Compounding Privilege, Resilience, and Nonmedical Prescription Stimulant Use among College Students

References

• Ai, C., & Norton, E. C. (2003). Interaction terms in logit and probit models. Economics Letters, 80(1), 123–129. https://doi.org/10.1016/S0165-1765(03)00032-6
   Web of Science ®Google Scholar
• Arat, G., & Wong, P. W. (2019). Examining the association between resilience and risk behaviors among South Asian minority students in Hong Kong: A quantitative study. Journal of Social Service Research, 45(3), 360–372. https://doi.org/10.1080/01488376.2018.1480561
   Web of Science ®Google Scholar
• Arria, A. M., Caldeira, K. M., Vincent, K. B., O’Grady, K. E., Cimini, M. D., Geisner, I. M., Fossos-Wong, N., Kilmer, J. R., & Larimer, M. E. (2017). Do college students improve their grades by using prescription stimulants nonmedically? Addictive Behaviors, 65, 245–249. https://doi.org/10.1016/j.addbeh.2016.07.016
   PubMed Web of Science ®Google Scholar
• Arria, A. M., Geisner, I. M., Cimini, M. D., Kilmer, J. R., Caldeira, K. M., Barrall, A. L., Vincent, K. B., Fossos-Wong, N., Yeh, J. C., Rhew, I., Lee, C. M., Subramaniam, G. A., Liu, D., & Larimer, M. E. (2018). Perceived academic benefit is associated with nonmedical prescription stimulant use among college students. Addictive Behaviors, 76, 27–33.
   PubMed Web of Science ®Google Scholar
• Bavarian, N., Flay, B. R., Ketcham, P. L., & Smit, E. (2013). Development and psychometric properties of a theory-guided prescription stimulant misuse questionnaire for college students. Substance Use & Misuse, 48(6), 457–469. https://doi.org/10.3109/10826084.2013.778283
   PubMed Web of Science ®Google Scholar
• Bailey, M. (2018). On misogynoir: Citation, erasure, and plagiarism. Feminist Media Studies, 18(4), 762–768. https://doi.org/10.1080/14680777.2018.1447395
   Web of Science ®Google Scholar
• Bandura, A. (1969). Social-learning theory of identificatory processes. Handbook of Socialization Theory and Research, 213, 262. [Database][Mismatch
   Google Scholar
• Benson, K., Flory, K., Humphreys, K. L., & Lee, S. S. (2015). Misuse of stimulant medication among college students: A comprehensive review and meta-analysis. Clinical Child and Family Psychology Review, 18(1), 50–76. https://doi.org/10.1007/s10567-014-0177-z
   PubMed Web of Science ®Google Scholar
• Berkowitz, A. D. (2004). The social norms approach: Theory, research, and annotated bibliography. Retrieved from https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.192.5256&rep=rep1&type=pdf
   Google Scholar
• Bowleg, L. (2008). When Black + lesbian + woman ≠ Black lesbian woman: The methodological challenges of qualitative and quantitative intersectionality research. Sex Roles, 59(5–6), 312–325. https://doi.org/10.1007/s11199-008-9400-z
   Web of Science ®Google Scholar
• Bowleg, L. (2012). The problem with the phrase women and minorities: Intersectionality—An important theoretical framework for public health. American Journal of Public Health, 102(7), 1267–1273. https://doi.org/10.2105/AJPH.2012.300750
   PubMed Web of Science ®Google Scholar
• Chinopfukutwa, V. S., & Hektner, J. M. (2020). Peer crowd affiliations as predictors of prosocial and risky behaviors among college students. Journal of American College Health, 1–10.
   Web of Science ®Google Scholar
• Cimpian, J. (2018). How our education system undermines gender equity. Brown Center Chalkboard. https://www.brookings.edu/blog/brown-center-chalkboard/2018/04/23/how-our-education-system-undermines-gender-equity/
   Google Scholar
• Cochran, S. D., & Mays, V. M. (2009). Burden of psychiatric morbidity among lesbian, gay, and bisexual individuals in the California quality of life survey. Journal of Abnormal Psychology, 118(3), 647–658.
   PubMed Web of Science ®Google Scholar
• Cole, E. R. (2009). Intersectionality and research in psychology. The American Psychologist, 64(3), 170–180. https://doi.org/10.1037/a0014564
   PubMed Web of Science ®Google Scholar
• Collins, P. H. (2015). Intersectionality’s definitional dilemmas. Annual Review of Sociology, 41(1), 1–20. https://doi.org/10.1146/annurev-soc-073014-112142
   Web of Science ®Google Scholar
• Cropsey, K. L., Schiavon, S., Hendricks, P. S., Froelich, M., Lentowicz, I., & Fargason, R. (2017). Mixed-amphetamine salts expectancies among college students: Is stimulant induced cognitive enhancement a placebo effect? Drug and Alcohol Dependence, 178, 302–309.
   PubMed Web of Science ®Google Scholar
• Crenshaw, K. (1989). Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. u. Chi. Legal f, 139 [Database.
   Google Scholar
• Crenshaw, K. W. (1991). Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review, 43(6), 1241–1299. https://doi.org/10.2307/1229039
   Google Scholar
• Cruz, S., Sumstine, S., Mendez, J., & Bavarian, N. (2017). Health-compromising practices of undergraduate college students: Examining racial/ethnic and gender differences in characteristics of prescription stimulant misuse. Addictive Behaviors, 68, 59–65. https://doi.org/10.1016/j.addbeh.2017.01.016
   PubMed Web of Science ®Google Scholar
• Darling-Hammond, L. (1998). Unequal opportunity: Race and education. The Brookings Review, 16(2), 28–32. https://doi.org/10.2307/20080779
   Google Scholar
• Dasgupta, N., Beletsky, L., & Ciccarone, D. (2018). Opioid crisis: No easy fix to its social and economic determinants. American Journal of Public Health, 108(2), 182–186. https://doi.org/10.2105/AJPH.2017.304187
   PubMed Web of Science ®Google Scholar
• Davis, L. P., & Museus, S. D. (2019). What is deficit thinking? An analysis of conceptualizations of deficit thinking and implications for scholarly research. NCID Currents, 1(1) https://doi.org/10.3998/currents.17387731.0001.110
   Google Scholar
• Delgado Bernal, D. (2002). Critical race theory, Latino critical theory, and critical raced-gendered epistemologies: Recognizing students of color as holders and creators of knowledge. Qualitative Inquiry, 8(1), 105–126. https://doi.org/10.1177/107780040200800107
   Google Scholar
• Ford, J. A., Reckdenwald, A., & Marquardt, B. (2014). Prescription drug misuse and gender. Substance Use & Misuse, 49(7), 842–851. https://doi.org/10.3109/10826084.2014.880723
   PubMed Web of Science ®Google Scholar
• Fletcher, D., & Sarkar, M. (2013). Psychological resilience: A review and critique of definitions, concepts, and theory. European Psychologist, 18(1), 12–23. https://doi.org/10.1027/1016-9040/a000124
   Web of Science ®Google Scholar
• Ganley, C. M., George, C. E., Cimpian, J. R., & Makowski, M. B. (2018). Gender equity in college majors: Looking beyond the STEM/Non-STEM dichotomy for answers regarding female participation. American Educational Research Journal, 55(3), 453–487. https://doi.org/10.3102/0002831217740221
   Web of Science ®Google Scholar
• Han, B., Jones, C. M., Blanco, C., & Compton, W. M. (2017). National trends in and correlates of nonmedical use of prescription stimulants, nonmedical use frequency, and use disorders. The Journal of Clinical Psychiatry, 78(9), e1250–1258. https://doi.org/10.4088/JCP.17m11760
   PubMed Web of Science ®Google Scholar
• Hegarty, P., & Pratto, F. (2001). The effects of social category norms and stereotypes on explanations for intergroup differences. Journal of Personality and Social Psychology, 80(5), 723–735.
   PubMed Web of Science ®Google Scholar
• Helling, J., & Chandler, G. E. (2021). Meeting the psychological health & growth needs of Black college students: Culture, resonance and resilience. Journal of College Student Psychotherapy, 35(2), 152–180. https://doi.org/10.1080/87568225.2019.1660291
   Google Scholar
• Herrman, H., Stewart, D. E., Diaz-Granados, N., Berger, E. L., Jackson, B., & Yuen, T. (2011). What is resilience? The Canadian Journal of Psychiatry, 56(5), 258–265. https://doi.org/10.1177/070674371105600504
   PubMed Web of Science ®Google Scholar
• Howell, J. (2019). The truly advantaged: Examining the effects of privileged places on educational attainment. The Sociological Quarterly, 60(3), 420–438. https://doi.org/10.1080/00380253.2019.1580546
   Web of Science ®Google Scholar
• Jebraeili, H., Habibi, M., Nazemi, A, & Department of Psychology, School of Social and Educational Sciences, Razi University, Kermanshah, Iran. (2019). Mediating role of resilience and tendency to addiction regarding the effect of gender on substance use. Journal of Research and Health, 9(3), 236–245. https://doi.org/10.29252/jrh.9.3.236
   Google Scholar
• Keels, M. (2013). Getting them enrolled is only half the battle: College success as a function of race or ethnicity, gender, and class. The American Journal of Orthopsychiatry, 83(2 Pt 3), 310–322. https://doi.org/10.1111/ajop.12033
   PubMed Web of Science ®Google Scholar
• Kerley, K. R., Copes, H., & Griffin, O. H. III, (2015). Middle-class motives for non-medical prescription stimulant use among college students. Deviant Behavior, 36(7), 589–603. https://doi.org/10.1080/01639625.2014.951573
   Web of Science ®Google Scholar
• King, M. D., Jennings, J., & Fletcher, J. M. (2014). Medical adaptation to academic pressure: Schooling, stimulant use, and socioeconomic status. American Sociological Review, 79(6), 1039–1066. https://doi.org/10.1177/0003122414553657
   Web of Science ®Google Scholar
• Ladson-Billings, G. (2008). A letter to our next president. Journal of Teacher Education, 59(3), 235–239. https://doi.org/10.1177/0022487108317466
   Web of Science ®Google Scholar
• Lakhan, S. E., & Kirchgessner, A. (2012). Prescription stimulants in individuals with and without attention deficit hyperactivity disorder: Misuse, cognitive impact, and adverse effects. Brain and Behavior, 2(5), 661–677. https://doi.org/10.1002/brb3.78
   PubMed Web of Science ®Google Scholar
• Leraas, B. C., Kippen, N. R., & Larson, S. J. (2018). Gender and student participation. Journal of the Scholarship of Teaching and Learning, 18(4), 51–70. https://doi.org/10.14434/josotl.v18i4.22849
   Google Scholar
• Looby, A., De Young, K. P., & Earleywine, M. (2013). Challenging expectancies to prevent nonmedical prescription stimulant use: A randomized, controlled trial. Drug and Alcohol Dependence, 132(1–2), 362–368.
   PubMed Web of Science ®Google Scholar
• Looby, A., Prince, M. A., Villarosa-Hurlocker, M. C., Conner, B. T., Schepis, T. S., Bravo, A. J, & Stimulant Norms and Prevalence (SNAP) Study Team. (2021). Young adult use, dual use, and simultaneous use of alcohol and marijuana: An examination of differences across use status on marijuana use context, rates, and consequences. Psychology of Addictive Behaviors. Advance Online Publication, 35(6), 682–690. https://doi.org/10.1037/adb0000742
   PubMed Web of Science ®Google Scholar
• McCabe, C. (2021). modglm: Computing interaction effects for nonlinear probability and counts. R package version 0.0.0.9000.
   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 (Abingdon, England), 100(1), 96–106. https://doi.org/10.1111/j.1360-0443.2005.00944.x
   PubMed Web of Science ®Google Scholar
• McCabe, S. E., Hughes, T. L., Bostwick, W. B., West, B. T., & Boyd, C. J. (2009). Sexual orientation, substance use behaviors and substance dependence in the United States. Addiction (Abingdon, England), 104(8), 1333–1345. https://doi.org/10.1111/j.1360-0443.2009.02596.x
   PubMed Web of Science ®Google Scholar
• McCabe, C. J., Halvorson, M. A., King, K. M., Cao, X., & Kim, D. S. (2020). Interpreting interaction effects in generalized linear models of nonlinear probabilities and counts. Multivariate Behavioral Research, 1–27.
   Web of Science ®Google Scholar
• Mereish, E. H., & Bradford, J. B. (2014). Intersecting identities and substance use problems: Sexual orientation, gender, race, and lifetime substance use problems. Journal of Studies on Alcohol and Drugs, 75(1), 179–188.
   PubMed Web of Science ®Google Scholar
• Misra, R. K., & Phil, D. (1980). Achievement, anxiety, and addiction. In Lettieri (Eds.), Theories on drug abuse: Selected contemporary perspectives (pp. 212–214). National Insitutes on Drug Abuse.
   Google Scholar
• Mize, T. D. (2019). Best practices for estimating, interpreting, and presenting nonlinear interaction effects. Sociological Science, 6, 81–117. https://doi.org/10.15195/v6.a4
   Web of Science ®Google Scholar
• Morales, E. E. (2010). Linking strengths: Identifying and exploring protective factor clusters in academically resilient low-socioeconomic urban students of color. Roeper Review, 32(3), 164–175. https://doi.org/10.1080/02783193.2010.485302
   Google Scholar
• Museus, S. D. (2008). The role of ethnic student organizations in fostering African American and Asian American students’ cultural adjustment and membership at predominantly White institutions. Journal of College Student Development, 49(6), 568–586. https://doi.org/10.1353/csd.0.0039
   Web of Science ®Google Scholar
• Nakawaki B. & Crano W. D. (2012). https://pubmed.ncbi.nlm.nih.gov/22381640/
   Google Scholar
• Nicolazzo, Z. (2016). “Just go in looking good”: The resilience, resistance, and kinship-building of trans college students. Journal of College Student Development, 57(5), 538–556. https://doi.org/10.1353/csd.2016.0057
   Web of Science ®Google Scholar
• Norton, E. C., Wang, H., & Ai, C. (2004). Computing interaction effects and standard errors in logit and probit models. The Stata Journal: Promoting Communications on Statistics and Stata, 4(2), 154–167. https://doi.org/10.1177/1536867X0400400206
   Google Scholar
• Peteet, B. J. (2019). Psychosocial risks of prescription drug misuse among US racial/ethnic minorities: A systematic review. Journal of Ethnicity in Substance Abuse, 18(3), 476–508. https://doi.org/10.1080/15332640.2017.1381662
   PubMed Web of Science ®Google Scholar
• Philbin, M. M., Greene, E. R., Martins, S. S., LaBossier, N. J., & Mauro, P. M. (2020). Medical, nonmedical, and illegal stimulant use by sexual identity and gender. American Journal of Preventive Medicine, 59(5), 686–696.
   PubMed Web of Science ®Google Scholar
• Pilkinton, M., & Cannatella, A. (2012). Nonmedical use of prescription stimulants: Age, race, gender, and educational attainment patterns. Journal of Human Behavior in the Social Environment, 22(4), 409–420. https://doi.org/10.1080/10911359.2012.664968
   Google Scholar
• R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/, https://www.naspa.org/images/uploads/events/CPAMM_Toolkit_2018.pdf
   Google Scholar
• Rabiner, D. L., Anastopoulos, A. D., Costello, E., Hoyle, R. H., & Swartzwelder, H. (2010). Predictors of nonmedical ADHD medication use by college students. Journal of Attention Disorders, 13(6), 640–648. https://doi.org/10.1177/1087054709334505
   PubMed Web of Science ®Google Scholar
• Rusch, H. L., Shvil, E., Szanton, S. L., Neria, Y., & Gill, J. M. (2015). Determinants of psychological resistance and recovery among women exposed to assaultive trauma. Brain and Behavior, 5(4), e00322. https://doi.org/10.1002/brb3.322
   PubMed Web of Science ®Google Scholar
• Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194–200.
   PubMed Web of Science ®Google Scholar
• Stewart, T. D., & Reed, M. B. (2015). Lifetime nonmedical use of prescription medications and socioeconomic status among young adults in the United States. The American Journal of Drug and Alcohol Abuse, 41(5), 458–464.
   PubMed Web of Science ®Google Scholar
• Stone, A. M., & Merlo, L. J. (2011). Attitudes of college students toward mental illness stigma and the misuse of psychiatric medications. The Journal of Clinical Psychiatry, 72(02), 134–139. https://doi.org/10.4088/JCP.09m05254ecr
   PubMedGoogle Scholar
• Storholm, E. D., Huang, W., Siconolfi, D. E., Pollack, L. M., Carrico, A. W., Vincent, W., Rebchook, G. M., Huebner, D. M., Wagner, G. J., & Kegeles, S. M. (2019). Sources of resilience as mediators of the effect of minority stress on stimulant use and sexual risk behavior among young Black men who have sex with men. AIDS and Behavior, 23(12), 3384–3395. https://doi.org/10.1007/s10461-019-02572-y
   PubMed Web of Science ®Google Scholar
• Teter, C. J., McCabe, S. E., Cranford, J. A., Boyd, C. J., & Guthrie, S. K. (2005). Prevalence and motives for illicit use of prescription stimulants in an undergraduate student sample. Journal of American College Health, 53(6), 253–262. https://doi.org/10.3200/JACH.53.6.253-262
   PubMed Web of Science ®Google Scholar
• Teter, C. J., McCabe, S. E., LaGrange, K., Cranford, J. A., & Boyd, C. J. (2006). Illicit use of specific prescription stimulants among college students: Prevalence, motives, and routes of administration. Pharmacotherapy, 26(10), 1501–1510. https://doi.org/10.1592/phco.26.10.1501
   PubMed Web of Science ®Google Scholar
• Thiel, A. M., Kilwein, T. M., De Young, K. P., & Looby, A. (2019). Differentiating motives for nonmedical prescription stimulant use by personality characteristics. Addictive Behaviors, 88, 187–193.
   PubMed Web of Science ®Google Scholar
• van der Zanden, P. J., Denessen, E., Cillessen, A. H., & Meijer, P. C. (2018). Domains and predictors of first-year student success: A systematic review. Educational Research Review, 23, 57–77. https://doi.org/10.1016/j.edurev.2018.01.001
   Web of Science ®Google Scholar
• Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with S (4th ed.). Springer.
   Google Scholar
• Voyer, D., & Voyer, S. D. (2014). Gender differences in scholastic achievement: A meta-analysis. Psychological Bulletin, 140(4), 1174–1204.
   PubMed Web of Science ®Google Scholar
• Weyandt, L. L., Janusis, G., Wilson, K. G., Verdi, G., Paquin, G., Lopes, J., Varejao, M., & Dussault, C. (2009). Nonmedical prescription stimulant use among a sample of college students: Relationship with psychological variables. Journal of Attention Disorders, 13(3), 284–296.
   PubMed Web of Science ®Google Scholar
• Weyandt, L. L., Oster, D. R., Marraccini, M. E., Gudmundsdottir, B. G., Munro, B. A., Rathkey, E. S., & McCallum, A. (2016). Prescription stimulant medication misuse: Where are we and where do we go from here? Experimental and Clinical Psychopharmacology, 24(5), 400–414.
   PubMed Web of Science ®Google Scholar
• Wickham H., Navarro, D., & Pedersen, T. L. (2016). ggplot2: Elegant graphics for data analysis. Springer-Verlag.
   Google Scholar