Abstract
Background: Participation in drinking games (DG) has been identified as a common health-risk behavior among college students. However, research suggests that the frequency of DG participation alone may not pose a significant health risk; rather, gaming may be most hazardous when large amounts of alcohol are consumed. Objectives: The present study was designed to examine whether specific gaming behaviors (frequency of play and amount of consumption) place gamers at elevated risk for negative drinking outcomes. Method: Students from 30 U.S. colleges completed self-report questionnaires via the Internet about their drinking attitudes and behaviors. Four groups of student gamers (N = 2,230) were examined: low frequency/low consumption (n = 1,047), low frequency/high consumption (n = 453), high frequency/low consumption (n = 326), and high frequency/high consumption (n = 404). Results: Multilevel regression analyses indicated that the frequency x consumption interaction emerged as a significant predictor of negative drinking consequences. Follow-up analyses indicated that quantity of alcohol consumed during DG predicted negative drinking consequences for high-frequency gamers only. Conclusions/Scientific Contribution: The present results challenge the assumption that all drinking-gaming practices pose equivalent health risks for gamers. Considering only participation in or level of consumption during DG may not tell the complete story with respect to the health hazards involved with gaming behaviors among college students.
ACKNOWLEDGMENTS
Members of the collaborative not listed on the author byline include the following: Vicky Phares and Ariz Rojas, University of South Florida; Anthony D. Greene, University of North Carolina–Charlotte; Elissa Brown, St. John's University; Michelle K. Williams and V. Bede Agocha, University of Connecticut; Susan Krauss Whitbourne, University of Massachusetts; Britton Brewer, Springfield College; Liliana Rodriguez, Williams College; Jacquelyn D. Wiersma, Pennsylvania State University; M. Brent Donnellan, Michigan State University; Alexander T. Vazsonyi, Auburn University; Russell D. Ravert, University of Missouri-Columbia; Richard M. Lee and Stephanie Pituc, University of Minnesota; S. Jean Caraway, University of South Dakota; Gustavo Carlo and Maria Iturbide, University of Nebraska–Lincoln; Miguel Cano, Texas A&M University; Thao N. Le, Colorado State University; Sam A. Hardy, Brigham Young University; Adriana Umaña-Taylor, Arizona State University; Eric Hurley, Pomona College; and Nolan Zane and Gloria Wong, University of California–Davis.