Evidence map›Paper›PMID 42606775›Full record

ArticleSports medicine - open2026

Exploring Factors to Explain Interindividual Responses to Running Economy in Advanced Footwear Technology Shoes: A Randomised Crossover Laboratory Trial with an Explanatory Predictor Analysis.

Kim Hebert-Losier, Christiaan Cumming, Benjamin Bidois, Anh Phong Nguyen, Marlene Giandolini

Abstract read
In one paragraph

Article in Sports medicine - open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kim Hebert-LosierSchool of Sport & Human Movement, Division of Health, University of Waikato, Tauranga, New Zealand. kim.hebert-losier@waikato.ac.nz.ORCID http://orcid.org/0000-0003-1087-4986
Christiaan CummingSchool of Sport & Human Movement, Division of Health, University of Waikato, Tauranga, New Zealand.ORCID http://orcid.org/0009-0002-1936-5053
Benjamin BidoisSchool of Sport & Human Movement, Division of Health, University of Waikato, Tauranga, New Zealand.ORCID http://orcid.org/0009-0001-0897-5238
Anh Phong NguyenResearch & Development, The Running Clinic™, Lac-Beauport, Québec, Canada.ORCID http://orcid.org/0000-0002-6473-1780
Marlene GiandoliniResearch and Sport Sciences, Salomon SAS, Annecy, France.ORCID http://orcid.org/0000-0003-1507-8356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced footwear technology (AFT) generally improves running economy (RE) measures on average by 4%, although considerable interindividual variability exists. We aimed to explore this interindividual variability in RE response to AFT compared to a CONTROL shoe and identify potential predictors of this variability. Specifically, differences in participant characteristics (e.g., age, sex, anthropometrics, running experience and speed, prior AFT use, V̇O

methodsSixty-four participants (50% female) attended two laboratory sessions at the University of Waikato Sports Science Laboratory in Cambridge, New Zealand, between 10 October 2024 and 7 February 2025. The first session collected baseline information and participant characteristics related to anthropometric, stiffness, strength, and V̇O

resultsAFT significantly improved RE (4.13 ± 1.6%, range: - 2.62% [detrimental] to 11.01% [beneficial]) based on change in oxygen consumption. Significant differences between above-threshold (n = 53) and below-threshold (n = 11) responders were limited to the former exhibiting greater gastrocnemius medialis (GM) stiffness normalised to leg length (mean difference = 33.4 N·m

conclusionAFT enhanced RE in most runners, with few factors explaining the interindividual variance observed.

trial registrationAustralian New Zealand Trials Registry, ACTRN12624000753550, 18th June 2024, prospectively.

Indexed as

Athletic performanceBiomechanical phenomenaInterindividual variabilityNeuromuscular functionOxygen consumption

Identifiers

PMID42606775
PMCPMC13481640

What OpenQuestion holds

Textmetadata
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.