Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/59317
Title: Disaggregating the influence of maturity status on training, anthropometric, performance, skeletal periphery, and hormonal factors in athletic boys
Contributor(s): Crewther, Blair T  (author); Pastuszak, Anna (author); Cook, Christian J  (author)orcid ; Staniak, Zbigniew (author)
Publication Date: 2024
Open Access: Yes
DOI: 10.1016/j.physbeh.2024.114502
Handle Link: https://hdl.handle.net/1959.11/59317
Abstract: 

Maturity offset (i.e., age from peak height velocity [PHV]) is widely used to assess maturational status among youth athletes, but details on the skeletal periphery, hormones and training factors are lacking. More precision is also needed to explicate the timing, tempo, and sequence of growth-related events. These gaps were addressed in a cross-sectional study. One hundred and two athletic boys (aged 14.1 ± 0.5 years) were evaluated for training details, salivary testosterone and cortisol, height, body mass, body mass index, body fat, fat-free mass (FFM), hand and carpal bone area, bone mineral content (BMC) and density (BMD), and countermovement jump performance. Participants were assigned to circa-PHV (N = 56) and post-PHV (N = 46) groups for comparisons, before data pooling and disaggregation using generalized additive and linear regression models. The older postPHV group had a larger body size, more testosterone, and better performance and skeletal outcomes, whilst weekly training and school-based exercise favored the younger circa-PHV group (all p < 0.001). Smoother plots verified these differences via linear, or weakly non-linear, associations. Maturity offset was predicted (R2 = 0.848) by the linear combination of FFM (42.0 % relative contribution), hand BMD (31.5 %), chronological age (16.0 %), testosterone (6.7 %), and training hours (3.8 %). In conclusion, athletic boys who presented at different stages of maturity (-0.98 to 2.84 years from PHV) also differed on many developmental features. Most variables increased at constant, or near-constant, tempo with a higher maturity offset, with FFM and hand BMD emerging as the strongest linear predictors of maturational status.

Publication Type: Journal Article
Source of Publication: Physiology & behavior, v.278, p. 1-7
Publisher: Elsevier Inc
Place of Publication: United States of America
ISSN: 1873-507X
0031-9384
Fields of Research (FoR) 2020: 3209 Neurosciences
Socio-Economic Objective (SEO) 2020: tbd
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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