Evidence map›Paper›PMID 34767159›Full record

SynthesisPrevention science : the official journal of the Society for Prevention Research2022

A Structural Equation Modeling Approach to Meta-analytic Mediation Analysis Using Individual Participant Data: Testing Protective Behavioral Strategies as a Mediator of Brief Motivational Intervention Effects on Alcohol-Related Problems.

David Huh, Xiaoyin Li, Zhengyang Zhou, Scott T Walters, Scott A Baldwin, Zhengqi Tan, Mary E Larimer, Eun-Young Mun

Open access · hybridAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Prevention science : the official journal of the Society for Prevention Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
2.2field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Investigating for Whom Brief Substance Use Interventions Are Most Effective: An Individual Participant Data Meta-analysis.Prevention science : the official journal of the Society for Prevention Research · 2023
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. The Impact of Sparse Datasets When Harmonizing Data from Studies with Different Measures of the Same Construct.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  9. Article
  10. Review
  11. Leveraging Research Synthesis Methods to Support Evidence-Based Policy- and Decision-Making.Prevention science : the official journal of the Society for Prevention Research · 2022
    Article
  12. Modern Meta-Analytic Methods in Prevention Science: Introduction to the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2022
    Article
  13. 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 at 3 institutions in 1 country.

David HuhSchool of Social Work, University of Washington, 4101 15th Ave NE, Box 354900, Seattle, WA, 98105-6299, USA. dhuh@uw.edu.ORCID 0000-0002-6357-4883
Xiaoyin LiDepartment of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, USA.ORCID 0000-0001-8028-8910
Zhengyang ZhouDepartment of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX, USA.ORCID 0000-0002-8039-418X
Scott T WaltersDepartment of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, USA.ORCID 0000-0003-4074-6141
Scott A BaldwinDepartment of Psychology, Brigham Young University, Provo, UT, USA.ORCID 0000-0003-3428-0437
Zhengqi TanDepartment of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX, USA.ORCID 0000-0002-2297-2770
Mary E LarimerDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Eun-Young MunDepartment of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, USA.ORCID 0000-0002-1820-615X
University of North Texas · USUniversity of Washington · USBrigham Young University · US

Funding

University of Washington Developmental AIDS Research Center for Mental Health (UW ARCH)P30MH123248 · NIMH · UNIVERSITY OF WASHINGTON · PI SIMONI, JANE M. · 2021 to 2024
$5.8M
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 AA019511NIMH NIH HHS P30 MH123248
6 · The paper itself

Abstract

This paper introduces a meta-analytic mediation analysis approach for individual participant data (IPD) from multiple studies. Mediation analysis evaluates whether the effectiveness of an intervention on health outcomes occurs because of change in a key behavior targeted by the intervention. However, individual trials are often statistically underpowered to test mediation hypotheses. Existing approaches for evaluating mediation in the meta-analytic context are limited by their reliance on aggregate data; thus, findings may be confounded with study-level differences unrelated to the pathway of interest. To overcome the limitations of existing meta-analytic mediation approaches, we used a one-stage estimation approach using structural equation modeling (SEM) to combine IPD from multiple studies for mediation analysis. This approach (1) accounts for the clustering of participants within studies, (2) accommodates missing data via multiple imputation, and (3) allows valid inferences about the indirect (i.e., mediated) effects via bootstrapped confidence intervals. We used data (N = 3691 from 10 studies) from Project INTEGRATE (Mun et al. Psychology of Addictive Behaviors, 29, 34-48, 2015) to illustrate the SEM approach to meta-analytic mediation analysis by testing whether improvements in the use of protective behavioral strategies mediate the effectiveness of brief motivational interventions for alcohol-related problems among college students. To facilitate the application of the methodology, we provide annotated computer code in R and data for replication. At a substantive level, stand-alone personalized feedback interventions reduced alcohol-related problems via greater use of protective behavioral strategies; however, the net-mediated effect across strategies was small in size, on average.

Indexed as

Mediation AnalysisMotivationCrisis InterventionHumansLatent Class AnalysisStudentsBootstrap inference with multiple imputationBrief alcohol interventionComplex synthesisIndirect effectIntegrative data analysis

Identifiers

PMID34767159
PMCPMC8975788
OpenAlexW3213707856

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.