or the other construct in order to examine direct and interaction effects separately for each dual systems construct. Model 1 results were analogous to those of the main analyses, as both constructs exerted significant direct effects in each separate model. Model 2 effects indicated that omitting impulse control resulted in both the direct effect of sensation-seeking and the interaction effect being statistically significant. The interaction model that excluded sensation-seeking indicated that the direct effect of impulse control was significant in the predicted manner, but the interaction effect remained non-significant. This provides some evidence that collinearity may have resulted in a washing out of the direct effect of impulse control and the interaction between sensation-seeking and age in model 2.
It should be noted that sample size was relatively small for ages at the extreme ends of the age gradient, relative to other ages (e.g., age 14 N = 43; age 18 N = 2235; age 26 N = 2). Participants aged 14 and 26 were excluded from Fig. 1 because there were not enough participants who were this age in the data that were able to be modeled because of the lagged effects of sensation-seeking.
References
Andershed, H., Kerr, M., Stattin, H., & Levander, S. (2002). Psychopathic traits in non-referred youths: A new assessment tool. In E. Blauuw & L. Sheridan (Eds.), Psychopaths: Current International Perspectives (pp. 131–158). Elsevier.
Andersen, L. H. (2015). First imprisonment and the age-crime curve. Rockwool Foundation Research Unit. Copenhagen, Denmark.
Ashok, A. H., Mizuno, Y., Volkow, N. D., & Howes, O. D. (2017). Association of stimulant use with dopaminergic alterations in users of cocaine, amphetamine, or methamphetamine: A systematic review and meta-analysis. JAMA Psychiatry, 74(5), 511–519.
Bazmi, E., Mousavi, F., Giahchin, L., Mokhtari, T., & Behnoush, B. (2017). Cardiovascular complications of acute amphetamine abuse: Cross-sectional study. Sultan Qaboos University Medical Journal, 17(1), e31.
Bramness, J. G., & Rognli, E. B. (2016). Psychosis induced by amphetamines. Current Opinion in Psychiatry, 29(4), 236–241.
Burt, C. H., Sweeten, G., & Simons, R. L. (2014). Self-control through emerging adulthood: Instability, multidimensionality, and criminological significance. Criminology, 52(3), 450–487.
Castellanos-Ryan, N., Parent, S., Vitaro, F., Tremblay, R. E., & Séguin, J. R. (2013). Pubertal development, personality, and substance use: A 10-year longitudinal study from childhood to adolescence. Journal of Abnormal Psychology, 122(3), 782.
Conrod, P. J., Castellanos, N., & Mackie, C. (2008). Personality-targeted interventions delay the growth of adolescent drinking and binge drinking. Journal of Child Psychology and Psychiatry, 49, 181–190. https://doi.org/10.1111/j.1469-7610.2007.01826.x
Conrod, P. J., Castellanos-Ryan, N., & Strang, J. (2010). Brief, personality-targeted coping skills interventions and survival as a non–drug user over a 2-year period during adolescence. Archives of General Psychiatry, 67, 85–93. https://doi.org/10.1001/archgenpsychiatry.2009.173
Corominas-Roso, M., Roncero, C., Bruguera, E., & Casas, M. (2007). The dopaminergic system and addictions. Revista De Neurologia, 44(1), 23–31.
Crouse, J. J., Lee, R. S., White, D., Moustafa, A. A., Hickie, I. B., & Hermens, D. F. (2018). Distress and sleep quality in young amphetamine-type stimulant users with an affective or psychotic illness. Psychiatry Research, 262, 254–261.
Cservenka, A., & Ray, L. A. (2017). Self-reported attentional and motor impulsivity are related to age at first methamphetamine use. Addictive Behaviors, 65, 7–12.
Derogatis, L., & Melisaratos, N. (1983). The Brief Symptom Inventory: An introductory report. Psychological Medicine, 13, 595–605.
Dluzen, D. E., & Liu, B. (2008). Gender differences in methamphetamine use and responses: A review. Gender Medicine, 5(1), 24–35.
Ellingson, J. M., Corley, R., Hewitt, J. K., & Friedman, N. P. (2019). A prospective study of alcohol involvement and the dual-systems model of adolescent risk-taking during late adolescence and emerging adulthood. Addiction, 114(4), 653–661.
Fischbach, P. (2017). The role of illicit drug use in sudden death in the young. Cardiology in the Young, 27, S75.
Forrest, W., Hay, C., Widdowson, A. O., & Rocque, M. (2019). Development of impulsivity and risk‐seeking: Implications for the dimensionality and stability of self‐control. Criminology, 57(3), 512–543. https://doi.org/10.1111/1745-9125.12214
Hollingshead, A. B. (1957). Two factor index of social position. Mimeo. Yale University.
Hou, H., Wang, C., Jia, S., Hu, S., & Tian, M. (2014). Brain dopaminergic system changes in drug addiction: A review of positron emission tomography findings. Neuroscience Bulletin, 30(5), 765–776.
Jonas, K., & Kochanska, G. (2018). An imbalance of approach and effortful control predicts externalizing problems: Support for extending the dual-systems model into early childhood. Journal of Abnormal Child Psychology, 46(8), 1573–1583.
Kahlig, K. M., Lute, B. J., Wei, Y., Loland, C. J., Gether, U., Javitch, J. A., & Galli, A. (2006). Regulation of dopamine transporter trafficking by intracellular amphetamine. Molecular Pharmacology, 70(2), 542–548.
León, K. S., & Martínez, D. E. (2017). To study, to party, or both? Assessing risk factors for non-prescribed stimulant use among middle and high school students. Journal of Psychoactive Drugs, 49, 22–30.
Lopez-Patton, M., Kumar, M., Jones, D., Fonseca, M., Kumar, A. M., & Nemeroff, C. B. (2016). Childhood trauma and METH abuse among men who have sex with men: Implications for intervention. Journal of Psychiatric Research, 72, 1–5.
Maloney, K. M., Beer, L., Tie, Y., & Dasgupta, S. (2019). Prevalence of non-medical amphetamine use among men with diagnosed HIV infection who have sex with men in the United States, 2015–2016. AIDS and Behavior, 1–11. https://doi.org/10.1007/s10461-019-02761-9
Meeus, W., Vollebergh, W., Branje, S., Crocetti, E., Ormel, J., van de Schoot, R., Crone, E. A., & Becht, A. (2021). On imbalance of impulse control and sensation seeking and adolescent risk: An intra-individual developmental test of the dual systems and maturational imbalance models. Journal of Youth and Adolescence, 50(5), 827–840.
Moratalla, R., Khairnar, A., Simola, N., Granado, N., García-Montes, J. R., Porceddu, P. F., Tizabi, Y., Costa, G., & Morelli, M. (2017). Amphetamine-related drugs neurotoxicity in humans and in experimental animals: Main mechanisms. Progress in Neurobiology, 155, 149–170.
Nathani, J., Morris, R. W., Glozier, N., & Sara, G. (2021). Amphetamine use and psychiatric admissions: A 10-year perspective. Australasian Psychiatry. https://doi.org/10.1177/10398562211014227
Natsuaki, M. N., Ge, X., & Wenk, E. (2008). Continuity and changes in the developmental trajectories of criminal career: Examining the roles of timing of first arrest and high school graduation. Journal of Youth and Adolescence, 37(4), 431–444.
O’Leary, D. S., Langbehn, D. R., Kramer, J. R., Kuperman, S., Fuhrmeister, L. A., & Vaidya, J. G. (2019). Personality traits and negative consequences associated with binge drinking and marijuana use in college students. The American Journal of Drug and Alcohol Abuse, 45(4), 400–409.
Palamar, J. J., Han, B. H., & Keyes, K. M. (2020). Trends in characteristics of individuals who use methamphetamine in the United States, 2015–2018. Drug and Alcohol Dependence, 213, 108089.
Quinn, P. D., & Harden, K. P. (2013). Differential changes in impulsivity and sensation seeking and the escalation of substance use from adolescence to early adulthood. Development and Psychopathology, 25(1), 223–239.
Rivera, A. V., Harriman, G., Carrillo, S. A., & Braunstein, S. L. (2021). Trends in methamphetamine use among men who have sex with men in New York City, 2004–2017. AIDS and Behavior, 25(4), 1210–1218.
Sattah, M. V., Supawitkul, S., Dondero, T. J., Kilmarx, P. H., Young, N. L., Mastro, T. D., Chaikummao, S., Manopaiboon, C., & van Griensven, F. (2002). Prevalence of and risk factors for methamphetamine use in northern Thai youth: Results of an audio-computer-assisted self-interviewing survey with urine testing. Addiction, 97(7), 801–808.
Schauss, E., Zettler, H., Naik, S., Ellmo, F., Hawes, K., Dixon, P., Bartelli, D., Cogdal, P., & West, S. (2020). Adolescents in residential treatment: The prevalence of ACEs, substance use and justice involvement. Journal of Family Trauma, Child Custody & Child Development, 17(3), 249–267.
Selner-Ohagan, M., Kindlon, D., Buka, S., Raudenbush, S., & Earls, F. (1998). Assessing exposure to violence in urban youth. Journal of Child Psychology and Psychiatry and Allied Disciplines, 39(2), 215–224.
Semple, S. J., Zians, J., Grant, I., & Patterson, T. L. (2005). Impulsivity and methamphetamine use. Journal of Substance Abuse Treatment, 29(2), 85–93.
Spencer-Smith, M., & Anderson, V. (2009). Healthy and abnormal development of the prefrontal cortex. Developmental Neurorehabilitation, 12(5), 279–297.
Steinberg, L., Albert, D., Cauffman, E., Banich, M., Graham, S., & Woolard, J. (2008). Age differences in sensation seeking and impulsivity as indexed by behavior and self-report: Evidence for a dual systems model. Developmental Psychology, 44(6), 1764–1778.
Steinberg, L. (2010). A dual systems model of adolescent risk-taking. Developmental Psychobiology, 52(3), 216–224.
Stoneberg, D. M., Shukla, R. K., & Magness, M. B. (2018). Global methamphetamine trends: An evolving problem. International Criminal Justice Review, 28(2), 136–161.
Thornberry, T. P., Lizotte, A. J., Krohn, M. D., Farnworth, M., & Jang, S. J. (1994). Delinquent peers, beliefs, and delinquent behavior: A longitudinal test of interactional theory. Criminology, 32, 47–83.
Thylstrup, B., & Hesse, M. (2016). Impulsive lifestyle counseling to prevent dropout from treatment for substance use disorders in people with antisocial personality disorder: A randomized study. Addictive Behaviors, 57, 48–54.
Thylstrup, B., Schrøder, S., & Hesse, M. (2015). Psycho-education for substance use and antisocial personality disorder: A randomized trial. BMC Psychiatry, 15(1), 283.
Vaughn, M. G., Howard, M. O., Foster, K. A., Dayton, M. K., & Zelner, J. L. (2005). Substance use in a state population of incarcerated juvenile offenders. Journal of Evidence-Based Social Work, 2(1–2), 155–173.
Vivolo-Kantor, A. M., Hoots, B. E., Seth, P., & Jones, C. M. (2020). Recent trends and associated factors of amphetamine-type stimulant overdoses in emergency departments. Drug and Alcohol Dependence, 216, 108323.
Weinberger, D. A., Feldman, S. S., Ford, M. E., & Chastain, R. L. (1987). Construct validity of the Weinberger Adjustment Inventory. Unpublished manuscript.
Wheeler, D. S., Underhill, S. M., Stolz, D. B., Murdoch, G. H., Thiels, E., Romero, G., & Amara, S. G. (2015). Amphetamine activates Rho GTPase signaling to mediate dopamine transporter internalization and acute behavioral effects of amphetamine. Proceedings of the National Academy of Sciences, 112(51), E7138–E7147.
Whiteside, L. K., Cunningham, R. M., Bonar, E. E., Blow, F., Ehrlich, P., & Walton, M. A. (2015). Nonmedical prescription stimulant use among youth in the emergency department: Prevalence, severity and correlates. Journal of Substance Abuse Treatment, 48, 21–27.
Wojciechowski, T. W. (2020a). The relevance of the dual systems model of self-control for age-related deceleration in offending variety among juvenile offenders. Journal of Criminal Justice, 70. https://doi.org/10.1016/j.jcrimjus.2020.101716
Wojciechowski, T. (2020). Relevance of routine activities for understanding the impact of the dual systems model on binge drinking among college students. Drug and Alcohol Dependence, 216, 108233.
Wojciechowski, T. (2021). Relevance of the dual systems model for predicting drug/alcohol dependence in early adulthood among previously adjudicated young adults. Drug and Alcohol Dependence, 226, 108876.
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Wojciechowski, T. Salience of Dual Systems Constructs for Predicting Stimulant/Amphetamine Use Across Adolescence and Early Adulthood: a Mixed Effects Modeling Approach. J Dev Life Course Criminology 7, 676–694 (2021). https://doi.org/10.1007/s40865-021-00181-9
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DOI: https://doi.org/10.1007/s40865-021-00181-9