114
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Associations Between Alcohol and Cannabis Use and Pain Among College Student-Athletes

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon

References

  • Abdi, H. (2010). Holm’s sequential Bonferroni procedure. Encyclopedia of Research Design, 1(8), 1–8.
  • Adamson, S. J., Kay-Lambkin, F. J., Baker, A. L., Lewin, T. J., Thornton, L., Kelly, B. J., & Sellman, J. D. (2010). An improved brief measure of cannabis misuse: The cannabis use disorders identification test-revised (CUDIT-R). Drug and Alcohol Dependence, 110(1-2), 137–143. https://doi.org/10.1016/j.drugalcdep.2010.02.017
  • Allen, J. P., & Wilson, V. B. (2003). Assessing alcohol problems: A guide for clinicians and researchers. US Department of Health and Human Services, Public Health Service
  • Barry, A. E., Chaney, B. H., Stellefson, M. L., & Dodd, V. (2015). Evaluating the psychometric properties of the AUDIT-C among college students. Journal of Substance Use, 20(1), 1–5. https://doi.org/10.3109/14659891.2013.856479
  • Brenner, J., & Swanik, K. (2007). High-risk drinking characteristics in collegiate athletes. Journal of American College Health, 56(3), 267–272. https://doi.org/10.3200/JACH.56.3.267-272
  • Bush, K., Kivlahan, D. R., McDonell, M. B., Fihn, S. D., & Bradley, K. A; for the Ambulatory Care Quality Improvement Project (ACQUIP). (1998). The AUDIT alcohol consumption questions (AUDIT-C): An effective brief screening test for problem drinking. Archives of Internal Medicine, 158(16), 1789–1795. https://doi.org/10.1001/archinte.158.16.1789
  • Cadigan, J. M., Littlefield, A. K., Martens, M. P., & Sher, K. J. (2013). Transitions into and out of intercollegiate athletic involvement and risky drinking. Journal of Studies on Alcohol and Drugs, 74(1), 21–29. https://doi.org/10.15288/jsad.2013.74.21
  • Cimini, M. D., Monserrat, J. M., Sokolowski, K. L., Dewitt-Parker, J. Y., Rivero, E. M., & McElroy, L. A. (2015). Reducing high-risk drinking among student-athletes: The effects of a targeted athlete-specific brief intervention. Journal of American College Health, 63(6), 343–352. https://doi.org/10.1080/07448481.2015.1031236
  • Cloutier, R. M., Natesan Batley, P., Kearns, N. T., & Knapp, A. A. (2022). A psychometric evaluation of the Marijuana Problems Index among college students: Confirmatory factor analysis and measurement invariance by gender. Experimental and Clinical Psychopharmacology, 30(6), 907–917. https://doi.org/10.1037/pha0000531
  • Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29. https://doi.org/10.1037/1082-989X.1.1.16
  • Dams-O’Connor, K., Martin, J. L., & Martens, M. P. (2007). Social norms and alcohol consumption among intercollegiate athletes: The role of athlete and nonathlete reference groups. Addictive Behaviors, 32(11), 2657–2666. https://doi.org/10.1016/j.addbeh.2007.04.030
  • Ditre, J. W., Brandon, T. H., Zale, E. L., & Meagher, M. M. (2011). Pain, nicotine, and smoking: Research findings and mechanistic considerations. Psychological Bulletin, 137(6), 1065–1093. https://doi.org/10.1037/a0025544
  • Ditre, J. W., LaRowe, L. R., Vanable, P. A., De Vita, M. J., & Zvolensky, M. J. (2019a). Computer-based personalized feedback intervention for cigarette smoking and prescription analgesic misuse among persons living with HIV (PLWH). Behaviour Research and Therapy, 115, 83–89. https://doi.org/10.1016/j.brat.2018.10.013
  • Ditre, J. W., Zale, E. L., & LaRowe, L. R. (2019b). A reciprocal model of pain and substance use: Transdiagnostic considerations, clinical implications, and future directions. Annual Review of Clinical Psychology, 15(1), 503–528. https://doi.org/10.1146/annurev-clinpsy-050718-095440
  • Doumas, D. M., & Midgett, A. (2015). Ethnic differences in drinking motives and alcohol use among college athletes. Journal of College Counseling, 18(2), 116–129. https://doi.org/10.1002/jocc.12009
  • Doumas, D. M., Turrisi, R., Coll, K. M., & Haralson, K. (2007). High-risk drinking in college athletes and nonathletes across the academic year. Journal of College Counseling, 10(2), 163–174. https://doi.org/10.1002/j.2161-1882.2007.tb00016.x
  • Fales, J. L., Ladd, B. O., & Magnan, R. E. (2019). Pain relief as a motivation for cannabis use among young adult users with and without chronic pain. The Journal of Pain, 20(8), 908–916. https://doi.org/10.1016/j.jpain.2019.02.001
  • Fearnow-Kenney, M., Wyrick, D. L., Milroy, J. J., Reifsteck, E. J., Day, T., & Kelly, S. E. (2016). The effects of a web-based alcohol prevention program on social norms, expectancies, and intentions to prevent harm among college student-athletes. The Sport Psychologist, 30(2), 113–122. https://doi.org/10.1123/tsp.2015-0016
  • Ferguson, E., Zale, E. L., Ditre, J. W., Wesolowicz, D., Stennett, B., Robinson, M., & Boissoneault, J. (2020). CANUE: A theoretical model of pain as an antecedent for substance use. Annals of Behavioral Medicine, 55(5), 489–502. https://doi.org/10.1093/abm/kaaa072
  • Field, A. P. (2005). Discovering statistics using SPSS: And sex, drugs and rock ‘n’ roll. SAGE. https://books.google.com/books?id=IY61Ddqnm6IC
  • Gagnon-Dolbec, A., Fortier, M., & Cormier, S. (2021). Pain intensity and pain unpleasantness in triathletes: A study examining their associations with pain catastrophizing and pain expectations. Psychology of Sport and Exercise, 55, 101928. https://doi.org/10.1016/j.psychsport.2021.101928
  • Grapentine, T. (2000). Path analysis vs. structural equation modeling. Marketing Research, 12(3), 13–20.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspecive (7th ed.). Prentice Hall.
  • Hayes, A. F. (2022). Introduction to medation, moderation, and conditional process analysis: A regression-based approach (3rd ed.). The Guilford Press. https://doi.org/10.1111/jedm.12050
  • Johnson, V., & White, H. R. (1989). An investigation of factors related to intoxicated driving behaviors among youth. Journal of Studies on Alcohol, 50(4), 320–330. https://doi.org/10.15288/jsa.1989.50.320
  • Kerr, Z. Y., Marshall, S. W., Dompier, T. P., Corlette, J., Klossner, D. A., & Gilchrist, J. (2015). College sports–related injuries—United States, 2009–10 through 2013–14 academic years. MMWR. Morbidity and Mortality Weekly Report, 64(48), 1330–1336. https://doi.org/10.2307/24856924
  • Knettel, B. A., Cherenack, E. M., & Bianchi-Rossi, C. (2021). Stress, anxiety, binge drinking, and substance use among college student-athletes: A cross-sectional analysis. Journal of Intercollegiate Sport, 14(2), 116-135. https://doi.org/10.17161/jis.v14i2.14829
  • Kosiba, J. D., Mitzel, L. D., Zale, E. L., Zvolensky, M. J., & Ditre, J. W. (2019). A preliminary study of associations between discomfort intolerance, pain severity/interference, and frequency of cannabis use among individuals with chronic pain. Addiction Research & Theory, 28(1), 76–81. https://doi.org/10.1080/16066359.2019.1590557
  • Krebs, E. E., Carey, T. S., & Weinberger, M. (2007). Accuracy of the pain numeric rating scale as a screening test in primary care. Journal of General Internal Medicine, 22(10), 1453–1458. https://doi.org/10.1007/s11606-007-0321-2
  • LaBrie, J. W., Grossbard, J. R., & Hummer, J. F. (2009). Normative misperceptions and marijuana use among male and female college athletes. Journal of Applied Sport Psychology, 21(sup1), S77–S85. https://doi.org/10.1080/10413200802582839
  • LaRowe, L. R., Powers, J. M., Garey, L., Rogers, A. H., Zvolensky, M. J., & Ditre, J. W. (2020). Pain-related anxiety, sex, and co-use of alcohol and prescription opioids among adults with chronic low back pain. Drug and Alcohol Dependence, 214, 108171. https://doi.org/10.1016/j.drugalcdep.2020.108171
  • Lawton, J., & Simpson, J. (2009). Predictors of alcohol use among people experiencing chronic pain. Psychology, Health & Medicine, 14(4), 487–501. https://doi.org/10.1080/13548500902923177
  • Lee, C. M., Neighbors, C., & Woods, B. A. (2007). Marijuana motives: Young adults’ reasons for using marijuana. Addictive Behaviors, 32(7), 1384–1394. https://doi.org/10.1016/j.addbeh.2006.09.010
  • Leichliter, J., Meilman, P., Presley, C., & Cashin, J. (1998). Alcohol use and related consequences among students with varying levels of involvement in college athletics. Journal of American College Health, 46(6), 257–262. https://doi.org/10.1080/07448489809596001
  • Mallinckrodt, B., Abraham, W. T., Wei, M., & Russell, D. W. (2006). Advances in testing the statistical significance of mediation effects. Journal of Counseling Psychology, 53(3), 372–378. https://doi.org/10.1037/0022-0167.53.3.372
  • Margot, P. (2016). The psychological response to injury in student athletes: A narrative review with a focus on mental health. British Journal of Sports Medicine, 50(3), 145. https://doi.org/10.1136/bjsports-2015-095586
  • Martens, M. P. (2013). Athletes and substance use. In P. M. Miller (Ed.), Principles of addiction (pp. 575–583). Academic Press. https://doi.org/10.1016/B978-0-12-398336-7.00059-0
  • Martens, M. P., & Martin, J. L. (2010). College athletes’ drinking motives and competitive seasonal status: Additional examination of the athlete drinking scale. Addiction Research & Theory, 18(1), 23–32. https://doi.org/10.3109/16066350902867882
  • Martens, M. P., Pedersen, E. R., Smith, A. E., Stewart, S. H., & O’Brien, K. (2011). Predictors of alcohol-related outcomes in college athletes: The roles of trait urgency and drinking motives. Addictive Behaviors, 36(5), 456–464. https://doi.org/10.1016/j.addbeh.2010.12.025
  • Martínková, I., Knox, T., Anderson, L., & Parry, J. (2022). Sex and gender in sport categorization: Aiming for terminological clarity. Journal of the Philosophy of Sport, 49(1), 134–150. https://doi.org/10.1080/00948705.2022.2043755
  • Marzell, M., Morrison, C., Mair, C., Moynihan, S., & Gruenewald, P. J. (2015). Examining drinking patterns and high-risk drinking environments among college athletes at different competition levels. Journal of Drug Education, 45(1), 5–16. https://doi.org/10.1177/0047237915575281
  • Mastroleo, N. R., Barnett, N. P., & Bowers, K. M. (2019). Association between sex, race/ethnicity, season, day of week, and alcohol use and related risks in college student athletes and nonathletes. Journal of American College Health, 67(5), 422–432. https://doi.org/10.1080/07448481.2018.1484367
  • Moehring, A., Krause, K., Guertler, D., Bischof, G., Hapke, U., Freyer-Adam, J., Baumann, S., Batra, A., Rumpf, H.-J., Ulbricht, S., John, U., & Meyer, C. (2018). Measurement invariance of the alcohol use disorders identification test: Establishing its factor structure in different settings and across gender. Drug and Alcohol Dependence, 189, 55–61. https://doi.org/10.1016/j.drugalcdep.2018.05.002
  • Mowbray, F. I., Fox-Wasylyshyn, S. M., & El-Masri, M. M. (2019). Univariate outliers: A conceptual overview for the nurse researcher. Canadian Journal of Nursing Research, 51(1), 31–37. https://doi.org/10.1177/0844562118786647
  • NCAA. (2018). NCAA national study on susbtance use habits of college student-athletes. http://www.ncaa.org/sites/default/files/2017RES_Substance_Use_Executive_Summary_FINAL_20180611.pdf
  • Nieto, S. J., Green, R., Grodin, E. N., Cahill, C. M., & Ray, L. A. (2021). Pain catastrophizing predicts alcohol craving in heavy drinkers independent of pain intensity. Drug and Alcohol Dependence, 218, 108368. https://doi.org/10.1016/j.drugalcdep.2020.108368
  • Phillips, K. T., Lalonde, T. L., Phillips, M. M., & Schneider, M. M. (2017). Marijuana use and associated motives in Colorado university students. The American Journal on Addictions, 26(8), 830–837. https://doi.org/10.1111/ajad.12640
  • Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717–731. https://doi.org/10.3758/BF03206553
  • Risi, M., Sokolovsky, A., White, H., & Jackson, K. (2020). Factor structure of the cannabis use disorders identification test revised (CUDIT-R) for men and women. Cannabis, 3(2), 148–156. https://doi.org/10.26828/cannabis.2020.02.002
  • Ryu, E. (2011). Effects of skewness and kurtosis on normal-theory based maximum likelihood test statistic in multilevel structural equation modeling. Behavior Research Methods, 43(4), 1066–1074. https://doi.org/10.3758/s13428-011-0115-7
  • Sanders, G., & Stevinson, C. (2017). Associations between retirement reasons, chronic pain, athletic identity, and depressive symptoms among former professional footballers. European Journal of Sport Science, 17(10), 1311–1318. https://doi.org/10.1080/17461391.2017.1371795
  • Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7(2), 147–177. https://doi.org/10.1037/1082-989X.7.2.147
  • Schütze, R., Rees, C., Smith, A., Slater, H., Campbell, J. M., & O’Sullivan, P. (2018). How can we best reduce pain catastrophizing in adults with chronic noncancer pain? A systematic review and meta-analysis. The Journal of Pain, 19(3), 233–256. https://doi.org/10.1016/j.jpain.2017.09.010
  • Sciascia, A., Waldecker, J., & Jacobs, C. (2020). Pain catastrophizing in college athletes. Journal of Sport Rehabilitation, 29(2), 168–173. https://doi.org/10.1123/jsr.2018-0137
  • Shuer, M. L., & Dietrich, M. S. (1997). Psychological effects of chronic injury in elite athletes. Western Journal of Medicine, 166(2), 104.
  • Simon, J. E., & Docherty, C. L. (2014). Current health-related quality of life is lower in former division I collegiate athletes than in non–collegiate athletes. The American Journal of Sports Medicine, 42(2), 423–429. https://doi.org/10.1177/0363546513510393
  • Steinfeldt, J. A., Steinfeldt, M. C., England, B., & Speight, Q. L. (2009). Gender role conflict and stigma toward help-seeking among college football players. Psychology of Men & Masculinity, 10(4), 261–272. https://doi.org/10.1037/a0017223
  • Sturgeon, J. A., Khan, J., Hah, J. M., Hilmoe, H., Hong, J., Ware, M. A., & Mackey, S. C. (2020). Clinical profiles of concurrent cannabis use in chronic pain: A CHOIR study. Pain Medicine, 21(11), 3172–3179. https://doi.org/10.1093/pm/pnaa060
  • Sullivan, M. J., Bishop, S. R., & Pivik, J. (1995). The pain catastrophizing scale: Development and validation. Psychological Assessment, 7(4), 524–532. https://doi.org/10.1037/1040-3590.7.4.524
  • Sullivan, M. J. L., Thorn, B., Haythornthwaite, J. A., Keefe, F., Martin, M., Bradley, L. A., & Lefebvre, J. C. (2001). Theoretical perspectives on the relation between catastrophizing and pain. The Clinical Journal of Pain, 17(1), 52–64. https://doi.org/10.1097/00002508-200103000-00008
  • Sullivan, M. J. L., Tripp, D. A., Rodgers, W. M., & Stanish, W. (2000). Catastrophizing and pain perception in sport participants. Journal of Applied Sport Psychology, 12(2), 151–167. https://doi.org/10.1080/10413200008404220
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Education, Inc.
  • Tesarz, J., Schuster, A. K., Hartmann, M., Gerhardt, A., & Eich, W. (2012). Pain perception in athletes compared to normally active controls: A systematic review with meta-analysis. Pain, 153(6), 1253–1262. https://doi.org/10.1016/j.pain.2012.03.005
  • Von Korff, M. (2011). Assessment of chronic pain in epidemiological and health services research: Empirical bases and new directions. In Handbook of pain assessment (pp. 455–473, 3rd ed.). The Guilford Press.
  • Wallace, J., Covassin, T., & Beidler, E. (2017). Sex differences in high school athletes’ knowledge of sport-related concussion symptoms and reporting behaviors. Journal of Athletic Training, 52(7), 682–688. https://doi.org/10.4085/1062-6050-52.3.06
  • Walton, D. M., Wideman, T. H., & Sullivan, M. J. (2013). A Rasch analysis of the pain catastrophizing scale supports its use as an interval-level measure. The Clinical Journal of Pain, 29(6), 499–506. https://doi.org/10.1097/AJP.0b013e318269569c
  • White, H. R., & Labouvie, E. W. (1989). Towards the assessment of adolescent problem drinking. Journal of Studies on Alcohol, 50(1), 30–37. https://doi.org/10.15288/jsa.1989.50.30
  • Williams, C. M., Reynolds, L. M., & Mastroleo, N. R. (2020). Comparison of pregaming alcohol use and consequences by season status and sex in college student athletes. Journal of Drug Education, 49(3-4), 71–86. https://doi.org/10.1177/0047237920976658
  • Williams, C. M., Shaw, M. T., Mastroleo, N. R., & Zale, E. L. (2022). Sport-related and psychosocial factors associated with motives and consequences of alcohol and cannabis use among NCAA athletes: A systematic review. Alcohol and Alcoholism, 57(1), 74–84. https://doi.org/10.1093/alcalc/agab022
  • Zale, E. L., LaRowe, L. R., Boissoneault, J., Maisto, S. A., & Ditre, J. W. (2019). Gender differences in associations between pain-related anxiety and alcohol use among adults with chronic pain. The American Journal of Drug and Alcohol Abuse, 45(5), 479–487. https://doi.org/10.1080/00952990.2019.1578968
  • Zale, E. L., Maisto, S. A., De Vita, M. J., Hooten, M. W., & Ditre, J. W. (2021). Increasing cessation motivation and treatment engagement among smokers in pain: A pilot randomized controlled trial. Experimental and Clinical Psychopharmacology, 29(6), 593–604. https://doi.org/10.1037/pha0000424
  • Zale, E. L., Maisto, S. A., & Ditre, J. W. (2015). Interrelations between pain and alcohol: An integrative review. Clinical Psychology Review, 37, 57–71. https://doi.org/10.1016/j.cpr.2015.02.005
  • Zale, E. L., Powers, J., & Ditre, J. W. (2021a). Cognitive-affective transdiagnostic factors associated with vulnerability to alcohol and prescription opioid use in the context of pain. Alcohol Research, 41(1), Article 8. https://doi.org/10.35946/arcr.v41.1.08
  • Zale, E. L., Williams, C. M., Reynolds, L. M., & Mastroleo, N. R. (2021b). Examining sex differences in associations between pain and alcohol use among college student-athletes. Substance Use & Misuse, 57(4), 539–547. https://doi.org/10.1080/10826084.2021.2019784
  • Zamboanga, B. L., & Olthuis, J. V. (2016). What is pregaming and how prevalent is it among US college students? An Introduction to the Special Issue on Pregaming, 51(8), 953-960 https://doi.org/10.1080/10826084.2016.1187524

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.