Evidence map›Paper›PMID 38002378›Full record

ArticleBioengineering (Basel, Switzerland)2023

Multicomponent Velocity Measurement for Linear Sprinting: Usain Bolt's 100 m World-Record Analysis.

Stanislav Štuhec, Peter Planjšek, Milan Čoh, Krzysztof Mackala

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

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

  1. Pooled it
  2. Article
  3. Review
  4. Editorial: Biomechanics, Health, Disease and Rehabilitation.Bioengineering (Basel, Switzerland) · 2025
    Article
  5. Article
  6. 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

4 authors.

Stanislav ŠtuhecFaculty of Sport, University of Ljubljana, Gortanova Ul. 22, 1000 Ljubljana, Slovenia.
Peter PlanjšekLjubljana School of Business, Management and Informatics, Tržaška Cesta 42, 1000 Ljubljana, Slovenia.
Milan ČohFaculty of Sport, University of Ljubljana, Gortanova Ul. 22, 1000 Ljubljana, Slovenia.
Krzysztof MackalaFaculty of Physical Education and Sport, Wroclaw University of Health and Sport Science, Ul. Paderewskiego 35, 51-612 Wrocław, Poland.ORCID 0000-0001-6750-4316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this report is to provide additional analysis and commentary on the men's 100 m world record of 9.58 s, set by Usain Bolt in the 2009 Berlin World Championships in Athletics. In addition, the entire race underwent a unique kinematic analysis, particularly emphasizing the maximum running velocity and its related factors. It was possible due the application of the new Stuhec software. The data were provided by LAVEG'S advanced laser measurement technology based on positional data with a high spatiotemporal resolution. The maximum velocity phase is the most critical determinant of the final race time. Bolt completed two phases in this world-record 100 m sprint: acceleration and top velocity. The borderline between these phases reached the highest velocity of 12.32 m/s on a 52 m run. He could keep the maximum velocity in five 10 m sections (50-100 m). The occurrence of functional asymmetry-the difference in step length between the left and right legs-was also noticed. Longer steps were taken with the left leg, almost over 80 m. From a practical point of view, new technologies (e.g., software) allow coaches and athletes to analyze the kinematic parameters of sprinting even more precisely and in detail. They must take into account precise changes in the course of maximum speed and the parameters determining it which are step length and frequency. Based on such an analysis, it is possible to modify the training process aimed at increasing the potential, both maximum speed and the supporting factors of strength and power. This must be conditioned by the appropriate selection of training measures shaping the abovementioned motor skills and parameters describing the optimal sprinting technique.

Indexed as

functional asymmetrykinematic analysislaser measurementmaximum velocitysprinting

Identifiers

PMID38002378
PMCPMC10669785

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.