Evidence map›Paper›PMID 36433206›Full record

ArticleSensors (Basel, Switzerland)2022

Sprint Acceleration Mechanical Outputs Derived from Position- or Velocity-Time Data: A Multi-System Comparison Study.

Charly Fornasier-Santos, Axelle Arnould, Jérémy Jusseaume, Benjamin Millot, Gaël Guilhem, Antoine Couturier, Pierre Samozino, Jean Slawinski, Jean-Benoît Morin

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06619132 (Training Load Adapted to Muscle Properties to Reduce Injury Occurrence in Sprint), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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.

NCT06619132 completednot on this map

Training Load Adapted to Muscle Properties to Reduce Injury Occurrence in Sprint

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2022 to 2024Enrolled160ConditionsNON APPLICABLE
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. A Load-Velocity Relationship in Sprint?Journal of functional morphology and kinesiology · 2023
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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

9 authors.

Charly Fornasier-SantosLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, France.ORCID 0000-0003-2407-2538
Axelle ArnouldLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, France.ORCID 0000-0003-3858-7284
Jérémy JusseaumeLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, France.ORCID 0000-0002-1057-5102
Benjamin MillotLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, France.ORCID 0000-0002-5896-1029
Gaël GuilhemLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, France.ORCID 0000-0002-0377-2060
Antoine CouturierLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, France.
Pierre SamozinoInteruniversity Laboratory of Human Movement Sciences, Univ Savoie Mont Blanc, EA 7424, 73000 Chambéry, France.
Jean SlawinskiLaboratory Sport Expertise and Performance (EA 7370), French Institute of Sport (INSEP), 75012 Paris, France.ORCID 0000-0002-4933-0882
Jean-Benoît MorinLAMHESS, University Côte d'Azur, 06000 Nice, France.

Funding

French Research Agency ANR-19-STPH-0003
6 · The paper itself

Abstract

To directly compare five commonly used on-field systems (motorized linear encoder, laser, radar, global positioning system, and timing gates) during sprint acceleration to (i) measure velocity−time data, (ii) compute the main associated force−velocity variables, and (iii) assess their respective inter-trial reliability. Eighteen participants performed three 40 m sprints, during which five systems were used to simultaneously and separately record the body center of the mass horizontal position or velocity over time. Horizontal force−velocity mechanical outputs for the two best trials were computed following an inverse dynamic model and based on an exponential fitting of the position- or velocity-time data. Between the five systems, the maximal running velocity was close (7.99 to 8.04 m.s−1), while the time constant showed larger differences (1.18 to 1.29 s). Concurrent validity results overall showed a relative systematic error of 0.86 to 2.28% for maximum and theoretically maximal velocity variables and 4.78 to 12.9% for early acceleration variables. The inter-trial reliability showed low coefficients of variation (all <5.74%), and was very close between all of the systems. All of the systems tested here can be considered relevant to measure the maximal velocity and compute the force−velocity mechanical outputs. Practitioners are advised to interpret the data obtained with either of these systems in light of these results.

Indexed as

Athletic PerformanceRunningAccelerationBiomechanical PhenomenaHumansReproducibility of ResultsforceGPSlinear encodersprintvelocity

Identifiers

PMID36433206
PMCPMC9698850

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Registered trials

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.