Profiling of Student-Athletes using Protective Behavioral Strategies and Alcohol Use Based on Cluster Analysis Assignment

Lindsey Sanders, William Dudley, Jeffrey Milroy, David Wyrick

Abstract


An estimated 2 in 3 college students report consuming alcohol in the past month and 44% of students report engaging in high risk or heavy episodic drinking at least once in the previous 2 weeks. Despite evidence suggesting that participation in sports may be a protective factor for the use of alcohol, recent data from the National Collegiate Athletic Association (NCAA), finds that 77% college student-athletes report use. Though overall prevalence rates of alcohol consumption are similar among college student-athletes and non-athletes, student-athletes are more likely to engage in binge or high-risk drinking as compared to their non-athlete peers. An overwhelming majority of studies found that protective behavioral strategy (PBS) use was associated with less drinking and alcohol-related problems. There are sport-related factors that have been assessed to determine their association with use of alcohol-related PBS. With known factors in mind, prevention programs are typically developed to effect distal outcomes by way of these, more proximal, intermediate constructs that are thought to be related to the health problem of interest. The purpose of the current study was to examine the structural features that influence whether a given student-athlete will be categorized into one of three groups; a) high-risk drinking behaviors, b) moderate risk drinking behaviors, or c) low risk drinking behaviors.

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References


Allison, D. B. (2006). Microarray data analysis: from disarray to consolidation and consensus. Nature Review Genetics, 7, 55-65.

Arbelaitz, O., Gurrutxaga, I., Muguerza, J., Pérez, J. M., & Perona, I. (2013). An extensive comparative study of cluster validity indices. Pattern Recognition, 46(1), 243–256. https://doi.org/10.1016/j.patcog.2012.07.021

Autti, T., Sipila, L., Autti, H., & Salonen, O. (1997). Brain lesions in players of contact sports. The Lancet, 349(9059), 1144. Retrieved from https://login.libproxy.uncg.edu/login?url=http://search.proquest.com/docview/199058870?accountid=14604

Baron, R. M. & Kenney, D. A. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality Social Psychology, 51, 1173-1182.

Benton, S. L., Schmidt, J. L., Newton, F. B., Shin, K., Benton, S. A., & Newton, D. W. (2004). College student protective strategies and drinking consequences. Journal of Studies on Alcohol, 65(1), 115-121.

Bradizza, C. M., Reifman, A., & Barnes, G. M. (1999). Social and coping reasons for drinking: predicting alcohol misuse in adolescents. Journal on Studies of Alcohol, 60(4), 491-499.

Brenner, J. W., Metz, S. M., & Brenner, C. J. (2009). Campus involvement, perceived campus connection, and alcohol use in college athletes. Journal of Drug Education, 39(3), 303-320.

Brenner, J., & Swanik, K. (2007). High-risk drinking characteristics in collegiate athletes. Journal of American College Health, 56(3), 267-272.

Brooks-Russell, A., Simons-Morton, B., Haynie, D., Farhat, T., & Wang, J. (2014). Longitudinal relationship between drinking with peers, descriptive norms, and adolescent alcohol use. Prevention Science, 15(4), 497-505.

Brown, T. L., Parks, G. S., Zimmerman, R. S., & Phillips, C. M. (2001). The role of religion in predicting adolescent alcohol use and problem drinking. Journal of Studies on Alcohol, 62(5), 696-705.

Carey, K., Scott-Shelton, L.A., Elliot, J.C., Bolles, J.R., & Carey, M.P. (2009). Computer-delivered interventions to reduce college student drinking: A meta-analysis. Addiction, 104, 1807-1819.

Dean, C., & Rowan, D. (2014). The social workers’ role in serving vulnerable athletes. Journal of Social Work Practice, 28(2), 219-227.

Delva, J., Smith, M. P., Howell, R. L., Harrison, D. F., Wilke, D., & Jackson, D. L. (2004). A study of the relationship between protective behaviors and drinking consequences among undergraduate college students. Journal of American College Health, 53(1), 19-26.

Denny, K. G., & Steiner, H. (2009). External and internal factors influencing happiness in elite collegiate athletes. Child Psychiatry and Human Development, 40(1), 55-72.

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.

Elliott, J.C., Carey, K.B., & Bolles, J.R. (2008). Computer-based interventions for college drinking: A qualitative review. Addictive Behaviors, 33, 994–1005.

Fearnow-Kenney, M., Wyrick, D. L., Milroy, J. J., Reifsteck, E., Kelly, S.E., Day, T.F. (2016). The Effect 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.

Finch, H. (2005). Comparison of distance measures in cluster analysis with dichotomous data. Journal of Data Science, 3, 85-100.

Finlay, A. K., White, H. R., Mun, E., Cronley, C. C., & Lee, C. (2012). Racial differences in trajectories of heavy drinking and regular marijuana use from ages 13 to 24 among African American and White males. Drug and Alcohol Dependence, 121(1), 118-123.

Gastil, J. (2000). Thinking, drinking, and driving: Application of theory of reasoned action to DWI prevention. Journal of Applied Social Psychology, 30(11), 2217-2232.

Green, K., Hartmann, D., & Nelson, T. (2014). Binge drinking and sports participation in college: Patterns among athletes and former athletes. International Journal of the Sociology of Sport, 49, 417-434.

Grimm, L. G., & Yarnold, P. R. (2000). Reading and understanding more multivariate statistics. Washington, DC: American Psychological Association.

Grossbard, J. R., Geisner, I. M., Neighbors, C., Kilmer, J. R, & Larimer, M. E. (2007). Are drinking games sports? College athlete drinking game participation and alcohol-related problems. Journal of Studies on Alcohol and Drugs, 68, 97-105.

Haines, M. P., Barker, G., & Rice, R. M. (2006). The personal protective behaviors of college student drinkers: Evidence of indigenous protective norms. Journal of American College Health, 55(2), 69-76.

Huang, J., Jacobs, D., & Derevensky, J. (2010). Sexual risk-taking behaviors, gambling, and heavy drinking among U. S. college athletes. Archives of Sexual Behavior, 39(3), 706-713.

Husic, B. E., McKiernan, K. A., Wayment-Steele, H. K., Sultan, M. M., & Pande, V. S. (2018). A minimum variance clustering approach produces rubust and interpretable coarse-grained models. Journal of Chemical Theory and Computation, 14(2), 1071-1082.

Hustad, J.T.P., Barnett, N.P., Borsari, B., & Jackson, K.M. (2010). Web-based alcohol prevention for incoming college students: A randomized controlled trial. Addictive Behaviors, 35,183–189.

Jackson, K. M. (2008). Heavy episodic drinking: determining the predictive utility of five or more drinks. Psychology of Addictive Behaviors, 22(1), 68-77.

Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J E. (2010). Monitoring the future national survey results on drug use, 1975-2009: Volume I, Secondary school students (NIH Publication No. 10-7584). Bethesda, MD: National Institute on Drug Abuse. Retrieved from http://monitoringthefuture.org/pubs/monographs/vol1_2009.pdf

Klima, T., Skinner, M. L., Haggerty, K. P., Crutchfield, R. D., & Catalano, R. F. (2014). Exploring heavy drinking patterns among black and white young adults. Journal of Studies on Alcohol and Drugs, 75(5), 839-849.

Kwan, M., Bobko, S., Faulkner, G., Donnelly, P., & Cairney, J. (2014). Sport participation and alcohol and illicit drug use in adolescents and young adults: A systematic review of longitudinal studies. Addictive Behaviors, 39(3), 497-506.

LaBrie, J. W., Lac, A., Kenney, S. R., & Mirza, T. (2011). Protective behavioral strategies mediate the effect of drinking motives on alcohol use among heavy drinking college students: Gender and race differences. Addictive Behaviors, 36, 354-361.

Lewis, M. A., Rees, M., Logan, D. E., Kaysen, D. L., & Kilmer, J. R. (2011). Use of drinking protective behavioral strategies in association to sex-related alcohol negative consequences: The mediating role of alcohol consumption. Psychology of Addictive Behaviors, 24(2), 229-238.

Linden-Carmichael, A. N., Vasilenko, S. A., Lanza, S. T., & Maggs, J. L. (2017). High-intensity drinking versus heavy episodic drinking: Prevalence rates and relative odds of alcohol use disorder across adulthood. Alcoholism: Clinical and Experimental Research, 41(10), 1754-1759.

Lisha, N. E. and Sussman, S. (2010). Relationship of high school and college sports participation with alcohol, tobacco, and illicit drug use: A review. Addictive Behaviors, 35(5), 399-407.

MacKinnon, D. P. (1994). Analysis of Mediating Variables in Prevention and Intervention Research. In Scientific Methods for Prevention Intervention Research: NIDA Research Monograph 139, DHHS Pub. 94-3631, ed A Cazares, LA Beatty, pp. 127-153. Washington, DC: U.S. Department of Health and Human Sciences.

Martens, M. P. (2017). Alcohol abuse and drug use in sport and performance. Oxford Research Encyclopedias: Psychology. DOI: 10.1093/acrefore/9780190236557.013.168

Masyn, K. (2013). Latent Class Analysis and Finite Mixture modeling. In T. Little (Ed.), The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2: Statistical Analysis (Vol. 2, pp. 1–44). New Your: Oxford.

Mays, D., DePadilla, L., Thompson, N. J., Kushner, H. I., & Windle, M. (2014). Sports participation and problem alcohol use. American Journal of Preventative Medicine, 38(5), 491-498.

Milligan, G. W., & Cooper, M. C. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50(2), 159–179.

Namisango, E., Harding, R., Katabira, E. T., Siegert, R. J., Powell, R. A., Atuhaire, L., Moens, K., & Taylor, S. (2015). A novel symptom cluster analysis among ambulatory HIV/AIDS patients in Uganda. AIDS Care, 27(8), 954-963.

National Collegiate Athletic Association (NCAA). (2014). Mind, Body and Sport Understanding and Supporting Student-Athlete Mental Wellness. NCAA: Indianapolis.

National Collegiate Athletic Association (NCAA). (2018). NCAA National Study on Substance Use Habits of College Student-Athletes: Final report.

National Institute on Alcohol Abuse and Alcoholism (2015). College fact sheet. College drinking. Retrieved from http://pubs.niaaa.nih.gov/publications.CollegeFactSheet/CollegeFactSheet.pdf

Nattiv, A., & Puffer, J. (1991). Lifestyles and health risks of collegiate athletes. The Journal of Family Practice, 33(6), 585-590.

Naylor, A. H., Gardner, D., & Zaichkowsky, L. (2001). Drug use patterns among high school athletes and nonathletes. Adolescence, 36(144), 627-639.

Nelson, T. F., & Wechsler, H. (2001). Alcohol and college athletes. Medicine and Science in Sports and Exercise, 33(1), 43-47.

O’Brien, C. P., & Lyons, F. (2000). Alcohol and the athlete. Sports Medicine, 29(5), 295-300.

Paschall, M. J., & Flewelling, R. L. (2002). Postsecondary education and heavy drinking by young adults: the moderating effect of race. Journal of Studies on Alcohol, 63(4), 447-455.

Romesburg, C. H. (2004). Cluster analysis for researchers. Raleigh, NC: Lulu Press.

Rooke, S., Thorsteinsson, E., Karpin, A., Copeland, J., Allsop, D. (2010). Computer-delivered interventions for alcohol and tobacco use: a meta-analysis. Addiction, 105(8), 1381-90.

Sabo, D., Miller, K. E., Melnick, M. J., Farrell, M. P., & Barnes, G. M. (2002). Athletic participation and the health risks of adolescent males: A national study. International Journal of Men’s Health, 1, 173-193.

Samuolis, J., Loser, A., & Tyrrell, A. (2018). Protective behavioral strategies and alcohol use outcomes among college students: The moderating effects of negative affect. Journal of Drug Education, 48(1-2), 54-66.

Shirreffs, S. M., & Maughan, R. J. (2006). The effect of alcohol on athletic performance. Current Sports Medicine Reports, 5, 192-196.

Terlecki, M. A., Buckner, J. D., Larimer, M. E., & Copeland, A. L. (2015). Randomized controlled trial of brief alcohol screening and intervention for college students for heavy-drinking mandated and volunteer undergraduates: 12-month outcomes. Psychology of Addictive Behaviors, 29(1), 2-16.

Thombs, D. L., & Hamilton, M. (2002). Effects of a social norm feedback campaign on the drinking norms and behavior of Division I student-athletes. Journal of Drug Education, 3, 227-244.

Turrisi, R., Mallett, K. A., Mastroleo, N. R., & Larimer, M. E. (2010). Heavy drinking in college students: who is at risk and what is being done about it? The Journal of General Psychology, 133(4), 401-420.

Venne, S., Laguna, P., Walk, S., & Ravizza, K. (2006). Optimism levels among collegiate athletes and non-athletes. International Journal of Sport and Exercise Psychology, 4(2), 182-195.

Walters, S. T., Roudsari, B. S., Valder, A. M., & Harris, T. R. (2007). Correlates of protective behavior utilization among heavy-drinking college students. Addictive Behaviors, 32, 2633-2644.

Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58, 236-244.

Wechsler, H., & Nelson, T. F. (2008). What we have learned from the Harvard School of Public Health College Alcohol Study: Focusing attention on college student alcohol consumption and the environmental conditions that promote it. Journal of Studies on Alcohol and Drugs, 69(4), 481-490.

Wiers, R. W., & Kummeling, R. H. (2004). An experimental test of an alcohol expectancy challenge in mixed gender groups of young heavy drinkers. Addictive Behaviors, 29(1), 215-220.

Wilsnack, R. W., Wilsnack, S. C., Kristjanson, A. F., Vogeltanz-Holm, N. D., & Gmel, G. (2009). Gender and alcohol consumption: Patterns from the multinational Genacis Project. Addiction, 104(9), 1487-1500.

Yusko, D. A., Buckman, J. F., White, H. R., & Pandina, R. J. (2008). Risk for excessive alcohol use and drinking-related problems in college student athletes. Addictive Behaviors, 33(12), 1546-1556.




DOI: http://dx.doi.org/10.1921/swssr.v20i2.1246

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