Evidence map›Paper›PMID 29032317›Full record

ArticleAddictive behaviors2018

Predictors of short-term change after a brief alcohol intervention for mandated college drinkers.

Kate B Carey, Jennifer E Merrill, Jennifer L Walsh, Sarah A Lust, Seth C Kalichman, Michael P Carey

Abstract read
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kate B CareyCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI, United States; Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States. Electronic address: kate_carey@brown.edu.
Jennifer E MerrillCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI, United States; Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States.
Jennifer L WalshCenter for AIDS Intervention Research, Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI, United States.
Sarah A LustDepartment of Social Sciences, Maryville University, St. Louis, MO, United States.
Seth C KalichmanDepartment of Psychology, University of Connecticut, Storrs, CT, United States; Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT, United States.
Michael P CareyDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, United States; Centers for Preventive and Behavioral Medicine, The Miriam Hospital, Providence, RI, United States.

Funding

ALCOHOL INTERVENTION/TREATMENT OUTCOME RESEARCH TRAININGT32AA007459 · NIAAA · BROWN UNIVERSITY · PI ROBERT MIRANDA, PETER M. MONTI · 1986 to 2026
$13.3M
BRIEF INTERVENTIONS FOR BINGE DRINKING COLLEGE STUDENTSR01AA012518 · NIAAA · SYRACUSE UNIVERSITY · PI CAREY, KATE B · 2000 to 2014
$5.1M
Real-Time Evaluations of Alcohol Consequences and Subsequent DrinkingK01AA022938 · NIAAA · BROWN UNIVERSITY · PI MERRILL, JENNIFER ELIZABETH · 2014 to 2018
$904k
Integrative Data Analysis of HIV Prevention TrialsK01MH099956 · NIMH · MIRIAM HOSPITAL · PI WALSH, JENNIFER LYNN · 2013 to 2017
$793k
NIAAA NIH HHS K01 AA022938NIAAA NIH HHS R01 AA012518NIAAA NIH HHS T32 AA007459NIMH NIH HHS K01 MH099956
6 · The paper itself

Abstract

objectiveBrief motivational interventions (BMIs) reduce problematic drinking for some, but not all, college students. Identifying those students who are less responsive can help to guide intervention refinement. Therefore, we examined demographic, personality, and cognitive factors hypothesized to influence change after a BMI.

methodStudents mandated for intervention following a campus alcohol violation (N=568; 28% female, 38% freshmen) completed a baseline assessment, then received a BMI, and then completed a 1-month follow-up. At both assessments, alcohol use (i.e., drinks per week, typical BAC, binge frequency) and alcohol-related problems were measured.

resultsLatent change score analyses revealed significant decrease in both alcohol use and problems 1month after the BMI. In the final model that predicted change in alcohol use, four factors (male sex, a "fun seeking" disposition, more perceived costs and fewer perceived benefits of change) predicted smaller decreases in alcohol use over time. In the final model that predicted change in alcohol-related problems, three factors (stronger beliefs about the centrality of alcohol to college life, more perceived costs and fewer perceived benefits of change) predicted smaller decreases in problems over time.

conclusionsParticipation in a BMI reduced alcohol use and problems among mandated college students at 1-month follow-up. We identified predictors of these outcomes, which suggest the need to tailor the BMI to improve its efficacy among males and those students expressing motives (pro and cons, and fun seeking) and beliefs about the centrality of drinking in college.

Indexed as

Mandatory ProgramsMotivationAdultAlcohol Drinking in CollegeAlcohol-Related DisordersFemaleFollow-Up StudiesHumansMaleNew EnglandPsychotherapy, BriefSex FactorsStudentsTime FactorsTreatment OutcomeUniversitiesAlcohol abuse preventionBrief motivational interventionCollege studentsDrinking

Identifiers

PMID29032317
PMCPMC5701863

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.