Evidence map›Paper›PMID 40993779›Full record

ArticleBMC sports science, medicine & rehabilitation2025

Integrating trunk endurance, dynamic stability, and in-game performance analysis in youth elite basketball players.

Anna Gál-Pottyondy, Zsófia Pálya, Lukasz Trzaskoma, Rita M Kiss

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2025. 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

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

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

4 authors.

Anna Gál-PottyondyDoctoral School of Sport Sciences, Hungarian University of Sport Science, Alkotás street 42-4, 1525 Pf. 69, Budapest, H-1123, Hungary.
Zsófia PályaDepartment of Mechatronics, Optics and Engineering Informatics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp.3, Budapest, H-1111, Hungary.
Lukasz TrzaskomaThe Hungarian Basketball Federation, Budapest, Istvánmezei Út 1-3, Budapest, H-1146, Hungary.
Rita M KissDepartment of Mechatronics, Optics and Engineering Informatics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp.3, Budapest, H-1111, Hungary. rita.kiss@mogi.bme.hu.

Funding

Hungarian Scientific Research Fund K146308Nemzeti Kutatási, Fejlesztési és Innovaciós Alap EKÖP-24-4-I-BME-252
6 · The paper itself

Abstract

backgroundPhysical preparation in basketball is essential but often limited by training time and prior focus on tactical and technical skills. While postural stability is known to assist injury prevention and performance, its specific impact on game-related performance remains unclear. With the development of motion analysis systems, the numerical values of external and internal loads measured during matches have become measurable. This study aimed to examine the relationship between postural stability and game-related performance and introduce a method for visualizing key competencies.

methodTwenty-three U16 female basketball players (age = 15.22 ± 0.82 years, mass = 66.3 ± 8.85 kg, high = 174.0 ± 8.2 cm) participated from the Hungarian first league. Postural stability was assessed via plank test and one minute dynamic standing balance tests, while game-related performance was monitored through match-derived internal and external load values measured by WIMU PRO™ System, alongside statistical data derived from the official box scores. After the postural stability measurements, we monitored an official basketball match, which was conducted according to official International Basketball Association (FIBA) rules. For clear and comprehensive presentation, we combined the game-related performance indicators using Principal Component Analysis (PCA).

resultsA moderate correlation (0.5 < r < 0.8, p < 0.05) was found between the game-related performance and postural stability variables. However, plank test indicators showed no significant correlations with game-related performance variables, except for bad throws (r = 0.56, p = 0.037), the postural error (PE), a variable reflecting compensatory movement during fatigue in the plank test, correlated with balance indicators (r = 0.63, p = 0.014). Mediolateral balance control correlated with explosive game-related performace metrics, including maximum acceleration (r = -0.65, p = 0.01), deceleration (r = 0.56, p = 0.035), and steals (r = -0.52, p = 0.05). PCA proved effective in creating game competency scores, enabling a graphical representation of game-related performance.

conclusionFindings suggest that trunk endurance alone was not directly related to game-related performance, while dynamic balance metrics showed moderate correlations. The PE values provide deeper insights into the balance-trunk stability relation. The dynamic balance test could support player monitoring, and the PCA based method facilitates player profiling.

Indexed as

BasketballDynamic balanceMatch monitoringTrunk muscle endurance

Identifiers

PMID40993779
PMCPMC12462323

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.