258164 Using the Integrated Behavioral Model to Predict High-Risk Drinking among College Students

Tuesday, October 30, 2012

Robert Braun, PhD, MPH, CHES , Department of Health and Sport Sciences, Otterbein University, Westerville, OH
Tavis Glassman, Ph.D., MPH, MCHES , Health Education, University of Toledo, Toledo, OH
Jiunn-Jye Sheu, PhD, MSPH, MCHES , Department of Health and Recreation Professions, University of Toledo, Toledo, OH
Joseph A. Dake, PhD, MPH , Department of Health, University of Toledo, Toledo, OH
Timothy R. Jordan, PhD, MEd , Department of Public Health, University of Toledo, Toledo, OH
Faith Yingling, PhD, CHES , Director of Wellness, Bowling Green State University, Bowling Green, OH
The high-risk drinking rate among college students has remained relatively high (43%) for the last twenty-five years, indicating a pervasive behavior throughout U.S. college campuses. To explore this behavior more in depth, the current study assessed the Integrated Behavioral Model's (IBM) ability to predict and explain high-risk drinking among college students. The cross-sectional study collected data from 40 randomly selected undergraduate classes from a metropolitan university in the mid-west. Stability, internal consistency, expert panel, and exploratory principle components analysis were conducted to ensure satisfactory validity and reliability of the instrument. Participants included 356 undergraduates (52% female) with a mean age of 23, while 75% self-identified as Caucasian. Thirty-seven percent of the sample reported they engaged in high-risk drinking the last time they partied/socialized, and consequently, almost half experienced a negative outcome due to this behavior. The IBM explained approximately 43% and 26% of variance when predicting intentions and high-risk drinking behavior, respectively. Caucasians (OR=6.51), Hispanics (OR=5.16), those who participated in intramural sports (OR=2.10), and males (OR=1.32) engaged in high-risk drinking at disproportionately high rates. A path analysis revealed three significant constructs (p<0.05) which predicted intentions to binge drink: Experiential Attitude (0.34), Injunctive Norms (0.23), and Self-Efficacy (-0.27). Overall, college students engaged in high-risk drinking based on their affective expectations and their referent's approval, though they believed strongly in their ability to moderate their drinking. Thus, prevention efforts should focus on challenging alcohol expectancies, utilize opinion leaders to discourage high-risk drinking, and enhance self-efficacy by teaching refusal techniques.

Learning Areas:
Assessment of individual and community needs for health education

Learning Objectives:
1. Identify which constructs within the Integrative Behavioral Model are most predictive of high-risk drinking among college students. 2. Discuss how high-risk drinking patterns utilizing the Integrated Behavioral Model varied by demographic.

Keywords: College Students, Binge Drinking

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have co-authored many articles on binge drinking among college students. This is one of my areas of scientific interest.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.