Predicting the timing of the peak of the pubertal growth spurt in elite male youth soccer players

Evaluation of methods

Bibliographic Data

ID13924136
AuthorsJames Parr (0000-0002-2535-6498, Manchester Metropolitan University, corresponding author), Keith Winwood (0000-0002-8696-9976, Manchester Metropolitan University), Emma Hodson‐Tole (0000-0003-1200-1724, Manchester Metropolitan University), Frederik Deconinck (0000-0002-9064-9510, Ghent University), Les Parry (Manchester United Football Club, Manchester, UK), J P Hill (0000-0003-1039-5125, Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK), Robert M Malina (0000-0002-9402-0648, Department of Kinesiology and Health Education, University of Texas at Austin, Austin, TX, USA), Sean P Cummings (0000-0003-1705-9642, University of Bath)
Year2020
Volume47
Issue4
Pages400-408
Publication date2020-05-18
Open AccessYes
TypeARTICLE
VenueAnnals of Human Biology (JOURNAL)
Journal identifiersISSN: 0301-4460 • E-ISSN: 1464-5033
PublisherInforma (PUBLISHER • GB)
DOI10.1080/03014460.2020.1782989
PMID32543933
OpenAlexW3035026962
LanguageEN
Citations received4
References cited36

A final sample of 23 (from 28) adolescent male participants were selected from the academy of an English Premier League club. Anthropometric measures were collected across five playing seasons; age at PHV was estimated with Super-Imposition by Translation and Rotation (SITAR). The three protocols were compared based on measures at 13.0 years. Results and Conclusions: An age window based on predicted maturity offset did not improve estimation of PHV compared to generic age method; however, the percentage of predicted adult height window showed improvement in performance shown by the following results. Predicted age at PHV correctly assigned 15 participants (65%) as experiencing PHV, while the percentage height correctly assigned 17 participants (74%). Generic age and predicted age at PHV correctly predicted observed age at PHV for 14 participants (61%), percentage of adult height window correctly predicted 22 participants (96%)

Age groups · Anthropometry · Growth spurt · Demography · Genetics and Physical Performance · Medicine · Sports Analytics and Performance · Sports Performance and Training

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Open DOIOpen Access