Evidence map›Paper›PMID 42811200›Full record

SynthesisSports medicine - open2026

Development of Physical Fitness in Young Athletes: A Longitudinal Meta-analysis.

Ahlan B Lima, Ricardo T Quinaud, Gabriel F Reis, Fábio C Karasiak, Eva Ageberg, Filipe M Clemente, Carlos E Gonçalves, Humberto M Carvalho

Abstract readSystematic Review
In one paragraph

Synthesis in Sports medicine - open, 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

8 authors.

Ahlan B LimaSchool of Sports, Federal University of Santa Catarina, Florianópolis, SC, Brazil.ORCID http://orcid.org/0000-0001-8691-5719
Ricardo T QuinaudDepartment of Physical Education, University of the Extreme South of Santa Catarina, Criciúma, SC, Brazil.ORCID http://orcid.org/0000-0001-6043-3658
Gabriel F ReisGraduate Program in Psychology, Federal University of Santa Catarina, Florianópolis, SC, Brazil.ORCID http://orcid.org/0000-0002-1908-1424
Fábio C KarasiakSchool of Sports, Federal University of Santa Catarina, Florianópolis, SC, Brazil.ORCID http://orcid.org/0000-0002-2973-6770
Eva AgebergDepartment of Health Sciences, Faculty of Medicine, Lund University, PO Box 117, SE-221 00, Lund, Sweden.ORCID http://orcid.org/0000-0002-8639-3006
Filipe M ClementePolytechnic University of Coimbra, Coimbra, Portugal.ORCID http://orcid.org/0000-0001-9813-2842
Carlos E GonçalvesFaculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal.ORCID http://orcid.org/0000-0002-6687-9041
Humberto M CarvalhoSchool of Sports, Federal University of Santa Catarina, Florianópolis, SC, Brazil. humberto.moreira_carvalho@med.lu.se.ORCID http://orcid.org/0000-0002-2855-0296

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance code 001UNIEDU/FUMDE Programa UNIEDU/FUMDES Pós-graduação
6 · The paper itself

Abstract

backgroundUnderstanding how physical fitness develops during adolescence is critical for interpreting and optimizing training and setting realistic performance expectations in youth sport. Yet, evidence-based, age-referenced benchmarks that track multiple fitness components across sports remain lacking, leaving practitioners without reliable normative trajectories to guide athlete development. PURPOSE: This longitudinal meta-analysis estimated developmental trajectories for vertical jump, sprint, and endurance performance in male youth athletes across multiple sports using data from longitudinal studies.

methodsFollowing PRISMA guidelines, we conducted a systematic search of MEDLINE, Web of Science, and Scopus for studies with repeated measurements of vertical jump, 10-meter sprint, and endurance performance in male youth athletes, from database inception to October 4, 2025. Analyses were restricted to males due to an insufficient number of eligible studies including female athletes. We applied a risk-of-bias assessment adapted from the Cochrane risk-of-bias tool and examined publication bias through funnel plot inspection and Egger's regression test. We used Bayesian multilevel growth curve modeling to estimate age-related developmental trajectories, with analyses stratified by sport and test protocol.

resultsTwenty-eight studies met eligibility criteria, providing 41 independent samples across nine sports. Vertical jump and endurance performance exhibited curvilinear trajectories with peak velocity occurring at 13.2 years (68% CrI [±1 posterior SD]: 13.0; 13.5) and 13.8 years (68% CrI: 13.6; 14.2), respectively, overlapping the typical period of peak height velocity in male athletes. Sprint performance showed linear improvement throughout adolescence (ages 12-17) without distinct acceleration periods. Sport-specific analyses revealed varying absolute values but broadly similar developmental patterns within each fitness component, with rugby exhibiting the highest vertical jump values and minimal sport differences observed for sprint development.

conclusionThe present age-referenced trajectories offer practical benchmarks for monitoring progression and setting realistic expectations in youth sport contexts. Our findings reveal distinct developmental patterns-curvilinear trajectories for vertical jump and endurance with peak improvements around ages 13-14 versus linear progression for sprint-with peak velocities coinciding with typical maturation timing Trial registration: CRD42020175084 (PROSPERO) 25/03/2020.

Indexed as

Adolescent developmentAthletic performanceBayesian approachMultilevel analysisYouth sports

Identifiers

PMID42811200
PMCPMC13624235

What OpenQuestion holds

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Registered trials

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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.