Patterns of Substance Use, Delinquency, and Risk Factors Among Adolescent Inhalant Users

REFERENCES

• Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317–332. doi:10.1007/bf02294359
   Web of Science ®Google Scholar
• Asparouhov, T., & Muthén, B. (2013). Auxiliary variables in mixture modeling: 3–step approaches using Mplus. Accessed on January 29, 2014 from http://www.statmodel.com/examples/ webnotes/webnote15.pdf
   Google Scholar
• Bowen, S. E. (2011). Two serious and challenging medical complications associated with volatile substance misuse: Sudden sniffing death and fetal solvent syndrome. Substance Use & Misuse, 46 Suppl 1, 68–72. doi:10.3109/10826084.2011.580220
   PubMed Web of Science ®Google Scholar
• Bowen, S. E., Daniel, J., & Balster, R. L. (1999). Deaths associated with inhalant abuse in Virginia from 1987 to 1996. Drug and Alcohol Dependence, 53, 239–245. http://dx.doi.org/10.1016/S0376-8716">10.1016/S0376-8716(98)00139-2
   PubMed Web of Science ®Google Scholar
• Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis. New Jersey: John Wiley and Sons, Inc.
   Google Scholar
• Cohen, D. A., & Rice, J. (1997). Parenting styles, adolescent substance use, and academic achievement. Journal of Drug Education, 27, 199–211.
   PubMed Web of Science ®Google Scholar
• Crano, W. D., Gilbert, C., Alvaro, E. M., & Siegel, J. T. (2008). Enhancing prediction of inhalant abuse risk in samples of early adolescents: A secondary analysis. Addictive Behaviors, 33, 895–905. doi:10.1016/j.addbeh.2008.02.006
   PubMed Web of Science ®Google Scholar
• Crano, W. D., Ting, S. A., & Hemovich, V. (2009). Inhalants. In L. M. Cohen, F. L. Collins, Jr., A. M. Young, D. E. McChargue, T. R. Leffingwell & K. L. Cook (Eds.), Pharmacology and treatment of substance abuse: Evidence- and outcome-based perspectives (pp. 375–392). New York, NY US: Routledge/Taylor & Francis Group.
   Google Scholar
• Crocetti, M. (2008). Inhalants. Pediatrics in Review, 29, 33–34. doi:10.1542/pir.29-1-33
   PubMedGoogle Scholar
• Garland, E., & Howard, M. O. (2011). Desistance motivations among adolescent inhalant users: Latent class and latent profile analyses. Addiction Research & Theory, 19, 189–198. doi:10.3109/16066359.2010.520770
   Web of Science ®Google Scholar
• Garland, E. L., & Howard, M. O. (2012). Volatile substance misuse: Clinical considerations, neuropsychopharmacology and potential role of pharmacotherapy in management. CNS Drugs, 26, 927–935. doi:10.1007/s40263-012-0001-6
   Google Scholar
• Garland, E. L., Howard, M. O., Vaughn, M. G., & Perron, B. E. (2011). Volatile substance misuse in the United States. Substance Use & Misuse, 46 Suppl 1, 8–20. doi:10.3109/10826084.2011.580172
   Google Scholar
• Harrison, L., & Hughes, A. (1997). The validity of self-reported drug use: Improving the accuracy of survey estimates. NIDA Research Monograph, 167, 1–16.
   PubMedGoogle Scholar
• Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112, 64–105.
   PubMed Web of Science ®Google Scholar
• Hemovich, V., & Crano, W. D. (2009). Family structure and adolescent drug use: An exploration of single-parent families. Substance Use & Misuse, 44, 1–15. doi:10.3109/10826080902858375
   Google Scholar
• Hemovich, V., Lac, A., & Crano, W. D. (2011). Understanding early-onset drug and alcohol outcomes among youth: The role of family structure, social factors, and interpersonal perceptions of use. Psychology, Health, & Medicine, 16, 249–267. doi:10.1080/13548506.2010.532560
   PubMed Web of Science ®Google Scholar
• Howard, M. O., Bowen, S. E., Garland, E. L., Perron, B. E., & Vaughn, M. G. (2011). Inhalant use and inhalant use disorders in the United States. Addiction Science & Clinical Practice, 6, 18–31.
   PubMedGoogle Scholar
• Howard, M. O., Garland, E. L., Sharp, C. W., & Beauvais, F. (In press). Inhalant-related disorders. In A. Tasman, J. Kay, J. A. Lieberman, M. B. First & M. Riba (Eds.), Psychiatry (Vols 1 & 2, 4th ed.). New York, NY: John Wiley & Sons Ltd.
   Google Scholar
• Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2007). Monitoring the Future national survey results on drug use, 1975–2006. Volume I: Secondary school students. Bethesda, MD: National Institute on Drug Abuse.
   Google Scholar
• Lac, A., & Crano, W. D. (2009). Monitoring matters: Meta-analytic review reveals the reliable linkage of parental monitoring with adolescent marijuana use. Perspectives on Psychological Science, 4, 578–586. doi:10.1111/j.1745-6924.2009.01166.x
   Web of Science ®Google Scholar
• Lazarsfeld, P. F., & Henry, N. W. (1968). Latent structure analysis. Boston, MA: Houghton Mifflin.
   Google Scholar
• Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88, 767–778. doi:10.1093/biomet/88.3.767
   Web of Science ®Google Scholar
• Loeber, R., Stouthamer-Loeber, M., & White, H. R. (1999). Developmental aspects of delinquency and internalizing problems and their association with persistent juvenile substance use between ages 7 and 18. Journal of Clinical Child Psychology, 28, 322–332. doi:10.1207/S15374424jccp280304
   PubMed Web of Science ®Google Scholar
• Magidson, J., & Vermunt, J. K. (2004). Latent class models. In D. Kaplan (Ed.), The Sage Handbook of Quantitative Methodology for the Social Sciences (pp. 175–198). Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Miller, S. M., Siegel, J. T., Hohman, Z., & Crano, W. D. (2013). Factors mediating the association of the recency of parent's marijuana use and their adolescent children's subsequent initiation. Psychology of Addictive Behaviors, 27, 848–853. doi:10.1037/a0032201
   PubMed Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user's guide (7th ed.). Los Angeles, CA: Muthén and Muthén.
   Google Scholar
• Nonnemaker, J. M., Crankshaw, E. C., Shive, D. R., Hussin, A. H., & Farrelly, M. C. (2011). Inhalant use initiation among U.S. adolescents: Evidence from the National Survey of Parents and Youth using discrete-time survival analysis. Addictive Behaviors, 36, 878–881. http://dx.doi.org/10.1016/j.addbeh.2011.03.009">10.1016/j.addbeh.2011.03.009
   PubMed Web of Science ®Google Scholar
• Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14, 535–569. doi:10.1080/10705510701575396
   Web of Science ®Google Scholar
• Perron, B. E., Vaughn, M. G., & Howard, M. O. (2008). Reasons for using inhalants: Evidence for discrete classes in a sample of incarcerated adolescents. Journal of Substance Abuse Treatment, 34, 450–455. doi:10.1016/j.jsat.2007.05.008
   PubMed Web of Science ®Google Scholar
• Ramirez, J. R., Crano, W. D., Quist, R., Burgoon, M., Alvaro, E. M., & Grandpre, J. (2004). Acculturation, familism, parental monitoring, and knowledge as predictors of marijuana and inhalant use in adolescents. Psychology of Addictive Behaviors, 18, 3–11. doi:10.1037/0893-164x.18.1.3
   PubMed Web of Science ®Google Scholar
• Richter, L., & Johnson, P. B. (2001). Current methods of assessing substance use: A review of strengths, problems, and developments. Journal of Drug Issues, 31, 809–832. doi:10.1177/002204260103100401
   Web of Science ®Google Scholar
• Schwartz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461–464. doi:10.1214/aos/1176344136
   Web of Science ®Google Scholar
• Sclove, S. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52, 333–343. doi:10.1007/bf02294360
   Web of Science ®Google Scholar
• Scott, K. D., & Scott, A. A. (2014). Adolescent inhalant use and executive cognitive functioning. Child: Care, Health and Development, 40, 20–28. doi:10.1111/cch.12052
   PubMedGoogle Scholar
• Siegel, J. T., Alvaro, E. M., Patel, N., & Crano, W. D. (2009). ‘…you would probably want to do it. Cause that's what made them popular’: Exploring perceptions of inhalant utility among young adolescent nonusers and occasional users. Substance Use & Misuse, 44, 597–615. doi:10.1080/10826080902809543
   PubMed Web of Science ®Google Scholar
• Siegel, J. T., Crano, W. D., Alvaro, E. M., Lac, A., Hackett, J. D., & Hohman, Z. P. (2014). Differentiating common predictors and outcomes of marijuana initiation: A retrospective longitudinal analysis. Substance Use & Misuse, 49, 30–40. doi:10.3109/10826084.2013.817427
   PubMed Web of Science ®Google Scholar
• Smith, G. T., McCarthy, D. M., & Goldman, M. S. (1995). Self-reported drinking and alcohol-related problems among early adolescents: dimensionality and validity over 24 months. Journal of Studies on Alcohol, 56, 383–394.
   PubMed Web of Science ®Google Scholar
• Substance Abuse and Mental Health Services Administration. (2013). Results from the 2012 National Survey on Drug Use and Health: Summary of national findings. (NSDUH Series H-46, HHS Publication No. (SMA) 13-4795). Rockville, MD: SAMHSA.
   Google Scholar
• Substance Abuse and Mental Health Services Administration. (2011). Adults represent majority of inhalant treatment admissions (Center for Behavioral Health Statistics and Quality, Data Spotlight, Treatment Episode Data Set, March 17). Rockville, MD: SAMHSA.
   Google Scholar
• Takagi, M., Yucel, M., Cotton, S. M., Baliz, Y., Tucker, A., Elkins, K. (2011). Verbal memory, learning, and executive functioning among adolescent inhalant and cannabis users. Journal of Studies on Alcohol and Drugs, 72, 96–105.
   PubMed Web of Science ®Google Scholar
• United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Center for Behavioral Health Statistics and Quality. (2013). National Survey on Drug Use and Health, 2012. ICPSR34933-v1. Ann Arbor, MI: Inter- university Consortium for Political and Social Research [distributor], 2013-11-26.
   Google Scholar
• Vaughn, M. G., Fu, Q., Perron, B. E., & Wu, L. T. (2012). Risk profiles among adolescent nonmedical opioid users in the United States. Addictive Behaviors, 37, 974–977. doi:10.1016/j.addbeh.2012.03.015
   PubMed Web of Science ®Google Scholar
• Vaughn, M. G., Perron, B. E., & Howard, M. O. (2007). Variations in social contexts and their effect on adolescent inhalant use: A latent profile investigation. Drug and Alcohol Dependence, 91, 129–133. doi:10.1016/j.drugalcdep.2007.05.012
   PubMedGoogle Scholar
• Vermunt, J. K. (2010). Latent class modeling with covariates: Two improved three-step approaches. Political Analysis, 18, 450–469. doi:10.1093/pan/mpq025
   Web of Science ®Google Scholar
• Wu, L. T., Pilowsky, D. J., & Schlenger, W. E. (2004). Inhalant abuse and dependence among adolescents in the United States. Journal of the American Academy of Child and Adolescent Psychiatry, 43, 1206–1214. doi:10.1097/01.chi.0000134491.42807.a3
   PubMed Web of Science ®Google Scholar