Evidence map›Paper›PMID 36136433›Full record

ArticleJournal of studies on alcohol and drugs2022

Who Opts In to Alcohol Feedback and How Does That Impact Behavior? A Pilot Trial.

Cassandra L Boness, Ashley C Helle, Mary Beth Miller, Melissa Gordon Wolf, Kenneth J Sher

Abstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Self-report assessment of alcohol sensitivity: An examination of the effects of different probes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Trial
  2. 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

5 authors.

Cassandra L BonessCenter on Alcohol, Substance use, And Addictions, University of New Mexico, Albuquerque, New Mexico.
Ashley C HelleDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.
Mary Beth MillerDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.
Melissa Gordon WolfDepartment of Education, University of California Santa Barbara, Santa Barbara, California.
Kenneth J SherDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.

Funding

The College Alcohol Intervention Matrix (College AIM): Adoption and Implementation Across College CampusesK08AA028543 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI HELLE, ASHLEY COLLEEN · 2021 to 2025
$805k
Initial Development and Validation of a Translational Approach to AUD Definition and MeasurementF31AA026177 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI BONESS, CASSANDRA LEE · 2017 to 2019
$131k
NIAAA NIH HHS F31 AA026177NIAAA NIH HHS K08 AA028543
6 · The paper itself

Abstract

objectivePersonalized feedback interventions are effective in reducing alcohol consumption and related problems. However, little is known about the role of choice in outcomes. The current study sought to (a) characterize individuals who opt in for brief alcohol-related feedback, (b) assess participants' consistency in that choice over two time points, and (c) evaluate changes in peak alcohol consumption among those who did and did not receive feedback.

methodParticipants reporting past-12-month alcohol consumption were recruited through Prolific. At the outset of the survey, participants were asked if they would like to receive feedback on their drinking at the end of the survey ("opt in"). Participants at Time 1 (T1;

resultsThose reporting higher maximum drinks and more drug use were more likely to opt in to feedback than those with lower use. Further, 85% of participants were consistent in their choice of whether to receive feedback across T1 and T2 (κ = .65). Among heavy drinking participants with T1 and T2 data (

conclusionsIndividuals who engage in heavy alcohol use are more likely to opt in to personalized alcohol feedback, and most do so consistently. Among heavy drinkers, feedback at T1 reduced intensity of consumption at T2, but the effect was small and requires future replication in more diverse samples.

Indexed as

Alcohol DrinkingEthanolAdultFeedbackFemaleHumansMalePilot ProjectsSurveys and QuestionnairesEthanol

Identifiers

PMID36136433
PMCPMC9523752

What OpenQuestion holds

Textmetadata
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.