Evidence map›Paper›PMID 32890399›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2021

Understanding Between-Person Interventions With Time-Intensive Longitudinal Outcome Data: Longitudinal Mediation Analyses.

Corina Berli, Jennifer Inauen, Gertraud Stadler, Urte Scholz, Patrick E Shrout

Abstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Approach Bias and Tobacco Craving as Mechanisms of the Effect of Approach Bias Retraining on Smoking Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  11. Exploring the role of psychological flexibility in relationship functioning among couples coping with prostate cancer: a cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  12. Practical challenges in mediation analysis: a guide for applied researchers.Health services & outcomes research methodology · 2025
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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

5 authors.

Corina BerliDepartment of Psychology, Applied Social and Health Psychology, University of Zurich, Binzmuehlestrasse, Zurich, Switzerland.
Jennifer InauenInstitute of Psychology, University of Bern, Bern, Switzerland.
Gertraud StadlerGender in Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Urte ScholzDepartment of Psychology, Applied Social and Health Psychology, University of Zurich, Binzmuehlestrasse, Zurich, Switzerland.
Patrick E ShroutDepartment of Psychology, New York University, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMediation analysis is an important tool for understanding the processes through which interventions affect health outcomes over time. Typically the temporal intervals between X, M, and Y are fixed by design, and little focus is given to the temporal dynamics of the processes. PURPOSE: In this article, we aim to highlight the importance of considering the timing of the causal effects of a between-person intervention X, on M and Y, resulting in a deeper understanding of mediation.

methodsWe provide a framework for examining the impact of a between-person intervention X on M and Y over time when M and Y are measured repeatedly. Five conceptual and analytic steps involve visualizing the effects of the intervention on Y, M, the relationship of M and Y, and the mediating process over time and selecting an appropriate analytic model.

resultsWe demonstrate how these steps can be applied to two empirical examples of health behavior change interventions. We show that the patterns of longitudinal mediation can be fit with versions of longitudinal multilevel structural equation models that represent how the magnitude of direct and indirect effects vary over time.

conclusionsWe urge researchers and methodologists to pay more attention to temporal dynamics in the causal analysis of interventions.

Indexed as

Empirical ResearchMediation AnalysisModels, StatisticalBiological Variation, PopulationHealth BehaviorHumansLatent Class AnalysisLongitudinal StudiesBetween-person interventionHealth behavior change interventionsIntensive longitudinal dataLongitudinal mediationMultilevel mediationTemporal dynamics

Identifiers

PMID32890399
PMCPMC8122473

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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.