Evidence map›Paper›PMID 42321593›Full record

Observational studyAddiction (Abingdon, England)2026

Alcohol-free and low-alcohol beverage consumption and concurrent and subsequent alcohol outcomes among young adults.

Samuel Mann, Daniel Siconolfi, Anthony Rodriguez, Rachana Seelam, Eric R Pedersen, Michael Dunbar, Elizabeth J D'Amico

Abstract readObservational Study
In one paragraph

Observational study in Addiction (Abingdon, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

7 authors.

Samuel MannRAND, Arlington, VA, USA.ORCID https://orcid.org/0000-0002-1814-5684
Daniel SiconolfiRAND, Pittsburgh, PA, USA.
Anthony RodriguezRAND, Boston, MA, USA.
Rachana SeelamRAND, Santa Monica, CA, USA.
Eric R PedersenDepartment of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Michael DunbarRAND, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-2644-0413
Elizabeth J D'AmicoRAND, Santa Monica, CA, USA.ORCID https://orcid.org/0000-0002-8527-7804

Funding

Brief Voluntary Alcohol and Drug Intervention for Middle School YouthR01AA016577 · NIAAA · RAND CORPORATION · PI D'AMICO, ELIZABETH J. · 2007 to 2011
$4.5M
Psychometric Evaluation of AHIMSA ScaleR01AA025848 · NIAAA · RAND CORPORATION · PI D'AMICO, ELIZABETH J. · 2017 to 2021
$3.7M
Adolescent AOD Use Trajectories: The Role of Race and EthnicityR01AA020883 · NIAAA · RAND CORPORATION · PI D'AMICO, ELIZABETH J. · 2012 to 2016
$3.5M
Life Course Perspective on Alcohol and Drug Use Trajectories from Adolescence into AdulthoodR01AA028812 · NIAAA · RAND CORPORATION · PI D'AMICO, ELIZABETH J. · 2021 to 2025
$3.1M
NIAAA NIH HHS R01 AA016577NIAAA NIH HHS R01 AA020883NIAAA NIH HHS R01 AA025848NIAAA NIH HHS R01 AA028812NIH HHS R01AA016577NIH HHS R01AA020883NIH HHS R01AA025848NIH HHS R01AA02881
6 · The paper itself

Abstract

BACKGROUND AND

aimsAlcohol-Free and Low-Alcohol Beverages (AFLABs) have grown in popularity, yet predictors and longitudinal outcomes of their use remain unclear. We aimed to measure the association between AFLAB consumption and (1) concurrent and (2) subsequent alcohol consumption, risk and change measures (e.g. consequences, quit attempts, abstention) and drinking motives among young adults.

designObservational study using two survey waves (W15 and W16; 2022-2024) from a longitudinal cohort study (STRATA).

settingCalifornia, USA (surveys fielded 2022-2024).

participantsCross sectional analysis of young adults (n = 877 individuals, of which 849 were followed in W16) who report past-month alcohol consumption in W15 from a California-based cohort study, and analysis of those with past-month alcohol consumption at both W15 and W16 (n = 693). MEASUREMENTS: Individuals completed survey items on past-month AFLAB consumption, alcohol consumption (past-month heavy episodic drinking and past-year abstention), alcohol risk and change measures (alcohol-related consequences, indicators of a change effort and the alcohol contemplation ladder) and drinking motives (from the drinking motives questionnaire).

findingsTwenty-four percent of participants reported past-month AFLAB use at baseline. Adjusted cross-sectional models using W15 data indicated that AFLAB use was associated with lower social drinking motives [coefficient = -0.005; 95% confidence interval (CI) = -0.011 to 0.0001] but was not statistically significantly associated with other alcohol consumption, risk or change measures. In adjusted prospective models, baseline AFLAB use was associated with a 5.1 percentage point (pp) higher probability of alcohol abstention at W16 (95% CI = 1.1-9.1) than lack of AFLAB use. In adjusted prospective models, baseline AFLAB use was not statistically significantly associated with heavy episodic drinking, alcohol-related consequences or most change-related measures, although there was suggestive evidence of a higher likelihood of reporting a quit attempt in the past 3 months.

conclusionsUse of alcohol-free and low-alcohol beverages appears to be common among young adults in California, USA, and appears to be concurrently associated with lower social drinking motives and prospectively associated with subsequent alcohol abstention.

Indexed as

Alcohol AbstinenceAlcohol DrinkingAlcoholic BeveragesAdolescentCaliforniaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMotivationYoung Adultabstentionalcoholalcohol free and low alcohol beveragesalcohol quit attemptsalcohol risk and change behaviorsyoung adults

Identifiers

PMID42321593
PMCPMC13286231

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.