Evidence map›Paper›PMID 42817050›Full record

ArticleEuropean journal of sport science2026

Enhancing the Interpretation of Competition Performance and Physical Characteristics in Male Youth Track and Field Athletes.

James Baker, Paul Read, Philip Graham-Smith, Mauricio Monaco, Marco Cardinale, Thomas W Jones

Abstract read
In one paragraph

Article in European journal of sport science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

James BakerAspire Academy for Sport Excellence, Doha, Qatar.ORCID https://orcid.org/0009-0006-1576-3125
Paul ReadLondon Sports Institute, Middlesex University, Dubai, UAE.ORCID https://orcid.org/0000-0002-1508-8602
Philip Graham-SmithAspire Academy for Sport Excellence, Doha, Qatar.ORCID https://orcid.org/0009-0003-2443-3994
Mauricio MonacoAspetar Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar.ORCID https://orcid.org/0000-0002-4377-1476
Marco CardinaleDepartment of Sport Exercise and Rehabilitation, Northumbria University, Newcastle Upon Tyne, UK.ORCID https://orcid.org/0000-0002-2777-8707
Thomas W JonesDepartment of Sport Exercise and Rehabilitation, Northumbria University, Newcastle Upon Tyne, UK.ORCID https://orcid.org/0000-0003-2263-5261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study examined the associations of maturity status and chronological age with competition and physical testing outcomes in youth track and field athletes, and evaluated corrective adjustment procedures for competition outcomes. Data were collected over five seasons from 75 male athletes (13.9 ± 1.3 years; percentage predicted adult height (%PAH) 93.3 ± 4.6%; height 164.1 ± 10.1 cm; body mass 51.4 ± 10.4 kg) for 60 m sprint, long jump (LJ), countermovement jump, isometric leg press, 10-5 repeated jump test, and 50 m sprint outcomes. Linear mixed models (LMMs) quantified the individual associations of maturity status and chronological age with each outcome. Model-derived fixed-effect coefficients were used to apply mean- and sample-maximum corrections to 60 m and LJ performances. Mean corrections were effective at reducing maturity-performance relationships for the 60 m (r = -0.78 to -0.11, R

Indexed as

Athletic PerformanceCompetitive BehaviorTrack and FieldAdolescentAge FactorsExercise TestHumansMaleRetrospective Studiesathleticsgrowth and maturationtalent identification

Identifiers

PMID42817050
PMCPMC13627884

What OpenQuestion holds

Textmetadata
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.