Examination of the Impact of Substance Use on Sport Training and Competition in Collegiate Athletes
DOI:
https://doi.org/10.33043/5d78432xKeywords:
athlete, sport, mental health, substance use, assessmentAbstract
Objectives: There is a need to psychometrically develop self-report measures of substance use in athletes, particularly those that assess the impact substance use has on sport performance. Method: In this study, a four-item measure assessing the extent to which alcohol and illicit drug use interfere with sport performance in training and competition, validated measures of psychiatric symptomology and substance use frequency, and a structured clinical interview assessing substance use diagnostic criteria were administered (N=285 athletes). Results: One-week test-retest reliability of the four-item measure was good, and positive relationships between this set of items and validated measures of psychiatric symptomology, substance use frequency, and age were found. Males demonstrated higher scores on the four-item measure, and its scores were not influenced by ethnicity and athlete type (NCAA, club, intramural). In a sub-sample of 74 participants who reported substance use and interest in pursuing psychological intervention, there was a non-significant trend for participants who were diagnosed with a substance use disorder to demonstrate higher scores on the four-item measure of substance use interference with sport performance than participants who were not diagnosed with a current substance use disorder (p = .08). Conclusion: Results suggest the developed four-item measure may be helpful in determining the extent to which substance use impacts sport training and competition in collegiate athletes.
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References
American Psychiatric Association (2002). Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). American Psychiatric Association. https://doi.org/10.1176/appi.books.9780890423349
Barry, A.E., Howell, S.M., Riplinger, A., & Piazza-Gardner, A.K. (2015). Alcohol use among college athletes: do intercollegiate, club, or intramural student athletes drink differently? Substance Use & Misuse. 50(3), 302–307. https://doi.org/10.3109/10826084.2014.977398
Buckman J.F., Yusko D.A., Farris S.G., White, H.R., & Pandina, R.J. (2011). Risk of marijuana use in male and female college student athletes and nonathletes. Journal of Studies on Alcohol and Drugs, 72(4), 586–591. https://doi.org/10.15288/jsad.2011.72.586
Cortina, J.M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology. 78(1), 98-104. https://doi.org/10.1037/0021-9010.78.1.98
Derogatis, L.R. (1994). Symptom checklist-90-R: Administration, scoring, and procedures manual (3rd ed.). National Computer Systems.
Derogatis, L.R., Rickels, K., & Rock, A.F. (1976). The SCL-90 and the MMPI: A Step in the Validation of a New Self-Report Scale. British Journal of Psychiatry, 128(3), 280-289. https://doi.org/10.1192/bjp.128.3.280
Donohue, B., Azrin, N.H., Strada, M.J., Silver, N.C., Teichner, G., & Murphy, H. (2004). Psychometric evaluation of self- and collateral Timeline Follow-Back reports of drug and alcohol use in a sample of drug-abusing and conduct-disordered adolescents and their parents. Psychology of Addictive Behaviors, 18(2), 184-189. https://doi.org/10.1037/0893-164x.18.2.184
Donohue, B., Chow, G.M., Pitts, M., Loughran, T., Schubert, K.N., Gavrilova, Y., & Allen, D.N. (2015). Piloting a family-supported approach to concurrently optimize mental health and sport performance in athletes. Clinical Case Studies, 14(3), 159-177. https://doi.org/10.1177/1534650114548311
Donohue, B., Covassin, T., Lancer, K., Dickens, Y., Miller, A., Hash, A., & Genet, J. (2004) Examination of psychiatric symptoms in student athletes. Journal of General Psychology, 131(1), 29-35. https://doi.org/10.3200/genp.131.1.29-35
Donohue, B., Gavrilova, E., Danlag, A., Perry, J., Kuhn, C., Allen, D.N., & Benning, S.D. (2021). A comprehensive examination of factors impacting collegiate athletes’ utilization of psychological assessment and intervention services. Psychology in the Schools, 58(3), 458-474. https://doi.org/10.1002/pits.22458
Donohue, B., Gavrilova, Y., Galante, M., Burnstein, B., Aubertin, P., Gavrilova, E., Funk, A., Light, A., & Benning, S.D. (2020). Empirical development of a screening method for mental, social, and physical wellness in amateur and professional circus artists. Psychology of Aesthetics, Creativity, and the Arts, 14(3), 313-324. https://doi.org/10.1037/aca0000199
Donohue, B., Gavrilova, Y., Galante, M., Gavrilova, E., Loughran, T., Scott, J., Chow, G., Plant, C.P., & Allen, D.N. (2018). Controlled evaluation of an optimization approach to mental health and sport performance. Journal of Clinical Sport Psychology, 12(2), 34-267. https://doi.org/10.1123/jcsp.2017-0054
Donohue, B., Galante, M., Maietta, J., Lee, B., Paul, N., Perry, J. E., Corey, A., & Allen, D.N. (2019). Empirical development of a screening method to assist mental health referrals in collegiate athletes. Journal of Clinical Sport Psychology, 13(5), 61-579. https://doi.org/10.1123/jcsp.2018-0070
Donohue, B., Silver, N.C., Dickens, Y., Covassin, T., & Lancer, K. (2007). Development and initial psychometric evaluation of the Sport Interference Checklist. Behavior Modification, 31(9), 937-957. https://doi.org/10.1177/0145445507303827
Fendrich, M., & Johnson, T.P. (2005). Race/Ethnicity Differences in the Validity of Self-Reported Drug Use: Results from a Household Survey. Journal of Urban Health. 82, iii67-iii81. https://doi.org/10.1093/jurban/jti065
First, M.B., Spitzer, R.L., Gibbon, M., & Williams, J.B. (2002). Structured clinical interview for DSM-IV-TR axis I disorders, research version, non-patient edition (SCID-I/NP). Biometrics Research, New York State Psychiatric Institute.
First, M.B., Williams, J.B.W., Karg, R.S., & Spitzer, R.L. (2016). User’s guide for the SCID-5-CV Structured Clinical Interview for DSM-5 Disorders: Clinician Version. American Psychiatric Association Publishing.
Martens, M.P., Dams-O’Connor, K., & Beck, N.C. (2006). A systematic review of college student-athlete drinking: Prevalence rates, sport-related factors, and interventions. Journal of Substance Abuse and Treatment, 31(3), 305-316. https://doi.org/10.1016/j.jsat.2006.05.004
Martin, C.L., Shanley, E., Harnish, C., Knab, A.M., Christopher, S., Vallabhajosula, S., & Bullock, G.S. (2021). Overuse injury, substance use, and resilience in collegiate female athletes. International Journal of Sports Physical Therapy, 16(1), 104-114. https://doi.org/10.26603/001c.25760
Martinez, S., Stillerman, L., & Waldo, M. (2005). Reliability and validity of the SCL-90-R with Hispanic college students. Hispanic Journal of Behavioral Sciences, 27(2), 254-264. https://doi.org/10.1177/0739986305274911
NCAA (2013). NCAA Student-Athlete Substance Use Study (2013). NCAA.org. https://www.ncaa.org/sports/2013/11/20/ncaa-student-athlete-substance-use-study.aspx
NCAA (2020). NCAA.org - The Official Site of the NCAA. Published 2020. https://www.ncaa.org/ sports/2018/10/10/ncaa-sports-sponsorship-and-participation-rates-database.aspx
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 International Sport. 14(2). https://doi.org/10.17161/jis.v14i2.14829
Panza, G.A., Weinstock, J., Ash, G.I., & Pescatello, L.S. (2012). Psychometric evaluation of the Timeline followback for exercise among college students. Psychology of Sport and Exercise, 13(6), 779-788. https://doi.org/10.1016/j.psychsport.2012.06.002
Sobell, M.B., Sobell, L.C., Klajner, F., Pavan, D., & Basian, E. (1986). The reliability of a timeline method for assessing normal drinker college students’ recent drinking history: Utility for alcohol research. Addictive Behaviors, 11(1), 49-161. https://doi.org/10.1016/0306-4603(86)90040-7
Tabachnick, B.G. & Fidell, L.S. (2013). Using multivariate statistics. 6th ed. Pearson Education Limited.
Todd, D.M., Deane, F.P., & McKenna, P.A. (1997) Appropriateness of SCL-90-R adolescent and adult norms for outpatient and nonpatient college students. Journal of Counseling Psychology, 44(3), 294-301. https://doi.org/10.1037/0022-0167.44.3.294
Tomon, J.E. & Ting, S.R. (2010). Effects of team climate on substance use behaviors, perceptions, and attitudes of student-athletes at a large, public university. Journal of College Student Development. 51(2), 162-179. https://doi.org/10.1353/csd.0.0126
van den Berg, J.J., Adeyemo, S., Roberts, M.B., Bock, B.C, Stein, L.A.R., Martin, R.A., Parker, D.R., & Clarke, J.G. (2018). Comparing the validity of self-report and urinalysis for substance use among former inmates in the northeastern United States. Substance Use & Misuse, 53(1), 1756-1761. https://doi.org/10.1080/10826084.2018.1432646
Wang, P.S., Aguilar-Gaxiola, S., Alonso, J., Angermeyer, M.C., Borges, G., Bromet, E.J., Bruffaerts, R., de Girolamo, G., de Graaf, R., Gureje, O., Haro, J.M, Karam, E.G., Kessler, R.C., Kovess, V., Lane, M.C., Lee, S., Levinson, D., Ono, Y, Petukhova, M., … Wells, J.E. (2007). Use of mental health services for anxiety, mood, and substance disorders in 17 countries in the WHO world mental health surveys. Lancet. 370(9590), 841-850. https://doi.org/10.1016/s0140-6736(07)61414-7
Williams, R.J. & Nowatzki, N. (2005). Validity of Adolescent Self-Report of Substance Use. Substance Use & Misuse, 40(3), 299-311. https://doi.org/10.1081/ja-200049327
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