Growth, Maturation, and Training

Baxter‐Jones, Adam

doi:10.1002/9781118357538.ch2

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…occurs at approximately 91-92% of adult stature (8,84), with the linear growth spurt lasting approximately 24-26 months (i.e., + -1 year from PHV) (82). Applying a band of one year prior to and post PHV to longitudinal reference data (84), the onset of the adolescent growth spurt (i.e., point of inflection from minimal growth velocity in childhood) would be expected of their predicted adult height and presents a growth velocity of 8 cm per year, it is likely that they are currently experiencing their adolescent growth spurt.…”

Section: Bio-banding: a History Of The Conceptmentioning

confidence: 99%

Bio-banding in Sport: Applications to Competition, Talent Identification, and Strength and Conditioning of Youth Athletes

Cumming

Lloyd

Oliver

et al. 2017

Strength &Amp; Conditioning Journal

234

299

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Bio-banding is the process of grouping athletes on the basis of attributes associated with growth and maturation, rather than chronological age. Children of the same age may vary considerably in biological maturation with some individuals maturing well in advance or delay of their peers. The timing of maturation has important implications for competition, talent identification and training. Increased awareness and interest in the subject of maturation has sparked a renewed interest in the study and application of bio-banding. This overview describes the purpose and process of bio-banding, potential benefits and limitations, and also presents some recent advances in its application in youth sports.

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Section: Bio-banding: a History Of The Conceptmentioning

confidence: 99%

Bio-banding in Sport: Applications to Competition, Talent Identification, and Strength and Conditioning of Youth Athletes

Cumming

Lloyd

Oliver

et al. 2017

Strength &Amp; Conditioning Journal

234

299

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“…40 A range of between 86 and 95% PPAH was used to classify players as "circa" or during the growth spurt. 13,14,41 This band has been shown to correctly classify 96% of players as being circa PHV. 42…”

Section: Growth Velocities and Maturity Statusmentioning

confidence: 99%

‘He’s got growth’: Coaches understanding and management of the growth spurt in male academy football

Hill

John²,

McGee

et al. 2022

International Journal of Sports Science & Coaching

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The majority of studies investigating maturation in football have focused on the impact of maturity status or timing upon athletic performance. There is comparatively little research investigating the impact of the adolescent growth spurt, and few research articles that have focussed on injury incidence and burden rather than performance. The aim of this study was to explore and better understand how the adolescent growth spurt impacts youth football players within professional academies. This longitudinal mixed-methods study aimed to understand youth football coaches’ perceptions, experiences, and management of male adolescent football players. Players’ maturity status, growth velocities, and match performance were measured and interviews with coaches were conducted in parallel. The qualitative and quantitative data were combined to generate a deeper contextualised understanding. This study revealed that academy football coaches describe adolescent growth as a ‘condition’; players are diagnosed with growth through perceived signs and symptoms, which coaches must manage and treat. Growth was also seen to impact coaches’ perceptions and therefore had implications for selection and release decisions. The findings from this study emphasise the complexities of experiencing and managing adolescent growth and maturation in the context of elite youth football.

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“…Young players can then be grouped into respective maturity bands: <85% PAH, prepubertal; ≥85% to <90%, early pubertal; ≥90% to ≤95%, mid-pubertal, or ≥95%, late pubertal ( Cumming et al, 2017). Of note, PHV will typically occur during 88-96% of PAH, often peaking, on average, at ~92% ( Baxter-Jones, 2013). It should be noted that this method was developed using predominantly white youths and may be inappropriate in multi-ethnic populations such as youth rugby.…”

Section: Box 42mentioning

confidence: 99%