College factors that influence drinking.
OBJECTIVE
The purpose of this article is to examine the aspects of collegiate environments, rather than student characteristics, that influence drinking. Unfortunately, the existing literature is scant on this topic.


METHODS
A literature review of articles primarily published within the last 10 years, along with some earlier "landmark" studies of collegiate drinking in the United States, was conducted to determine institutional factors that influence the consumption of alcohol. In addition, a demonstration analysis of Core Alcohol and Drug Survey research findings was conducted to further elucidate the issues.


RESULTS
Several factors have been shown to relate to drinking: (1) organizational property variables of campuses, including affiliations (historically black institutions, women's institutions), presence of a Greek system, athletics and 2- or 4-year designation; (2) physical and behavioral property variables of campuses, including type of residence, institution size, location and quantity of heavy episodic drinking; and (3) campus community property variables, including pricing and availability and outlet density. Studies, however, tend to look at individual variables one at a time rather than in combination (multivariate analyses). Some new analyses, using Core Alcohol and Drug Survey data sets, are presented as examples of promising approaches to future research.


CONCLUSIONS
Given the complexities of campus environments, it continues to be a challenge to the field to firmly establish the most compelling institutional and environmental factors relating to high-risk collegiate drinking.
Presley
Cheryl A
CA
Student Health Programs, Southern Illinois University, Carbondale, USA.
Meilman
Philip W
PW
Leichliter
Jami S
JS
D000428:Alcohol Drinking / Q000191:economics / Q000523:psychology*; D000704:Analysis of Variance; D016009:Chi-Square Distribution; D006801:Humans; D016017:Odds Ratio; D012931:Social Environment; D012959:Socioeconomic Factors; D014495:Universities / Q000191:economics / Q000706:statistics & numerical data