College Students’ Intent to Intervene when a Peer is Engaging in Nonmedical Use of Prescription Stimulants: An Application of the Theory of Planned Behavior

References

• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhi & J. Beckmann ( Eds.), Action-control: From Cognition to Behavior. (pp. 11–39). Retrieved from: http://people.umass.edu/ajzen/tpb.195.html
   Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.
   Google Scholar
• Ajzen (2006). Constructing a theory of planned behavior questionnaire. Retrieved from http://people.umass.edu/aizen/pdf/tpb.measurement.pdf.
   Google Scholar
• Armitage, C. J., & Talibudeen, L. (2010). Test of a brief theory of planned behaviour-based intervention to promote adolescent safe sex intentions. British Journal of Psychology, 101, 155–172. doi:10.1348/000712609x431728
   Google Scholar
• Arria, A. M., & DuPont, R. L. (2010). Nonmedical prescription stimulant use among college students: why we need to do something and what we need to do. Journal of Addictive Diseases, 29, 417–426. doi:10.1080/10550887.2010.509273
   Google Scholar
• Arria, A. M., Garnier-Dykstra, L. M., Caldiera, K. M., Vincent, K. B., O'Grady, K. E., & Wish, E. D. (2011). Persistent nonmedical use of prescription stimulants among college students: possible association with AD(H)D symptoms. Journal of Attention Disorders, 15, 347–356. doi:10.1177/1087054710367621
   Google Scholar
• Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84, 191–215.
   Google Scholar
• Banyard, V. L., Moynihan, M. M., & Plante, E. G. (2007). Sexual violence prevention through bystander education: An experimental evaluation. Journal of Community Psychology, 35, 463–481. doi:10.1002/jcop.20159
   Google Scholar
• Berkowitz, A. D. (2010). Fostering healthy norms to prevent violence and abuse: The social norms approach. In K. Kaufman ( Ed.), The prevention of sexual violence: A practitioner's sourcebook (pp. 147–172). Fitchburg, MA: NEARI Press.
   Google Scholar
• Berkowitz, A. D. (2011). Using how college men feel about being men and “doing the right thing” to promote men's development. In J. Laker & T. Davis ( Eds.), Masculinities in higher education: Theoretical and practical considerations (pp. 161–176). New York: Routledge.
   Google Scholar
• Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
   Google Scholar
• Coker, A. L., Fisher, B. L., Bush, H. M., Swan, S. C., Williams, C. M., Clear, E. R., & DeGue, S. (2015). Evaluation of the Green Dot bystander intervention to reduce interpersonal violence among college students across three campuses. Violence Against Women, 21, 1507–1527. doi:10.1177/1077801214545284
   Google Scholar
• Cutler, K. A. (2014). Prescription stimulants are “A Okay”: Applying neutralization theory to college students’ nonmedical prescription use. Journal of American College Health, 62, 478–486.
   Google Scholar
• Darley, J. M., & Latané, B. (1968). Bystander intervention in emergencies: Diffusion of responsibility. Journal of Personality and Social Psychology, 8, 377–383.
   Google Scholar
• Deitch-Stackhouse, J., Kenneavy, K., Thayer, R. Berkowitz, A., & Mascari, J. (2015). The influence of social norms on advancement through bystander stages for preventing interpersonal violence. Violence Against Women, 21, 1284–1307. doi:10.1177/1077801215592720
   Google Scholar
• DeLair, S., Feeley, T. H., Kim, H., del Rio Martin, J., Kim‐Schluger, L., LaPointe Rudow, D., … Teperman, L. (2010). A peer‐based intervention to educate liver transplant candidates about living donor liver transplantation. Liver Transplantation, 16, 42–48.
   Google Scholar
• DeSantis, A. D., Anthony, K. E., & Cohen, E. L. (2013). Illegal college AD(H)D stimulant distributors: Characteristics and potential areas of intervention. Substance Use & Misuse, 48, 446–456.
   Google Scholar
• DeSantis, A. D., & Hane, A. C. (2010). “Adderall is definitely not a drug”: justifications for the illegal use of AD(H)D stimulants. Substance Use & Misuse, 45, 31–46.
   Google Scholar
• DeSantis, A., Noar, S. M., & Webb, E. M. (2010). Speeding through the frat house: A qualitative exploration of nonmedical AD(H)D stimulant use in fraternities. Journal of Drug Education, 40, 157–171.
   Google Scholar
• DeSantis, A., Webb, E. M., & Noar, S. M. (2008). Illicit use of prescription ADHD medications on a college campus: A multimethodological approach. Journal of American College Health, 57, 315–323. doi: 10.3200/JACH.57.3.315-324
   Google Scholar
• Diamantopoulos, A., & Siguaw, J. A. (2009). Introducing LISREL. Los Angeles: SAGE.
   Google Scholar
• Drug Enforcement Administration (2016a). United States Code (USC) Controlled Substances Act. Department of Justice: Office of Diversion Control. Retrieved from http://www.deadiversion.usdoj.gov/21cfr/21usc/index.html
   Google Scholar
• Drug Enforcement Administration (2016b). Controlled substances by CEA schedule. Retrieved from http://www.deadiversion.usdoj.gov/schedules/orangebook/e_cs_sched.pdf
   Google Scholar
• Egbert, N., Miraldi, L. B., & Murniadi, K. (2014). Friends don't let friends suffer from depression: How threat, efficacy, knowledge, and empathy relate to college students'; intentions to intervene on behalf of a depressed friend. Journal of Health Communication, 19, 460–477. doi:10.1080/10810730.2013.821554
   Google Scholar
• Exner, D., & Cummings, N. (2011). Implications for sexual assault prevention: College students as prosocial bystanders. Journal of American College Health, 59, 655–657.
   Google Scholar
• Federal Drug Administration (2016). Dextroamphetamine and amphetamine. Retrieved from https://www.nlm.nih.gov/medlineplus/druginfo/meds/a601234.html
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior. Reading, MA: Addison-Wesley.
   Google Scholar
• Gallucci, A., Martin, R., Beaujean, A., & Usdan, S. (2015). An examination of the misuse of prescription stimulants among college students using the theory of planned behavior. Psychology, Health & Medicine, 20, 217–226. doi:10.1080/13548506.2014.913800
   Google Scholar
• Hall, K. M., Irwin, M. M., Bowman, K. A., Frankenberger, W., & Jewett, D. C. (2005). Illicit use of prescribed stimulant medication among college students. Journal of American College Health, 53, 167–174.
   Google Scholar
• Hatcher, L. (1994). A step by step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NC: SAS Institute Incorporated.
   Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. doi:10.1080/10705519909540118
   Google Scholar
• Hwang, Y. (2012). Social diffusion of campaign effects: Campaign-generated interpersonal communication as a mediator of anti-tobacco campaign effects. Communication Research, 39, 120–141. doi:10.1177/0093650210389029
   Google Scholar
• Judson, R., & Langdon, S. W. (2009). Illicit use of prescription stimulants among college students: prescription status, motives, theory of planned behaviour, knowledge and self-diagnostic tendencies. Psychology Health and Medicine, 14, 97–104.
   Google Scholar
• Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: Guilford Press.
   Google Scholar
• Latané, B., & Darley, J. M. (1970). The unresponsive bystander: Why doesn't he help? New York: Appleton-Century-Crofts.
   Google Scholar
• McCabe, S. E., Knight, J. R., Teter, C. J., & Wechsler, H. (2005). Non‐medical use of prescription stimulants among US college students: Prevalence and correlates from a national survey. Addiction, 100, 96–106.
   Google Scholar
• McDermott, M. S., Oliver, M., Simnadis, T., Beck, E. J., Coltman, T., Iverson, D., … Sharma, R. (2015). The theory of planned Behaviour and dietary patterns: A systematic review and meta-analysis. Preventative Medicine, 81, 150–156. doi:10.1016/j.ypmed.2015.08.020
   Google Scholar
• National Institute of Drug Abuse. (2014). Stimulant AD(H)D medications: Methylphenidate and amphetamines. Department of Health and Human Services. Retrieved from http://www.drugabuse.gov/publications/drugfacts/stimulant-AD(H)D-medications-methylphenidate-amphetamines on August 17, 2015
   Google Scholar
• Neuwirth, K., & Frederick, E. (2004). Peer and social influence on opinion expression: Combining the theories of planned behavior and the spiral of silence. Communication Research, 31, 669–703. doi:10.1177/0093650204269388
   Google Scholar
• Noar, S. M. (2006). A 10-year retrospective of research in health mass media campaigns: where do we go from here?. Journal of Health Communication, 11, 21–42. doi:10.1080/10810730500461059
   Google Scholar
• Oster-Aaland, L., Lewis, M. A., Neighbors, C., Vangsness, J., & Larimer, M. E. (2009). Alcohol poisoning among college students turning 21: Do they recognize the symptoms and how do they help?. Journal of Studies on Alcohol and Drugs, 16, 122–130.
   Google Scholar
• Ponnet, K., Wouters, E., Walrave, M., Heirman, W., & Van Hal, G. (2015). Predicting students' intention to use stimulants for academic performance enhancement. Substance Use & Misuse, 50, 275–282.
   Google Scholar
• Rabiner, D. L., Anastopoulos, A. D., Costello, E. J., Hoyle, R. H., McCabe, S. E., & Swartzwelder, H. S. (2009). The misuse and diversion of prescribed AD(H)D medications by college students. Journal of Attention Disorders, 13, 144–153. doi:10.1177/1087054708320414
   Google Scholar
• Reyna, V. F., & Farley, F. (2006). Risk and rationality in adolescent decision making: Implications for theory, practice, and public policy. Psychological Science in the Public Interest, 7, 1–44. doi:10.1111/j.1529-1006.2006.00026.x
   Google Scholar
• Steele, J. L., Peralta, R. L., & Elman, C. (2011). The co-ingestion of nonmedical prescription drugs and alcohol: a partial test of social learning theory. Journal of Drug Issues, 41, 561–585.
   Google Scholar
• Varela, A., & Pritchard, M. E. (2011). Peer influence: use of alcohol, tobacco, and prescription medications. Journal of American College Health, 59, 751–756.
   Google Scholar
• van den Eijnden, R. J. J. M., Spijkerman, R., & Engels, R. C. M. E. (2006). Relative contribution of smoker prototypes in predicting smoking among adolescents: A comparison with factors from the theory of planned behavior. European Addiction Research, 12, 113–120. doi:10.1159/000092112
   Google Scholar
• Weber, K. D., & Patterson, B. R. (1996). Construction and validation of a communication based emotional support scale. Communication Research Reports, 13, 68–76. doi:10.1080/08824099609362072
   Google Scholar