Evidence map›Paper›PMID 40210916›Full record

ArticleScientific reports2025

Seasonal changes in the force velocity sprint profile of Spanish youth football players across age categories.

Antonio Hernandez-Martin, Jorge Garcia-Unanue, Fabio R Serpiello, Antonio Alonso-Callejo, Jose Luis Felipe, Leonor Gallardo, Javier Sanchez-Sanchez

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In one paragraph

Article in Scientific reports, 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

7 authors.

Antonio Hernandez-MartinDeparment of Sports Sciences. Faculty of Medicine, Health and Sports, Universidad Europea de Madrid, Villaviciosa de Odón, 28670, Spain. Antonio.hernandez@universidadeuropea.es.
Jorge Garcia-UnanueIGOID Research Group, Physical Activity and Sport Sciences Department, University of Castilla-La Mancha, Toledo, 45071, Spain.
Fabio R SerpielloSchool of Health Medical and Applied Sciences, Human Exercise and Training Lab, Central Queensland University, Rockhampton, Australia.
Antonio Alonso-CallejoIGOID Research Group, Physical Activity and Sport Sciences Department, University of Castilla-La Mancha, Toledo, 45071, Spain.
Jose Luis FelipeIGOID Research Group, Physical Activity and Sport Sciences Department, University of Castilla-La Mancha, Toledo, 45071, Spain.
Leonor GallardoIGOID Research Group, Physical Activity and Sport Sciences Department, University of Castilla-La Mancha, Toledo, 45071, Spain.
Javier Sanchez-SanchezDeparment of Sports Sciences. Faculty of Medicine, Health and Sports, Universidad Europea de Madrid, Villaviciosa de Odón, 28670, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to investigate the changes in the force-velocity (F-V) profile and 30-metres sprint times of youth football players over a competitive season and across different age groups. Sixty-four players were categorized into five age groups (Under-10 (U10), Under-12 (U12), Under-14 (U14), Under-16 (U16), Under-18 (U18)) and assessed at three time points during the season: the pre-season (P1), mid-season (P2), and end season (P3) using GNSS/GPS technology. Results showed that the theoretical maximum force (F0) increased by the end of the season compared to the baseline in U14, U16, and U18 (p < 0.05; ES: 1.92-5.19) and was also higher at the end compared to mid-season in U14 players (p < 0.05; ES: 3.01). The theoretical maximum velocity (V0) was significantly higher at the end of the season compared to the baseline in U12 (p < 0.05; ES: 2.61) and mid-season in U12 and U16 players (p < 0.05; ES: 1.70-2.37). U10 and U12 showed lower F0 and V0 values compared to older players across all periods. The study concludes that both the timing of the season and the age influence the F-V profile, with older age groups showing greater improvements. These findings provide valuable insights for optimizing training programs tailored to the seasonal changes and age of football.

Indexed as

Athletic PerformanceRunningSeasonsSoccerAdolescentAge FactorsAthletesChildHumansMaleSpainFootballForceGNSS/GPSVelocityYoung

Identifiers

PMID40210916
PMCPMC11986064

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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.