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Improving the prediction of maturity from anthropometric variables using a maturity ratio

Job Fransen, Stephen Bush, Stephen Woodcock, Andrew Novak, Dieter Deprez (UGent) , Adam Baxter-Jones, Roel Vaeyens (UGent) and Matthieu Lenoir (UGent)
(2018) PEDIATRIC EXERCISE SCIENCE. 30(2). p.296-307
Author
Organization
Abstract
PURPOSE: This study aimed to improve the prediction accuracy of age at peak height velocity (APHV) from anthropometric assessment using nonlinear models and a maturity ratio rather than a maturity offset. METHODS: The dataset used to develop the original prediction equations was used to test a new prediction model, utilizing the maturity ratio and a polynomial prediction equation. This model was then applied to a sample of male youth academy soccer players (n = 1330) to validate the new model in youth athletes. RESULTS: A new equation was developed to estimate APHV more accurately than the original model (new model: Akaike information criterion: -6062.1, R2 = 90.82%; original model: Akaike information criterion = 3048.7, R2 = 88.88%) within a general population of boys, particularly with relatively high/low APHVs. This study has also highlighted the successful application of the new model to estimate APHV using anthropometric variables in youth athletes, thereby supporting the use of this model in sports talent identification and development. CONCLUSION: This study argues that this newly developed equation should become standard practice for the estimation of maturity from anthropometric variables in boys from both a general and an athletic population.
Keywords
Biomechanics and Motor control of Human Movement, sports, children, adolescence, growth, peak height velocity, YOUTH SOCCER PLAYERS, PEAK HEIGHT VELOCITY, X-RAY ABSORPTIOMETRY, BIOLOGICAL MATURATION, TALENT IDENTIFICATION, PHYSICAL PERFORMANCE, RELATIVE AGE, ADOLESCENTS, POSITIONS, CHILDREN

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MLA
Fransen, Job, et al. “Improving the Prediction of Maturity from Anthropometric Variables Using a Maturity Ratio.” PEDIATRIC EXERCISE SCIENCE, vol. 30, no. 2, 2018, pp. 296–307, doi:10.1123/pes.2017-0009.
APA
Fransen, J., Bush, S., Woodcock, S., Novak, A., Deprez, D., Baxter-Jones, A., … Lenoir, M. (2018). Improving the prediction of maturity from anthropometric variables using a maturity ratio. PEDIATRIC EXERCISE SCIENCE, 30(2), 296–307. https://doi.org/10.1123/pes.2017-0009
Chicago author-date
Fransen, Job, Stephen Bush, Stephen Woodcock, Andrew Novak, Dieter Deprez, Adam Baxter-Jones, Roel Vaeyens, and Matthieu Lenoir. 2018. “Improving the Prediction of Maturity from Anthropometric Variables Using a Maturity Ratio.” PEDIATRIC EXERCISE SCIENCE 30 (2): 296–307. https://doi.org/10.1123/pes.2017-0009.
Chicago author-date (all authors)
Fransen, Job, Stephen Bush, Stephen Woodcock, Andrew Novak, Dieter Deprez, Adam Baxter-Jones, Roel Vaeyens, and Matthieu Lenoir. 2018. “Improving the Prediction of Maturity from Anthropometric Variables Using a Maturity Ratio.” PEDIATRIC EXERCISE SCIENCE 30 (2): 296–307. doi:10.1123/pes.2017-0009.
Vancouver
1.
Fransen J, Bush S, Woodcock S, Novak A, Deprez D, Baxter-Jones A, et al. Improving the prediction of maturity from anthropometric variables using a maturity ratio. PEDIATRIC EXERCISE SCIENCE. 2018;30(2):296–307.
IEEE
[1]
J. Fransen et al., “Improving the prediction of maturity from anthropometric variables using a maturity ratio,” PEDIATRIC EXERCISE SCIENCE, vol. 30, no. 2, pp. 296–307, 2018.
@article{8552165,
  abstract     = {{PURPOSE: This study aimed to improve the prediction accuracy of age at peak height velocity (APHV) from anthropometric assessment using nonlinear models and a maturity ratio rather than a maturity offset.
METHODS: The dataset used to develop the original prediction equations was used to test a new prediction model, utilizing the maturity ratio and a polynomial prediction equation. This model was then applied to a sample of male youth academy soccer players (n = 1330) to validate the new model in youth athletes.
RESULTS: A new equation was developed to estimate APHV more accurately than the original model (new model: Akaike information criterion: -6062.1, R2 = 90.82%; original model: Akaike information criterion = 3048.7, R2 = 88.88%) within a general population of boys, particularly with relatively high/low APHVs. This study has also highlighted the successful application of the new model to estimate APHV using anthropometric variables in youth athletes, thereby supporting the use of this model in sports talent identification and development.
CONCLUSION: This study argues that this newly developed equation should become standard practice for the estimation of maturity from anthropometric variables in boys from both a general and an athletic population.}},
  author       = {{Fransen, Job and Bush, Stephen and Woodcock, Stephen and Novak, Andrew and Deprez, Dieter and Baxter-Jones, Adam and Vaeyens, Roel and Lenoir, Matthieu}},
  issn         = {{0899-8493}},
  journal      = {{PEDIATRIC EXERCISE SCIENCE}},
  keywords     = {{Biomechanics and Motor control of Human Movement,sports,children,adolescence,growth,peak height velocity,YOUTH SOCCER PLAYERS,PEAK HEIGHT VELOCITY,X-RAY ABSORPTIOMETRY,BIOLOGICAL MATURATION,TALENT IDENTIFICATION,PHYSICAL PERFORMANCE,RELATIVE AGE,ADOLESCENTS,POSITIONS,CHILDREN}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{296--307}},
  title        = {{Improving the prediction of maturity from anthropometric variables using a maturity ratio}},
  url          = {{http://doi.org/10.1123/pes.2017-0009}},
  volume       = {{30}},
  year         = {{2018}},
}
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