Evidence map›Paper›PMID 40218589›Full record

ArticleSensors (Basel, Switzerland)2025

The Reliability of 20 m Sprint Time Using a Novel Assessment Technique.

Patrick M Holmberg, Mico H Olivier, Vincent G Kelly

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

3 authors.

Patrick M HolmbergSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-8969-6221
Mico H OlivierSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, QLD 4000, Australia.
Vincent G KellySchool of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-0342-6416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sprint acceleration is critical for success in team sports. This study aimed to (a) establish the test-retest reliability of a novel method for assessing 20 m sprint performance and (b) determine the magnitude of meaningful change in 20 m sprint times. Thirty highly trained male team sport athletes completed sprint testing (2 × 20 m [separated by 5 min]) on two separate occasions, separated by 7 days. Sprint times (0-20, 0-10, 10-20 m) were recorded using infrared timing gates (Brower Timing Systems, West Valley City, UT, USA) connected to a motion start sensor positioned at the participant's rear leg while in a 2-point starting stance. 0-20, 0-10, and 10-20 m sprint times demonstrated acceptable reliability (CV = 0.52-1.36%, ICC = 0.89-0.95). Additionally, the smallest worthwhile change (SWC) was greater than the typical error (TE [95% CI]) for 0-20 (0.025 s) and 0-10 m (0.016 s) sprint times, indicating that meaningful changes can be reliably detected between testing sessions. However, the SWC was less than the TE for 10-20 m sprint times. This suggests the method may not reliably detect meaningful changes in sprint performance over this distance. As such, the minimal detectable change (95% CI) should be considered the threshold for meaningful change (0.033 s). The consistent and low TE across sprint distances highlights the test-retest reliability of the method for assessing 0-20 m sprint times in this population of highly trained male team sport athletes.

Indexed as

Athletic PerformanceRunningAccelerationAdultAthletesHumansMaleReproducibility of ResultsYoung Adultmotion start sensorreliabilitysprint testingteam sportstiming gates

Identifiers

PMID40218589
PMCPMC11991301

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.