Evidence map›Paper›PMID 34698351›Full record

ArticleTranslational behavioral medicine2022

Using factorial mediation analysis to better understand the effects of interventions.

Jillian C Strayhorn, Linda M Collins, Timothy R Brick, Sara H Marchese, Angela Fidler Pfammatter, Christine Pellegrini, Bonnie Spring

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2023
    Trial
  3. Identifying the active ingredients of a behavioral activation-based digital single-session intervention targeting depression.Clinical psychological science : a journal of the Association for Psychological Science · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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.

Jillian C StrayhornDepartment of Human Development and Family Studies, The Pennsylvania State University, State College, TX, USA.ORCID 0000-0003-3502-9623
Linda M CollinsSchool of Global Public Health, New York University, New York, NY, USA.
Timothy R BrickDepartment of Human Development and Family Studies, The Pennsylvania State University, State College, TX, USA.
Sara H MarcheseDepartment of Behavioral Medicine, Northwestern University, Chicago, IL, USA.
Angela Fidler PfammatterDepartment of Behavioral Medicine, Northwestern University, Chicago, IL, USA.
Christine PellegriniDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.ORCID 0000-0002-0922-0195
Bonnie SpringDepartment of Behavioral Medicine, Northwestern University, Chicago, IL, USA.

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Devalingam Mahalingam · 1993 to 2026
$153.9M
Opt-IN: Optimizing INtensive Lifestyle Intervention for Weight LossR01DK097364 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI COLLINS, LINDA M, SPRING, BONNIE · 2012 to 2016
$3.0M
The Center for Innovation in Intensive Longitudinal Studies (CIILS)U24AA027684 · NIAAA · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHOW, SY-MIIN · 2018 to 2022
$1.9M
NCI NIH HHS P30 CA060553NIAAA NIH HHS U24 AA027684NIDDK NIH HHS R01 DK097364
6 · The paper itself

Abstract

To improve understanding of how interventions work or why they do not work, there is need for methods of testing hypotheses about the causal mechanisms underlying the individual and combined effects of the components that make up interventions. Factorial mediation analysis, i.e., mediation analysis applied to data from a factorial optimization trial, enables testing such hypotheses. In this commentary, we demonstrate how factorial mediation analysis can contribute detailed information about an intervention's causal mechanisms. We briefly review the multiphase optimization strategy (MOST) and the factorial experiment. We use an empirical example from a 25 factorial optimization trial to demonstrate how factorial mediation analysis opens possibilities for better understanding the individual and combined effects of intervention components. Factorial mediation analysis has important potential to advance theory about interventions and to inform intervention improvements.

Indexed as

Mediation AnalysisHumansFactorial experimentMediation analysisMultiphase optimization strategyOptimization trial

Identifiers

PMID34698351
PMCPMC8764990

What OpenQuestion holds

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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.