Evidence map›Paper›PMID 42326521›Full record

ArticleResearch square2026

Day-Level Mediators of Change in Brief Motivational Intervention for Alcohol Use and Liver Health.

Abhishek Aggarwal, Peter M Monti, Molly Magill, Kittichai Promrat, Jessica L Mellinger, Hayley Treloar Padovano

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Abhishek AggarwalBrown University.
Peter M MontiBrown University.
Molly MagillBrown University.
Kittichai PromratBrown University Health.
Jessica L MellingerHenry Ford Health.
Hayley Treloar PadovanoBrown University.

Funding

Using wearables and EMA to examine the links between cannabis and depressionP20GM130414 · NIGMS · BROWN UNIVERSITY · PI Cara Murphy · 2019 to 2026
$22.0M
NIGMS NIH HHS P20 GM130414
6 · The paper itself

Abstract

Background: Day-level motivation to limit drinking is theorized to be a proximal mechanism of change in motivational interviewing (MI) interventions targeting alcohol intake, but day-level evidence remains limited. This study examined whether brief MI with personalized biobehavioral feedback was associated with changes in daily drinking among adults with alcohol use disorder (AUD) and alcohol-associated liver disease (ALD), and whether day-level importance and confidence to limit drinking served as within-person mediators of change. Methods: Participants ( Results: Daily drinking outcomes declined during the pre-intervention period, with no significant intervention-day shifts or post-intervention trends. However, the intervention-day shift was associated with increased day-level importance of limiting drinking, and higher-than-usual importance and confidence in limiting drinking on a given day were associated with fewer planned and actual drinks and lower odds of any drinking and heavy drinking. The intervention-day shift exerted significant indirect effects on daily drinking outcomes through same-day increases in importance of limiting drinking. Conclusions: Intensive longitudinal data supported perceived importance of limiting drinking as a proximal day-level mediator of change in brief AUD/ALD interventions, suggesting that frequent, day-level reinforcement of the personal salience of drinking reduction may be a key intervention target.

Indexed as

alcohol use disorderbiobehavioral feedbackbrief motivational interventiondaily diary surveymultilevel mediation

Identifiers

PMID42326521
PMCPMC13278337

What OpenQuestion holds

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Registered trials

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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.