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Annals of Behavioral Medicine
Published in: Annals of Behavioral Medicine 3/2009

01-12-2009 | Rapid Communication

Effects of College Climate on Students’ Binge Drinking: Hierarchical Generalized Linear Model

Authors: Dong-Chul Seo, Ph.D., Kaigang Li, M.S.

Published in: Annals of Behavioral Medicine | Issue 3/2009

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Abstract

Background

Few studies have investigated the effect of college-level contextual factors on students' binge drinking. Most previous studies focused on the effect of individuals' characteristics on their binge drinking.

Purpose

This study tested the effect of college-level contextual factors on students' binge drinking.

Methods

The 2006 National College Health Assessment data collected from 76,542 students in 113 U.S. 4-year colleges were analyzed using the Hox five-step hierarchical random effects logistic regression models.

Results

College-level variables, such as percentages of male students, marijuana users, Black students, and students with Greek affiliation, significantly predicted students' binge drinking above and beyond student-level predictors. An intraclass correlation was 0.10 in the null model, indicating that 10% of students' binge drinking could be explained by differences among colleges. Significant cross-level interactions were found between college-level variables and student-level variables.

Conclusions

In order to reduce binge drinking in college, the findings underscore the need for active intervention within the college climate that addresses drinking.
Literature
1.
Wechsler H, Lee JE, Kuo M, Lee H. College binge drinking in the 1990s: A continuing problem. Results of the Harvard School of Public Health 1999 College Alcohol Study. J Am Coll Health. 2000; 48: 199–210.CrossRefPubMed
2.
National Institute on Alcohol Abuse and Alcoholism. What Colleges Need to Know Now: An Update on College Drinking Research (NIH Publication No. 07-5010). Bethesda: National Institute on Alcohol Abuse and Alcoholism; 2007.
3.
Hingson RW, Heeren T, Zakocs RC. Magnitude of alcohol-related mortality and morbidity among U.S. college students ages 18–24. J Stud Alcohol. 2002; 63: 136–144.PubMed
4.
Wechsler H, Dowdall GW, Davenport A, Castillo S. Correlations of college student binge drinking. J Am Coll Health. 1995; 85: 921–926.
5.
Presley CA, Meilman PW, Leichliter JS. College factors that influence drinking. J Stud Alcohol. 2002; 63(Suppl): 82–90.
6.
Mattern JL, Neighbors C. Social norms campaigns: Examining the relationship between changes in perceived norms and changes in drinking levels. J Stud Alcohol. 2004; 65: 489–493.PubMed
7.
National Institute on Alcohol Abuse and Alcoholism. A Call to Action: Changing the Culture of Drinking at U.S. Colleges (NIH Publication No. 02-5010). Bethesda: National Institute on Alcohol Abuse and Alcoholism; 2002.
8.
Schneider B. Organizational climates: An essay. Person Psychol. 1975; 28: 447–479.CrossRef
9.
Burstein L. The analysis of multilevel data in educational research and evaluation. Rev Res Educ. 1980; 8: 158–233.
10.
Hox J. Multilevel modeling: When and why. In: Balderjahn R, Mather R, Schader M, eds. Classification, Data Analysis, and Data Highways. New York: Springer; 1997: 147–154.
11.
Raudenbush SW, Bryk AS. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Thousand Oaks: Sage; 2001.
12.
National Institute on Alcohol Abuse and Alcoholism. Reducing Alcohol Problems on Campus: A Guide to Planning and Evaluation (NIH Publication No. 02-5011). Bethesda: National Institute on Alcohol Abuse and Alcoholism; 2002.
13.
14.
American College Health Association. American College Health Association National College Health Assessment Spring 2006 reference group data report (abridged). J Am Coll Health. 2007; 55: 195–206.CrossRef
15.
Little RJA. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988; 83: 1198–1202.CrossRef
16.
Hox J. Multilevel Analysis: Techniques and Applications. Mahwah: Lawrence Erlbaum; 2002.
17.
Snijders TAB, Bosker RJ. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. Thousand Oaks: Sage; 1999.
18.
O’Malley PM, Johnston LD. Epidemiology of alcohol and other drug use among American college students. J Stud Alcohol. 2002; 63(Suppl): 23–39.
19.
Wechsler H, Kuo M, Lee H, Dowdall GW. Environmental correlates of underage alcohol use and related problems of college students. Am J Prev Med. 2000; 19: 24–29.CrossRefPubMed
20.
Bennett ME, Miller JH, Woodall WG. Drinking, binge drinking, and other drug use among southwestern undergraduates: Three-year trends. Am J Drug Alcohol Abuse. 1999; 25: 331–350.CrossRefPubMed
Metadata
Title
Effects of College Climate on Students’ Binge Drinking: Hierarchical Generalized Linear Model
Authors
Dong-Chul Seo, Ph.D.
Kaigang Li, M.S.
Publication date
01-12-2009
Publisher
Springer-Verlag
Published in
Annals of Behavioral Medicine / Issue 3/2009
Print ISSN: 0883-6612
Electronic ISSN: 1532-4796
DOI
https://doi.org/10.1007/s12160-009-9150-3

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