Using the Integrated Behavioral Model to Predict Binge Drinking among College Students
Main Author: | |
---|---|
Language: | English |
Published: |
University of Toledo / OhioLINK
2012
|
Subjects: | |
Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=toledo1337785118 |
id |
ndltd-OhioLink-oai-etd.ohiolink.edu-toledo1337785118 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-OhioLink-oai-etd.ohiolink.edu-toledo13377851182021-08-03T06:08:19Z Using the Integrated Behavioral Model to Predict Binge Drinking among College Students Braun, Robert E. Health Education binge drinking college students behavioral science theories <p>The binge drinking rate among college students has remained relatively high (43%) for the first decade of 2000, indicating a pervasive behavior throughout U.S. college campuses. This behavior poses a consistent threat to the safety and health of college students. This public health issue urgently demands a remedy, and behavior scientists have proposed a number of theories to help explain it. Among these theories is the Integrated Behavioral Model (IBM), an extension of the Theory of Planned Behavior. The current study assessed the IBM’s ability to predict and explain binge drinking among college students. An extensive literature review, data obtained from focus groups, and operationalizing the constructs from the IBM led to the development of a survey instrument. The research design included a single-point, cross-sectional data collection method of 40 randomly chosen undergraduate classes offered during the summer of 2011. At a response rate of 89%, the participants included 356 individuals (52% female), 75% caucasian, with a mean age of 23. Thirty-seven percent reported they binge drank the last time they partied/socialized, while almost half experienced a negative consequence due to this behavior. The IBM explained approximately 43% of intentions and 26% of binge drinking behavior and indicated that Caucasians (OR=6.51), Hispanics (OR=5.16), those who participated in intramural sports (OR=2.10), and college males (OR=1.32) binge drank 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). That is, students binge drink based on their affective expectations and their referent’s approval, though they believed strongly in their ability to moderate their drinking. </p><p>Prevention programs could include peer education to lessen alcohol expectancies, the use of opinion leaders (family members or high-profile figures) to help reduce binge drinking, and education of college students on refusal techniques and alcohol avoidance to increase self-efficacy. Although limited in its use thus far, the IBM shows promise in its application regarding binge drinking among college students. Future research should determine the efficacy of the IBM constructs which were found to be nonsignificant (IA, DN, and PC).</p> 2012-07-09 English text University of Toledo / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=toledo1337785118 http://rave.ohiolink.edu/etdc/view?acc_num=toledo1337785118 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
collection |
NDLTD |
language |
English |
sources |
NDLTD |
topic |
Health Education binge drinking college students behavioral science theories |
spellingShingle |
Health Education binge drinking college students behavioral science theories Braun, Robert E. Using the Integrated Behavioral Model to Predict Binge Drinking among College Students |
author |
Braun, Robert E. |
author_facet |
Braun, Robert E. |
author_sort |
Braun, Robert E. |
title |
Using the Integrated Behavioral Model to Predict Binge Drinking among College Students |
title_short |
Using the Integrated Behavioral Model to Predict Binge Drinking among College Students |
title_full |
Using the Integrated Behavioral Model to Predict Binge Drinking among College Students |
title_fullStr |
Using the Integrated Behavioral Model to Predict Binge Drinking among College Students |
title_full_unstemmed |
Using the Integrated Behavioral Model to Predict Binge Drinking among College Students |
title_sort |
using the integrated behavioral model to predict binge drinking among college students |
publisher |
University of Toledo / OhioLINK |
publishDate |
2012 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1337785118 |
work_keys_str_mv |
AT braunroberte usingtheintegratedbehavioralmodeltopredictbingedrinkingamongcollegestudents |
_version_ |
1719431507624329216 |