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

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dc.creatorHuh, David
dc.creatorLi, Xiaoyin
dc.creatorZhou, Zhengyang
dc.creatorWalters, Scott T.
dc.creatorBaldwin, Scott A.
dc.creatorTan, Zhengqi
dc.creatorLarimer, Mary E.
dc.creatorMun, Eun-Young
dc.creator.orcid0000-0002-1820-615X (Mun, Eun-Young)
dc.creator.orcid0000-0002-8039-418X (Zhou, Zhengyang)
dc.creator.orcid0000-0003-4074-6141 (Walters, Scott T.)
dc.creator.orcid0000-0002-2297-2770 (Tan, Zhengqi)
dc.creator.orcid0000-0001-8028-8910 (Li, Xiaoyin)
dc.date.accessioned2022-10-14T14:32:33Z
dc.date.available2022-10-14T14:32:33Z
dc.date.issued2021-11-12
dc.description.abstractThis 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.
dc.description.sponsorshipThe project described was supported by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) grants R01 AA019511 and K02 AA028630. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIAAA or the National Institutes of Health.
dc.identifier.citationHuh, D., Li, X., Zhou, Z., Walters, S. T., Baldwin, S. A., Tan, Z., Larimer, M. E., & Mun, E. Y. (2022). 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. Prevention science : the official journal of the Society for Prevention Research, 23(3), 390-402. https://doi.org/10.1007/s11121-021-01318-4
dc.identifier.issn1573-6695
dc.identifier.issue3
dc.identifier.urihttps://hdl.handle.net/20.500.12503/31860
dc.identifier.volume23
dc.publisherSpringer Nature
dc.relation.urihttps://doi.org/10.1007/s11121-021-01318-4
dc.rights.holder© The Author(s) 2021
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePrevention Science
dc.subjectBootstrap inference with multiple imputation
dc.subjectBrief alcohol intervention
dc.subjectComplex synthesis
dc.subjectIndirect effect
dc.subjectIntegrative data analysis
dc.subject.meshCrisis Intervention
dc.subject.meshHumans
dc.subject.meshLatent Class Analysis
dc.subject.meshMediation Analysis
dc.subject.meshMotivation
dc.subject.meshStudents
dc.titleA 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
dc.typeArticle
dc.type.materialtext

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