Tailgating Protective Behavioral Strategies Mediate the Effects of Positive Alcohol Outcome Expectancies on Game Day Drinking


Although a growing body of evidence suggests protective behavioral strategies are associated with lower alcohol use among college students, we know little about what contributes to students’ decisions to use these strategies. Alcohol outcome expectancies have been associated with alcohol use among college students, and may contribute to their decisions to use protective behavioral strategies while drinking in contexts associated with an elevated risk for heavy alcohol use. University football game tailgating is one high-risk context that has received limited empirical attention with respect to identifying risk and protective factors for use. We sought to determine whether expectancy effects on tailgating drinking may be attributable to the approach or avoidance of protective strategies in this context. We expected college students who perceive greater positive expectancies to report engaging in more protective strategies on game day, whereas we hypothesized greater negative expectancies would be associated with less use of protective strategies. College students (N = 231) reported outcome expectancies online within 7 days of tailgating and quantity of alcoholic drinks consumed while tailgating, as well as whether they used limiting consumption (i.e., counting drinks, alternating drinking water and alcohol) and harm reduction (HR; i.e., sober transportation) strategies 48 h after tailgating. Results indicated higher positive expectancies were associated with greater use of HR strategies. Positive expectancies were indirectly positively related to greater game day tailgating drinking and negatively to odds of abstaining through the use of protective strategies, and unique indirect effects were observed for HR strategies. These findings highlight important individual differences that contribute to the use of protective behaviors, and suggest that expectancy-challenge interventions may be tailored to address unsafe drinking practices and promote college student health.

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Fig. 1


  1. 1.

    Additional recruitment methods included class visits by the primary investigator.

  2. 2.

    Measured as high school involvement in intramural sports (1 = yes, 0 = no), which has been demonstrated to be a better predictor of college drinking than college athletic involvement (Lisha & Sussman, 2010) and 81% (n = 206) of the sample reported being involved in athletics by this measure. Prior drinking history, measured using a 4-point Likert-type scale from 0 (do not drink) to 4 (having an average of 12 or more drinks per week), was weakly associated with game day drinking (r = .09, p = .007). Including this as a covariate, in addition to game day drinking, gender, and athletic involvement, reduced the association between positive expectancies and protective strategies from .43 (p = .003) to .29 (p = .076), but did not change remaining interpretations.


  1. Del Boca, F. K., Darkes, J., Greenbaum, P. E., & Goldman, M. S. (2004). Up close and personal: Temporal variability in the drinking of individual college students during their first year. Journal of Consulting and Clinical Psychology, 72(2), 155–164. https://doi.org/10.1037/0022-006X.72.2.155.

    Article  PubMed  Google Scholar 

  2. Glassman, T. J., Dodd, V. J., Sheu, J. J., Rienzo, B. A., & Wagenaar, A. C. (2010). Extreme ritualistic alcohol consumption among college students on game day. Journal of American College Health, 58(5), 413–423. https://doi.org/10.1080/07448480903540473.

    Article  PubMed  Google Scholar 

  3. Jones, B. T., Corbin, W., & Fromme, K. (2001). A review of expectancy theory and alcohol consumption. Addiction, 96(1), 57–72. https://doi.org/10.1080/09652140020016969.

    Article  CAS  PubMed  Google Scholar 

  4. LaBrie, J. W., Grant, S., & Hummer, J. F. (2011). This would be better drunk: Alcohol expectancies become more positive while drinking in the college social environment. Addictive Behaviors, 36(8), 890–893. https://doi.org/10.1016/j.addbeh.2011.03.015.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Lee, C. M., Neighbors, C., Lewis, M. A., Kaysen, D., Mittmann, A., Geisner, I. M., et al. (2014). Randomized controlled trial of a spring break intervention to reduce high-risk drinking. Journal of Consulting and Clinical Psychology, 82(2), 189–201. https://doi.org/10.1037/a0035743.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Leigh, B. C., & Stacy, A. W. (1993). Alcohol outcome expectancies: Scale construction and predictive utility in higher order confirmatory models. Psychological Assessment, 5(2), 216–229. https://doi.org/10.1037/1040-3590.5.2.216.

    Article  Google Scholar 

  7. Lisha, N. E., & 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. https://doi.org/10.1016/j.addbeh.2009.12.032.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Livingston, M., & Callinan, S. (2015). Underreporting in alcohol surveys: Whose drinking is underestimated? Journal of Studies on Alcohol and Drugs, 76(1), 158–164. https://doi.org/10.15288/jsad.2015.76.158.

    Article  PubMed  Google Scholar 

  9. Madson, M. B., & Zeigler-Hill, V. (2013). Protective behavioral strategies, alcohol consumption, and negative alcohol-related consequences: Do race and gender moderate these associations? Journal of Ethnicity in Substance Abuse, 12(3), 242–258. https://doi.org/10.1080/15332640.2013.798848.

    Article  PubMed  Google Scholar 

  10. Neal, D. J., & Fromme, K. (2007). Hook’em horns and heavy drinking: Alcohol use and collegiate sports. Addictive Behaviors, 32(11), 2681–2693. https://doi.org/10.1016/j.addbeh.2007.06.020.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Neighbors, C., Atkins, D. C., Lewis, M. A., Lee, C. M., Kaysen, D., Mittmann, A., et al. (2011). Event-specific drinking among college students. Psychology of Addictive Behaviors, 25(4), 702–707. https://doi.org/10.1037/a0024051.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Neighbors, C., Lee, C. M., Atkins, D. C., Lewis, M. A., Kaysen, D., Mittmann, A., et al. (2012). A randomized controlled trial of event-specific prevention strategies for reducing problematic drinking associated with 21st birthday celebrations. Journal of Consulting and Clinical Psychology, 80(5), 850–862. https://doi.org/10.1037/a0029480.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Neighbors, C., Oster-Aaland, L., Bergstrom, R. L., & Lewis, M. A. (2006). Event- and context-specific normative misperceptions and high-risk drinking: 21st birthday celebrations and football tailgating. Journal of Studies on Alcohol, 67(2), 282–289.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Pearson, M. R. (2013). Use of alcohol protective behavioral strategies among college students: A critical review. Clinical Psychology Review, 33(8), 1025–1040. https://doi.org/10.1016/j.cpr.2013.08.006.

    Article  PubMed  Google Scholar 

  15. Stacy, A. W., Widaman, K. F., & Marlatt, G. A. (1990). Expectancy models of alcohol use. Journal of Personality and Social Psychology, 58(5), 918–928. https://doi.org/10.1037/0022-3514.58.5.918.

    Article  CAS  PubMed  Google Scholar 

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Preparation of this manuscript was supported by the National Institutes of Alcohol Abuse and Alcoholism grant 5R01AA014576-09 (PI: Clayton Neighbors).

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Correspondence to Bradley T. Conner.

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Amber Anthenien declares that she has no conflict of interest. Gereon Fredrickson declares that he has no conflict of interest. Nathaniel Riggs declares that he has no conflict of interest. Bradley Conner declares that he has no conflict of interest. John Jurica declares that he has no conflict of interest. Clayton Neighbors declares that he has no conflict of interest.

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Anthenien, A.M., Fredrickson, G., Riggs, N.R. et al. Tailgating Protective Behavioral Strategies Mediate the Effects of Positive Alcohol Outcome Expectancies on Game Day Drinking. J Primary Prevent 40, 357–365 (2019). https://doi.org/10.1007/s10935-019-00548-1

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  • Harm reduction
  • College student drinking
  • Zero-inflated count model