Evidence map›Paper›PMID 35976524›Full record

SynthesisPrevention science : the official journal of the Society for Prevention Research2023

Brief Alcohol Interventions are Effective through 6 Months: Findings from Marginalized Zero-inflated Poisson and Negative Binomial Models in a Two-step IPD Meta-analysis.

Eun-Young Mun, Zhengyang Zhou, David Huh, Lin Tan, Dateng Li, Emily E Tanner-Smith, Scott T Walters, Mary E Larimer

Abstract readMeta-Analysis
In one paragraph

Synthesis in Prevention science : the official journal of the Society for Prevention Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Trial
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  8. A mobile-based pregaming drinking prevention intervention for college students: A pilot randomized controlled trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
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  9. Review
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  18. Review
  19. Retrospective Psychometrics and Effect Heterogeneity in Integrated Data Analysis: Commentary on the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2023
    Article
  20. Advancing Intervention and Prevention Research for Behavioral Health Problems Through Data Synthesis.Prevention science : the official journal of the Society for Prevention Research · 2023
    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

8 authors.

Eun-Young MunDepartment of Health Behavior and Health Systems, School of Public Health, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX, 76107, USA. eun-young.mun@unthsc.edu.ORCID 0000-0002-1820-615X
Zhengyang ZhouDepartment of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX, 76107, USA.ORCID 0000-0002-8039-418X
David HuhSchool of Social Work, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-6357-4883
Lin TanDepartment of Health Behavior and Health Systems, School of Public Health, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX, 76107, USA.ORCID 0000-0002-9384-264X
Dateng Li, 121 Westmoreland Ave, White Plains, NY, 10606, USA.ORCID 0000-0002-4287-5337
Emily E Tanner-SmithDepartment of Counseling Psychology and Human Services, University of Oregon, Eugene, OR, 97403, USA.ORCID 0000-0002-5313-0664
Scott T WaltersDepartment of Health Behavior and Health Systems, School of Public Health, University of North Texas Health Science Center, 3500 Camp Bowie Blvd., Fort Worth, TX, 76107, USA.ORCID 0000-0003-4074-6141
Mary E LarimerDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-2003-2312

Funding

Innovative Analyses of Alcohol Intervention Trials for College StudentsR01AA019511 · NIAAA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI MUN, EUN-YOUNG · 2010 to 2021
$4.6M
Optimizing Brief Alcohol Interventions for Young Adults via Computational MethodsK02AA028630 · NIAAA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI MUN, EUN-YOUNG · 2021 to 2025
$668k
NIAAA NIH HHS K02 AA028630NIAAA NIH HHS R01 AA019511
6 · The paper itself

Abstract

To evaluate and optimize brief alcohol interventions (BAIs), it is critical to have a credible overall effect size estimate as a benchmark. Estimating such an effect size has been challenging because alcohol outcomes often represent responses from a mixture of individuals: those at high risk for alcohol misuse, occasional nondrinkers, and abstainers. Moreover, some BAIs exclusively focus on heavy drinkers, whereas others take a universal prevention approach. Depending on sample characteristics, the outcome distribution might have many zeros or very few zeros and overdispersion; consequently, the most appropriate statistical model may differ across studies. We synthesized individual participant data (IPD) from 19 studies in Project INTEGRATE (Mun et al., 2015b) that randomly allocated participants to intervention and control groups (N = 7,704 participants, 38.4% men, 74.7% White, 58.5% first-year students). We sequentially estimated marginalized zero-inflated Poisson (Long et al., 2014) or negative binomial regression models to obtain covariate-adjusted, study-specific intervention effect estimates in the first step, which were subsequently combined in a random-effects meta-analysis model in the second step. BAIs produced a statistically significant 8% advantage in the mean number of drinks at both 1-3 months (RR = 0.92, 95% CI = [0.85, 0.98]) and 6 months (RR = 0.92, 95% CI = [0.85, 0.99]) compared to controls. At 9-12 months, there was no statistically significant difference in the mean number of drinks between BAIs and controls. In conclusion, BAIs are effective at reducing the mean number of drinks through at least 6 months post intervention. IPD can play a critical role in deriving findings that could not be obtained in original individual studies or standard aggregate data meta-analyses.

Indexed as

AlcoholismModels, StatisticalFemaleHumansMaleBrief alcohol interventionBrief motivational interventionCollege studentsIndividual participant dataIntegrative data analysisIPDMeta-analysis

Identifiers

PMID35976524
PMCPMC10678823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.