Evidence map›Paper›PMID 38067721›Full record

ArticleSensors (Basel, Switzerland)2023

Running Economy in the Vertical Kilometer.

Pablo Jesus Bascuas, Héctor Gutiérrez, Eduardo Piedrafita, Juan Rabal-Pelay, César Berzosa, Ana Vanessa Bataller-Cervero

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. External mechanical efficiency across incremental VOCurrent research in physiology · 2026
    Article
  2. Article
  3. Article
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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

6 authors.

Pablo Jesus BascuasFacultad de Ciencias de la Salud, Universidad San Jorge, Autov. A-23 Zaragoza-Huesca, 50830 Villanueva de Gallego, Spain.ORCID 0000-0002-8770-2106
Héctor GutiérrezFacultad de Ciencias de la Salud, Universidad San Jorge, Autov. A-23 Zaragoza-Huesca, 50830 Villanueva de Gallego, Spain.ORCID 0000-0002-0411-2945
Eduardo PiedrafitaFacultad de Ciencias de la Salud, Universidad San Jorge, Autov. A-23 Zaragoza-Huesca, 50830 Villanueva de Gallego, Spain.ORCID 0000-0001-6349-2370
Juan Rabal-PelayFacultad de Ciencias de la Salud, Universidad San Jorge, Autov. A-23 Zaragoza-Huesca, 50830 Villanueva de Gallego, Spain.ORCID 0000-0003-0879-1209
César BerzosaFacultad de Ciencias de la Salud, Universidad San Jorge, Autov. A-23 Zaragoza-Huesca, 50830 Villanueva de Gallego, Spain.ORCID 0000-0001-7783-6672
Ana Vanessa Bataller-CerveroFacultad de Ciencias de la Salud, Universidad San Jorge, Autov. A-23 Zaragoza-Huesca, 50830 Villanueva de Gallego, Spain.ORCID 0000-0002-6368-875X

Funding

Departamento de Ciencia, Universidad y Sociedad del Conocimiento, from the Gobierno de Aragón (Spain) (Research Group ValorA) S08_23R
6 · The paper itself

Abstract

New and promising variables are being developed to analyze performance and fatigue in trail running, such as mechanical power, metabolic power, metabolic cost of transport and mechanical efficiency. The aim of this study was to analyze the behavior of these variables during a real vertical kilometer field test. Fifteen trained trail runners, eleven men (from 22 to 38 years old) and four women (from 19 to 35 years old) performed a vertical kilometer with a length of 4.64 km and 835 m positive slope. During the entire race, the runners were equipped with portable gas analyzers (Cosmed K5) to assess their cardiorespiratory and metabolic responses breath by breath. Significant differences were found between top-level runners versus low-level runners in the mean values of the variables of mechanical power, metabolic power and velocity. A repeated-measures ANOVA showed significant differences between the sections, the incline and the interactions between all the analyzed variables, in addition to differences depending on the level of the runner. The variable of mechanical power can be statistically significantly predicted from metabolic power and vertical net metabolic COT. An algebraic expression was obtained to calculate the value of metabolic power. Integrating the variables of mechanical power, vertical velocity and metabolic power into phone apps and smartwatches is a new opportunity to improve performance monitoring in trail running.

Indexed as

Oxygen ConsumptionRunningAdultBiomechanical PhenomenaEnergy MetabolismFatigueFemaleHumansMaleYoung Adultenergy expenditurehuman movementperformance monitoringtrail running

Identifiers

PMID38067721
PMCPMC10708873

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.