Evidence map›Paper›PMID 38439052›Full record

ArticleBMC sports science, medicine & rehabilitation2024

Effect of maturation level on normative specific-agility performance metrics and their fitness predictors in soccer players aged 11-18 years.

Mohamed Sellami, Emna Makni, Wassim Moalla, Raghad Tarwneh, Mohamed Elloumi

Open access · goldAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 11% of its field
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, 6 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Mohamed SellamiResearch Laboratory of Exercise Physiology and Pathophysiology (LR19ES09), Faculty of Medicine of Sousse. Sousse, University of Sousse, Sousse, Tunisia.
Emna MakniResearch Laboratory of Exercise Physiology and Pathophysiology (LR19ES09), Faculty of Medicine of Sousse. Sousse, University of Sousse, Sousse, Tunisia.
Wassim MoallaLR 19JS01 EM2S, Education, Motricity, Sport and Health, High Institute of Sport and Physical Education, University of Sfax, Sfax, Tunisia.
Raghad TarwnehSport Sciences and Diagnostics Research Group, GS-HPE Department, Prince Sultan University, Riyadh, Saudi Arabia.
Mohamed ElloumiSport Sciences and Diagnostics Research Group, GS-HPE Department, Prince Sultan University, Riyadh, Saudi Arabia. melloumi@psu.edu.sa.
Prince Sultan University · SAUniversity of Sousse · TNUniversity of Sfax · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn sports sciences, normative data serve as standards for specific physical performance attributes, enhancing talent identification within a specific population. The aim of this study was to provide standard data for Agility-15 m, Ball-15 m tests, and skill index, considering maturation level, specifically age at peak height velocity (PHV). The study also investigated the relationship between relative performances in these tests and anthropometrics, jumping (squat jump [SJ], countermovement jump [CMJ]), and sprinting abilities (S-5 m, S-10 m, S-20 m, S-30 m) in young soccer players.

methodsThe study involved 647 soccer players aged 11-18 years, categorized into three groups: pre-PHV, circum-PHV, and post-PHV. Statistical analysis was conducted using analysis of variance and Bonferroni post hoc testing to detect variations among maturation groups, and Pearson's correlation test to examine the relationship between factors.

resultsAgility-15 m and ball-15 m performances among maturity groups showed significant differences (p < 0.01). Significant correlations were identified in pre-PHV group, between lower limb length and Agility-15 m (r=-0.23, p < 0.05) and between height and Ball-15 m (r=-0.23, p < 0.05). In post-PHV group, there was a correlation between body fat percentage (BF %) and Agility-15 m (r = 0.17, p < 0.05) and Ball-15 m (r = 0.21, p < 0.05). In all maturity groups, there were significant correlations between agility and sprint tests (S-5 m, S-10 m, S-20 m, and S-30 m) and muscle power (SJ and CMJ).

conclusionThe study revealed that both speed and lower limb power significantly influence agility in young soccer players, providing valuable insights for coaches and practitioners to create tailored training plans and interventions for different age groups and maturity levels.

Indexed as

Change of directionDeterminant factorsNormative dataSoccerYoung players

Identifiers

PMID38439052
PMCPMC10910778
OpenAlexW4392378268

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.