Daily Reports of Positive and Negative Affect and Alcohol and Marijuana Use Among College Student and Nonstudent Young Adults

References

• Armeli, S., Conner, T. S., Cullum, J., & Tennen, H. (2010). A longitudinal analysis of drinking motives moderating the negative affect-drinking association among college students. Psychology of Addictive Behaviors, 24, 38–47. doi:10.1037/a0017530
   PubMed Web of Science ®Google Scholar
• Arnett, J. (1992). Reckless behavior in adolescence: A developmental perspective. Developmental Review, 12, 339–373.
   Web of Science ®Google Scholar
• Bachman, J. G., Johnston, L. D., O'Malley, P., & Schulenberg, J. (1996). Transitions in drug use during late adolescence and young adulthood. In J. A. Graber, J. Brooks-Gunn, & A. C. Petersen (Eds.), Transitions through adolescence: Interpersonal domains and context (pp. 111–140). Mahwah, NJ: Erlbaum.
   Google Scholar
• Bauer, D. J., & Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate and Behavioral Research, 40, 373–400. doi:10.1207/s15327906mbr4003_5
   PubMed Web of Science ®Google Scholar
• Bhushan, D., Blood, E., & Shrier, L. (2012). Momentary affective states predicting substance use events in depressed youth. Mental Health and Substance Use, 6, 203–218. doi:10.1080/17523281.2012.708357
   Google Scholar
• Del Boca, F. K., Darkes, J., Greenbaum, P. E., & Goldman, M. S. (2004). Up close and personal: Temporal variability in the drinking of individual college students during their first year. Journal of Consulting and Clinical Psychology, 72, 155–64. doi:10.1037/0022–006X.72.2.155
   PubMed Web of Science ®Google Scholar
• Hartzler, B., & Fromme, K. (2003). Heavy episodic drinking and college entrance. Journal of Drug Education, 33, 259–74.
   PubMed Web of Science ®Google Scholar
• Johnston, L. D., O'Malley, P. M., Bachman, J. G., and Schulenberg, J. E., (2013). Monitoring the Future national survey results on drug use, 1975–2012: Volume 2, College students and adults ages 19–50. Ann Arbor: Institute for Social Research, The University of Michigan.
   Google Scholar
• Lanza, S. T., & Collins, L. M. (2006). A mixture model of discontinuous development in heavy drinking from ages 18 to 30: The role of college enrollment. Journal of Studies on Alcohol, 67, 552–561.
   PubMed Web of Science ®Google Scholar
• Maggs, J. L., Williams, L. R., & Lee, C. M. (2011). Ups and downs of alcohol use among first-year college students: Number of drinks, heavy drinking, and stumble and pass out drinking days. Addictive Behaviors, 36, 197–202. doi:10.1016/j.addbeh.2010.10.005
   PubMed Web of Science ®Google Scholar
• O'Connor, R. M., & Colder, C. R. (2005). Predicting alcohol patterns in first-year college students through motivational systems and reasons for drinking. Psychology of Addictive Behaviors, 19, 10–20. doi:10.1037/0893–164X.19.1.10
   PubMed Web of Science ®Google Scholar
• O'Malley, P. M., and Johnston, L. D. (2002) Epidemiology of alcohol and other drug use among American college students. Journal of Studies on Alcohol and Drugs, Supplement No. 14, 23–39.
   Google Scholar
• Park, M. J., Mulye, T. P., Adams, S. H., Brindis, C. D., & Irwin, C. E. (2006). The health status of young adults in the United States. Journal of Adolescent Health, 39, 305–317. doi:10.1016/j.jadohealth.2009.03.013
   PubMed Web of Science ®Google Scholar
• Park, C. L., Armeli, S., and Tennen, H. (2004). The daily stress and coping process and alcohol use among college students. Journal of Studies on Alcohol, 65, 126–135.
   PubMed Web of Science ®Google Scholar
• Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437–448. doi:10.3102/10769986031004437
   Web of Science ®Google Scholar
• Rankin, L. A. & Maggs, J. L. (2006) First-year college student affect and alcohol use: Paradoxical within-and between-person associations. Journal of Youth and Adolescence, 35, 925–937. doi:10.1007/s10964-006-9073-2
   Web of Science ®Google Scholar
• Raudenbush, S. W. & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (Vol. 1). Thousand Oaks, CA: Sage.
   Google Scholar
• Raudenbush, S. W., Bryk, A. S., & Congdon, R. T. (2006). HLM Version 6.03. Chicago: Scientific Software International.
   Google Scholar
• Shrier, L. A., Ross, C. S., & Blood, E. A. (2014). Momentary positive and negative affect preceding marijuana use events in youth. Journal of Studies on Alcohol and Drugs, 5, 781–789.
   Google Scholar
• Schulenberg, J., O'Malley, P. M., Bachman, J. G., & Johnston, L. (2005). Early adult transitions and their relations to well-being and substance use. In R. A. Settersten, F. F. Furstenburg, & R. G. Rumbaut (Eds.), On the frontier of adulthood: Theory, research and public policy (pp. 417–453). Chicago, IL: University of Chicago Press.
   Google Scholar
• Simons, J. S. (2003). Differential prediction of alcohol use and problems: The role of biopsychological and social-environmental variables. American Journal of Drug and Alcohol Abuse, 29, 861–879. doi:10.1081/ADA-120026265
   PubMed Web of Science ®Google Scholar
• Simons, J. S. & Carey, K. B. (2002). Risk and vulnerability for marijuana use problems: The role of affect dysregulation. Psychology of Addictive Behaviors, 16, 72–75. doi:10.1037/0893–164X.16.1.72
   PubMed Web of Science ®Google Scholar
• Simons, J. S., Gaher, R. M., Correia, C. J., Hansen, C. L., & Christopher, M. S. (2005). An affective-motivational model of marijuana and alcohol problems among college students. Psychology of Addictive Behaviors, 19(3), 326--334. doi:10.1037/0893-164x.19.3.326.
   Google Scholar
• Simons, J. S., Dvorak, J. S., Batien, B. D., & Wray, T. B. (2010). Event-level associations between affect, alcohol intoxication, and acute dependence symptoms: Effects of urgency, self-control, and drinking experience. Addictive Behaviors, 35, 1045–1053. doi:10.1016/j.addbeh.2010.07.001
   PubMed Web of Science ®Google Scholar
• Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel analysis: An introduction to basic and advanced multilevel modeling. Thousand Oaks, CA: Sage.
   Google Scholar
• Substance Abuse and Mental Health Services Administration (SAMHSA). (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: Substance Abuse and Mental Health Services Administration.
   Google Scholar
• Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063. doi:10.1037/0022-3514.54.6.1063
   PubMed Web of Science ®Google Scholar
• Wechsler, H., Dowdall, G. W., Davenport, A., & Rimm, E. B. (1995). A gender-specific measure of binge drinking among college students. American Journal of Public Health, 85(7), 982–985. doi:10.2105/AJPH.85.7.982
   PubMed Web of Science ®Google Scholar
• White, H. R., Labouvie, E. W., & Papadaratsakis, V. (2005). Changes in substance use during the transition to adulthood: A comparison of college students and their noncollege age peers. Journal of Drug Issues, 35, 281–305. doi:10.1177/00220426050
   Web of Science ®Google Scholar