Evidence map›Paper›PMID 39409234›Full record

ArticleSensors (Basel, Switzerland)2024

Agreement and Sensitivity of the Acceleration-Velocity Profile Derived via Local Positioning System.

Mladen Jovanović, Adriano Arguedas-Soley, Dimitrije Cabarkapa, Håkan Andersson, Dóra Nagy, Nenad Trunić, Vladimir Banković, Répási Richárd, Sandor Safar, Laszlo Ratgeber

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Mladen JovanovićFaculty of Sport and Physical Education, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0002-4013-6530
Adriano Arguedas-SoleySchool of Health Sciences, Western Sydney University, Sydney, NSW 2751, Australia.
Dimitrije CabarkapaJayhawk Athletic Performance Laboratory-Wu Tsai Human Performance Alliance, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, KS 66045, USA.ORCID 0000-0001-9912-3251
Håkan AnderssonHigh Performance Center, 35246 Vaxjo, Sweden.
Dóra NagyFaculty of Health Sciences, Doctoral School of Health Sciences, University of Pecs, 7621 Pecs, Hungary.
Nenad TrunićFaculty of Physical Culture and Sports Management, Singidunum University, 11000 Belgrade, Serbia.ORCID 0000-0001-5339-7695
Vladimir BankovićFaculty of Physical Culture and Sports Management, Singidunum University, 11000 Belgrade, Serbia.ORCID 0009-0000-5133-4383
Répási RichárdCenter for Basketball Methodology and Education, 7621 Pecs, Hungary.
Sandor SafarInstitute of Sport, Training Theory and Methodology Research Center, University of Physical Education, 1123 Budapest, Hungary.ORCID 0009-0006-2016-4434
Laszlo RatgeberFaculty of Health Sciences, Institute of Physiotherapy and Sport Science, University of Pecs, 7621 Pecs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sprint performance is commonly assessed via discrete sprint tests and analyzed through kinematic estimates modeled using a mono-exponential equation, including estimated maximal sprinting speed (MSS), relative acceleration (TAU), maximum acceleration (MAC), and relative propulsive maximal power (PMAX). The acceleration-velocity profile (AVP) provides a simple summary of short sprint performance using two parameters: MSS and MAC, which are useful for simplifying descriptions of sprint performance, comparison between athletes and groups of athletes, and estimating changes in performance over time or due to training intervention. However, discrete testing poses logistical challenges and defines an athlete's AVP exclusively from the performance achieved in an isolated testing environment. Recently, an in situ AVP (velocity-acceleration method) was proposed to estimate kinematic parameters from velocity and acceleration data obtained via global or local positioning systems (GPS/LPS) over multiple training sessions, plausibly improving the time efficiency of sprint monitoring and increasing the sample size that defines the athlete's AVP. However, the validity and sensitivity of estimates derived from the velocity-acceleration method in relation to changes in criterion scores remain elusive. To assess the concurrent validity and sensitivity of kinematic measures from the velocity-acceleration method, 31 elite youth basketball athletes (23 males and 8 females) completed two maximal effort 30 m sprint trials. Performance was simultaneously measured by a laser gun and an LPS (Kinexon), with kinematic parameters estimated using the time-velocity and velocity-acceleration methods. Agreement (%Bias) between laser gun and LPS-derived estimates was within the practically significant magnitude (±5%), while confidence intervals for the percentage mean absolute difference (%MAD) overlapped practical significance for TAU, MAC, and PMAX using the velocity-acceleration method. Only the MSS parameter showed a sensitivity (%MDC95) within practical significance (<5%), with all other parameters showing unsatisfactory sensitivity (>10%) for both the time-velocity and velocity-acceleration methods. Thus, sports practitioners may be confident in the concurrent validity and sensitivity of MSS estimates derived in situ using the velocity-acceleration method, while caution should be applied when using this method to infer an athlete's maximal acceleration capabilities.

Indexed as

AccelerationAthletesAthletic PerformanceGeographic Information SystemsRunningAdolescentBiomechanical PhenomenaFemaleHumansMaleathleteGPSin situLPSperformancespeedsportsprintingtesting

Identifiers

PMID39409234
PMCPMC11478346

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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.