Evidence map›Paper›PMID 40463319›Full record

ArticleJournal of human kinetics2025

What Variables Differentiate between Selected and Not Selected High-Performance Adolescent Track and Field Athletes?

Antonio E Vélez-Alcázar, Juan Alfonso García-Roca, Raquel Vaquero-Cristóbal

Abstract read
In one paragraph

Article in Journal of human kinetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A National Study of Somatotypes in Mexican Athletes Across 43 Sports.Journal of functional morphology and kinesiology · 2025
    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.

Antonio E Vélez-AlcázarFaculty of Sport Sciences, Universidad Católica de Murcia (UCAM), Murcia, Spain.ORCID https://orcid.org/0000-0003-1761-1169
Juan Alfonso García-RocaFaculty of Sport Sciences, Universidad Católica de Murcia (UCAM), Murcia, Spain.ORCID https://orcid.org/0000-0002-2315-3777
Raquel Vaquero-CristóbalResearch Group Movement Sciences and Sport (MS&SPORT), Department of Physical Activity and Sport, Faculty of Sport Sciences, University of Murcia, Murcia, Spain.ORCID https://orcid.org/0000-0003-2708-4817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of young talent and athlete development programs lack reliable and valid indicators that can predict future success. Therefore, the aim of the present study was to analyse the differences between selected and unselected athletes to define the determinant factors, as well as the influence of gender on the variables that could predict athletic success. The research was carried out using a cross-correlational descriptive design involving 95 athletes, of whom 46 were males (average age = 18.31 ± 2.31 years) and 49 were females (averaged age = 17.27 ± 1.44 years), and whose sociodemographic, psychological, physical and anthropometric variables were analysed. Significant differences were observed in maturity (p < 0.001), anthropometric variables related to bone structure, muscle mass, and body mass (p < 0.001 to 0.044), physical condition variations related to strength, power, sprint ability, flexibility, and balance (p < 0.001 to 0.013), as well as athletic experience and training variants (p = 0.003-0.004). These results should be taken into account for the sporting programming of young athletes and in order to be aware of the modulating effect of biological maturity and its influence on athletic performance.

Indexed as

body compositionmaturityperformancephysical fitnessyouth

Identifiers

PMID40463319
PMCPMC12127913

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.