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Student Drinking (student + drinking)

Distribution by Scientific Domains

Medical Sciences	100%

Selected Abstracts

Computer-delivered interventions to reduce college student drinking: a meta-analysis

ADDICTION, Issue 11 2009
Kate B. Carey
ABSTRACT Aims This meta-analysis evaluates the efficacy of computer-delivered interventions (CDIs) to reduce alcohol use among college students. Methods We included 35 manuscripts with 43 separate interventions, and calculated both between-group and within-group effect sizes for alcohol consumption and alcohol-related problems. Effects sizes were calculated for short-term (,5 weeks) and long-term (,6 weeks) intervals. All studies were coded for study descriptors, participant characteristics and intervention components. Results The effects of CDIs depended on the nature of the comparison condition: CDIs reduced quantity and frequency measures relative to assessment-only controls, but rarely differed from comparison conditions that included alcohol-relevant content. Small-to-medium within-group effect sizes can be expected for CDIs at short- and long-term follow-ups; these changes are less than or equivalent to the within-group effect sizes observed for more intensive interventions. Conclusions CDIs reduce the quantity and frequency of drinking among college students. CDIs are generally equivalent to alternative alcohol-related comparison interventions. [source]

The role of personality dispositions to risky behavior in predicting first-year college drinking

ADDICTION, Issue 2 2009
Melissa A. Cyders
ABSTRACT Aims US college student drinking is associated with enormous risks to health, safety and productivity. Recent advances in personality research that have delineated multiple, separate dispositions to engage in risky behaviors may help to clarify the personality contribution to risk for this problem. Design The authors compared the prospective roles of sensation seeking, lack of planning, lack of perseverance, negative urgency and positive urgency (dispositions to engage in rash action when in an unusually negative or positive mood, respectively) in predicting increases in drinking frequency, drinking quantity and negative outcomes from consumption across the first year of college. Setting University of Kentucky campus. Participants A total of 418 first-year US college students enrolled in an Introduction to Psychology course during the first assessment; 293 participants completed both phases of the study. Measurements Participants completed self-report measures of personality and drinking behavior twice during the first year of college [the UPPS-R Impulsive Behavior Scale, positive urgency measure (PUM) and Drinking Styles Questionnaire (DSQ)]. Findings Whereas sensation seeking related to increases in the frequency with which college students drank alcohol, positive urgency predicted increases in (i) the quantity of alcohol students consumed at any given drinking episode and (ii) negative outcomes experienced from drinking. Conclusions It appears that although sensation seeking is a risk factor for participation in drinking behaviors, risk for increased quantity of consumption and its negative outcomes may be more a function of dyscontrol stemming from high positive mood for college students. [source]

Alcohol outlet density and university student drinking: a national study

ADDICTION, Issue 7 2008
Kypros Kypri
ABSTRACT Aims To examine the geographic density of alcohol outlets and associations with drinking levels and related problems among university students. Design Cross-sectional survey study using geospatial data, with campus-level and individual-level analyses. Participants A total of 2550 students (mean age 20.2, 60% women) at six university campuses in New Zealand (63% response). Measurements Counts of alcohol outlets within 3 km of each campus were tested for their non-parametric correlation with aggregated campus drinking levels and related problems. Generalized estimating equations were used to model the relation between outlet counts within 1 km and 3 km of student residences and individual drinking levels/problems, with control for gender, age, ethnicity and high school binge drinking frequency, and adjustment for campus-level clustering. Findings Correlations for campus-level data were 0.77 (P = 0.07) for drinking and personal problems, and 0.31 (P = 0.54) for second-hand effects. There were consistent significant associations of both on- and off-licence outlet densities with all outcomes in student-level adjusted models. Effects were largest for 1 km densities and off-licence outlets. Conclusions There are positive associations between alcohol outlet density and individual drinking and related problems. Associations remain after controlling for demographic variables and pre-university drinking, i.e. the associations are unlikely to be due to self-selection effects. Increasing alcohol outlet density, and particularly off-licences, may increase alcohol-related harm among university students. [source]

Implementation of NIAAA College Drinking Task Force Recommendations: How Are Colleges Doing 6 Years Later?

ALCOHOLISM, Issue 10 2010
Toben F. Nelson
Background:, In 2002, the National Institute on Alcohol Abuse and Alcoholism (NIAAA) College Drinking Task Force issued recommendations to reduce heavy drinking by college students, but little is known about implementation of these recommendations. Current discussion about best strategies to reduce student drinking has focused more on lowering the minimum legal drinking age as advocated by a group of college and university presidents called the Amethyst Initiative than the NIAAA recommendations. Methods:, A nationally representative survey of administrators was conducted at 351 4-year colleges in the United States to ascertain familiarity with and progress toward implementation of NIAAA recommendations. Implementation was compared by enrollment size, public or private status, and whether the school president signed the Amethyst Initiative. Results:, Administrators at most colleges were familiar with NIAAA recommendations, although more than 1 in 5 (22%) were not. Nearly all colleges use educational programs to address student drinking (98%). Half the colleges (50%) offered intervention programs with documented efficacy for students at high risk for alcohol problems. Few colleges reported that empirically supported, community-based alcohol control strategies including conducting compliance checks to monitor illegal alcohol sales (33%), instituting mandatory responsible beverage service (RBS) training (15%), restricting alcohol outlet density (7%), or increasing the price of alcohol (2%) were operating in their community. Less than half the colleges with RBS training and compliance checks in their communities actively participated in these interventions. Large colleges were more likely to have RBS training and compliance checks, but no differences in implementation were found across public/private status or whether the college president signed the Amethyst Initiative. Conclusions:, Many colleges offer empirically supported programs for high-risk drinkers, but few have implemented other strategies recommended by NIAAA to address student drinking. Opportunities exist to reduce student drinking through implementation of existing, empirically based strategies. [source]