Evidence map›Paper›PMID 28755560›Full record

ArticleDrug and alcohol dependence2017

Implicit and explicit drinking identity predict latent classes that differ on the basis of college students' drinking behaviors.

Jason J Ramirez, Anne M Fairlie, Cecilia C Olin, Kristen P Lindgren

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. I am what I am: A meta-analysis of the association between substance user identities and substance use-related outcomes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021
    Pooled it
  2. Article
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  5. Review
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

4 authors at 1 institution in 1 country.

Jason J RamirezCenter for the Study of Health and Risk Behaviors (CSHRB), University of Washington, School of Medicine, Department of Psychiatry and Behavioral Sciences, 1100 NE 45th Street, Suite 300, Seattle, WA 98105, United States. Electronic address: jjramirz@uw.edu.
Anne M FairlieCenter for the Study of Health and Risk Behaviors (CSHRB), University of Washington, School of Medicine, Department of Psychiatry and Behavioral Sciences, 1100 NE 45th Street, Suite 300, Seattle, WA 98105, United States.
Cecilia C OlinCenter for the Study of Health and Risk Behaviors (CSHRB), University of Washington, School of Medicine, Department of Psychiatry and Behavioral Sciences, 1100 NE 45th Street, Suite 300, Seattle, WA 98105, United States.
Kristen P LindgrenCenter for the Study of Health and Risk Behaviors (CSHRB), University of Washington, School of Medicine, Department of Psychiatry and Behavioral Sciences, 1100 NE 45th Street, Suite 300, Seattle, WA 98105, United States.
University of Washington · US

Funding

Psychology Training in Alcohol Research (PTAR)T32AA007455 · NIAAA · UNIVERSITY OF WASHINGTON · PI MARY E. LARIMER · 1985 to 2026
$11.4M
Developmental Models of High-Risk Alcohol Use & Social Roles in Young AdulthoodR01AA022087 · NIAAA · UNIVERSITY OF WASHINGTON · PI LEE, CHRISTINE M. · 2014 to 2018
$2.8M
Evaluating Change in Drinking Identity as a Mechanism for Reducing Hazardous DrinkingR01AA024732 · NIAAA · UNIVERSITY OF WASHINGTON · PI LINDGREN, KRISTEN P · 2016 to 2020
$2.1M
Using Implicit Measures to Improve Prediction of Hazardous DrinkingR01AA021763 · NIAAA · UNIVERSITY OF WASHINGTON · PI LINDGREN, KRISTEN P · 2013 to 2017
$1.6M
NIAAA NIH HHS R01 AA021763NIAAA NIH HHS R01 AA022087NIAAA NIH HHS R01 AA024732NIAAA NIH HHS T32 AA007455
6 · The paper itself

Abstract

backgroundThe purpose of this study was to identify distinct classes of college students on the basis of recent and past drinking behaviors and evaluate how implicit and explicit measures of drinking identity predict membership in these classes.

methodsUS undergraduate students (N=456) completed online implicit (Implicit Association Test) and explicit (self-report) measures of drinking identity and assessments of drinking behaviors, including past month drinking, at-risk drinking in the past year, and lifetime history of intoxication. Latent class analysis (LCA) was used to identify classes of college students based on their drinking behaviors.

resultsLCA identified five classes: (1) Lifetime Nondrinker, (2) Recent Nondrinker/Past Risk, (3) Light Drinker, (4) Moderate Drinker, and (5) Heavy Drinker. Overall, stronger implicit and explicit drinking identities were uniquely associated with greater odds of belonging to classes with greater alcohol consumption and related consequences relative to those classes characterized by lower alcohol consumption and consequences. Notably, explicit drinking identity was positively associated with odds of membership to the Recent Nondrinker/Past Risk class relative to the Lifetime Nondrinker and Light Drinker classes, and implicit and explicit drinking identities were positively associated with odds of membership to the Heavy Drinker class relative to all other classes.

conclusionsFindings suggest that drinking identity is sensitive to risky drinking experiences in the past, is especially strong among the highest-risk group of college student drinkers, and may be an important cognitive factor to consider as a target for intervention.

Indexed as

Alcohol DrinkingAlcohol Drinking in CollegeAlcoholic IntoxicationHumansUniversitiesYoung AdultAlcohol useCollege student drinkingDrinking identityImplicit association testLatent class analysis

Identifiers

PMID28755560
PMCPMC5584548
OpenAlexW2735103480

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.