Developmental pathways of adolescent cannabis use: Risk factors, outcomes and sex-specific differences

References

• Anthony, J. C., Warner, L. A., & Kessler, R. C. (1994). Comparative epidemiology of dependence on tobacco, alcohol, controlled substances, and inhalants: Basic findings from the National Comorbidity Survey. Experimental and Clinical Psychopharmacology, 2(3), 244.
   Web of Science ®Google Scholar
• Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Three-step approaches using M plus. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 329–341.
   Web of Science ®Google Scholar
• Baltes, P. B., Cornelius, S. W., & Nesselroade, J. R. (1979). Cohort effects in developmental psychology. In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal Research in the Study of Behavior and Development. New York, NY: Academic Press.
   Google Scholar
• Bechtold, J., Simpson, T., White, H. R., & Pardini, D. (2015). Chronic adolescent marijuana use as a risk factor for physical and mental health problems in young adult men. Psychology of Addictive Behaviors, 29(3), 552–563.
   PubMed Web of Science ®Google Scholar
• Brady, K. T., & Randall, C. L. (1999). Gender differences in substance use disorders. The Psychiatric Clinics of North America, 22(2), 241–252.
   PubMed Web of Science ®Google Scholar
• Brook, J. S., Lee, J. Y., Brown, E. N., Finch, S. J., & Brook, D. W. (2011). Developmental trajectories of marijuana use from adolescence to adulthood: Personality and social role outcomes. Psychological Reports, 108(2), 339–357. doi:10.2466/10.18.Pr0.108.2.339-357
   PubMed Web of Science ®Google Scholar
• Brook, J. S., Zhang, C. S., & Brook, D. W. (2011). Developmental trajectories of marijuana use from adolescence to adulthood: Personal predictors. Archives of Pediatrics & Adolescent Medicine, 165(1), 55–60.
   PubMed Web of Science ®Google Scholar
• Bryan, A. D., Schmiege, S. J., & Magnan, R. E. (2012). Marijuana use and risky sexual behavior among high-risk adolescents: Trajectories, risk factors, and event-level relationships. Developmental Psychology, 48(5), 1429.
   PubMed Web of Science ®Google Scholar
• Casadio, P., Fernandes, C., Murray, R. M., & Di Forti, M. (2011). Cannabis use in young people: The risk for schizophrenia. Neuroscience and Biobehavioral Reviews, 35(8), 1779–1787.
   PubMed Web of Science ®Google Scholar
• Chen, P., & Jacobson, K. C. (2012). Developmental trajectories of substance use from early adolescence to young adulthood: Gender and racial/ethnic differences. Journal of Adolescent Health, 50(2), 154–163.
   PubMed Web of Science ®Google Scholar
• Clark, D. B., Thatcher, D. L., & Tapert, S. F. (2008). Alcohol, psychological dysregulation, and adolescent brain development. Alcoholism: Clinical and Experimental Research, 32(3), 375–385. doi:ACER601 [pii] 10.1111/j.1530-0277.2007.00601.x
   PubMed Web of Science ®Google Scholar
• D'Amico, E. J., Osilla, K. C., & Hunter, S. B. (2010). Developing a group motivational interviewing intervention for adolescents at-risk for developing an alcohol or drug use disorder. Alcoholism Treatment Quarterly, 28(4), 417–436.
   PubMedGoogle Scholar
• D’Amico, E. J., Edelen, M. O., Miles, J. N., & Morral, A. R. (2008). The longitudinal association between substance use and delinquency among high-risk youth. Drug and Alcohol Dependence, 93(1-2), 85–92.
   PubMed Web of Science ®Google Scholar
• de Wit, H. (2009). Impulsivity as a determinant and consequence of drug use: A review of underlying processes. Addiction Biology, 14(1), 22–31. doi:10.1111/j.1369-1600.2008.00129.x
   PubMed Web of Science ®Google Scholar
• Duncan, S. C., Duncan, T. E., & Strycker, L. A. (2006). Alcohol use from ages 9 to 16: A cohort-sequential latent growth model. Drug and Alcohol Dependence, 81(1), 71–81.
   PubMed Web of Science ®Google Scholar
• Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 8(3), 430–457.
   Web of Science ®Google Scholar
• Feng, Z. D., & McCulloch, C. E. (1996). Using bootstrap likelihood ratios in finite mixture models. Journal of the Royal Statistical Society. Series B (Methodological), 58, 609–617.
   Web of Science ®Google Scholar
• Fergusson, D. M., Horwood, L. J., & Ridder, E. M. (2007). Conduct and attentional problems in childhood and adolescence and later substance use, abuse and dependence: Results of a 25-year longitudinal study. Drug and Alcohol Dependence, 88, S14–S26.
   PubMed Web of Science ®Google Scholar
• Flory, K., Lynam, D., Milich, R., Leukefeld, C., & Clayton, R. (2004). Early adolescent through young adult alcohol and marijuana use trajectories: Early predictors, young adult outcomes, and predictive utility. Development and Psychopathology, 16(01), 193–213.
   PubMed Web of Science ®Google Scholar
• Gonzalez, R., Rippeth, J. D., Carey, C. L., Heaton, R. K., Moore, D. J., Schweinsburg, B. C., … Grant, I. (2004). Neurocognitive performance of methamphetamine users discordant for history of marijuana exposure. Drug and Alcohol Dependence, 76(2), 181–190.
   PubMed Web of Science ®Google Scholar
• Gonzalez, R., Schuster, R. M., Mermelstein, R. J., Vassileva, J., Martin, E. M., & Diviak, K. R. (2012). Performance of young adult cannabis users on neurocognitive measures of impulsive behavior and their relationship to symptoms of cannabis use disorders. Journal of Clinical and Experimental Neuropsychology, 34(9), 962–976.
   PubMed Web of Science ®Google Scholar
• Homel, J., Thompson, K., & Leadbeater, B. (2014). Trajectories of marijuana use in youth ages 15–25: Implications for postsecondary education experiences. Journal of Studies on Alcohol and Drugs, 75(4), 674–683.
   PubMed Web of Science ®Google Scholar
• Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2009). Monitoring the future national results on adolescent drug use: overview of key findings, 2008. Bethesda, MD: National Institute on Drug Abuse.
   Google Scholar
• Johnston, L. D., O'Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2017). Monitoring the Future national survey results on drug use, 1975-2016: Overview, key findings on adolescent drug use. Ann Arbor: Institute for Social Research, The University of Michigan, 113 pp.
   Google Scholar
• Jung, T., & Wickrama, K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302.
   Google Scholar
• Kedzior, K. K., & Laeber, L. T. (2014). A positive association between anxiety disorders and cannabis use or cannabis use disorders in the general population-a meta-analysis of 31 studies. BMC Psychiatry, 14(1), 136
   PubMedGoogle Scholar
• Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602.
   PubMed Web of Science ®Google Scholar
• Khan, S. S., Secades-Villa, R., Okuda, M., Wang, S., Pérez-Fuentes, G., Kerridge, B. T., & Blanco, C. (2013). Gender differences in cannabis use disorders: Results from the National Epidemiologic Survey of Alcohol and Related Conditions. Drug and Alcohol Dependence, 130(1-3), 101–108.
   PubMed Web of Science ®Google Scholar
• Korhonen, T., van Leeuwen, A. P., Reijneveld, S. A., Ormel, J., Verhulst, F. C., & Huizink, A. C. (2010). Externalizing behavior problems and cigarette smoking as predictors of cannabis use: The TRAILS study. Journal of the American Academy of Child and Adolescent Psychiatry, 49(1), 61–69.
   PubMed Web of Science ®Google Scholar
• Lee, S. S., Humphreys, K. L., Flory, K., Liu, R., & Glass, K. (2011). Prospective association of childhood attention-deficit/hyperactivity disorder (ADHD) and substance use and abuse/dependence: A meta-analytic review. Clinical Psychology Review, 31(3), 328–341.
   PubMed Web of Science ®Google Scholar
• Lejuez, C., Magidson, J. F., Mitchell, S. H., Sinha, R., Stevens, M. C., & De Wit, H. (2010). Behavioral and biological indicators of impulsivity in the development of alcohol use, problems, and disorders. Alcoholism: Clinical and Experimental Research, 34(8), 1334–1345.
   PubMed Web of Science ®Google Scholar
• Lev-Ran, S., Roerecke, M., Le Foll, B., George, T., McKenzie, K., & Rehm, J. (2014). The association between cannabis use and depression: A systematic review and meta-analysis of longitudinal studies. Psychological Medicine, 44(04), 797–810.
   PubMedGoogle Scholar
• Lisdahl, K. M., & Price, J. S. (2012). Increased marijuana use and gender predict poorer cognitive functioning in adolescents and emerging adults. Journal of the International Neuropsychological Society, 18(04), 678–688.
   PubMedGoogle Scholar
• Lopez‐Quintero, C., & Anthony, J. C. (2015). Drug use disorders in the polydrug context: New epidemiological evidence from a foodborne outbreak approach. Annals of the New York Academy of Sciences, 1349(1), 119–126.
   PubMedGoogle Scholar
• MacPherson, L., Magidson, J. F., Reynolds, E. K., Kahler, C. W., & Lejuez, C. W. (2010). Changes in sensation seeking and risk-taking propensity predict increases in alcohol use among early adolescents. Alcoholism: Clinical and Experimental Research, 34(8), 1400–1408. doi:10.1111/j.1530-0277.2010.01223.x
   PubMed Web of Science ®Google Scholar
• Manrique-Garcia, E., Zammit, S., Dalman, C., Hemmingsson, T., & Allebeck, P. (2012). Cannabis use and depression: A longitudinal study of a national cohort of Swedish conscripts. BMC Psychiatry, 12(1), 112.
   PubMedGoogle Scholar
• Maslowsky, J., Schulenberg, J. E., & Zucker, R. A. (2014). Influence of conduct problems and depressive symptomatology on adolescent substance use: Developmentally proximal versus distal effects. Developmental Psychology, 50(4), 1179.
   PubMed Web of Science ®Google Scholar
• Merikangas, K. R., He, J-P., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L., … Swendsen, J. (2010). Lifetime prevalence of mental disorders in US adolescents: Results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A). Journal of the American Academy of Child and Adolescent Psychiatry, 49(10), 980–989.
   PubMed Web of Science ®Google Scholar
• Merikangas, K. R., Mehta, R. L., Molnar, B. E., Walters, E. E., Swendsen, J. D., Aguilar-Gaziola, S., … Kessler, R. C. (1998). Comorbidity of substance use disorders with mood and anxiety disorders: Results of the International Consortium in Psychiatric Epidemiology. Addictive Behaviors, 23(6), 893–907.
   PubMed Web of Science ®Google Scholar
• Mitchell, C. M., Novins, D. K., & Holmes, T. (1999). Marijuana use among American Indian adolescents: A growth curve analysis from ages 14 through 20 years. Journal of the American Academy of Child and Adolescent Psychiatry, 38(1), 72–78.
   PubMed Web of Science ®Google Scholar
• Muthen, B. O. (2004). Latent variable analysis. Growth mixture modeling and related techniques for longitudinal data. In D. Kaplan (Ed.), Handbook of Quantitative Methodology for the Social Sciences (pp. 345–368). Newbury Park, CA: Sage Publications.
   Google Scholar
• Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide. 7th edition. Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• National Academies of Sciences & Medicine (2017). The Health Effects of Cannabis and Cannabinoids: The Current State of Evidence and Recommendations for Research.
   Google Scholar
• Oshri, A., Rogosch, F. A., Burnette, M. L., & Cicchetti, D. (2011). Developmental pathways to adolescent cannabis abuse and dependence: Child maltreatment, emerging personality, and internalizing versus externalizing psychopathology. Psychology of Addictive Behaviors, 25(4), 634.
   PubMed Web of Science ®Google Scholar
• Pardini, D., Bechtold, J., Loeber, R., & White, H. (2015). Developmental trajectories of marijuana use among men examining linkages with criminal behavior and psychopathic features into the mid-30s. Journal of Research in Crime and Delinquency, 52(6), 797–828.
   PubMed Web of Science ®Google Scholar
• Preacher, K. J., Wichman, A. L., Briggs, N. E., & MacCallum, R. C. (2008). Latent growth curve modeling. Los Angeles, CA: Sage.
   Google Scholar
• Rettew, D. C., & McKee, L. (2005). Temperament and its role in developmental psychopathology. Harvard Review of Psychiatry, 13(1), 14–27.
   PubMed Web of Science ®Google Scholar
• Ricciardelli, L. A., Connor, J. P., Williams, R. J., & Young, R. M. (2001). Gender stereotypes and drinking cognitions as indicators of moderate and high risk drinking among young women and men. Drug and Alcohol Dependence, 61(2), 129–136.
   PubMed Web of Science ®Google Scholar
• Rippeth, J. D., Heaton, R. K., Carey, C. L., Marcotte, T. D., Moore, D. J., Gonzalez, R. L., … HNRC Group. (2004). Methamphetamine dependence increases risk of neuropsychological impairment in HIV infected persons. Journal of the International Neuropsychological Society, 10(01), 1–14.
   PubMedGoogle Scholar
• Rubino, T., Realini, N., Braida, D., Guidi, S., Capurro, V., Viganò, D., … Parolaro, D. (2009). Changes in hippocampal morphology and neuroplasticity induced by adolescent THC treatment are associated with cognitive impairment in adulthood. Hippocampus, 19(8), 763–772.
   PubMed Web of Science ®Google Scholar
• Schepis, T. S., Desai, R. A., Cavallo, D. A., Smith, A. E., McFetridge, A., Liss, T. B., … Krishnan-Sarin, S. (2011). Gender differences in adolescent marijuana use and associated psychosocial characteristics. Journal of Addiction Medicine, 5(1), 65.
   PubMed Web of Science ®Google Scholar
• Schneider, M., & Koch, M. (2003). Chronic pubertal, but not adult chronic cannabinoid treatment impairs sensorimotor gating, recognition memory, and the performance in a progressive ratio task in adult rats. Neuropsychopharmacology, 28, 1760–1769.
   PubMed Web of Science ®Google Scholar
• Scholes-Balog, K. E., Hemphill, S. A., Evans-Whipp, T. J., Toumbourou, J. W., & Patton, G. C. (2016). Developmental trajectories of adolescent cannabis use and their relationship to young adult social and behavioural adjustment: A longitudinal study of Australian youth. Addictive Behaviors, 53, 11–18.
   PubMed Web of Science ®Google Scholar
• Schulenberg, J. E., Merline, A. C., Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Laetz, V. B. (2005). Trajectories of marijuana use during the transition to adulthood: The big picture based on national panel data. Journal of Drug Issues, 35(2), 255–279.
   PubMed Web of Science ®Google Scholar
• Schulte, M. T., Ramo, D., & Brown, S. A. (2009). Gender differences in factors influencing alcohol use and drinking progression among adolescents. Clinical Psychology Review, 29(6), 535–547.
   PubMed Web of Science ®Google Scholar
• Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6 (2), 461–464. doi:10.1214/aos/1176344136
   Web of Science ®Google Scholar
• Shaffer, D., Fisher, P., Lucas, C. P., Dulcan, M. K., & Schwab-Stone, M. E. (2000). NIMH diagnostic interview schedule for children version IV (NIMH DISC- IV): Description, differences from previous versions, and reliability of some common diagnoses. Journal of the American Academy of Child and Adolescent Psychiatry, 39(1), 28–38.
   PubMed Web of Science ®Google Scholar
• Sloboda, Z., Glantz, M. D., & Tarter, R. E. (2012). Revisiting the concepts of risk and protective factors for understanding the etiology and development of substance use and substance use disorders: Implications for prevention. Substance Use and Misuse, 47(8-9), 944–962.
   PubMed Web of Science ®Google Scholar
• Solowij, N., Jones, K. A., Rozman, M. E., Davis, S. M., Ciarrochi, J., Heaven, P. C. L., … Yücel, M. (2012). Reflection impulsivity in adolescent cannabis users: A comparison with alcohol-using and non-substance-using adolescents. Psychopharmacology, 219(2), 575–586.
   PubMed Web of Science ®Google Scholar
• Spear, L. (2010). The behavioral neuroscience of adolescence. New York: WW Norton & Company.
   Google Scholar
• Squeglia, L. M., Jacobus, J., & Tapert, S. F. (2009). The influence of substance use on adolescent brain development. Clinical EEG and Neuroscience, 40(1), 31–38.
   PubMed Web of Science ®Google Scholar
• Swendsen, J., Conway, K. P., Degenhardt, L., Glantz, M., Jin, R., Merikangas, K. R., … Kessler, R. C. (2010). Mental disorders as risk factors for substance use, abuse and dependence: Results from the 10‐year follow‐up of the National Comorbidity Survey. Addiction, 105(6), 1117–1128.
   PubMed Web of Science ®Google Scholar
• Tucker, J. S., Ellickson, P. L., Orlando, M., Martino, S. C., & Klein, D. J. (2005). Substance use trajectories from early adolescence to emerging adulthood: A comparison of smoking, binge drinking, and marijuana use. Journal of Drug Issues, 35(2), 307–331.
   Web of Science ®Google Scholar
• Walitzer, K. S., & Dearing, R. L. (2006). Gender differences in alcohol and substance use relapse. Clinical Psychology Review, 26(2), 128–148.
   PubMed Web of Science ®Google Scholar
• White, H. R., Bechtold, J., Loeber, R., & Pardini, D. (2015). Divergent marijuana trajectories among men: Socioeconomic, relationship, and life satisfaction outcomes in the mid-30s. Drug and Alcohol Dependence, 156, 62–69.
   PubMed Web of Science ®Google Scholar
• Wilkinson, G. S., & Robertson, G. (2006). Wide range achievement test (WRAT4). Lutz: Psychological Assessment Resources.
   Google Scholar
• Wills, T. A., & Dishion, T. J. (2004). Temperament and adolescent substance use: A transactional analysis of emerging self-control. Journal of Clinical Child and Adolescent Psychology, 33(1), 69–81.
   PubMed Web of Science ®Google Scholar