Evidence map›Paper›PMID 42762574›Full record

ArticleClinics (Sao Paulo, Brazil)2026

Predictive factors for running economy in female recreational runners.

Fabio de Paula Domingos, Vinícius Ribeiro Dos Anjos Souza, Lavínia Vivan, Claudio Andre Barbosa de Lira, Rodrigo Luiz Vancini, Katja Weiss, Beat Knechtle, Marilia Santos Andrade

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Fabio de Paula DomingosPost-graduate Program in Translation Medicine, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Vinícius Ribeiro Dos Anjos SouzaPost-graduate Program in Translation Medicine, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Lavínia VivanPost-graduate Program in Translation Medicine, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Claudio Andre Barbosa de LiraHuman and Exercise Physiology Division, Faculty of Physical Education, Universidade Federal de Goiás (UFG), Goiania, GO, Brazil.
Rodrigo Luiz VanciniCenter for Physical Education and Sports, Universidade Federal do Espírito Santo (Ufes), Vitória, ES, Brazil.
Katja WeissInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Beat KnechtleInstitute of Primary Care, University of Zurich, Zurich, Switzerland. Electronic address: beat.knechtle@hispeed.ch.
Marilia Santos AndradeDepartment of Physiology, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the predictive value of age, sport experience, lower-limb flexibility, lean mass, Fat percentage (%FAT), Maximal Oxygen consumption (V̇O

methodsA total of 61 female recreational runners aged 20-60 yr participated in this study. RE was evaluated based on the Energy Cost of running (EC). Additional parameters measured included V̇O

resultsEC was significantly associated with %FAT (r = 0.629, p < 0.001), flexibility (r = -0.388, p = 0.002), lean mass (r = -0.330, p = 0.009), and MAS (r = -0.516, p < 0.001). No significant correlations were observed between RE and age (r = 0.017, p = 0.896), sport experience (r = -0.119, p = 0.360), V̇O

conclusionThese findings indicate that %FAT and MAS were the key predictors of RE in female recreational runners, with higher %FAT associated with poorer RE and greater MAS correlating with improved RE. However, MAS showed a borderline association with EC (p = 0.052), suggesting a potential but cautious interpretation as a predictor. These insights underscore the importance of training strategies that optimize body composition and aerobic performance to enhance RE in female recreational runners.

Indexed as

Aerobic capacityBody compositionEnergy costRunning economyV̇O(2)max

Identifiers

PMID42762574
PMCPMC13627823

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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.