College students’ patterns of electronic nicotine delivery system use and other substance use

References

• U.S. Department of Health and Human Services. Surgeon General’s Advisory on E-Cigarette Use among Youth. Atlanta, GA; 2018.
   Google Scholar
• American College Health Association. American College Health Association-National College Health Assessment II: Reference Group Undergraduates Executive Summary Fall 2015. Hanover, MD; 2016.
   Google Scholar
• American College Health Association. American College Health Association-National College Health Assessment II: Undergraduate Executive Summary Spring 2019. Silver Spring, MD; 2019.
   Google Scholar
• Goriounova NA, Mansvelder HD. Short- and long-term consequences of nicotine exposure during adolescence for prefrontal cortex neuronal network function. Cold Spring Harb Perspect Med. 2012;2(12):1–14. doi:10.1101/cshperspect.a012120.
   Web of Science ®Google Scholar
• Musso F, Bettermann F, Vucurevic G, Stoeter P, Konrad A, Winterer G. Smoking impacts on prefrontal attentional network function in young adult brains. Psychopharmacology (Berl). 2007;191(1):159–169. doi:10.1007/s00213-006-0499-8.
   PubMed Web of Science ®Google Scholar
• U.S. Department of Health and Human Services. The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General, 2014. https://www.surgeongeneral.gov/library/reports/50-years-of-progress/index.html. Accessed December 7, 2018.
   Google Scholar
• National Academy of Sciences Engineering and Medicine, Health and Medicine Division, Board on Population Health and Health Practice, Committee on the Review of the Health Effects of Electronic Nicotine Delivery Systems, Eaton D, Kwan L, Stratton K, eds. Combustible Tobacco Cigarette Smoking among Youth and Young Adults (16). Washington, DC: National Academies Press; 2018.
   Google Scholar
• Skidmore CR, Kaufman EA, Crowell SE. Substance use among college students. Child Adolesc Psychiatr Clin N Am. 2016;25(4):735–753. doi:10.1016/j.chc.2016.06.004.
   PubMed Web of Science ®Google Scholar
• Roys MR, Peltier MR, Stewart SA, Waters AF, Waldo KM, Copeland AL. The association between problematic alcohol use, risk perceptions, and e-cigarette use. Am J Drug Alcohol Abuse. August 2019;46(2):1–8. doi:10.1080/00952990.2019.1654486.
   PubMed Web of Science ®Google Scholar
• Hefner KR, Sollazzo A, Mullaney S, Coker KL, Sofuoglu M. E-cigarettes, alcohol use, and mental health: Use and perceptions of e-cigarettes among college students, by alcohol use and mental health status. Addict Behav. 2019;91:12–20. doi:10.1016/J.ADDBEH.2018.10.040
   PubMed Web of Science ®Google Scholar
• Buu A, Hu Y-H, Wong S-W, Lin H-C. Comparing American college and noncollege young adults on e-cigarette use patterns including polysubstance use and reasons for using e-cigarettes. J Am Coll Heal. March 2019;68(6):1–7. doi:10.1080/07448481.2019.1583662.
   Web of Science ®Google Scholar
• Morean ME, Kong G, Camenga DR, Cavallo DA, Simon P, Krishnan-Sarin S. Latent class analysis of current e-cigarette and other substance use in high school students. Drug Alcohol Depend. 2016;161:292–297. doi:10.1016/j.drugalcdep.2016.02.018.
   PubMed Web of Science ®Google Scholar
• Miech RA, O'Malley PM, Johnston LD, Patrick ME. E-cigarettes and the drug use patterns of adolescents. Nicotine Tob Res. 2016;18(5):654–659. doi:10.1093/ntr/ntv217.
   PubMed Web of Science ®Google Scholar
• Clendennen SL, Loukas A, Creamer MR, Pasch KE, Perry CL. Longitudinal Patterns of multiple tobacco and nicotine product use among Texas college students: a latent transition analysis. Prev Sci. 2019;20(7):1031–1012. July doi:10.1007/s11121-019-01031-3
   PubMed Web of Science ®Google Scholar
• White HR, Labouvie EW. Towards the assessment of adolescent problem drinking. J Stud Alcohol. 1989;50(1):30–37. doi:10.15288/jsa.1989.50.30.
   PubMed Web of Science ®Google Scholar
• Adamson SJ, Kay-Lambkin FJ, Baker AL, et al. An improved brief measure of cannabis misuse: The Cannabis Use Disorders Identification Test-Revised (CUDIT-R). Drug Alcohol Depend. 2010;110(1-2):137–143. doi:10.1016/j.drugalcdep.2010.02.017.
   PubMed Web of Science ®Google Scholar
• Marcoulides GA, Schumacker RE. New Developments and Techniques in Structural Equation Modeling. Hove, East Sussex: Psychology Press; 2001.
   Google Scholar
• Nylund KL, Asparouhov T, Muthén BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Model A Multidiscip J. 2007;14(4):535–569. doi:10.1080/10705510701575396
   Web of Science ®Google Scholar
• Clark SL. Mixture modeling with behavioral data. 2010.
   Google Scholar
• Hagman BT. Diagnostic performance of the Rutgers Alcohol Problem Index (RAPI) in detecting DSM-5 alcohol use disorders among college students. J Addict Prev. 2017;5(2):1–7.
   Google Scholar
• Schultz NR, Bassett DT, Messina BG, Correia CJ. Evaluation of the psychometric properties of the cannabis use disorders identification test - revised among college students. Addict Behav. 2019;95:11–15. doi:10.1016/j.addbeh.2019.02.016.
   PubMed Web of Science ®Google Scholar
• Thurtle N, Abouchedid R, Archer JRH, et al. Prevalence of use of electronic nicotine delivery systems (ENDS) to vape recreational drugs by club patrons in south London. J Med Toxicol. 2017;13(1):61–65. doi:10.1007/s13181-016-0583-3.
   PubMed Web of Science ®Google Scholar
• Lee DC, Budney AJ, Brunette MF, Hughes JR, Etter J-F, Stanger C. Outcomes from a computer-assisted intervention simultaneously targeting cannabis and tobacco use. Drug Alcohol Depend. 2015;155:134–140. doi:10.1016/J.DRUGALCDEP.2015.08.001.
   PubMed Web of Science ®Google Scholar
• Peters EN, Budney AJ, Carroll KM. Clinical correlates of co-occurring cannabis and tobacco use: a systematic review. Addiction. 2012;107(8):1404–1417. doi:10.1111/j.1360-0443.2012.03843.x.
   PubMed Web of Science ®Google Scholar
• Verplaetse TL, McKee SA. An overview of alcohol and tobacco/nicotine interactions in the human laboratory. Am J Drug Alcohol Abuse. 2017;43(2):186–196. doi:10.1080/00952990.2016.1189927.
   PubMed Web of Science ®Google Scholar