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A quantification of the alcohol use-consequences association in college student and clinical populations: A large, multi-sample study.

ABSTRACT: BACKGROUND:The present study sought to quantify the relationship between alcohol use and alcohol-related consequences in both college student and clinical samples. METHODS:We gathered 33 college student datasets comprising of 15,618 participants and nine clinical sample datasets comprising of 4,527 participants to determine the effect size of the relationship between alcohol use and alcohol-related consequences. We used random-effects meta-analytic techniques, separately in college and clinical samples, to account for a distribution of true effects and to assess for heterogeneity in effect sizes. RESULTS:Results demonstrated that the clear majority of the variability in alcohol-related consequences is not explained by alcohol use (ie, >77% in college samples; >86% in clinical samples), and that there was significant heterogeneity in all effect sizes. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE:Experiencing alcohol-related consequences results from factors that extend beyond frequency and quantity of alcohol consumed suggesting a need to examine other predictors of alcohol-related consequences beyond alcohol use. (Am J Addict 2018;27:116-123).

SUBMITTER: Prince MA

PROVIDER: S-EPMC5831488 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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A quantification of the alcohol use-consequences association in college student and clinical populations: A large, multi-sample study.

Prince Mark A MA Pearson Matthew R MR Bravo Adrian J AJ Montes Kevin S KS

The American journal on addictions 20180122 2

<h4>Background</h4>The present study sought to quantify the relationship between alcohol use and alcohol-related consequences in both college student and clinical samples.<h4>Methods</h4>We gathered 33 college student datasets comprising of 15,618 participants and nine clinical sample datasets comprising of 4,527 participants to determine the effect size of the relationship between alcohol use and alcohol-related consequences. We used random-effects meta-analytic techniques, separately in colleg ...[more]

PMID: 29356194

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Project description:This study examines Korean college students' rates and the severity of various negative consequences resulting from the frequency and quantity of alcohol consumption and the unique factors that are affecting this problem in the Korean context in comparison to other countries. It assesses how much gender, age and other associated respondent characteristics mediate alcohol use and the resulting negative consequences among the population. A stratified representative sample of 4803 valid student respondents attending 82 colleges participated in the alcohol consumption survey, of which 95% reported drinking in past 12 months. Drinking is measured by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screening tool. Based on this test, composite scores for each participant were computed and students were grouped into four risk groups: (a) nondrinkers, (b) light drinkers, (c) moderate drinkers and (d) heavy drinkers. Outcome measures include 21 validated items evaluating self-reported alcohol-related negative consequences. Rates of negative consequences are reported for each drinking risk group stratified by gender. Descriptive statistics, stepwise regression, multivariate linear regression and MANOVA tests were used to analyze the data. The study found that female respondents in the sample who consumed alcohol in the past 12 months drank 11.5 percent less than males (AUDIT-C score ? = 6.0 and 6.7, respectively), and there was a greater proportion of females (5.1 percent) who were nondrinkers than males (4.6 percent). Yet, when females drank, they experienced 11.8 percent more negative consequences on average than males (? = 1.9 and 1.7, respectively). The study attempts to explain this apparent contradiction. The self-reported rates for many individual negative consequences also varied discernibly by gender. The study concludes with suggestions for how alcohol prevention on Korean college campuses would benefit from targeting females and males differently.

Dataset Information

A quantification of the alcohol use-consequences association in college student and clinical populations: A large, multi-sample study.

Publications

A quantification of the alcohol use-consequences association in college student and clinical populations: A large, multi-sample study.

Similar Datasets

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