Evidence map›Paper›PMID 35625517›Full record

ArticleBiology2022

Modelling 5-km Running Performance on Level and Hilly Terrains in Recreational Runners.

Onécimo Ubiratã Medina Melo, Marcus Peikriszwili Tartaruga, Edilson Fernando de Borba, Daniel Boullosa, Edson Soares da Silva, Rodrigo Torma Bernardo, Renan Coimbra, Henrique Bianchi Oliveira, Rodrigo Gomes da Rosa, Leonardo Alexandre Peyré-Tartaruga

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

10 authors.

Onécimo Ubiratã Medina MeloExercise Research Laboratory, Physical Education, Physiotherapy and Dance Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil.
Marcus Peikriszwili TartarugaBiomechanics Laboratory, Department of Physical Education, Universidade Estadual do Centro Oeste, Guarapuava 85015-430, Brazil.
Edilson Fernando de BorbaPostgraduate Program in Physical Education, Universidade Federal do Paraná, Curitiba 80060-000, Brazil.ORCID 0000-0002-9399-1098
Daniel BoullosaPostgraduate Program in Movement Sciences, Universidade Federal do Mato Grosso do Sul, Campo Grande 79070-900, Brazil.ORCID 0000-0002-8477-127X
Edson Soares da SilvaExercise Research Laboratory, Physical Education, Physiotherapy and Dance Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil.ORCID 0000-0001-9169-5992
Rodrigo Torma BernardoExercise Research Laboratory, Physical Education, Physiotherapy and Dance Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil.
Renan CoimbraExercise Research Laboratory, Physical Education, Physiotherapy and Dance Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil.
Henrique Bianchi OliveiraExercise Research Laboratory, Physical Education, Physiotherapy and Dance Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil.
Rodrigo Gomes da RosaExercise Research Laboratory, Physical Education, Physiotherapy and Dance Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil.ORCID 0000-0003-0282-8218
Leonardo Alexandre Peyré-TartarugaExercise Research Laboratory, Physical Education, Physiotherapy and Dance Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90690-200, Brazil.ORCID 0000-0003-1742-5016

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 439392/2016LAPEX/UFRGS 019/2017National Council for Scientific and Technological Development 422193/2016
6 · The paper itself

Abstract

Incline and level running on treadmills have been extensively studied due to their different cardiorespiratory and biomechanical acute responses. However, there are no studies examining the performance determinants of outdoor running on hilly terrains. We aimed to investigate the influence of anthropometrics, muscle strength, and cardiorespiratory and gait spatiotemporal parameters during level (0%) and inclined (+7%) running on performance in level and hilly 5-km races. Twenty male recreational runners completed two 5-km outdoor running tests (0% vs. +7% and −7%), and two submaximal (10 km·h−1) and incremental treadmill tests at 0 and 7% slopes, after complete laboratory evaluations. The velocity at maximal oxygen consumption (VO2max) evaluated at 7% incline and level treadmill running were the best performance predictors under both hilly (R2 = 0.72; p < 0.05) and level (R2 = 0.85; p < 0.01) conditions, respectively. Inclusion of ventilatory and submaximal heart rate data improved the predictive models up to 100%. Conversely, none of the parameters evaluated in one condition contributed to the other condition. The spatiotemporal parameters and the runners’ strength levels were not associated to outdoor performances. These results indicate that the vVO2max evaluated at similar slopes in the lab can be used to predict 5-km running performances on both level and hilly terrains.

Indexed as

anthropometryathletic performancecardiorespiratory fitnessendurance traininglocomotion

Identifiers

PMID35625517
PMCPMC9138284

What OpenQuestion holds

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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.