Evidence map›Paper›PMID 39643912›Full record

ArticleBMC sports science, medicine & rehabilitation2024

Multidimensional analysis of serving speed in volleyball players by position, sets, and league types: interactions and statistical differences.

Emre Altundag, Caglar Soylu, Zeki Akyildiz

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2024. 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

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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

3 authors.

Emre AltundagFaculty of Sport Sciences, Kütahya Dumlupınar University, Kütahya, Turkey.
Caglar SoyluGülhane Faculty of Physical Therapy and Rehabilitation, University of Health Sciences, Ankara, Turkey.
Zeki AkyildizSports Science Faculty, Department of Coaching Education, Afyon Kocatepe University, Afyonkarahisar, TÜRKİYE, Turkey. zakyildiz@aku.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOur study explores the multifaceted factors influencing serve speed in volleyball, including player position, match progression, and league level, providing actionable insights for performance optimization and injury prevention strategies.

methodsUsing a cross-sectional approach, the study analyzes 15.347 serves from various leagues. A multifactorial ANOVA analysis was conducted to assess how player positions, sets, and league types influence serving speed.

resultsSignificant differences were observed in serve speed between player positions (F = 375.844, p < .001), throughout match sets (F = 17.624, p < .001), and across different league types (F = 356.914, p < .001). Players in higher leagues, especially the 1st Men's league, displayed higher serve speeds compared to those in lower leagues (like the 2nd Women's league). Various serve types (jump float, jump spin, tennis serve) significantly impacted serve speed. Notable interactions between player positions and sets, as well as between positions and league types, were found. However, a three-way interaction among position, sets, and league type was not significant.

conclusionsThe study emphasizes the need for targeted training interventions considering competitive level, gender, and match progression to optimize serving speed. This research contributes to the field of sports science, especially for performance enhancement in competitive volleyball.

Indexed as

League typeMatch setsPlayer positionServing speedVolleyball

Identifiers

PMID39643912
PMCPMC11622488

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.