Evidence map›Paper›PMID 32439501›Full record

ArticleJournal of sport and health science2022

Biomechanical analysis of the "running" vs. "conventional" diagonal stride uphill techniques as performed by elite cross-country skiers.

Barbara Pellegrini, Chiara Zoppirolli, Federico Stella, Lorenzo Bortolan, Hans-Christer Holmberg, Federico Schena

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of sport and health science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

6 authors.

Barbara PellegriniCeRiSM (Research Centre of Mountain Sport and Health), University of Verona, Rovereto 38068, Italy; Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona 37129, Italy. Electronic address: barbara.pellegrini@univr.it.
Chiara ZoppirolliCeRiSM (Research Centre of Mountain Sport and Health), University of Verona, Rovereto 38068, Italy; Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona 37129, Italy.
Federico StellaCeRiSM (Research Centre of Mountain Sport and Health), University of Verona, Rovereto 38068, Italy.
Lorenzo BortolanCeRiSM (Research Centre of Mountain Sport and Health), University of Verona, Rovereto 38068, Italy; Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona 37129, Italy.
Hans-Christer HolmbergSwedish Winter Sports Research Centre, Department of Health Sciences, Mid Sweden University, Östersund 83125, Sweden; School of Kinesiology, University of British Columbia, Vancouver BC V6T 1Z1, Canada; Biomechanics Laboratory, Beijing Sport University, Beijing 100084, China.
Federico SchenaCeRiSM (Research Centre of Mountain Sport and Health), University of Verona, Rovereto 38068, Italy; Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona 37129, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to compare biomechanical aspects of a novel "running" diagonal stride (DS

methodsTen elite Italian male junior cross-country skiers skied on a treadmill at 10 km/h and at a 10° incline utilizing both variants of the diagonal stride technique. The 3-dimensional kinematics of the body, poles, and roller skis; the force exerted through the poles and foot plantar surfaces; and the angular motion of the leg joints were determined.

resultsCompared to DS

conclusionOur findings demonstrate that DS

Indexed as

RunningSkiingBiomechanical PhenomenaExercise TestHumansKnee JointMaleClassical skiingKineticsRoller skiing

Identifiers

PMID32439501
PMCPMC8847964

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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.