Evidence map›Paper›PMID 40248477›Full record

ArticleMeasurement in physical education and exercise science2025

Direct and Indirect Causal Effects of an Individual Randomized Physical Activity-Promoting Intervention: A Substantive-Methodological Synergy.

Nicholas D Myers, Ahnalee M Brincks, Seungmin Lee

Registry-linked trialAbstract read
In one paragraph

Article in Measurement in physical education and exercise science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03194854 (Well-Being and Physical Activity Study), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT03194854 nacompletednot on this map

Well-Being and Physical Activity Study

TypeinterventionalSponsorUniversity of MiamiRan2018 to 2018Enrolled900ConditionsHealth PromotionArmsFun For Wellness (FFW)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Nicholas D MyersDepartment of Kinesiology, Michigan State University.ORCID 0000-0001-9069-9940
Ahnalee M BrincksDepartment of Human Development and Family Studies, Michigan State University.ORCID 0000-0002-5049-1229
Seungmin LeeDepartment of Kinesiology, Iowa State University.ORCID 0000-0003-3463-4004

Funding

Developing Methods to Estimate Mediation Effects in Adaptive InterventionsK01DA046516 · NIDA · MICHIGAN STATE UNIVERSITY · PI BRINCKS, AHNALEE M · 2019 to 2023
$572k
NIDA NIH HHS K01 DA046516
6 · The paper itself

Abstract

Physical activity (PA) promotion is an ideal intervention target for public health because it has the potential to help individuals feel better, sleep better, and perform daily tasks more easily, in addition to providing disease prevention benefits. There is strong evidence that individual-level theory-based behavioral interventions are effective for increasing PA in adult populations but causal inference for potential specific pathways by which (i.e., how) these interventions exert total effects (i.e., direct and indirect) often is unclearly articulated - though frequently attempted to be estimated. Thus, the three objectives of this tutorial were to demonstrate: (1) common cause confounding assumptions required for identification of direct and indirect causal effects; (2) how to estimate identified direct and indirect causal effects of an individual-level theory-based PA-promoting intervention; (3) how to perform sensitivity to violation of common cause confounding assumption(s) analyses. The demonstration was based on the Well-Being and Physical Activity study (ClinicalTrials.gov, identifier:NCT03194854).

Indexed as

causal inferencecausal mediationpotential outcomes frameworkself-efficacy theorystructural equation modeling

Identifiers

PMID40248477
PMCPMC12002847

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.