Evidence map›Paper›PMID 32961300›Full record

ReviewJournal of sport and health science2021

Maturity-associated considerations for training load, injury risk, and physical performance in youth soccer: One size does not fit all.

Chris Towlson, Jamie Salter, Jack D Ade, Kevin Enright, Liam D Harper, Richard M Page, James J Malone

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of sport and health science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
13.7field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it, 177 citations in OpenAlex.

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17 more citing papers are in PubMed but not listed here.

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 at 6 institutions in 1 country.

Chris TowlsonDepartment of Sport, Health and Exercise Science, University of Hull, Hull HU6 7RX, UK. Electronic address: C.Towlson@hull.ac.uk.
Jamie SalterSchool of Sport, York St John University, York YO31 7EX, UK.
Jack D AdeLiverpool FC Academy, Liverpool Football Club, Liverpool L33 7ED, UK; Research Institute for Sport and Exercise Sciences, L3, Liverpool John Moores University, Liverpool L3 3A, UK.
Kevin EnrightResearch Institute for Sport and Exercise Sciences, L3, Liverpool John Moores University, Liverpool L3 3A, UK.
Liam D HarperHuman and Health Sciences, University of Huddersfield, Huddersfield HD1 3DH, UK.
Richard M PageDepartment of Sport and Physical Activity, Edge Hill University, Ormskirk L39 4QP, UK.
James J MaloneSchool of Health Sciences, Liverpool Hope University, Liverpool L16 9JD, UK.
Liverpool John Moores University · GBEdge Hill University · GBLiverpool Hope University · GBUniversity of Huddersfield · GBUniversity of Hull · GBYork St John University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological maturation can be defined as the timing and tempo of progress to achieving a mature state. The estimation of age of peak height velocity (PHV) or percentage of final estimated adult stature attainment (%EASA) is typically used to inform the training process in young athletes. In youth soccer, maturity-related changes in anthropometric and physical fitness characteristics are diverse among individuals, particularly around PHV. During this time, players are also at an increased risk of sustaining an overuse or growth-related injury. As a result, the implementation of training interventions can be challenging. The purpose of this review was to (1) highlight and discuss many of the methods that can be used to estimate maturation in the applied setting and (2) discuss the implications of manipulating training load around PHV on physical development and injury risk. We have provided key stakeholders with a practical online tool for estimating player maturation status (Supplementary Maturity Estimation Tools). Whilst estimating maturity using predictive equations is useful in guiding the training process, practitioners should be aware of its limitations. To increase the accuracy and usefulness of data, it is also vital that sports scientists implement reliable testing protocols at predetermined time-points.

Indexed as

Body Weights and MeasuresPhysical Functional PerformanceAdolescentAdolescent DevelopmentAthletic InjuriesAthletic PerformanceChildChild DevelopmentHumansSoccerSurveys and QuestionnairesGrowthInjuryMaturationSoccerTraining

Identifiers

PMID32961300
PMCPMC8343060
OpenAlexW3082460626

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.